Occult polyclonality of preclinical pancreatic cancer models drives in vitro evolution
Open accessPublished version of a preprint
Abstract
Heterogeneity is a hallmark of cancer. The advent of single-cell technologies has helped uncover heterogeneity in a high-throughput manner in different cancers across varied contexts. Here we apply single-cell sequencing technologies to reveal inherent heterogeneity in assumptively monoclonal pancreatic cancer (PDAC) cell lines and patient-derived organoids (PDOs). Our findings reveal a high degree of both genomic and transcriptomic polyclonality in monolayer PDAC cell lines, custodial variation induced by growing apparently identical cell lines in different laboratories, and transcriptomic shifts in transitioning from 2D to 3D spheroid growth models. Our findings also call into question the validity of widely available immortalized, non-transformed pancreatic lines as contemporaneous “control” lines in experiments. We confirm these findings using a variety of independent assays, including but not limited to whole exome sequencing, single-cell copy number variation sequencing (scCNVseq), single-nuclei assay for transposase-accessible chromatin with sequencing, fluorescence in-situ hybridization, and single-cell RNA sequencing (scRNAseq). We map scRNA expression data to unique genomic clones identified by orthogonally-gathered scCNVseq data of these same PDAC cell lines. Further, while PDOs are known to reflect the cognate in vivo biology of the parental tumor, we identify transcriptomic shifts during ex vivo passage that might hamper their predictive abilities over time. The impact of these findings on rigor and reproducibility of experimental data generated using established preclinical PDAC models between and across laboratories is uncertain, but a matter of concern.
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TL;DR
Single-cell genomic and transcriptomic profiling of commonly used pancreatic cancer cell lines, “normal” controls, and patient-derived organoids reveals unexpected polyclonality, cross-laboratory divergence, and culture-induced transcriptomic/epigenetic shifts. The authors argue these occult differences undermine assumptions of clonality and reproducibility in preclinical PDAC models.
Key findings
- Across six pancreatic cell lines and nine scRNA-seq samples (77,068 cells), the authors found substantial subclonal heterogeneity in assumptively monoclonal PDAC lines; seven samples also had scCNV-seq. HPDE “control” cells showed bi-allelic losses at 3p, 8p, and 9p, a chromosome 20q amplification (CN > 10 in a minor fraction of subclones) spanning AURKA, and AURKA transcript levels 2–4 fold higher than HPNE in at least 20% of cells.
- HPNE cells were comparatively homogeneous by scCNV but had a 17q amplification including BRCA1, with at least 24% of HPNE cells highly expressing BRCA1 relative to HPDE.
- Three MiaPaca2 strains from different sources showed transcriptomic divergence: MP2-A and MP2-C were entirely Moffitt “basal-like” (9,768 and 10,886 cells), while MP2-B was admixed (3,456 basal-like and 3,556 classical). Clonealign mapped scCNV clones to scRNA subpopulations, e.g., MP2-B subclone 1 had 1,096 cells and subclone 2 had 813 cells, with distinct oncogenic pathway enrichment.
- Panc1 2D versus 3D spheroid growth showed epigenetic remodeling by snATAC-seq (9,785 nuclei in 2D, 7,453 in 3D), with Sp/Klf motif enrichment in spheroids and Fos/Jun motif enrichment in 2D. A PDO profiled at early and late passage, separated by 10 passages, developed two transcriptional fates and inferred chromosome 16p gain plus chromosome 19q loss in one late-passage fate.
Methods
- Cultured PDAC lines (Panc-1, MiaPaCa2, HPAF-II, BxPC-3), immortalized controls (HPNE, HPDE), and a PDAC patient-derived organoid at early and late passages; all cell lines were fingerprinted before sequencing.
- Used 10x Genomics scRNA-seq, scCNV-seq, whole-exome sequencing, snATAC-seq, FISH, ddPCR, inferCNV, clonealign, GSEA, diffusion-map cladogram analysis, and Monocle trajectory inference.
- Compared cell lines across sources and growth conditions (2D monolayer vs. 3D spheroid), mapped scCNV clones to scRNA clusters, and assessed Moffitt subtype assignment and pathway enrichment.
Limitations
- The paper states that clonealign’s design filtered out a large number of scCNV-sequenced cells, and that the impact of these findings on rigor and reproducibility is “uncertain, but a matter of concern.”
- The paper notes that later-passage PDOs may need periodic re-interrogation with single-cell analytics or a reliable surrogate assay to measure divergence over time.
- Evident from the text: the study profiles a limited panel of cell lines and a single PDO, and several mechanistic interpretations (e.g., AURKA-driven instability in HPDE, BRCA1-mediated genomic quiescence in HPNE) are speculative and not functionally validated here.
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- Findingown data
There are marked transcriptomic differences, including expression-based subtype classification, in microsatellite authenticated MiaPaca2 cells obtained from three independent sources.
“We further demonstrate marked transcriptomic differences (including expression-based subtype classification) in microsatellite authenticated MiaPaca2 cells obtained from three independent sources.”
Quote in the paperSubstantial claim - Findingown data
A later-passage PDO shows significant genomic and transcriptomic divergence from an earlier passage.
“Finally, we describe the significant genomic and transcriptomic divergence of a later-passage PDO from an earlier passage”
Quote in the paperSubstantial claim - Findingown data
Extensive heterogeneity in amplification and deletion profiles on a per-locus basis was uncovered.
“uncovered extensive heterogeneity in amplification and deletion profiles on a per-locus basis (Supplementary Fig. 4).”
Quote in the paperSubstantial claim - Findingown data
Transitioning from 2D to 3D spheroid growth models produces transcriptomic shifts.
“transcriptomic shifts in transitioning from 2D to 3D spheroid growth models”
Quote in the paperSubstantial claim - Findingown data
Pancreatic cell lines-neoplastic and non-neoplastic-are composed of complex sub-clonal heterogeneity at single cell resolution.
“We demonstrate that pancreatic cell lines—neoplastic and non-neoplastic—are composed of complex sub-clonal heterogeneity at single cell resolution”
Quote in the paperSubstantial claim
- Findingown data
BRCA1 stood out as a candidate gene within the amplified 17q locus.
“we interrogated genes contained within the amplified 17q locus (Fig. 2c), and BRCA1, among others, stood out as a candidate gene.”
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10x Cell Ranger DNA software underestimated scCNV event calls, likely due to low sequencing coverage.
“We found 10x Cell Ranger DNA software had underestimated scCNV event calls, likely due to low sequencing coverage susceptible to this data type.”
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PDAC cell lines and patient-derived organoids that are assumed monoclonal contain inherent genomic and transcriptomic heterogeneity.
“Here we apply single-cell sequencing technologies to reveal inherent heterogeneity in assumptively monoclonal pancreatic cancer (PDAC) cell lines and patient-derived organoids (PDOs).”
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Previously described hallmark genomic events characteristic of PDAC lesions were observed in pseudo-bulk summary, in some cases only in a subset of genomic subclones for each line.
“In this “pseudo-bulk” summary, previously described hallmark genomic events characteristic of PDAC lesions1–6 were readily observed, albeit in some cases only in a subset of genomic subclones for each line.”
Quote in the paperSubstantial claim0 of 6 sources checked- cites [1] McDonald, O. G. et al. Epigenomic reprogramming during pancreatic cancer progression links anabolic glucose metabolism to distant metastasis. Nat. Genet. 49, 367–376 (2017). source
Not checked in the free run.
- cites [2] Cancer Genome Atlas Research Network. Integrated genomic characterization of pancreatic ductal adenocarcinoma. Cancer Cell 32, 185–203.e113 (2017). source
Not checked in the free run.
- cites [3] Harada, T. et al. Genome-wide DNA copy number analysis in pancreatic cancer using high-density single nucleotide polymorphism arrays. Oncogene 27, 1951–1960 (2008). source
Not checked in the free run.
- cites [4] Ruggeri, B. et al. Human pancreatic carcinomas and cell lines reveal frequent and multiple alterations in the p53 and Rb-1 tumor-suppressor genes. Oncogene 7, 1503–1511 (1992).
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- cites [5] Liu, Y. et al. Multi-omic measurements of heterogeneity in HeLa cells across laboratories. Nat. Biotechnol. 37, 314–322 (2019). source
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- cites [6] Ben-David, U. et al. Genetic and transcriptional evolution alters cancer cell line drug response. Nature 560, 325–330 (2018). source
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- Findingown data
All HPDE subclones harbor an amplification event at chromosome 20q, bookending the AURKA gene locus.
“Notably, all HPDE subclones harbor an amplification event (CN > 10 in a minor fraction of subclones) at chromosome 20q (Fig. 2d), bookending the AURKA gene locus within the most common region of overlap.”
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A number of BxPC3 clones harbored amplifications at BRAF locus.
“Of interest, a number of BxPC3 clones harbored amplifications at the BRAF locus (Supplementary Fig. 4b).”
Quote in the paperNot a substantial claim - Findingown data
Monolayer PDAC cell lines display a high degree of genomic and transcriptomic polyclonality.
“Our findings reveal a high degree of both genomic and transcriptomic polyclonality in monolayer PDAC cell lines”
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Cell lines from differing culture conditions or distinct laboratories were still more transcriptionally similar to each other than to other cell lines.
“We observed that cell lines that had undergone differing culture conditions (Panc1 2D, Panc1 3D) or were from distinct laboratories of origin (MiaPaca2-A, B, and C) were still more transcriptionally similar to each other than to the other cell lines (Fig. 1a).”
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HPDE cells retain a subclonal architecture akin to a neoplastic genotype in some clones.
