The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Breast and Ovarian Cancer
Open accessAbstract
espite years of intensive study and substantial progress in understanding susceptibility to breast and ovarian cancer, these diseases remain important causes of death in women.However, several recent critical advances -sequencing of the human genome and the development of high-throughput techniques for identifying DNA-sequence variants, changes in copy numbers, and global expression profiles -have dramatically accelerated the pace of research aimed at preventing and curing these diseases.We review some of the important discoveries in the genetics of breast and ovarian cancer, ongoing studies to isolate additional susceptibility genes, and early work on molecular profiling involving microarrays.In the United States, 10 to 20 percent of patients with breast cancer and patients with ovarian cancer have a first-or second-degree relative with one of these diseases. 1Two major genes associated with susceptibility to breast and ovarian cancer -breast cancer susceptibility gene 1 ( BRCA1 ) and breast cancer susceptibility gene 2 ( BRCA2 ) -have been identified to date. 2,3Mutations in either of these genes confer a lifetime risk of breast cancer of between 60 and 85 percent and a lifetime risk of ovarian cancer of between 15 and 40 percent. 4,5However, mutations in these genes account for only 2 to 3 percent of all breast cancers, 6,7 and susceptibility alleles in other genes, such as TP53, PTEN, and STK11/LKB1, are even less common causes of breast and ovarian cancer (Fig. 1).The prediction that there are common DNA-sequence variants that confer a small but appreciable enhanced risk of cancer has been validated with the recent discovery of the 1100delC mutation in the cell-cycle-checkpoint kinase gene ( CHEK2 ). 9 This mutation was found in 1.1 percent of women without breast cancer, 1.4 percent of women with a personal but no family history of breast cancer, and 4.2 percent of index patients from 718 families in which two or more members had been given a diagnosis of breast cancer before the age of 60 years but in which there was no detectable BRCA1 or BRCA2 mutation.This mutation doubles the risk of breast cancer among women and increases the risk among men by a factor of 10.CHEK2, an important component of the cellular machinery that recognizes and repairs damaged DNA, is activated after phosphorylation by the checkpoint gene ATM and in turn activates BRCA1.The role of ATM mutations in the predisposition to the early onset of breast cancer remains controversial, but some missense mutations do appear to increase susceptibility to breast cancer in humans 10 and mice. 11There is convincing evidence that additional high-penetrance genes that increase susceptibility to breast cancer exist.In contrast, it has been suggested that, other than BRCA1 and BRCA2, high-penetrance genes that confer susceptibility to ovarian cancer do not exist. 12An ovarian-cancer-susceptibility locus on chromosome 3p22-25 has d susceptibility to breast and ovarian cancer
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
Mutations of the BRAF gene in human cancer
Davies, H., Bignell, G. R., Cox, C., Stephens, P., Edkins, S., Clegg, S., Teague, J., Woffendin, H., Garnett, M. J., Bottomley, W., et al. (2002) · Nature · doi:10.1038/nature00766 · Cited by 10,674
Self-citationGene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
Intratumoral T Cells, Recurrence, and Survival in Epithelial Ovarian Cancer
Zhang, L., Conejo-Garcia, J. R., Katsaros, D., Gimotty, P. A., Massobrio, M., Regnani, G., Makrigiannakis, A., Gray, H., Schlienger, K., Liebman, M. N., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa020177 · Cited by 3,397
The CHEK2-Breast Cancer Consortium (2002) · Nature Genetics · doi:10.1038/ng879 · Cited by 1,104
Breast Cancer after Prophylactic Bilateral Mastectomy in Women with a BRCA1 or BRCA2 Mutation
Meijers-Heijboer, H., van Geel, B., van Putten, W. L. J., Henzen-Logmans, S. C., Seynaeve, C., Menke-Pluymers, M. B. E., Bartels, C. C. M., Verhoog, L. C., van den Ouweland, A. M. W., Niermeijer, M. F., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200107193450301 · Cited by 973
Cited by
Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy
Farmer, H., McCabe, N., Lord, C. J., Tutt, A. N. J., Johnson, D. A., Richardson, T. B., Santarosa, M., Dillon, K. J., Hickson, I., Knights, C., et al. (2005) · Nature · doi:10.1038/nature03445 · Cited by 6,683
Inhibition of Poly(ADP-Ribose) Polymerase in Tumors from BRCA Mutation Carriers
Fong, P. C., Boss, D. S., Yap, T. A., Tutt, A., Wu, P., Mergui-Roelvink, M., Mortimer, P., Swaisland, H., Lau, A., O'Connor, M. J., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0900212 · Cited by 3,634
Control of BRCA2 Cellular and Clinical Functions by a Nuclear Partner, PALB2
Xia, B., Sheng, Q., Nakanishi, K., Ohashi, A., Wu, J., Christ, N., Liu, X., Jasin, M., Couch, F. J., & Livingston, D. M. (2006) · Molecular Cell · doi:10.1016/j.molcel.2006.05.022 · Cited by 861
DNA double-strand break repair pathway choice and cancer
Aparicio, T., Baer, R., & Gautier, J. (2014) · DNA Repair · doi:10.1016/j.dnarep.2014.03.014 · Cited by 347
Molecular alterations and targeted therapy in pancreatic ductal adenocarcinoma
Qian, Y., Gong, Y., Fan, Z., Luo, G., Huang, Q., Deng, S., Cheng, H., Jin, K., Ni, Q., Yu, X., et al. (2020) · Journal of Hematology & Oncology · doi:10.1186/s13045-020-00958-3 · Cited by 312
Metadata
- Authors
- Wooster, R., & Weber, B. L.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2003-06-05
- Volume
- 348
- Issue
- 23
- Pages
- 2339-2347
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2051184323
- Cited by
- 605
- References
- 5
- FWCI
- 21.43
- 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: Breast and Ovarian Cancer. https://app.cochat.ai/papers/10.1056/nejmra012284
- The paper
- Wooster, R., & Weber, B. L. (2003). Breast and Ovarian Cancer. New England Journal of Medicine. https://doi.org/10.1056/nejmra012284
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.