The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.
Lineage plasticity in cancer: a shared pathway of therapeutic resistance
Open accessAbstract
Lineage plasticity, the ability of cells to transition from one committed developmental pathway to another, has been proposed as a source of intratumoural heterogeneity and of tumour adaptation to an adverse tumour microenvironment including exposure to targeted anticancer treatments. Tumour cell conversion into a different histological subtype has been associated with a loss of dependency on the original oncogenic driver, leading to therapeutic resistance. A well-known pathway of lineage plasticity in cancer — the histological transformation of adenocarcinomas to aggressive neuroendocrine derivatives — was initially described in lung cancers harbouring an EGFR mutation, and was subsequently reported in multiple other adenocarcinomas, including prostate cancer in the presence of antiandrogens. Squamous transformation is a subsequently identified and less well-characterized pathway of adenocarcinoma escape from suppressive anticancer therapy. The increased practice of tumour re-biopsy upon disease progression has increased the recognition of these mechanisms of resistance and has improved our understanding of the underlying biology. In this Review, we provide an overview of the impact of lineage plasticity on cancer progression and therapy resistance, with a focus on neuroendocrine transformation in lung and prostate tumours. We discuss the current understanding of the molecular drivers of this phenomenon, emerging management strategies and open questions in the field. Lineage plasticity is a source of intratumoural heterogeneity and enables tumour adaptation to an adverse tumour microenvironment, eventually leading to therapeutic resistance. The authors of this Review provide an overview of the impact of lineage plasticity on cancer progression and therapy resistance, with a focus on neuroendocrine transformation in lung and prostate tumours, and discuss emerging management strategies and open questions in the field. Lineage plasticity can promote both metastasis and therapy resistance. Histological transformation occurs in up to 5% of EGFR -mutant lung adenocarcinomas and at least 20% of prostate adenocarcinomas on targeted therapy. RB1 and p53 deficiency are implicated in — but not sufficient for — neuroendocrine transformation. AKT pathway activation and aberrant activity of the MYC and SOX families of transcriptional regulators have been implicated as being effectors of histological transformation.
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
1 retracted
Chen, S., Chen, X., Li, W., Shan, T., Lin, W. R., Ma, J., Cui, X., Yang, W., Cao, G., Li, Y., et al. (2018) · Oncology Letters · doi:10.3892/ol.2018.8219 · Cited by 26
RetractedTakahashi, K., & Yamanaka, S. (2006) · Cell · doi:10.1016/j.cell.2006.07.024 · Cited by 26,673
The Epithelial-Mesenchymal Transition Generates Cells with Properties of Stem Cells
Mani, S. A., Guo, W., Liao, M.-J., Eaton, E. N., Ayyanan, A., Zhou, A. Y., Brooks, M., Reinhard, F., Zhang, C. C., Shipitsin, M., et al. (2008) · Cell · doi:10.1016/j.cell.2008.03.027 · Cited by 8,672
Molecular mechanisms of epithelial–mesenchymal transition
Lamouille, S., Xu, J., & Derynck, R. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3758 · Cited by 8,091
A bivalent chromatin structure marks key developmental genes in embryonic stem cells
Bernstein, B. E., Mikkelsen, T. S., Xie, X., Kamal, M., Huebert, D. J., Cuff, J., Fry, B., Meissner, A., Wernig, M., Plath, K., et al. (2006) · Cell · doi:10.1016/j.cell.2006.02.041 · Cited by 5,361
New insights into the mechanisms of epithelial–mesenchymal transition and implications for cancer
Dongre, A., & Weinberg, R. A. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0080-4 · Cited by 3,876
Integrative Clinical Genomics of Advanced Prostate Cancer
Robinson, D., Van Allen, E. M., Wu, Y.-M., Schultz, N., Lonigro, R. J., Mosquera, J.-M., Montgomery, B., Taplin, M.-E., Pritchard, C. C., Attard, G., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.001 · Cited by 3,645
Self-citationGenotypic and Histological Evolution of Lung Cancers Acquiring Resistance to EGFR Inhibitors
Sequist, L. V., Waltman, B. A., Dias-Santagata, D., Digumarthy, S., Turke, A. B., Fidias, P., Bergethon, K., Shaw, A. T., Gettinger, S., Cosper, A. K., et al. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002003 · Cited by 3,499
Everolimus for Advanced Pancreatic Neuroendocrine Tumors
Yao, J. C., Shah, M. H., Ito, T., Bohas, C. L., Wolin, E. M., Van Cutsem, E., Hobday, T. J., Okusaka, T., Capdevila, J., de Vries, E. G. E., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1009290 · Cited by 2,876
Yu, H. A., Arcila, M. E., Rekhtman, N., Sima, C. S., Zakowski, M. F., Pao, W., Kris, M. G., Miller, V. A., Ladanyi, M., & Riely, G. J. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-12-2246 · Cited by 2,454
Self-citation
Cited by
Ganesh, K., & Massagué, J. (2021) · Nature Medicine · doi:10.1038/s41591-020-01195-4 · Cited by 1,051
Gerstberger, S., Jiang, Q., & Ganesh, K. (2023) · Cell · doi:10.1016/j.cell.2023.03.003 · Cited by 913
Evolving cognition of the JAK-STAT signaling pathway: autoimmune disorders and cancer
Xue, C., Yao, Q., Gu, X., Shi, Q., Yuan, X., Chu, Q., Bao, Z., Lu, J., & Li, L. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01468-7 · Cited by 699
Chan, J. M., Quintanal-Villalonga, Á., Gao, V. R., Xie, Y., Allaj, V., Chaudhary, O., Masilionis, I., Egger, J., Chow, A., Walle, T., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.09.008 · Cited by 434
Self-citationMetastasis-Initiating Cells and Ecosystems
Massagué, J., & Ganesh, K. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-0010 · Cited by 372
Metadata
- Authors
- Quintanal-Villalonga, Á., Chan, J. M., Yu, H. A., Pe’er, D., Sawyers, C. L., Sen, T., & Rudin, C. M.
- Venue
- Nature Reviews Clinical Oncology
- Published
- 2020-03-09
- Volume
- 17
- Issue
- 6
- Pages
- 360-371
- ISSN
- 1759-4774 (ISSN-L)
- 1759-4782
- OpenAlex
- W3010398944
- Cited by
- 572
- References
- 125
- FWCI
- 8.53
- Type
- journal article
- Language
- en
- Open access
- green
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: Lineage plasticity in cancer: a shared pathway of therapeutic resistance. https://app.cochat.ai/papers/10.1038/s41571-020-0340-z
- The paper
- Quintanal-Villalonga, Á., Chan, J. M., Yu, H. A., Pe’er, D., Sawyers, C. L., Sen, T., & Rudin, C. M. (2020). Lineage plasticity in cancer: a shared pathway of therapeutic resistance. Nature Reviews Clinical Oncology. https://doi.org/10.1038/s41571-020-0340-z
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.