The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Biology of breast cancer in young women
Open accessAbstract
Breast cancer arising at a young age is relatively uncommon, particularly in the developed world. Several studies have demonstrated that younger patients often experience a more aggressive disease course and have poorer outcome compared to older women. Expression of key biomarkers, including endocrine receptors, HER2 and proliferation markers, appears to be different in younger patients and young women are more likely to harbor a genetic predisposition. Despite these differences, little research to date has focused on the biology of these tumors to refine prognosis, and potentially direct treatment strategies, which remain similar to those offered to older patients. Accumulating evidence suggests the differences in breast stroma in younger patients and changes that occur with pregnancy and breastfeeding likely contribute to the different biology of these tumors. Reproductive behaviors appear to impact the biology of tumors developing later in life. In addition, tumors arising during or shortly following pregnancy appear to exhibit unique biological features. In this review, we discuss our emerging understanding of the biology of breast cancer arising at a young age at both the pathologic and the genomic level. We elucidate the potential role of genomic signatures, the impact of pregnancy and breastfeeding on breast cancer biology, and how even current knowledge might advance the clinical management of young breast cancer patients.
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
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F.-A., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E.-M., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,845
Nishimura, R., Osako, T., Nishiyama, Y., Tashima, R., Nakano, M., Fujisue, M., Toyozumi, Y., & Arima, N. (2013) · Oncology · doi:10.1159/000353099 · Cited by 13,166
A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
van de Vijver, M. J., He, Y. D., van 't Veer, L. J., Dai, H., Hart, A. A. M., Voskuil, D. W., Schreiber, G. J., Peterse, J. L., Roberts, C., Marton, M. J., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa021967 · Cited by 6,488
A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast Cancer
Paik, S., Shak, S., Tang, G., Kim, C., Baker, J., Cronin, M., Baehner, F. L., Walker, M. G., Watson, D., Park, T., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa041588 · Cited by 6,277
Davies, C., Pan, H., Godwin, J., Gray, R., Arriagada, R., Raina, V., Abraham, M., Alencar, V. H. M., Badran, A., Bonfill, X., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61963-1 · Cited by 2,044
The clonal and mutational evolution spectrum of primary triple-negative breast cancers
Shah, S. P., Roth, A., Goya, R., Oloumi, A., Ha, G., Zhao, Y., Turashvili, G., Ding, J., Tse, K., Haffari, G., et al. (2012) · Nature · doi:10.1038/nature10933 · Cited by 1,967
Mutational Processes Molding the Genomes of 21 Breast Cancers
Nik-Zainal, S., Alexandrov, L. B., Wedge, D. C., Van Loo, P., Greenman, C. D., Raine, K., Jones, D., Hinton, J., Marshall, J., Stebbings, L. A., et al. (2012) · Cell · doi:10.1016/j.cell.2012.04.024 · Cited by 1,909
The landscape of cancer genes and mutational processes in breast cancer
The Oslo Breast Cancer Consortium (OSBREAC), Stephens, P. J., Tarpey, P. S., Davies, H., Van Loo, P., Greenman, C., Wedge, D. C., Nik-Zainal, S., Martin, S., Varela, I., et al. (2012) · Nature · doi:10.1038/nature11017 · Cited by 1,698
kConFab, Lim, E., Vaillant, F., Wu, D., Forrest, N. C., Pal, B., Hart, A. H., Asselin-Labat, M.-L., Gyorki, D. E., Ward, T., et al. (2009) · Nature Medicine · doi:10.1038/nm.2000 · Cited by 1,492 · cited 1×
“Patients with BRCA1 mutations are commonly diagnosed with basal-like tumors [23]; earlier work suggested that luminal progenitors appear to be the cell of origin of these tumors and are regulated by c-kit [24].”
BackgroundGene-Expression Signatures in Breast Cancer
Sotiriou, C., & Pusztai, L. (2009) · New England Journal of Medicine · doi:10.1056/nejmra0801289 · Cited by 1,485
Cited by
Tripathy, D., Im, S.-A., Colleoni, M., Franke, F., Bardia, A., Harbeck, N., Hurvitz, S. A., Chow, L., Sohn, J., Lee, K. S., et al. (2018) · The Lancet Oncology · doi:10.1016/s1470-2045(18)30292-4 · Cited by 1,025
Overall survival with ribociclib plus endocrine therapy in breast cancer
Im, S.-A., Lu, Y.-S., Bardia, A., Harbeck, N., Colleoni, M., Franke, F., Chow, L., Sohn, J., Lee, K.-S., Campos-Gomez, S., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1903765 · Cited by 1,001
Lu, Y.-S., Im, S.-A., Colleoni, M., Franke, F., Bardia, A., Cardoso, F., Harbeck, N., Hurvitz, S., Chow, L., Sohn, J., et al. (2022) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-21-3032 · Cited by 287
Coping in Post-Mastectomy Breast Cancer Survivors and Need for Intervention: Systematic Review.
Mishra, A., Nair, J., & Sharan, A. M. (2023) · Breast Cancer Basic and Clinical Research · doi:10.1177/11782234231209126 · Cited by 15
Metadata
- Authors
- Azim, H. A., & Partridge, A. H.
- Venue
- Breast Cancer Research
- Published
- 2014-08-27
- Volume
- 16
- Issue
- 4
- Pages
- 427-427
- ISSN
- 1465-5411 (ISSN-L)
- 1465-542X
- OpenAlex
- W2098095853
- Cited by
- 466
- References
- 61
- FWCI
- 5.54
- Type
- journal article
- Language
- en
- Open access
- gold
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: Biology of breast cancer in young women. https://app.cochat.ai/papers/10.1186/s13058-014-0427-5
- The paper
- Azim, H. A., & Partridge, A. H. (2014). Biology of breast cancer in young women. Breast Cancer Research. https://doi.org/10.1186/s13058-014-0427-5
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.