“On scCNV profiling, we find that HPDE cells retain a subclonal architecture akin to a neoplastic genotype in some clones (Fig. 1c).”
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Amplifications in chromosomes 1,2,3,5,7,8,11,14,17 and losses at chromosomes 3 (HPDE), 9 (BxPC3, MP2-B, MP2-C, HPDE), and 13 (HPAF-II) were distinguishable.
“Specifically, amplifications in regions of chromosomes 1,2,3,5,7,8,11,14, and 17, and losses at regions of chromosomes 3 (HPDE), 9 (BxPC3, MP2-B, MP2-C, HPDE), and 13 (HPAF-II) were distinguishable.”
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There is a discernible amplification event at chromosome 17q in HPNE.
“While we do not observe amplifications or deletions of most of the HPNE genome, there is a discernible amplification event at chromosome 17q.”
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scCNV analysis demonstrated subclonal heterogeneity within each pancreatic cell line, with divergent genome-wide copy number alterations in subsets of each parental entity.
“The scCNV analysis demonstrated subclonal heterogeneity within each of the pancreatic cell lines, with various divergent genome-wide copy number alterations identified within subsets of each parental entity (Fig. 1c, d, Supplementary Fig. 2).”
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At least 20% of HPDE cells express 2-4 fold higher AURKA transcripts compared to HPNE cells.
“at least 20% of cells (presumably representing the subclones with highest levels of genomic amplification) expressing 2-4 fold higher expression of AURKA transcripts compared to HPNE cells (Fig. 2e).”
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HPDE cells had undergone further bi-allelic losses of chromosomal arms 3p, 8p, and 9p.
“This confirmed that HPDE cells had undergone further bi-allelic losses of chromosomal arms 3p, 8p, and 9p”
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PDOs show transcriptomic shifts during ex vivo passage.
“we identify transcriptomic shifts during ex vivo passage”
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HPDE has distinct amplification and deletions at loci linked to key PDAC-progressor genes.
“We also find evidence of distinct amplification and deletions at loci linked to key PDAC-progressor genes (Supplementary Fig. 4b).”
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At least 24% of HPNE cells highly express BRCA1 transcripts relative to HPDE cells.
“we report that at least 24% of HPNE cells in culture highly express BRCA1 transcripts relative to HPDE cells (Fig. 2e).”
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There is marked transcriptomic and epigenetic divergence, incorporating the appearance of distinct therapeutically actionable pathways, when adherent 2D parental Panc1 cells are grown in 3D cultures.
“Additionally, we report a marked transcriptomic and epigenetic divergence (incorporating the appearance of distinct therapeutically actionable pathways) when adherent (2D) parental Panc1 cells are grown in 3D cultures.”
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Cell lines of published epithelial or mesenchymal differentiation state maintained key marker identities.
“We first validated that cell lines of published epithelial or mesenchymal differentiation state maintained key marker identities12 (Fig. 1b).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] Sinha, A. et al. Mesenchymal-like pancreatic cancer cells harbor specific genomic alterations more frequently than their epithelial-like counterparts. Mol. Oncol. 8, 1253–1265 (2014). source
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- Findingown data
scRNA expression data can be mapped to unique genomic clones identified by orthogonally-gathered scCNVseq data of the same PDAC cell lines.
“We map scRNA expression data to unique genomic clones identified by orthogonally-gathered scCNVseq data of these same PDAC cell lines.”
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Panc1-2D and Panc1-3D cultures do not overlap when visualized using UMAP.
“While Panc1-2D and Panc1-3D cultures are overall more similar to each other compared to other cell lines at the transcriptome level (Fig. 1 and Supplementary Fig. 1b), they do not overlap when visualized using UMAP (Fig. 5a, left).”
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MP2-A is entirely represented by the Moffitt "basal-like" subtype (9,768 cells).
“We observed that MP2-A and MP2-C have all (9,768 and 10,886 cells respectively) represented by the Moffitt “basal-like” subtype, while MP2-B has subtype admixture, with 3,456 cells sorting as the “basal-like” subtype and 3,556 cells sorting as “classical” (Supplementary Tables 2, 3).”
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Within spheroid subclusters, there is significant upregulation of the p53 pathway and downregulation of G2M checkpoint and E2F target pathways in one subcluster relative to the other two.
“Meanwhile, we also see strong differences in pathways within spheroid subclusters, with significant upregulation of the p53 pathway and downregulation of G2M checkpoint and E2F target pathways in one subcluster relative to the other two.”
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Such divergence is observed both within and across cultures of the parental cell line.
“In summary, we confirm previous reports that progeny of the apparently identical parental cell line experience substantial genomic and transcriptomic divergence on prolonged ex vivo passaging, that such divergence is observed both within, and across, cultures of the parental cell line, and at least in some instances, the transcriptomic divergence can be ascribed to distinct subclonal genomic Alter”
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MP2-A and MP2-B share an additional region of overlap distinct from MP2-C.
“MP2-A and MP2-B also share an additional region of overlap, but distinct from MP2-C.”
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In MP2-C, a very different pattern of enrichment is observed in both hallmark and oncogenic pathway sets.
“In MP2-C, a very different pattern of enrichment is observed in both hallmark and oncogenic pathway sets.”
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MP2-C subclone 2 (871 cells) is not significantly enriched for any hallmark or oncogenic gene sets.
“Surprisingly, MP2-C subclone 2 (871 cells) is not significantly enriched for any hallmark or oncogenic gene sets (Supplementary Table 1).”
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Using clonealign filtering criteria to scCNV-derived MP2-B cells, two distinct subclones were defined: one with 4 copies of 7p and 2 copies of chr10, versus one with 3 copies for all these arms.
“Using clonealign filtering criteria to scCNV-derived MP2-B cells (Fig. 4a), two distinct subclones were defined: one with 4 copies of chromosome arm 7p and 2 copies of chr10 (p and q), versus one with 3 copies for all of these chromosome arms.”
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MP2-C merged subclones 1 and 3 (1208 cells) are significantly enriched for two hallmark pathways and four oncogenic pathways.
“MP2-C subclones 1 and 3 were merged (due to very similar distribution across RNA transcriptomic clusters) for a total of 1208 cells, the population of which is significantly enriched for two hallmark pathways and four oncogenic pathways (Supplementary Table 1).”
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For MP2-B, the two unique genomic profiles in scCNV data correspond almost perfectly to transcriptional subpopulations in UMAP analysis.
“Notably, we find that for MP2-B, the two unique genomic profiles we see in the scCNV data (Fig. 4a) correspond almost perfectly to transcriptional subpopulations as visualized in our UMAP analysis (Fig. 4b, c).”
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KRT13 is significantly upregulated in subclone 1 of MP2-B in the LEF1 upregulation pathway (padj=4.39e-49).
“Interesting significantly upregulated genes in subclone 1 from these oncogenic pathways include KRT13 and LGALS1 (in the LEF1 upregulation pathway; padj=4.39e-49 and 1.35e-21 respectively).”
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MP2-C cells were sorted to "basal-like" based only on the expression of AREG, GPR87, KRT15, and LEMD1.
“For example, MP2-A cells were sorted as “basal-like” based on the expression of AREG and KRT15 (Supplementary Fig. 7a), while MP2-C cells were sorted to “basal-like” based only on the expression of AREG, GPR87, KRT15, and LEMD1 (Supplementary Fig. 7c).”
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There are zero overlapping gene sets between MP2-B and MP2-C across any subclonal comparison.
“Importantly, there were also zero overlapping gene sets between MP2-B and MP-C, across any subclonal comparison.”
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The percentage of cells expressing KRT13 is significantly different between clone 1 (32%) and clone 2 (3%).
“Although KRT13 is not ubiquitous in clone 1, the difference in percent of cells that express the gene is significant (32% in clone 1 vs. 3% in clone 2).”
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Progeny of the apparently identical parental cell line experience substantial genomic and transcriptomic divergence on prolonged ex vivo passaging.
“In summary, we confirm previous reports that progeny of the apparently identical parental cell line experience substantial genomic and transcriptomic divergence on prolonged ex vivo passaging, that such divergence is observed both within, and across, cultures of the parental cell line, and at least in some instances, the transcriptomic divergence can be ascribed to distinct subclonal genomic Alter”
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MP2-B and MP2-C strains markedly differ in amplification and deletion events corresponding to chromosomal loci implicated in PDAC.
“Further, these strains markedly differ in amplification and deletion events that correspond to chromosomal loci implicated in PDAC.”
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NEAT1 is significantly upregulated in clone 2 of MP2-B in the MTOR pathway (padj=1.20e-9).
“Clone 2 shows significant upregulation of NEAT1 (in the MTOR pathway, padj=1.20e-9).”
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MP2-A cells were sorted as "basal-like" based on the expression of AREG and KRT15.
“For example, MP2-A cells were sorted as “basal-like” based on the expression of AREG and KRT15 (Supplementary Fig. 7a), while MP2-C cells were sorted to “basal-like” based only on the expression of AREG, GPR87, KRT15, and LEMD1 (Supplementary Fig. 7c).”
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These samples were being "forced" into one subtype or the other on the basis of a few genes being present or absent, as opposed to having a robust expression of the majority of genes specified by "basal-like" or "classical" subtypes.
“Upon further investigation, we found that these samples were being “forced” into one subtype or the other on the basis of a few genes being present or absent, as opposed to having a robust expression of the majority of genes specified by “basal-like” or “classical” subtypes.”
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Panc1-2D and Panc1-3D cultures are overall more similar to each other compared to other cell lines at the transcriptome level.
