The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Risk Factors and Preventions of Breast Cancer
Open accessAbstract
Breast cancer is the second leading cause of cancer deaths among women. The development of breast cancer is a multi-step process involving multiple cell types, and its prevention remains challenging in the world. Early diagnosis of breast cancer is one of the best approaches to prevent this disease. In some developed countries, the 5-year relative survival rate of breast cancer patients is above 80% due to early prevention. In the recent decade, great progress has been made in the understanding of breast cancer as well as in the development of preventative methods. The pathogenesis and tumor drug-resistant mechanisms are revealed by discovering breast cancer stem cells, and many genes are found related to breast cancer. Currently, people have more drug options for the chemoprevention of breast cancer, while biological prevention has been recently developed to improve patients' quality of life. In this review, we will summarize key studies of pathogenesis, related genes, risk factors and preventative methods on breast cancer over the past years. These findings represent a small step in the long fight against breast 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
Siegel, R. L., Miller, K. D., & Jemal, A. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21387 · Cited by 14,712
Vogel, C. L., Cobleigh, M. A., Tripathy, D., Gutheil, J. C., Harris, L. N., Fehrenbacher, L., Slamon, D. J., Murphy, M., Novotny, W. F., Burchmore, M., et al. (2002) · Journal of Clinical Oncology · doi:10.1200/jco.2002.20.3.719 · Cited by 1,860
RAS oncogenes: weaving a tumorigenic web
Pylayeva-Gupta, Y., Grabocka, E., & Bar-Sagi, D. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3106 · Cited by 1,789
Cuzick, J., Sestak, I., Baum, M., Buzdar, A., Howell, A., Dowsett, M., & Forbes, J. F. (2010) · The Lancet Oncology · doi:10.1016/s1470-2045(10)70257-6 · Cited by 1,674
Exemestane for Breast-Cancer Prevention in Postmenopausal Women
Goss, P. E., Ingle, J. N., Alés-Martínez, J. E., Cheung, A. M., Chlebowski, R. T., Wactawski-Wende, J., McTiernan, A., Robbins, J., Johnson, K. C., Martin, L. W., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1103507 · Cited by 970
(2013) · The Lancet Oncology · doi:10.1016/s1470-2045(13)70301-2 · Cited by 399
Cited by
Small nucleolar RNA and its potential role in breast cancer – A comprehensive review
Dsouza, V. L., Adiga, D., Sriharikrishnaa, S., Suresh, P. S., Chatterjee, A., & Kabekkodu, S. P. (2021) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2020.188501 · Cited by 48
Amiri, M., Bidhendi-Yarandi, R., Fallahzadeh, A., Marzban, Z., & Ramezani Tehrani, F. (2022) · International Journal of Reproductive BioMedicine (IJRM) · doi:10.18502/ijrm.v20i11.12357 · Cited by 31
Jalilian, E., Abolhasani-Zadeh, F., Afgar, A., Samoudi, A., Zeinalynezhad, H., & Langroudi, L. (2023) · Scientific Reports · doi:10.1038/s41598-023-48073-w · Cited by 18
DeepRisk: a deep learning approach for genome-wide assessment of common disease risk
Peng, J., Bao, Z., Li, J., Han, R., Wang, Y., Han, L., Peng, J., Wang, T., Hao, J., Wei, Z., et al. (2024) · Fundamental Research · doi:10.1016/j.fmre.2024.02.015 · Cited by 15
Metadata
- Authors
- Sun, Y.-S., Zhao, Z., Yang, Z.-N., Xu, F., Lu, H.-J., Zhu, Z.-Y., Shi, W., Jiang, J., Yao, P.-P., & Zhu, H.-P.
- Venue
- International Journal of Biological Sciences
- Publisher
- Ivyspring International Publisher
- Published
- 2017
- Volume
- 13
- Issue
- 11
- Pages
- 1387-1397
- ISSN
- 1449-2288 (ISSN-L)
- OpenAlex
- W2770397194
- Cited by
- 2,003
- References
- 6
- FWCI
- 22.62
- 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: Risk Factors and Preventions of Breast Cancer. https://app.cochat.ai/papers/10.7150/ijbs.21635
- The paper
- Sun, Y.-S., Zhao, Z., Yang, Z.-N., Xu, F., Lu, H.-J., Zhu, Z.-Y., Shi, W., Jiang, J., Yao, P.-P., & Zhu, H.-P. (2017). Risk Factors and Preventions of Breast Cancer. International Journal of Biological Sciences. https://doi.org/10.7150/ijbs.21635
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.
