Suppr超能文献

乳腺癌风险预测的新观念

Emerging Concepts in Breast Cancer Risk Prediction.

作者信息

Gierach Gretchen L, Yang Xiaohong R, Figueroa Jonine D, Sherman Mark E

机构信息

National Cancer Institute, Division of Cancer Epidemiology and Genetics, Hormonal and Reproductive Epidemiology Branch, 6120 Executive Blvd., Rockville, MD 20852-7234; ;

National Cancer Institute, Division of Cancer Epidemiology and Genetics, Genetic Epidemiology Branch, 6120 Executive Blvd., Rockville, MD 20852-7234;

出版信息

Curr Obstet Gynecol Rep. 2013 Mar;2(1):43-52. doi: 10.1007/s13669-012-0034-3.

Abstract

Developing improved methods for breast cancer risk prediction could facilitate the targeting of interventions to women at highest risk, thereby reducing mortality, while sparing low-risk women the costs and inconvenience of unnecessary testing and procedures. However, currently available risk assessment tools fall short of achieving accurate individual risk prediction, precluding implementation of this approach. Improving these tools will require the identification of new methods of assessing risk and increasing the accuracy of existing risk indicators. We review four emerging topics that may have importance for breast cancer risk assessment: etiological heterogeneity, genetic susceptibility, mammographic breast density and assessment of breast involution.

摘要

开发改进的乳腺癌风险预测方法有助于将干预措施针对风险最高的女性,从而降低死亡率,同时避免低风险女性承受不必要检测和程序带来的成本和不便。然而,目前可用的风险评估工具未能实现准确的个体风险预测,阻碍了这种方法的实施。改进这些工具需要识别评估风险的新方法并提高现有风险指标的准确性。我们综述了四个可能对乳腺癌风险评估具有重要意义的新兴主题:病因异质性、遗传易感性、乳腺钼靶密度和乳腺 involution 的评估。

相似文献

1
Emerging Concepts in Breast Cancer Risk Prediction.
Curr Obstet Gynecol Rep. 2013 Mar;2(1):43-52. doi: 10.1007/s13669-012-0034-3.
3
Mammographic density, breast cancer risk and risk prediction.
Breast Cancer Res. 2007;9(6):217. doi: 10.1186/bcr1829.
4
Association between breastfeeding, mammographic density, and breast cancer risk: a review.
Int Breastfeed J. 2024 Sep 16;19(1):65. doi: 10.1186/s13006-024-00672-7.
6
Mammographic density, endocrine therapy and breast cancer risk: a prognostic and predictive biomarker review.
Cochrane Database Syst Rev. 2021 Oct 26;10(10):CD013091. doi: 10.1002/14651858.CD013091.pub2.
7
Involution of breast tissue and mammographic density.
Breast Cancer Res. 2016 Dec 15;18(1):128. doi: 10.1186/s13058-016-0792-3.
8
10

引用本文的文献

2
Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts.
Breast Cancer Res. 2018 Dec 3;20(1):147. doi: 10.1186/s13058-018-1073-0.
3
Impact of The Method of Diagnosis on The Stage of Breast Carcinoma.
Eur J Breast Health. 2018 Oct 1;14(4):225-228. doi: 10.5152/ejbh.2018.3870. eCollection 2018 Oct.
4
Relationship of Terminal Duct Lobular Unit Involution of the Breast with Area and Volume Mammographic Densities.
Cancer Prev Res (Phila). 2016 Feb;9(2):149-58. doi: 10.1158/1940-6207.CAPR-15-0282. Epub 2015 Dec 8.
5
Comparison of mammographic density assessed as volumes and areas among women undergoing diagnostic image-guided breast biopsy.
Cancer Epidemiol Biomarkers Prev. 2014 Nov;23(11):2338-48. doi: 10.1158/1055-9965.EPI-14-0257. Epub 2014 Aug 19.

本文引用的文献

2
Comprehensive molecular portraits of human breast tumours.
Nature. 2012 Oct 4;490(7418):61-70. doi: 10.1038/nature11412. Epub 2012 Sep 23.
3
Li-Fraumeni syndrome: report of a clinical research workshop and creation of a research consortium.
Cancer Genet. 2012 Oct;205(10):479-87. doi: 10.1016/j.cancergen.2012.06.008. Epub 2012 Aug 29.
5
Obesity and breast cancer: mechanisms and therapeutic implications.
Front Biosci (Elite Ed). 2012 Jun 1;4(7):2515-24. doi: 10.2741/e562.
6
Potential usefulness of single nucleotide polymorphisms to identify persons at high cancer risk: an evaluation of seven common cancers.
J Clin Oncol. 2012 Jun 10;30(17):2157-62. doi: 10.1200/JCO.2011.40.1943. Epub 2012 May 14.
7
The role of genetic breast cancer susceptibility variants as prognostic factors.
Hum Mol Genet. 2012 Sep 1;21(17):3926-39. doi: 10.1093/hmg/dds159. Epub 2012 Apr 24.
8
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups.
Nature. 2012 Apr 18;486(7403):346-52. doi: 10.1038/nature10983.
9
Analysis of terminal duct lobular unit involution in luminal A and basal breast cancers.
Breast Cancer Res. 2012 Apr 18;14(2):R64. doi: 10.1186/bcr3170.
10
Clinical software development for the Web: lessons learned from the BOADICEA project.
BMC Med Inform Decis Mak. 2012 Apr 10;12:30. doi: 10.1186/1472-6947-12-30.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验