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Experimental microdissection enables functional harmonisation of pancreatic cancer subtypes
Open accessAbstract
Objective: Pancreatic ductal adenocarcinoma (PDA) has among the highest stromal fractions of any cancer and this has complicated attempts at expression-based molecular classification. The goal of this work is to profile purified samples of human PDA epithelium and stroma and examine their respective contributions to gene expression in bulk PDA samples. Design: We used laser capture microdissection (LCM) and RNA sequencing to profile the expression of 60 matched pairs of human PDA malignant epithelium and stroma samples. We then used these data to train a computational model that allowed us to infer tissue composition and generate virtual compartment-specific expression profiles from bulk gene expression cohorts. Results: Our analysis found significant variation in the tissue composition of pancreatic tumours from different public cohorts. Computational removal of stromal gene expression resulted in the reclassification of some tumours, reconciling functional differences between different cohorts. Furthermore, we established a novel classification signature from a total of 110 purified human PDA stroma samples, finding two groups that differ in the extracellular matrix-associated and immune-associated processes. Lastly, a systematic evaluation of cross-compartment subtypes spanning four patient cohorts indicated partial dependence between epithelial and stromal molecular subtypes. Conclusion: Our findings add clarity to the nature and number of molecular subtypes in PDA, expand our understanding of global transcriptional programmes in the stroma and harmonise the results of molecular subtyping efforts across independent cohorts.
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“Mauer et al., found isolated epithelial tissues supported the Moffitt “classical” or “basal-like” subtypes, while they found no evidence of the Bailey “ADEX” subtype or Collisson “exocrine-like” subtypes in epithelial enriched tumor samples132.”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [132]
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Self-citation
Metadata
- Authors
- Maurer, C., Holmstrom, S. R., He, J., Laise, P., Su, T., Ahmed, A., Hibshoosh, H., Chabot, J. A., Oberstein, P. E., Sepulveda, A. R., Genkinger, J. M., Zhang, J., Iuga, A. C., Bansal, M., Califano, A., & Olive, K. P.
- Affiliations
- Columbia University Irving Medical Center (US)
- NYU Langone Health (US)
- University of California San Diego (US)
- Psychogenics (United States) (US)
- Corresponding author
- Califano, Andrea
- ORCID
- Venue
- Gut
- Publisher
- BMJ
- Published
- 2019-01-18
- Volume
- 68
- Issue
- 6
- Pages
- 1034-1043
- ISSN
- 0017-5749 (ISSN-L)
- 1468-3288
- PMC
- PMC6509007
- OpenAlex
- W2910033560
- Cited by
- 216
- References
- 27
- Citations by year
- 2026: 15 · 2025: 27 · 2024: 30 · 2023: 22 · 2022: 36 · 2021: 43 · 2020: 27 · 2019: 16
- FWCI
- 12.85
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Gut (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- pancreatic ductal adenocarcinoma, tumor stroma, molecular subtypes, stromal gene expression, extracellular matrix, antitumor immunity
- MeSH terms
- Adenocarcinoma, Computer Simulation, Extracellular Matrix, Humans, Pancreatic Neoplasms, Sensitivity and Specificity, Gene Expression Regulation, Neoplastic, Case-Control Studies, Gene Expression Profiling, Carcinoma, Pancreatic Ductal, Microdissection
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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