The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
NCCN Guidelines Insights: Genetic/Familial High-Risk Assessment: Breast and Ovarian, Version 2.2017
Open accessAbstract
The NCCN Clinical Practice Guidelines in Oncology for Genetic/Familial High-Risk Assessment: Breast and Ovarian provide recommendations for genetic testing and counseling for hereditary cancer syndromes and risk management recommendations for patients who are diagnosed with a syndrome. Guidelines focus on syndromes associated with an increased risk of breast and/or ovarian cancer. The NCCN Genetic/Familial High-Risk Assessment: Breast and Ovarian panel meets at least annually to review comments from reviewers within their institutions, examine relevant new data from publications and abstracts, and reevaluate and update their recommendations. The NCCN Guidelines Insights summarize the panel's discussion and most recent recommendations regarding risk management for carriers of moderately penetrant genetic mutations associated with breast and/or ovarian cancer.
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Cites
Syngal, S., Brand, R. E., Church, J. M., Giardiello, F. M., Hampel, H. L., & Burt, R. W. (2015) · American Journal of Gastroenterology · doi:10.1038/ajg.2014.435 · Cited by 1,662
ATM-Heterozygous Germline Mutations Contribute to Breast Cancer–Susceptibility
Broeks, A., Urbanus, J. H. M., Floore, A. N., Dahler, E. C., Klijn, J. G. M., Rutgers, E. J. T., Devilee, P., Russell, N. S., van Leeuwen, F. E., & van't Veer, L. J. (2000) · The American Journal of Human Genetics · doi:10.1086/302746 · Cited by 240
Cited by
Ovarian cancer statistics, 2018
Torre, L. A., Trabert, B., DeSantis, C. E., Miller, K. D., Samimi, G., Runowicz, C. D., Gaudet, M. M., Jemal, A., & Siegel, R. L. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21456 · Cited by 3,492
State-of-the-art strategies for targeting the DNA damage response in cancer
Pilié, P. G., Tang, C., Mills, G. B., & Yap, T. A. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0114-z · Cited by 1,189
Fassnacht, M., Dekkers, O. M., Else, T., Baudin, E., Berruti, A., de Krijger, R. R., Haak, H. R., Mihai, R., Assie, G., & Terzolo, M. (2018) · European Journal of Endocrinology · doi:10.1530/eje-18-0608 · Cited by 961
Personalized Medicine and the Power of Electronic Health Records
Abul-Husn, N. S., & Kenny, E. E. (2019) · Cell · doi:10.1016/j.cell.2019.02.039 · Cited by 355
Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations
Rebbeck, T. R., Friebel, T. M., Friedman, E., Hamann, U., Huo, D., Kwong, A., Olah, E., Olopade, O. I., Solano, A. R., Teo, S.-H., et al. (2018) · Human Mutation · doi:10.1002/humu.23406 · Cited by 312
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Metadata
- Authors
- Daly, M. B., Pilarski, R., Berry, M., Buys, S. S., Farmer, M., Friedman, S., Garber, J. E., Kauff, N. D., Khan, S., Klein, C., Kohlmann, W., Kurian, A., Litton, J. K., Madlensky, L., Merajver, S. D., Offit, K., Pal, T., Reiser, G., Shannon, K. M., Swisher, E., Vinayak, S., Voian, N. C., Weitzel, J. N., Wick, M. J., Wiesner, G. L., Dwyer, M., & Darlow, S.
- Venue
- Journal of the National Comprehensive Cancer Network
- Publisher
- Harborside Press, LLC
- Published
- 2016-12-31
- Volume
- 15
- Issue
- 1
- Pages
- 9-20
- ISSN
- 1540-1405 (ISSN-L)
- 1540-1413
- OpenAlex
- W2579423964
- Cited by
- 650
- References
- 2
- FWCI
- 83.42
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: NCCN Guidelines Insights: Genetic/Familial High-Risk Assessment: Breast and Ovarian, Version 2.2017. https://app.cochat.ai/papers/10.6004/jnccn.2017.0003
- The paper
- Daly, M. B., Pilarski, R., Berry, M., Buys, S. S., Farmer, M., Friedman, S., Garber, J. E., Kauff, N. D., Khan, S., Klein, C., Kohlmann, W., Kurian, A., Litton, J. K., Madlensky, L., Merajver, S. D., Offit, K., Pal, T., Reiser, G., Shannon, K. M., . . . Darlow, S. (2017). NCCN Guidelines Insights: Genetic/Familial High-Risk Assessment: Breast and Ovarian, Version 2.2017. Journal of the National Comprehensive Cancer Network. https://doi.org/10.6004/jnccn.2017.0003
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.