“While Panc1-2D and Panc1-3D cultures are overall more similar to each other compared to other cell lines at the transcriptome level (Fig. 1 and Supplementary Fig. 1b), they do not overlap when visualized using UMAP (Fig. 5a, left).”
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There is evidence for a genetically similar ancestral clone between MP2-B and MP2-C strains, including chromosomes 3q, 5, 7p ubiquitously amplified in one strain versus subclonally amplified in the other.
“We find evidence for a genetically similar ancestral clone between the MP2-B and MP2-C strains, including several examples of chromosomes ubiquitously amplified in one strain versus subclonally amplified in the other (chromosomes 3q, 5, 7p) (Fig. 1d, Supplementary Fig 2c).”
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All three versions of MiaPaca2 carried the same activating KRASG12C mutation.
“we confirmed using ddPCR that all three versions of the cell line carried the same activating KRASG12C mutation (Supplementary Fig 6a–c)”
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LGALS1 is significantly upregulated in subclone 1 of MP2-B in the LEF1 upregulation pathway (padj=1.35e-21).
“Interesting significantly upregulated genes in subclone 1 from these oncogenic pathways include KRT13 and LGALS1 (in the LEF1 upregulation pathway; padj=4.39e-49 and 1.35e-21 respectively).”
Quote in the paperNot a substantial claim - Findingown data
MP2-C is entirely represented by the Moffitt "basal-like" subtype (10,886 cells).
“We observed that MP2-A and MP2-C have all (9,768 and 10,886 cells respectively) represented by the Moffitt “basal-like” subtype, while MP2-B has subtype admixture, with 3,456 cells sorting as the “basal-like” subtype and 3,556 cells sorting as “classical” (Supplementary Tables 2, 3).”
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In MP2-C, correspondence between genomic profiles and transcriptional subpopulations is less obvious than the one-to-one correspondence observed in MP2-B.
“For MP2-C, we also see correspondence between the genomic profiles (Fig. 4d) and the transcriptional subpopulations (Fig. 4e, f), but the correlation is less obvious than the one-to-one correspondence observed in MP2-B.”
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MP2-B "classical-like" cells were classified as such based on only LYZ.
“Similarly, the MP2-B sample, for which we detected genes relevant for both “basal-like” and “classical” subtyping, we found that “classical-like” cells were classified as such based on only LYZ, while “basal-like” cells were classified as such due to expression of AREG, GPR87, KRT15, and KRT7 (Supplementary Fig. 7b).”
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MP2-B "basal-like" cells were classified as such due to expression of AREG, GPR87, KRT15, and KRT7.
“Similarly, the MP2-B sample, for which we detected genes relevant for both “basal-like” and “classical” subtyping, we found that “classical-like” cells were classified as such based on only LYZ, while “basal-like” cells were classified as such due to expression of AREG, GPR87, KRT15, and KRT7 (Supplementary Fig. 7b).”
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MP2-A is enriched in GSEA hallmark pathways related to p53, oxidative phosphorylation, and protein secretion.
“MP2-A is enriched in GSEA hallmark pathways related to p53, oxidative phosphorylation, and protein secretion.”
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Two mutually exclusive subclones were defined for Panc1 based on lower copy number (2 vs. 3) in either 15q (subclone 1) or 14q (subclone 2).
“Applying the same clonealign filtering criteria we used in our approach for MP2 cells, we defined two mutually exclusive subclones based on lower copy number (2 vs. 3) in either 15q (subclone 1) or 14q (subclone 2) for Panc1 (Supplementary Fig. 8a, b).”
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Panc1 spheroids show upregulation of epithelial mesenchymal transition in the largest subcluster relative to the monolayer.
“Panc1 spheroids show upregulation of epithelial mesenchymal transition in the largest subcluster relative to the monolayer.”
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The clone with 3 copies of 7p also had lower copy number for a subset of 12q (2 vs 3).
“Of note, the clone with 3 copies of 7p (instead of 4 copies) also had lower copy number for a subset of 12q (2 vs. 3).”
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Putative target candidate genes affiliated with the enriched motifs are overexpressed in the paired scRNAseq data.
“We then confirmed the overexpression of putative target candidate genes affiliated with the enriched motifs that we had identified in corresponding snATAC-seq datasets in the paired scRNAseq data (Fig. 5f, g).”
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The commonly used contemporaneous "controls" for PDAC cell lines, especially HPDE cells, do not meet either genotypic or transcriptional criteria expected for healthy, non-malignant samples.
“Finally, we report here that the commonly used contemporaneous “controls” for PDAC cell lines, especially HPDE cells, do not meet either genotypic or transcriptional criteria expected for healthy, non-malignant samples.”
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"Major" subclonal genomic events have a significant impact on transcriptomic divergence and clustering, not only within the altered chromosomal loci, but also more broadly in terms of enriched gene sets and pathways.
“As another concordant finding between the two studies, we confirm that “major” subclonal genomic events have a significant impact on transcriptomic divergence and clustering, not only within the altered chromosomal loci, but also more broadly in terms of enriched gene sets and pathways.”
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The enrichment of Fos/Jun motifs results in the transcriptional upregulation of classic effectors in this signaling pathway, such as SMAD3, SMAD4, TGFB1, and DDIT3.
“Conversely, the enrichment of Fos/Jun motifs results in the transcriptional upregulation of classic effectors in this signaling pathway, such as SMAD3, SMAD4, TGFB1, and DDIT3 (Zhang 1998)47.”
Quote in the paperSubstantial claim0 of 2 sources checked - Findingown data
Selection against a basal phenotype in a PDO during ex vivo culture was demonstrated.
“In particular, our demonstration of selection against a basal phenotype in a PDO during ex vivo culture contributes to the growing body of evidence that therapeutic prediction studies germane to the parental tumor are best limited to early passages of derivative PDOs.”
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Transcripts upregulated in cell fate 1 showed enrichment of epithelial-mesenchymal transition, cell growth, reactive oxygen species (ROS) biosynthesis, and axon development.
“Transcripts upregulated in cell fate 1 showed enrichment of epithelial-mesenchymal transition, cell growth, reactive oxygen species (ROS) biosynthesis, and axon development, while transcripts in cell fate 2 were enriched for telomere maintenance, DNA replication, cell cycle, and hypoxia pathways (Fig. 6c).”
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InferCNV revealed a chromosome 16p gain in the later passage PDO.
“To test whether there were genomic alterations accompanying the transcriptomic divergence, we inferred copy number aberrations from the scRNA-seq data using the inferCNV package44, which revealed a chromosome 16p gain in the later passage PDO, and an additional chromosome 19q loss specifically in cell fate 2 (Fig. 6d).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [44] Papa, L. et al. SOD1, an unexpected novel target for cancer therapy. Genes Cancer 5, 15–21 (2014). source
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- Findingown data
In the later passage of the PDO, two transcriptionally distinct clusters had emerged, which respectively formed two separate cell fates on trajectory inference.
“We found that in the later passage of the PDO, two transcriptionally distinct clusters (Fig. 6a) had emerged, which respectively formed two separate cell fates on trajectory inference (Fig. 6b).”
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The molecular identities of PDOs tend to evolve over time, recapitulating what is observed with cell lines.
“As model sophistication increases to more widespread adoption of the PDO format, we also report that, perhaps not unexpectedly, the molecular identities of PDOs tend to evolve over time, recapitulating what is observed with cell lines.”
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Transcripts in cell fate 2 were enriched for telomere maintenance, DNA replication, cell cycle, and hypoxia pathways.
“Transcripts upregulated in cell fate 1 showed enrichment of epithelial-mesenchymal transition, cell growth, reactive oxygen species (ROS) biosynthesis, and axon development, while transcripts in cell fate 2 were enriched for telomere maintenance, DNA replication, cell cycle, and hypoxia pathways (Fig. 6c).”
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Further motif enrichment analysis within each population shows unique subcluster motif profiles.
“Further motif enrichment analysis within each population shows unique subcluster motif profiles (Supplementary Fig. 9d, e, g, h).”
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An additional chromosome 19q loss was specifically in cell fate 2.
“To test whether there were genomic alterations accompanying the transcriptomic divergence, we inferred copy number aberrations from the scRNA-seq data using the inferCNV package44, which revealed a chromosome 16p gain in the later passage PDO, and an additional chromosome 19q loss specifically in cell fate 2 (Fig. 6d).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [44] Papa, L. et al. SOD1, an unexpected novel target for cancer therapy. Genes Cancer 5, 15–21 (2014). source
Not checked in the free run.
- Findingown data
Sp/Klf-associated motifs are enriched in the spheroid model.
“Notably, we observed enrichment of Sp/Klf-associated motifs in the spheroid model (Fig. 5d), and Fos/Jun motifs enriched in the 2D snATAC-seq data (Fig. 5e).”
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Nuclei are in at least two different chromatin states within each growth condition.
“As a first measure of epigenetic heterogeneity after conducting a quality control analysis on the sequenced nuclei (Supplementary Fig. 9a, b), we find the nuclei in at least two different chromatin states within each growth condition (Supplementary Fig. 9c, f).”
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Transcripts that define the "classical" subtype are expressed almost exclusively by the later passage PDO.
“This differs from the expression of transcripts that define the “classical” subtype, which are expressed almost exclusively by the later passage PDO (Fig. 6f).”
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Fos/Jun motifs are enriched in the 2D snATAC-seq data.
“Notably, we observed enrichment of Sp/Klf-associated motifs in the spheroid model (Fig. 5d), and Fos/Jun motifs enriched in the 2D snATAC-seq data (Fig. 5e).”
