The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Paradoxical Relationship between Chromosomal Instability and Survival Outcome in Cancer
Open accessAbstract
Chromosomal instability (CIN) is associated with poor prognosis in human cancer. However, in certain animal tumor models elevated CIN negatively impacts upon organism fitness, and is poorly tolerated by cancer cells. To better understand this seemingly contradictory relationship between CIN and cancer cell biological fitness and its relationship with clinical outcome, we applied the CIN70 expression signature, which correlates with DNA-based measures of structural chromosomal complexity and numerical CIN in vivo, to gene expression profiles of 2,125 breast tumors from 13 published cohorts. Tumors with extreme CIN, defined as the highest quartile CIN70 score, were predominantly of the estrogen receptor negative (ER−), basal-like phenotype and displayed the highest chromosomal structural complexity and chromosomal numerical instability. We found that the extreme CIN/ER− tumors were associated with improved prognosis relative to tumors with intermediate CIN70 scores in the third quartile. We also observed this paradoxical relationship between CIN and prognosis in ovarian, gastric, and non–small cell lung cancer, with poorest outcome in tumors with intermediate, rather than extreme, CIN70 scores. These results suggest a nonmonotonic relationship between gene signature expression and HR for survival outcome, which may explain the difficulties encountered in the identification of prognostic expression signatures in ER− breast cancer. Furthermore, the data are consistent with the intolerance of excessive CIN in carcinomas and provide a plausible strategy to define distinct prognostic patient cohorts with ER− breast cancer. Inclusion of a surrogate measurement of CIN may improve cancer risk stratification and future therapeutic approaches. Cancer Res; 71(10); 3447–52. ©2011 AACR.
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
Genes that mediate breast cancer metastasis to lung
Minn, A. J., Gupta, G. P., Siegel, P. M., Bos, P. D., Shu, W., Giri, D. D., Viale, A., Olshen, A. B., Gerald, W. L., & Massagué, J. (2005) · Nature · doi:10.1038/nature03799 · Cited by 2,922
Effects of Aneuploidy on Cellular Physiology and Cell Division in Haploid Yeast
Torres, E. M., Sokolsky, T., Tucker, C. M., Chan, L. Y., Boselli, M., Dunham, M. J., & Amon, A. (2007) · Science · doi:10.1126/science.1142210 · Cited by 935
Error catastrophe and antiviral strategy
Eigen, M. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.212514799 · Cited by 339
Cited by
Clonal heterogeneity and tumor evolution: past, present, and the future
McGranahan, N., & Swanton, C. (2017) · Cell · doi:10.1016/j.cell.2017.01.018 · Cited by 2,840
Self-citationThe causes and consequences of genetic heterogeneity in cancer evolution
Burrell, R. A., McGranahan, N., Bartek, J., & Swanton, C. (2013) · Nature · doi:10.1038/nature12625 · Cited by 2,262
Self-citationMatthews, H. K., Bertoli, C., & de Bruin, R. A. M. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00404-3 · Cited by 1,506
Biological and therapeutic impact of intratumor heterogeneity in cancer evolution
McGranahan, N., & Swanton, C. (2015) · Cancer Cell · doi:10.1016/j.ccell.2014.12.001 · Cited by 1,077
Self-citationIntratumor Heterogeneity: Evolution through Space and Time
Swanton, C. (2012) · Cancer Research · doi:10.1158/0008-5472.can-12-2217 · Cited by 931
Self-citation
Metadata
- Authors
- Birkbak, N. J., Eklund, A. C., Li, Q., McClelland, S. E., Endesfelder, D., Tan, P., Tan, I. B., Richardson, A. L., Szallasi, Z., & Swanton, C.
- Venue
- Cancer Research
- Published
- 2011-05-15
- Volume
- 71
- Issue
- 10
- Pages
- 3447-3452
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2169016078
- Cited by
- 350
- References
- 3
- FWCI
- 7.16
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Paradoxical Relationship between Chromosomal Instability and Survival Outcome in Cancer. https://app.cochat.ai/papers/10.1158/0008-5472.can-10-3667
- The paper
- Birkbak, N. J., Eklund, A. C., Li, Q., McClelland, S. E., Endesfelder, D., Tan, P., Tan, I. B., Richardson, A. L., Szallasi, Z., & Swanton, C. (2011). Paradoxical Relationship between Chromosomal Instability and Survival Outcome in Cancer. Cancer Research. https://doi.org/10.1158/0008-5472.can-10-3667
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.