The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
Distinct contributions of partial and full EMT to breast cancer malignancy
Open accessAbstract
Epithelial-mesenchymal transition (EMT) is a transient, reversible process of cell de-differentiation where cancer cells transit between various stages of an EMT continuum, including epithelial, partial EMT, and mesenchymal cell states. We have employed Tamoxifen-inducible dual recombinase lineage tracing systems combined with live imaging and 5-cell RNA sequencing to track cancer cells undergoing partial or full EMT in the MMTV-PyMT mouse model of metastatic breast cancer. In primary tumors, cancer cells infrequently undergo EMT and mostly transition between epithelial and partial EMT states but rarely reach full EMT. Cells undergoing partial EMT contribute to lung metastasis and chemoresistance, whereas full EMT cells mostly retain a mesenchymal phenotype and fail to colonize the lungs. However, full EMT cancer cells are enriched in recurrent tumors upon chemotherapy. Hence, cancer cells in various stages of the EMT continuum differentially contribute to hallmarks of breast cancer malignancy, such as tumor invasion, metastasis, and chemoresistance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458
Bioconductor: open software development for computational biology and bioinformatics
Gentleman, R. C., Carey, V. J., Bates, D. M., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier, L., Ge, Y., Gentry, J., et al. (2004) · Genome Biology · doi:10.1186/gb-2004-5-10-r80 · Cited by 12,172
A robust and high-throughput Cre reporting and characterization system for the whole mouse brain
Madisen, L., Zwingman, T. A., Sunkin, S. M., Oh, S. W., Zariwala, H. A., Gu, H., Ng, L. L., Palmiter, R. D., Hawrylycz, M. J., Jones, A. R., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2467 · Cited by 6,907
McCarthy, D. J., Chen, Y., & Smyth, G. K. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks042 · Cited by 5,195
Nieto, M. A., Huang, R. Y.-J., Jackson, R. A., & Thiery, J. P. (2016) · Cell · doi:10.1016/j.cell.2016.06.028 · Cited by 4,492
Full-length RNA-seq from single cells using Smart-seq2
Picelli, S., Faridani, O. R., Björklund, Å. K., Winberg, G., Sagasser, S., & Sandberg, R. (2014) · Nature Protocols · doi:10.1038/nprot.2014.006 · Cited by 4,137
Cited by
Apical–basal polarity and the control of epithelial form and function
Buckley, C. E., & St Johnston, D. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00465-y · Cited by 295
Tumor cell plasticity in targeted therapy-induced resistance: Mechanisms and new strategies
Shi, Z.-D., Pang, K., Wu, Z.-X., Dong, Y., Hao, L., Qin, J.-X., Wang, W., Chen, Z.-S., & Han, C.-H. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01383-x · Cited by 256
Lung endothelium exploits susceptible tumor cell states to instruct metastatic latency
Jakab, M., Lee, K. H., Uvarovskii, A., Ovchinnikova, S., Kulkarni, S. R., Jakab, S., Rostalski, T., Spegg, C., Anders, S., & Augustin, H. G. (2024) · Nature Cancer · doi:10.1038/s43018-023-00716-7 · Cited by 39
Engaging plasticity: Differentiation therapy in solid tumors
Bar-Hai, N., & Ishay-Ronen, D. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.944773 · Cited by 35
The exostosin glycosyltransferase 1/STAT3 axis is a driver of breast cancer aggressiveness
Solaimuthu, B., Khatib, A., Tanna, M., Karmi, A., Hayashi, A., Abu Rmaileh, A., Lichtenstein, M., Takoe, S., Jolly, M. K., & Shaul, Y. D. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2316733121 · Cited by 8
Metadata
- Authors
- Lüönd, F., Sugiyama, N., Bill, R., Bornes, L., Hager, C., Tang, F., Santacroce, N., Beisel, C., Ivanek, R., Bürglin, T., Tiede, S., van Rheenen, J., & Christofori, G.
- Venue
- Developmental Cell
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 56
- Issue
- 23
- Pages
- 3203-3221.e11
- ISSN
- 1534-5807 (ISSN-L)
- OpenAlex
- W3215092418
- Cited by
- 391
- References
- 77
- FWCI
- 20.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Distinct contributions of partial and full EMT to breast cancer malignancy. https://app.cochat.ai/papers/10.1016/j.devcel.2021.11.006
- The paper
- Lüönd, F., Sugiyama, N., Bill, R., Bornes, L., Hager, C., Tang, F., Santacroce, N., Beisel, C., Ivanek, R., Bürglin, T., Tiede, S., van Rheenen, J., & Christofori, G. (2021). Distinct contributions of partial and full EMT to breast cancer malignancy. Developmental Cell. https://doi.org/10.1016/j.devcel.2021.11.006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.