Quote in the paperSubstantial claim - Findingown data
The regulatory consequences of Sp/Klf motif enrichment are in genes associated with modulation of reactive oxygen species and metabolism such as SOD1, ID1, and NDUFV2.
“In doing so, we find that the regulatory consequences of Sp/Klf motif enrichment are in genes associated with modulation of reactive oxygen species and metabolism such as SOD144, ID145, and NDUFV246.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [44] Papa, L. et al. SOD1, an unexpected novel target for cancer therapy. Genes Cancer 5, 15–21 (2014). source
Not checked in the free run.
- cites [45] Huang, Y. H. et al. ID1 mediates escape from TGFbeta tumor suppression in pancreatic cancer. Cancer Disco. 10, 142–157 (2020). source
Not checked in the free run.
- cites [46] Masoud, R. et al. Targeting mitochondrial complex I overcomes chemoresistance in high OXPHOS pancreatic cancer. Cell Rep. Med. 1, 100143 (2020). source
Not checked in the free run.
- Study design and conductown data
FISH confirmed AURKA amplification in HPDE, indicating high AURKA copy numbers in scCNV clones were not technical artifacts.
“FISH confirmed AURKA amplification in HPDE (Supplementary Fig. 5), indicating that high AURKA copy numbers in scCNV clones were not a function of technical artifacts in this dataset.”
Quote in the paperSubstantial claim - Premisecitation
Microsatellite assays typically used for confirmation of cell identity provide minimal insights into genomic and transcriptomic variabilities that might arise when the apparently identical line is propagated at different laboratories or in disparate culture conditions.
“the microsatellite assays typically used for confirmation of cell identity provide minimal insights into genomic and transcriptomic variabilities that might arise when the apparently identical line is propagated at different laboratories5 or in disparate culture conditions”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5] Liu, Y. et al. Multi-omic measurements of heterogeneity in HeLa cells across laboratories. Nat. Biotechnol. 37, 314–322 (2019). source
Not checked in the free run.
- Interpretationown data
The extensive CD44 expression underscores enrichment of putative stem-like cells in culture.
“underscoring the enrichment of putative stem-like cells in culture.”
Quote in the paperNot a substantial claim - Interpretationown data
An identical parental line maintained under comparable passaging conditions in different laboratories reflects custodial variability that impacts its translational value as a controlled model.
“An identical parental line, when maintained under comparable passaging conditions in different laboratories (MiaPaca2), reflects a degree of custodial variability that impacts the translational value of that cell line as a controlled model.”
Quote in the paperSubstantial claim - Interpretationown data
HPDE cells are questionable as a control line in research studies.
“questioning their use as a “control” line in research studies.”
Quote in the paperSubstantial claim - Interpretationown data
The complex sub-clonal heterogeneity of pancreatic cell lines is unlikely to be detectable by conventional bulk profiling.
“which is unlikely to be detectable by conventional “bulk” profiling”
Quote in the paperSubstantial claim - Premisecitation
There is a staggering level of pre-existing intra-culture heterogeneity within cancer cell lines.
“suggesting a staggering level of pre-existing intra-culture heterogeneity within cancer cell lines.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ben-David et al.6 Ben-David, U. et al. Genetic and transcriptional evolution alters cancer cell line drug response. Nature 560, 325–330 (2018). source
Not checked in the free run.
- Study design and conductown data
The findings were confirmed using a variety of independent assays, including whole exome sequencing, scCNVseq, snATAC-seq, FISH, and scRNAseq.
“We confirm these findings using a variety of independent assays, including but not limited to whole exome sequencing, single-cell copy number variation sequencing (scCNVseq), single-nuclei assay for transposase-accessible chromatin with sequencing, fluorescence in-situ hybridization, and single-cell RNA sequencing (scRNAseq).”
Quote in the paperSubstantial claim - Study design and conductown data
The scCNV finding of HPNE homogeneity is consistent with WES and pseudo-bulk profiles.
“This scCNV finding is consistent with WES analysis of HPNE (Fig. 2a, top), which shows a “flat” bulk segmentation profile, and is confirmed on the “pseudo-bulk” profile generated from scCNV data (Fig. 2a, bottom).”
Quote in the paperNot a substantial claim - Interpretationown data
Custodial variation is induced by growing apparently identical cell lines in different laboratories.
“custodial variation induced by growing apparently identical cell lines in different laboratories”
Quote in the paperSubstantial claim - Interpretationown data
Widely available immortalized, non-transformed pancreatic lines are not valid as contemporaneous control lines in experiments.
“Our findings also call into question the validity of widely available immortalized, non-transformed pancreatic lines as contemporaneous “control” lines in experiments.”
Quote in the paperSubstantial claim - Interpretationown data
Transcriptomic shifts during ex vivo passage of PDOs might hamper their predictive abilities over time.
“that might hamper their predictive abilities over time”
Quote in the paperSubstantial claim - Study design and conductown data
The overarching structure of cell line clades remains consistent between diffusion mapping and Pearson correlation analysis.
“we report that the overarching structure of how cell line clades are organized remains consistent with what was determined by diffusion mapping.”
Quote in the paperNot a substantial claim - Interpretationreasoning
It is unlikely that the scant gene representation is due to dropout rates or data sparsity.
“Given the thousands of cells present and the depth of sequencing on these samples, it is unlikely that this scant gene representation is due to dropout rates or data sparsity, which could result in skewed scRNA data.”
Quote in the paperSubstantial claim - Study design and conductown data
InferCNV applied to scRNAseq MP2 data orthogonally validated the ancestral clone finding.
“We were also able to orthogonally validate this when we applied InferCNV (Tickle 2019)27 to scRNAseq MP2 data (Fig. 3d).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tickle 2019)27
Not checked in the free run.
- Interpretationown data
At least in some instances, the transcriptomic divergence can be ascribed to distinct subclonal genomic alterations.
“In summary, we confirm previous reports that progeny of the apparently identical parental cell line experience substantial genomic and transcriptomic divergence on prolonged ex vivo passaging, that such divergence is observed both within, and across, cultures of the parental cell line, and at least in some instances, the transcriptomic divergence can be ascribed to distinct subclonal genomic Alter”
Quote in the paperSubstantial claim - Interpretationown data
PDAC cell lines are sub-optimal models for application of tissue-based classification systems like Moffitt, largely because they might lack expression of substantial numbers of transcripts required for meaningful classification.
“Rather, our data indicates that PDAC cell lines are sub-optimal models for application of tissue-based classification systems like Moffitt, largely because they might lack expression of substantial numbers of transcripts required for meaningful classification.”
Quote in the paperSubstantial claim- Rests on an assumption: It is not well established whether cell lines can be reliably classified into Moffitt subtypes as freshly dissociated tumor tissue or PDO models, nor whether subtype admixture would be observable when single-cell methods are applied to subclonal derivatives of parental cell lines.
- Study design and conductnone given
Clonealign's inherent design filtered out a large number of cells sequenced by scCNVseq.
“An important caveat of this method is that clonealign’s inherent design filtered out a large number of cells sequenced by scCNVseq.”
Quote in the paperNot a substantial claim - Interpretationown data
These findings demonstrate heterogeneity at single cell level across cell lines assumed to be derived from identical parental origin.
“These initial findings demonstrate the heterogeneity, when viewed at the single cell level, across cell lines assumed to be derived from the identical parental origin.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is not entirely unexpected that different genes promoting cancer growth are seen in each MP2-B subclone.
“Therefore it is not entirely unexpected that we see different genes that promote cancer growth in each subclone.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The resulting differences in transcription factor activity and downstream pathways may have significant implications for the way these models are used interchangeably for in vitro experimentation.
“In summary, our results suggest that the differences observed in scRNA-seq profiles between spheroid and monolayer growth systems root from a divergence in their underlying epigenetic landscapes, and the resulting differences in transcription factor activity and downstream pathways may have significant implications for the way these models are used interchangeably for in vitro experimentation.”
Quote in the paperNot a substantial claim - Interpretationown data
The differences observed in scRNA-seq profiles between spheroid and monolayer growth systems root from a divergence in their underlying epigenetic landscapes.
“In summary, our results suggest that the differences observed in scRNA-seq profiles between spheroid and monolayer growth systems root from a divergence in their underlying epigenetic landscapes, and the resulting differences in transcription factor activity and downstream pathways may have significant implications for the way these models are used interchangeably for in vitro experimentation.”
Quote in the paperSubstantial claim - Interpretationreasoning
The low expression, or downregulation, of these genes in the monolayer culture suggests that in the process of epigenetic reprogramming, Panc1 spheroids also undergo a metabolic reprogramming by upregulating oxidative phosphorylation or glycolysis.
“The low expression, or, in some cases, downregulation, of these genes in the monolayer culture suggest that in the process of epigenetic reprogramming, Panc1 spheroids also undergo a metabolic reprogramming by upregulating oxidative phosphorylation or glycolysis.”
Quote in the paperSubstantial claim - Interpretationreasoning
Despite the common parental scCNV profiles, the transcriptomic divergence between the two growth conditions appears to be driven almost entirely by non-genomic events, such as epigenetic alterations.
“In other words, despite the common parental scCNV profiles, the transcriptomic divergence between the two growth conditions appears to be driven almost entirely by non-genomic events, such as epigenetic alterations.”
Quote in the paperSubstantial claim- Rests on an assumption: Within single-cell analytics, there is scant data on the extent of transcriptional adaptations that occur when modifying conventional monolayer culture to a 3D spheroid model.
- Interpretationown data
Acquisition of transcription factor programs in 3D culture could confound the interrogation of therapeutic dependencies when compared to the identical cell line grown in 2D condition.
