The DOI matches its Crossref record; 143 of the 143 references it cites were found in a registry or an index.
The Role of Aneuploidy in Cancer Evolution
Open accessAbstract
Chromosomal aberrations during cell division represent one of the first recognized features of human cancer cells, and modern detection methods have revealed the pervasiveness of aneuploidy in cancer. The ongoing karyotypic changes brought about by chromosomal instability (CIN) contribute to tumor heterogeneity, drug resistance, and treatment failure. Whole-chromosome and segmental aneuploidies resulting from CIN have been proposed to allow "macroevolutionary" leaps that may contribute to profound phenotypic change. In this review, we will outline evidence indicating that aneuploidy and CIN contribute to cancer evolution.
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
RETRACTED: The inner centromere–shugoshin network prevents chromosomal instability
Tanno, Y., Susumu, H., Kawamura, M., Sugimura, H., Honda, T., & Watanabe, Y. (2015) · Science · doi:10.1126/science.aaa2655 · Cited by 44
RetractedCerami, E., Gao, J., Dogrusoz, U., Gross, B. E., Sumer, S. O., Aksoy, B. A., Jacobsen, A., Byrne, C. J., Heuer, M. L., Larsson, E., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0095 · Cited by 17,455
Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal
Gao, J., Aksoy, B. A., Dogrusoz, U., Dresdner, G., Gross, B., Sumer, S. O., Sun, Y., Jacobsen, A., Sinha, R., Larsson, E., et al. (2013) · Science Signaling · doi:10.1126/scisignal.2004088 · Cited by 15,160
Genetic instabilities in human cancers
Lengauer, C., Kinzler, K. W., & Vogelstein, B. (1998) · Nature · doi:10.1038/25292 · Cited by 4,168 · cited 2×
“Multiple mechanisms have been described to account for the high rate of whole-chromosome segregation errors (wCIN) and structural aberrations (sCIN) in cancerand have been comprehensively discussed elsewhere (Lengauer et al. 1998; Ganem et al. 2007; Holland and Cleveland 2009; Burrell et al. 2013b; Duijf and Benezra 2…”
BackgroundHingorani, S. R., Wang, L., Multani, A. S., Combs, C., Deramaudt, T. B., Hruban, R. H., Rustgi, A. K., Chang, S., & Tuveson, D. A. (2005) · Cancer Cell · doi:10.1016/j.ccr.2005.04.023 · Cited by 2,609
Tumour evolution inferred by single-cell sequencing
Navin, N., Kendall, J., Troge, J., Andrews, P., Rodgers, L., McIndoo, J., Cook, K., Stepansky, A., Levy, D., Esposito, D., et al. (2011) · Nature · doi:10.1038/nature09807 · Cited by 2,598
Massive genomic rearrangement acquired in a single catastrophic event during cancer development
Stephens, P. J., Greenman, C. D., Fu, B., Yang, F., Bignell, G. R., Mudie, L. J., Pleasance, E. D., Lau, K. W., Beare, D., Stebbings, L. A., et al. (2011) · Cell · doi:10.1016/j.cell.2010.11.055 · Cited by 2,414
The 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-citationThe spindle-assembly checkpoint in space and time
Musacchio, A., & Salmon, E. D. (2007) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2163 · Cited by 2,227
Absolute quantification of somatic DNA alterations in human cancer
Carter, S. L., Cibulskis, K., Helman, E., McKenna, A., Shen, H., Zack, T., Laird, P. W., Onofrio, R. C., Winckler, W., Weir, B. A., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2203 · Cited by 2,053
Cited by
Matthews, 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
Mouse models of aneuploidy to understand chromosome disorders
Tosh, J., Tybulewicz, V., & Fisher, E. M. C. (2022) · Mammalian Genome · doi:10.1007/s00335-021-09930-z · Cited by 24
Chao, A., Lai, C.-H., Wang, T.-H., Jung, S.-M., Lee, Y.-S., Chang, W.-Y., Yang, L.-Y., Ku, F.-C., Huang, H.-J., Chao, A.-S., et al. (2018) · Journal of Molecular Medicine · doi:10.1007/s00109-018-1643-8 · Cited by 20
Metadata
- Authors
- Sansregret, L., & Swanton, C.
- Venue
- Cold Spring Harbor Perspectives in Medicine
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2016-10-21
- Volume
- 7
- Issue
- 1
- Pages
- a028373
- ISSN
- 2157-1422 (ISSN-L)
- OpenAlex
- W2532595713
- Cited by
- 266
- References
- 143
- Type
- posted content
- 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: The Role of Aneuploidy in Cancer Evolution. https://app.cochat.ai/papers/10.1101/cshperspect.a028373
- The paper
- Sansregret, L., & Swanton, C. (2017). The Role of Aneuploidy in Cancer Evolution. Cold Spring Harbor Perspectives in Medicine. https://doi.org/10.1101/cshperspect.a028373
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.