“In particular, we demonstrate acquisition of transcription factor programs in 3D culture that could confound the interrogation of therapeutic dependencies when compared to the identical cell line grown in 2D condition.”
Quote in the paperSubstantial claim - Premisecitation
Later passages of PDOs in culture undergo transcriptional reprogramming towards a "classical" phenotype.
“We thus observe a subtype admixture over time, which is consistent with findings by Raghavan et al.8, demonstrating that later passages of PDOs in culture undergo transcriptional reprogramming towards a “classical” phenotype, and reiterating the inherent plasticity of cellular subtypes.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Raghavan et al.8 Raghavan, S. et al. Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer. Cell 184, 6119–6137 e6126 (2021). source
Not checked in the free run.
- cites [8] Raghavan, S. et al. Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer. Cell 184, 6119–6137 e6126 (2021). source
Not checked in the free run.
- Interpretationreasoning
The contrasting expression and chromatin profiles between these models could have implications in the results of studies concerning metabolism in PDAC.
“The contrasting expression and chromatin profiles between these models could have implications in the results of studies concerning metabolism in PDAC.”
Quote in the paperNot a substantial claim
- May combine two claims. 45
- Classified as probably not a substantial claim. 50
May combine two claims.
Findingown dataAll three culture variations of MiaPaCa2 cell lines fall into a common clade, while Panc1 cells branch into their own clade.
“we observed that all three culture variations of MiaPaCa2 cell lines fall into a common clade (MP2-A, MP2-B, MP2-C), while Panc1 cells, irrespective of growth as monolayer or in 3D, branch into their own clade (Supplementary Fig. 1a, b).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHPNE cells are non-ductal in derivation, with lack of epithelial markers and widespread expression of NES, NOTCH2, and CD44.
“In contrast to HPDE, HPNE cells are non-ductal in derivation (as demonstrated by lack of epithelial markers, and widespread expression of progenitor cell transcripts NES, NOTCH2 and CD44 on scRNA-seq (Fig. 1b).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHigh expression of EPCAM and KRT8 was observed in HPAF-II and BxPC3, and VIM was essentially restricted to Panc1 and MiaPaca2.
“we observed high expression of the epithelial transcripts EPCAM and KRT8 in the previously described “epithelial” lines, HPAF-II and BxPC3, and conversely, the prototypal mesenchymal transcript vimentin (VIM) was essentially restricted to the previously described “mesenchymal” lines Panc1 and MiaPaca2.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataHPNE, Panc1, and MiaPaca2 demonstrated extensive CD44 expression.
“Notably, HPNE cells, along with Panc1 and MiaPaca2, also demonstrated extensive CD44 expression”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataHPDE cells harbor substantial genomic alterations and a transcriptome that essentially resembles cancer cells.
“Unexpectedly, HPDE cells harbor substantial genomic alterations and a transcriptome that essentially resembles cancer cells”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHPNE cells have not evolved a divergent subcellular taxonomy but are homogenous in copy number profiles broadly and at key oncogenic loci.
“Unlike HPDE cells, scCNV sequencing demonstrates that HPNE cells have not evolved a divergent subcellular taxonomy, but rather are homogenous in their copy number profiles when viewed both broadly and at key oncogenic loci (Fig. 2a, Supplementary Fig. 4a).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHPNE cells retain NES and NOTCH2 markers.
“HPNE cells, which were originally derived from a nestin (NES) and NOTCH2 expressing pancreatic progenitor cellular population (Lee 2005)13, were confirmed to retain both markers (Fig. 1b).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lee 2005)13 source
Not checked in the free run.
May combine two claims.
Findingown dataBxPC3 harbors copy number >=4 in nearly all clones at TERT locus, with over 2/3 of cells having TERT copy number more than 1 above mean ploidy.
“the BxPC3 cell line, which is historically used as a KRAS wild type PDAC cell line, harbors copy number > = 4 in nearly all clones at the TERT gene locus, wherein over 2/3 of cells have a copy number for TERT more than 1 above the mean ploidy (Supplementary Fig. 4b).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHPDE is most transcriptionally similar to HPAF-II and on a distinct clade from HPNE.
“our scRNAseq interrogation instead shows HPDE is most transcriptionally similar to HPAF-II, and on a distinct clade from the second commonly used “control” line, HPNE (Supplementary Fig. 1b).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHPNE has a benign CNV profile at PDAC loci, with little heterogeneity in copy number across clones.
“We report that HPNE has a benign CNV profile at these loci, with little heterogeneity in copy number across clones of this culture (Supplementary Fig. 4a).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataIn Panc1-3D scRNA dataset, subclone 1 was represented by 904 cells and subclone 2 by 223 cells.
“When we mapped these clonealign-defined unique genomic subclones to specific transcriptional programs across the two datasets, subclone 1 was comprised of 3,251 cells and subclone 2 of 404 cells in Panc1 2D scRNA-seq data (Supplementary Fig. 8c), while in the Panc1-3D scRNA dataset, subclone 1 was represented by 904 cells, and subclone 2 by 223 cells (Supplementary Fig. 8d).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThere was little to no overlap in enriched hallmark pathways (sharing only late estrogen response and cholesterol homeostasis pathways) or oncogenic gene sets (no common pathways) for either of the two subclones between the two growth conditions.
“There was little to no overlap in the enriched hallmark pathways (sharing only late estrogen response and cholesterol homeostasis pathways) or oncogenic gene sets (no common pathways) for either of the two subclones between the two growth conditions (Supplementary Table 1).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThis kind of heterogeneity was not seen within the 2D model, with no significant difference in pathways found between the two subclusters.
“This kind of heterogeneity was not seen within the 2D model, with no significant difference in pathways found between the two subclusters.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMP2-B subclone 1 (1096 cells) is characterized by five hallmark pathways, while subclone 2 (813 cells) is defined by six completely distinct gene sets.
“Subclone 1 of MP2-B (1096 cells) is characterized by five hallmark pathways, while MP2-B subclone 2 (813 cells) is defined by six, completely distinct gene sets (Supplementary Table 1).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMP2-B subclone 1 is enriched for oncogenic pathways LEF1 upregulation, P53, and Cyclin D1, whereas subclone 2 is enriched for MTOR upregulation, EIF4E, RAF, and NEF2L2.
“We found that subclone 1 is enriched for oncogenic pathways LEF1 upregulation, P53, and Cyclin D1, whereas subclone 2 is enriched for MTOR upregulation, EIF4E, RAF, and NEF2L2 (Supplementary Table 1).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMiaPaca2 lines segregate mostly independently in scRNA-seq, with only a single small cluster where all three overlap.
“we find that the MiaPaca2 lines segregate mostly independently, with only a single small cluster where all three overlap (Fig. 3a, b).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMP2-B downregulated GSEA hallmark interferon gamma response, and MP2-C has no statistically significant enrichment in hallmark pathways.
“In contrast, MP2-B downregulated GSEA hallmark interferon gamma response, and MP2-C has no statistically significant enrichment in hallmark pathways based on scRNA-seq GSEA analysis (Fig. 3c).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataUpon growth in 3D, Panc1 cells exhibit demonstrable transcriptomic divergence, as well as increased transcriptional diversity, compared to matched 2D culture grown from the same parental vial, upon scRNA-seq analysis.
“We find here that upon growth in 3D, Panc1 cells exhibit demonstrable transcriptomic divergence, as well as increased transcriptional diversity, compared to matched 2D culture grown from the same parental vial, upon scRNA-seq analysis.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere is phenotypic divergence between assumptively identical MiaPaca2 cultures that appears driven by changes at the RNA level.
“We report phenotypic divergence between these assumptively “identical” cultures that appears to be driven by changes at the RNA level.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn Panc1 2D scRNA-seq data, subclone 1 comprised 3,251 cells and subclone 2 comprised 404 cells.
“When we mapped these clonealign-defined unique genomic subclones to specific transcriptional programs across the two datasets, subclone 1 was comprised of 3,251 cells and subclone 2 of 404 cells in Panc1 2D scRNA-seq data (Supplementary Fig. 8c), while in the Panc1-3D scRNA dataset, subclone 1 was represented by 904 cells, and subclone 2 by 223 cells (Supplementary Fig. 8d).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn MP2-C, nearly all cells have copy number >=4 for BLC6, PIK3CA, and BRAF; MP2-B has lower copy number for these genes in a large fraction of cells despite similar overall ploidy.
“For example, in MP2-C we find that nearly all cells have copy number > = 4 for oncogenes BLC6, PIK3CA, and BRAF. In contrast, MP2-B has lower copy number for these genes in a large fraction of cells, despite similar overall ploidy levels (Supplementary Fig. 4b).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMP2-B has subtype admixture, with 3,456 cells sorting as "basal-like" and 3,556 cells sorting as "classical".
“We observed that MP2-A and MP2-C have all (9,768 and 10,886 cells respectively) represented by the Moffitt “basal-like” subtype, while MP2-B has subtype admixture, with 3,456 cells sorting as the “basal-like” subtype and 3,556 cells sorting as “classical” (Supplementary Tables 2, 3).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataPer sample, the chromosome arms that showed variation in a large percentage of cells were: MP2-B - chr7p, chr10p, chr10q, chr12q; MP2-C - chr5p, chr5q, chr10p, chr10q, chr14q; Panc1-2D - chr14q, chr15q.
“Per sample, the chromosome arms that showed variation in a large percentage of cells were: MP2-B – chr7p, chr10p, chr10q, chr12q; MP2-C - chr5p, chr5q, chr10p, chr10q, chr14q; Panc1-2D – chr14q, chr15q.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn Panc1-2D, chr15q mappable regions starting at coordinates <40 Mb or >80 Mb showed a different profile from the other mappable regions.
“In Panc1-2D, chr15q mappable regions starting at coordinates <40 Mb or >80 Mb, which showed a different profile from the other mappable regions, were also excluded.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataConsiderable subclonal heterogeneity was identified using single cell analysis in HPDE and HPNE, with an "occult polyclonality" that mirrors PDAC cell lines.
“We identify considerable subclonal heterogeneity using single cell analysis (with an “occult polyclonality” that mirrors PDAC cell lines), and “major” chromosomal copy number events in HPDE and HPNE that translate to transcriptional upregulation of AURKA and BRCA1, respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data"Major" chromosomal copy number events in HPDE and HPNE translate to transcriptional upregulation of AURKA and BRCA1, respectively.
“We identify considerable subclonal heterogeneity using single cell analysis (with an “occult polyclonality” that mirrors PDAC cell lines), and “major” chromosomal copy number events in HPDE and HPNE that translate to transcriptional upregulation of AURKA and BRCA1, respectively.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFor MP2-C, there were very low numbers of cells with high confidence clone calls.
“For MP2-C this was lowered to 50%, due to very low numbers of cells with high confidence clone calls found in this sample.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn MP2-B, the remaining regions on chr12q outside 93.5 to 126.3 Mb had consistent copy number across cells.
“In MP2-B, only mappable regions from 93.5 to 126.3 Mb on chr12q were considered, as the remaining regions had consistent copy number across cells.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCulturing a PDAC cell line typically grown in adherent monolayers as a spheroid model alters the underlying chromatin architecture and induces a more diverse transcriptional repertoire.
“We further show that culturing a PDAC cell line typically grown in adherent monolayers as a spheroid model alters the underlying chromatin architecture and induces a more diverse transcriptional repertoire.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThree independent strains of the same PDAC parental cell line (MiaPaCa2) demonstrably deviate from one another on single cell analysis, both in terms of underlying transcriptional profiles and the outgrowth of unique genomic subclones.
“In line with this observation, we report that three independent strains of the same PDAC parental cell line (MiaPaCa2) demonstrably deviate from one another on single cell analysis, both in terms of underlying transcriptional profiles and the outgrowth of unique genomic subclones.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe earlier passage PDO has demonstrable expression of "basal-like" transcripts but these did not overlap with the "basal-like" transcripts expressed by the later passage PDO.
“The earlier passage PDO has demonstrable expression of “basal-like” transcripts (Fig. 6e) but these did not overlap with the “basal-like” transcripts expressed by the later passage PDO (Fig. 6e).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFor MP2-C, cells called as clone 1 or clone 3 showed very similar expression.
“This was because cells called as either of these clones showed very similar expression.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataBxPC3 TERT copy number was confirmed via FISH.
“BxPC3 TERT copy number was also confirmed via fluorescence in situ hybridization (FISH)”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationEarly passages of PDAC PDOs maintain genomic and transcriptomic features of the tumor of origin and harbor a gene signature of response to commonly used cytotoxic agents, enabling therapeutic prediction.
“Encouragingly, early passages of PDAC PDOs maintain genomic and transcriptomic features of the tumor of origin, and harbor a gene signature of response to commonly used cytotoxic agents, enabling therapeutic prediction7,8.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [7] Aung, K. L. et al. Genomics-driven precision medicine for advanced pancreatic cancer: early results from the COMPASS trial. Clin. Cancer Res 24, 1344–1354 (2018). source
Not checked in the free run.
- cites [8] Raghavan, S. et al. Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer. Cell 184, 6119–6137 e6126 (2021). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAurora kinase A is commonly overexpressed in pancreatic cancers and contributes to chromosomal instability and tumor progression.
“The encoded protein Aurora kinase A is commonly overexpressed in pancreatic cancers, and contributes to both chromosomal instability through destabilization of the mitotic spindle assembly and towards tumor progression via phosphorylation of substrate proteins19,20.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [19] Furukawa, T. Impacts of activation of the mitogen-activated protein kinase pathway in pancreatic cancer. Front. Oncol. 5 (2015). source
Not checked in the free run.
- cites [20] Li, D. et al. Overexpression of oncogenic STK15/BTAK/Aurora A kinase in human pancreatic cancer. Clin. Cancer Res 9, 991–997 (2003).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationKRAS wild type PDAC, including BxPC3, acquire in-frame deletions of BRAF that result in constitutive activation of the kinase domain.
“It is known that in contrast to melanoma, cases of KRAS wild type PDAC, including the BxPC3 cell line itself, acquire in-frame deletions of BRAF that result in constitutive activation of the kinase domain (Chen 2016)15.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Chen 2016)15 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationBen-David et al. identified widespread genomic and transcriptomic variabilities in single cell clones isolated and expanded from the same parental cancer cells, which translated into differences in drug responsiveness in vitro.
“A recent seminal publication by Ben-David et al.6 identified widespread genomic and transcriptomic variabilities in single cell clones isolated and expanded from the same parental cancer cells, which further translated into differences in drug responsiveness in vitro”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ben-David et al.6 Ben-David, U. et al. Genetic and transcriptional evolution alters cancer cell line drug response. Nature 560, 325–330 (2018). source
Not checked in the free run.
May combine two claims.
Interpretationown dataHPNE lacks a ductal transcriptional profile and is enriched in markers associated with progenitor populations of uncertain histogenesis, which need to be factored in the use of these cells as an appropriate control for PDAC cells.
“Ultimately, while HPNE does not exhibit the subclonal heterogeneity observed with HPDE, its lack of a ductal transcriptional profile and enrichment in markers associated with progenitor populations of uncertain histogenesis need to be factored in the use of these cells as an appropriate control for PDAC cells.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPrevious work challenged the assumption that cell lines are clonal, stable entities and explored phenotypic variability between HeLa and MCF7 cell lines via cross-laboratory multi-omic comparisons.
“Previous work challenged the long-maintained assumption in cancer biology research that cell lines are clonal, stable entities, and explored the existence of phenotypic variability between widely used HeLa5 and MCF76 cell lines via cross-laboratory multi-omic comparisons.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites HeLa5 and MCF76
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll samples were submitted for fingerprinting prior to sequencing to confirm cell line identity.
“All samples were submitted for fingerprinting via MD Anderson Core Facilities prior to sequencing to confirm cell line identity.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationBrca1 is a component of homologous recombination repair machinery, and BRCA1 is uncommonly mutated in PDAC (~1%), typically germline, and associated with HRR defective cancers.
“The encoded Brca1 protein is a component of the homologous recombination repair (HRR) machinery, and BRCA1 is uncommonly mutated in PDAC (~1%), typically in the germline, and associated with HRR defective cancers22,23.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [22] Yoshida, K. & Miki, Y. Role of BRCA1 and BRCA2 as regulators of DNA repair, transcription, and cell cycle in response to DNA damage. Cancer Sci. 95, 866–871 (2004). source
Not checked in the free run.
- cites [23] Nguyen, L. et al. Pan-cancer landscape of homologous recombination deficiency. Nat. Commun. 11, 5584 (2020). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation2D monolayers might lack critical features associated with in vivo tumor progression, such as hypoxia.
“Additional work has also shown that 2D monolayers might lack critical features associated with in vivo tumor progression, such as hypoxia41,42.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [41] Loessner, D. et al. Bioengineered 3D platform to explore cell-ECM interactions and drug resistance of epithelial ovarian cancer cells. Biomaterials 31, 8494–8506 (2010). source
Not checked in the free run.
- cites [42] Riedl, A. et al. Comparison of cancer cells in 2D vs 3D culture reveals differences in AKT-mTOR-S6K signaling and drug responses. J. Cell Sci. 130, 203–218 (2017).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationKnockdown of LGALS1 in vitro reduced cell migration and invasion capabilities in pancreatic cancer associated cells.
“knockdown of LGALS1 in vitro reduced cell migration and invasion capabilities in pancreatic cancer associated cells34.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] Chen, R. et al. Proteins associated with pancreatic cancer survival in patients with resectable pancreatic ductal adenocarcinoma. Lab Invest 95, 43–55 (2015). source
Not checked in the free run.
May combine two claims.
Interpretationown dataBoth MP2-B subclones were found at relatively high frequency, suggesting neither has a clear fitness advantage over the other.
“As both subclones were found at relatively high frequency (Fig. 4e), it would suggest that neither has a clear fitness advantage over the other.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationSubsequent analysis revealed extensive inter-laboratory heterogeneity with respect to phenotype, copy number variations, and drug response experiments.
“Subsequent analysis revealed extensive inter-laboratory heterogeneity with respect to phenotype, copy number variations, and even drug response experiments”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningThis finding may impact how prevalent PDAC classification schemes are applied to monolayer culture models and any subtype-based therapeutic outcome predictions derived from these that are then extrapolated to patients.
“This finding may impact how prevalent PDAC classification schemes are applied to monolayer culture models and any subtype-based therapeutic outcome predictions derived from these that are then extrapolated to patients.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrimary tumors have been shown to undergo subtype switching in response to microenvironmental cues.
“primary tumors have been shown to undergo subtype switching in response to microenvironmental cues (Torres 2018)37.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLGALS1 overexpression has been negatively associated with survival in PDAC patients.
“LGALS1 overexpression has also been negatively associated with survival in PDAC patients33”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] Chen, R. et al. Stromal galectin-1 expression is associated with long-term survival in resectable pancreatic ductal adenocarcinoma. Cancer Biol. Ther. 13, 899–907 (2012). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationKRT13 expression has previously been shown to predict worse overall survival in pancreatic cancer.
“This gene has previously been shown to predict worse overall survival in pancreatic cancer32.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Birnbaum, D. J. et al. A 25-gene classifier predicts overall survival in resectable pancreatic cancer. BMC Med. 15, 170 (2017). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPDAC transcriptional subtypes are known to associate with specific microenvironmental niches.
“PDAC transcriptional subtypes are known to associate with specific microenvironmental niches (Raghavan 2021)8”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationCampbell et al. developed the clonealign algorithm, which established a framework for mapping genomic-transcriptome associations in single-cell datasets derived from the same parental culture but generated using individual assays.
“Building on this finding, Campbell et al. developed the clonealign algorithm31, which established a framework for how genomic-transcriptome associations may be mapped in single-cell datasets derived from the same parental culture, but generated using individual assays.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Campbell et al.31 Campbell, K. R. et al. clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers. Genome Biol. 20, 54 (2019). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationEx vivo 3D models of tumor growth are being increasingly adopted, as a number of comparative studies between 3D spheroids and 2D monolayer cultures have shown that 3D culture more faithfully recapitulates in vivo biology.
“Ex vivo 3D models of tumor growth are being increasingly adopted, as a number of comparative studies between 3D spheroids and 2D monolayer cultures have shown that 3D culture more faithfully recapitulates in vivo biology38–40.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [38] Zeeberg, K. et al. Assessment of different 3D culture systems to study tumor phenotype and chemosensitivity in pancreatic ductal adenocarcinoma. Int J. Oncol. 49, 243–252 (2016). source
Not checked in the free run.
- cites [39] Lazzari, G. et al. Multicellular spheroid based on a triple co-culture: a novel 3D model to mimic pancreatic tumor complexity. Acta Biomater. 78, 296–307 (2018). source
Not checked in the free run.
- cites [40] Longati, P. et al. 3D pancreatic carcinoma spheroids induce a matrix-rich, chemoresistant phenotype offering a better model for drug testing. BMC Cancer 13, 95 (2013). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationNEAT1 has been shown to promote PDAC growth and metastasis and predict poor prognosis.
“This gene has also been shown to promote PDAC growth and metastasis and predict poor prognosis (Feng 2020)35.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] Feng, Y. et al. LncRNA NEAT1 facilitates pancreatic cancer growth and metastasis through stabilizing ELF3 mRNA. Am. J. Cancer Res. 10, 237–248 (2020).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe dichotomous Moffitt classification schema of "basal-like" and "classical" subtypes was initially established using bulk RNA sequencing strategies applied to human tumor samples.
“The dichotomous Moffitt classification schema of “basal-like” and “classical” subtypes was initially established using bulk RNA sequencing strategies applied to human tumor samples (Moffitt 2015)36.”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationMany genes display copy-number gene-dosage effects on transcriptional expression.
“Previous work in which DNA and RNA were assayed in the same cells has shown that many genes display copy-number gene-dosage effects on transcriptional expression28–30.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [28] Macaulay, I. C. et al. G&t-seq: parallel sequencing of single-cell genomes and transcriptomes. Nat. Methods 12, 519 (2015). source
Not checked in the free run.
- cites [29] Dey, S. S. et al. Integrated genome and transcriptome sequencing of the same cell. Nat. Biotechnol. 33, 285 (2015). source
Not checked in the free run.
- cites [30] Han, K. Y. et al. SIDR: simultaneous isolation and parallel sequencing of genomic DNA and total RNA from single cells. Genome Res. 28, 75–87 (2018). source
Not checked in the free run.
May combine two claims.
Study design and conductown dataInferCNV confirmed clonealign results, with the majority of cells in each condition showing lower copy number in chr15 compared to chr14 and a small subset of cells showing the reverse.
“This confirmed the clonealign results, with the majority of (but not all) cells in each condition showing lower copy number in chr15 compared to chr14 and a small subset of cells showing the reverse.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tickle 2019
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe MiaPaca2 cell line was initially generated from a primary PDAC lesion of a 65-year-old male with tumor involving pancreatic body, tail, and periaortic invasion.
“The MiaPaca2 cell line was initially generated from a primary PDAC lesion of a 65-year-old male, where the tumor had involved the pancreatic body, tail, and demonstrated periaortic invasion24.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Deer, E. L. et al. Phenotype and genotype of pancreatic cancer cell lines. Pancreas 39, 425–435 (2010). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA recent assessment for "basal-like" and "classical" cells in PDAC tissues by subtype-specific protein markers has uncovered bi-phenotypic "hybrid" cells.
“Of note, a recent assessment for “basal-like” and “classical” cells in PDAC tissues by subtype-specific protein markers has uncovered bi-phenotypic “hybrid” cells51, while Ting and colleagues have shown evidence of subtype “drift” in PDAC tissues with various therapies52, both lines of evidence supporting the plasticity of subtype states.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [51] Williams, H. L. et al. Abstract PR-006: Spatially resolved, single cell assessment of pancreatic ductal adenocarcinoma expression subtypes reveals mixed and hybrid basal-classical marker expression with prognostic significance and discrete spatial localization. Cancer Res. 80: PR-006-PR-006 (2020). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenCells with ploidy more than one standard deviation from the mean across cells were removed.
“Cells with ploidy more than one standard deviation from the mean across cells were removed.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationIn rescaled diffusion space, phenotype distance between cells is more faithfully represented.
“we first map the cells from high dimensional transcriptomic space to a low dimensional rescaled diffusion space (Setty 2019)61, where phenotype distance between cells are more faithfully represented”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenA patient was recruited through informed written consent following institutional review board (IRB) approval.
“A patient was recruited at the University of Texas MD Anderson Cancer Center through informed written consent following institutional review board (IRB) approval (Human Research Protection Program Lab00-396 and PA15-0014).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenFor scRNA analysis of cell lines, cells with less than 20% mitochondrial gene expression were retained.
“For removal of mitochondrial genes in cell lines, we subsetted all cells with less than 20% mitochondrial gene expression.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTing and colleagues have shown evidence of subtype "drift" in PDAC tissues with various therapies.
“Of note, a recent assessment for “basal-like” and “classical” cells in PDAC tissues by subtype-specific protein markers has uncovered bi-phenotypic “hybrid” cells51, while Ting and colleagues have shown evidence of subtype “drift” in PDAC tissues with various therapies52, both lines of evidence supporting the plasticity of subtype states.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [52] Porter, R. L. et al. “Epithelial to mesenchymal plasticity and differential response to therapies in pancreatic ductal adenocarcinoma. Proc. Natl Acad. Sci. USA 116, 26835–26845 (2019). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRescaling the diffusion coordinates by their eigenvalues can circumvent the need to choose the optimal number of diffusion coordinates.
“However, it has been proposed that rescaling the diffusion coordinates by their eigenvalues can circumvent this issue61.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [61] Setty, M. et al. Characterization of cell fate probabilities in single-cell data with Palantir. Nat. Biotechnol. 37, 451–460 (2019). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenCells listed as noisy or with a haploid genome (mean ploidy < 1.5) were excluded from scCNV clonal analysis.
“Cells listed as noisy or with a haploid genome (mean ploidy < 1.5) were excluded”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenQuality control on nuclei for snATAC analysis was done by quantifying nucleosome signal, TSS enrichment, number of peaks in fragmentation regions, and nucleosome signal according to Signac software recommendations (TSS Enrichment > 2, nucleosome signal < f10, blacklist ratio < 0.05, percent reads in peaks > 15, peak region fragments between 1,000 and 20,000).
“Quality control on nuclei was done by quantifying nucleosome signal, TSS enrichment, number of peaks in fragmentation regions, and nucleosome signal according to Signac software recommendations (TSS Enrichment > 2, nucleosome signal < f10, blacklist ratio < 0.05, percent reads in peaks > 15, peak region fragments between 1,000 and 20,000).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataCells with higher expression of mitochondrially encoded genes were filtered out post hoc based on the results of the clustering.
“Cells with higher expression of mitochondrially encoded genes were filtered out post hoc based on the results of the clustering.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationown dataThe level of subclonal heterogeneity observed on single cell analysis here is unexpected.
“While established PDAC models are assumptively oligoclonal and reflect human tumors on a global level based on published data, the level of subclonal heterogeneity observed on single cell analysis here is unexpected, leading us to propose the phrase “occult polyclonality” as a molecular paradigm upon which research involving cell lines could be predicated.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Established PDAC models are assumptively oligoclonal and reflect human tumors on a global level based on published data.
May combine two claims.
InterpretationreasoningIt calls into question the assumptions behind isogenic perturbation experiments in cultured cell lines, or the use of archived, cell line-specific profiling data for drawing inferences that are temporally disparate from the data generation point.
“For example, it calls into question the assumptions behind isogenic perturbation experiments in cultured cell lines, or the use of archived, cell line-specific profiling data for drawing inferences that are temporally disparate from the data generation point.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationDiffusion maps transform data from high dimensional gene expression space to a space of much lower dimensions, where usual Euclidean distance is reflective of the cellular phenotypic distance.
“Essentially, they transform data from high dimensional gene expression space to a space of much lower dimensions, where usual Euclidean distance is reflective of the cellular phenotypic distance.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [62] Lafon, S. et al. Data fusion and multicue data matching by diffusion maps. IEEE Trans. Pattern Anal. Mach. Intell. 28, 1784–1797 (2006). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenAll libraries were assessed for quality on Agilent TapeStation 2200 and quantified using both Agilent TapeStation 2200 reagents and Qubit dsDNA HS Reagent kits before loading onto NextSeq500.
“All libraries were assessed for quality on Agilent TapeStation 2200 and quantified using both Agilent TapeStation 2200 reagents and Qubit dsDNA HS Reagent kits (Invitrogen Cat. Q33231) before loading onto NextSeq500 (Illumina).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataPD01late shows true subtype admixture (some cells classify as basal and others as classical) not due solely to admixture within any given cell, suggesting gradual transcriptional reprogramming in the PDO over time.
“We confirmed that this mix of classical and basal genes in PD01late is not due solely to admixture within any given cell, and show that some cells classify as basal and others as classical, resulting in a true subtype admixture that suggests gradual transcriptional reprogramming in the PDO over time (Supplementary Fig. 10).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOur data are comparable to the recent findings of Navin, Michor and colleagues, who identified between seven to 22 subclones on scCNV analysis of triple negative breast cancer tumors and cell lines.
“Our data are comparable to the recent findings of Navin, Michor and colleagues, who identified between seven to 22 subclones on scCNV analysis of triple negative breast cancer tumors and cell lines (Minussi 2021)53.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Minussi 2021
Not checked in the free run.
- cites [53] Minussi, D. C. et al. Breast tumours maintain a reservoir of subclonal diversity during expansion. Nature (2021). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataMycoplasma testing was performed on media from each cell line.
“A volume of 3 mL of media from each cell line was harvested and sent to the MD Anderson core facilities for mycoplasma testing.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenCells defined as noisy in the QC summary file were removed prior to downstream scCNV analysis.
“Cells defined as noisy in the QC summary file (“per_cell_summary_metrics.csv”) were removed prior to downstream analysis as well.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenCells containing less than 200 genes were removed from PDO single-cell analysis.
“Cells containing less than 200 genes were removed”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationCancer cells retain a "reservoir" of subclonal diversity, such that isolated single cell clones re-diversify their genomes within a relatively short time frame, at a calculated pace of one CNV event every four cell divisions.
“Notably, these investigators also reported that cancer cells retain a “reservoir” of subclonal diversity, such that isolated single cell clones re-diversify their genomes within a relatively short time frame, at a calculated pace of one CNV event every four cell divisions.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Minussi, D. C. et al. Breast tumours maintain a reservoir of subclonal diversity during expansion. Nature (2021). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenMolecular fingerprinting was performed on a portion of cells.
“A portion of cells were sent to the MD Anderson core facility for molecular fingerprinting, and all cell lines were counted using a Countess II automated cell counter.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningThe report by Navin, Michor and colleagues in breast cancer, and our own data in PDAC, harbors the potential to have a profound impact on the rigor and reproducibility of research, both within and across laboratories.
“The report by Navin, Michor and colleagues in breast cancer, and our own data in PDAC, harbors the potential to have a profound impact on the rigor and reproducibility of research, both within and across laboratories.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPDOs have emerged as a promising preclinical model for therapeutic prediction and functional studies across multiple cancer types, including in PDAC.
“PDOs have emerged as a promising preclinical model for therapeutic prediction and functional studies across multiple cancer types, including in PDAC18,19,48–50.”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [18] Radulovich, N. et al. Human pancreatic duct epithelial cell model for KRAS Transformation. Methods Enzymol., Academic Press. 439, 1–13 (2008). source
Not checked in the free run.
- cites [19] Furukawa, T. Impacts of activation of the mitogen-activated protein kinase pathway in pancreatic cancer. Front. Oncol. 5 (2015). source
Not checked in the free run.
- cites [48] Jacob, F. et al. A patient-derived glioblastoma organoid model and biobank recapitulates inter- and intra-tumoral heterogeneity. Cell 180, 188–204 e122 (2020). source
Not checked in the free run.
- cites [49] Ganesh, K. et al. A rectal cancer organoid platform to study individual responses to chemoradiation. Nat. Med. 25, 1607–1614 (2019). source
Not checked in the free run.
- cites [50] Ooft, S. N. et al. Patient-derived organoids can predict response to chemotherapy in metastatic colorectal cancer patients. Sci. Transl. Med. 11 (2019). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study was conducted in accordance with Good Clinical Practices concerning medical research in humans per the Declaration of Helsinki.
“The study was conducted in accordance with Good Clinical Practices concerning medical research in humans per the Declaration of Helsinki.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
It is not well established whether cell lines can be reliably classified into Moffitt subtypes as freshly dissociated tumor tissue or PDO models, nor whether subtype admixture would be observable when single-cell methods are applied to subclonal derivatives of parental cell lines.
“However, it is not well established whether cell lines can reliably classified into Moffitt subtypes as freshly dissociated tumor tissue or PDO models, nor whether there would be an observable degree of subtype admixture when single-cell methods are applied to subclonal derivatives of parental cell lines.”
The paper relies on this without support.
Within single-cell analytics, there is scant data on the extent of transcriptional adaptations that occur when modifying conventional monolayer culture to a 3D spheroid model.
“Within the context of single-cell analytics, there is scant data to address the extent of transcriptional adaptations that occur in the process of modifying “conventional” monolayer culture to a 3D spheroid model.”
The paper relies on this without support.
Whether the transcriptome of PDOs evolves over time in culture is less well studied.
“However, whether the transcriptome of PDOs evolves over time in culture is less well studied.”
The authors state this as an assumption.
Established PDAC models are assumptively oligoclonal and reflect human tumors on a global level based on published data.
“While established PDAC models are assumptively oligoclonal and reflect human tumors on a global level based on published data, the level of subclonal heterogeneity observed on single cell analysis here is unexpected, leading us to propose the phrase “occult polyclonality” as a molecular paradigm upon which research involving cell lines could be predicated.”
The paper relies on this without support.
Early passages of PDOs retain the clonal genomic alterations observed in the parental tumor, as well as the transcriptomic signature(s) predictive of response to cytotoxic agents.
“Early passages of PDOs retain the clonal genomic alterations observed in the parental tumor, as well as the transcriptomic signature(s) predictive of response to cytotoxic agents.”
The paper relies on this without support.
Recently developed transcriptome-based subtyping of PDAC have demonstrated both predictive and prognostic significance in early studies.
“Recently developed transcriptome-based subtyping of PDAC have demonstrated both predictive and prognostic significance in early studies.”
The paper relies on this without support.
Certain dependencies (such as metabolic dependencies) initially identified in monolayer conditions have not subsequently been validated within an in vivo context.
“While we do not posit that one culture condition is necessarily more reflective of in vivo biology than the other, it is noteworthy that certain dependencies (such as metabolic dependencies) initially identified in monolayer conditions have not subsequently been validated within an in vivo context.”
The paper relies on this without support.
A single cell can be labeled as belonging to the subtype with the highest average expression.
“We then reasoned that a single cell can be labeled as belonging to the subtype with the highest average expression.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Single-cell RNA sequencing of human and murine tumors found several distinct neoplastic epithelial populations in one tumor, corresponding to multiple PDAC subtypes.
“scRNA-seq datasets from human and murine tumors have identified multiple unique neoplastic epithelial populations within individual tumors149,269, which represent multiple PDAC subtypes within the same tumor270.”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [270]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
KRT8 is assigned to both epithelial and mesenchymal markers
MinorThe Results identify KRT8 as an epithelial transcript expressed in epithelial cell lines, but the Fig. 1 caption labels it a marker of mesenchymal cellular origin.
“we observed high expression of the epithelial transcripts EPCAM and KRT8 in the previously described “epithelial” lines, HPAF-II and BxPC3”
“b UMAP Feature Plotting for known cell-type markers (EPCAM, MUC1 for epithelial; vimentin, and KRT8 for mesenchymal cellular origin).”
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Flagged first, then by citations
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Cited by
Sorted by citations
Pancreatic cancer: Advances and challenges
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Self-citationPre-clinical Models of Metastasis in Pancreatic Cancer
Miquel, M., Zhang, S., & Pilarsky, C. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.748631 · Cited by 53 · see citing works
- Authors
- Monberg, M. E., Geiger, H., Lee, J. J., Sharma, R., Semaan, A., Bernard, V., Wong, J., Wang, F., Liang, S., Swartzlander, D. B., Stephens, B. M., Katz, M. H. G., Chen, K., Robine, N., Guerrero, P. A., & Maitra, A.
- Affiliations
- The University of Texas MD Anderson Cancer Center (US)
- New York Genome Center (US)
- Corresponding author
- Monberg, Maria E.
- ORCID
- Venue
- Nature Communications
- Published
- 2022-06-25
- Volume
- 13
- Issue
- 1
- Pages
- 3652-3652
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC9233687
- OpenAlex
- W4283451026
- Semantic Scholar
- 7462779075be288c8e8060dedffb9912d4604284
- Cited by
- 30
- References
- 65
- Citations by year
- 2026: 6 · 2025: 3 · 2024: 6 · 2023: 9 · 2022: 4 · 2021: 2
- FWCI
- 2.32
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Commons-TMC (Texas Medical Center) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Foundation for the National Institutes of Health (T32CA009599, U54CA096300, U54CA096297, T32CA217789, NIH U01CA196403, NIH U01CA200468, P50CA221707)
- Deutsche Forschungsgemeinschaft (SE-2616/2-1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- pancreatic ductal adenocarcinoma, polyclonality, tumor heterogeneity, patient-derived organoids, copy number variation, 3D spheroid culture, in vitro evolution, reproducibility, preclinical cancer models
- MeSH terms
- Humans, Pancreas, Pancreatic Neoplasms, Reproducibility of Results, Carcinoma, Pancreatic Ductal, Cell Line, Tumor, DNA Copy Number Variations
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
Statistics and arithmetic are recomputed, not judged.
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