• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

乳腺癌的进展:个性化医疗之路

Advances in breast cancer: pathways to personalized medicine.

作者信息

Olopade Olufunmilayo I, Grushko Tatyana A, Nanda Rita, Huo Dezheng

机构信息

Department of Medicine, Section of Hematology/Oncology, Center for Clinical Cancer Genetics, University of Chicago, Chicago, Illinois 60637, USA.

出版信息

Clin Cancer Res. 2008 Dec 15;14(24):7988-99. doi: 10.1158/1078-0432.CCR-08-1211.

DOI:10.1158/1078-0432.CCR-08-1211
PMID:19088015
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4535810/
Abstract

Breast cancer is a complex disease caused by the progressive accumulation of multiple gene mutations combined with epigenetic dysregulation of critical genes and protein pathways. There is substantial interindividual variability in both the age at diagnosis and phenotypic expression of the disease. With an estimated 1,152,161 new breast cancer cases diagnosed worldwide per year, cancer control efforts in the postgenome era should be focused at both population and individual levels to develop novel risk assessment and treatment strategies that will further reduce the morbidity and mortality associated with the disease. The discovery that mutations in the BRCA1 and BRCA2 genes increase the risk of breast and ovarian cancers has radically transformed our understanding of the genetic basis of breast cancer, leading to improved management of high-risk women. A better understanding of tumor host biology has led to improvements in the multidisciplinary management of breast cancer, and traditional pathologic evaluation is being complemented by more sophisticated genomic approaches. A number of genomic biomarkers have been developed for clinical use, and increasingly, pharmacogenetic end points are being incorporated into clinical trial design. For women diagnosed with breast cancer, prognostic or predictive information is most useful when coupled with targeted therapeutic approaches, very few of which exist for women with triple-negative breast cancer or those with tumors resistant to chemotherapy. The immediate challenge is to learn how to use the molecular characteristics of an individual and their tumor to improve detection and treatment, and ultimately to prevent the development of breast cancer. The five articles in this edition of CCR Focus highlight recent advances and future directions on the pathway to individualized approaches for the early detection, treatment, and prevention of breast cancer.

摘要

乳腺癌是一种复杂的疾病,由多种基因突变的逐步积累以及关键基因和蛋白质通路的表观遗传失调所致。该疾病在诊断年龄和表型表达方面存在显著的个体差异。据估计,全球每年有1,152,161例新发乳腺癌病例,后基因组时代的癌症防控工作应聚焦于人群和个体层面,以制定新的风险评估和治疗策略,进一步降低与该疾病相关的发病率和死亡率。BRCA1和BRCA2基因的突变会增加患乳腺癌和卵巢癌风险这一发现,彻底改变了我们对乳腺癌遗传基础的理解,从而改善了对高危女性的管理。对肿瘤宿主生物学的更深入了解促进了乳腺癌多学科管理的改善,传统病理评估正得到更精密的基因组方法的补充。一些基因组生物标志物已被开发用于临床,并且越来越多的药物遗传学终点正被纳入临床试验设计。对于被诊断为乳腺癌的女性,预后或预测信息与靶向治疗方法相结合时最为有用,但三阴性乳腺癌患者或对化疗耐药的肿瘤患者可用的靶向治疗方法极少。当前的挑战是要学会如何利用个体及其肿瘤的分子特征来改善检测和治疗,并最终预防乳腺癌的发生。本期《临床癌症研究聚焦》中的五篇文章重点介绍了在乳腺癌早期检测、治疗和预防的个体化方法之路上的最新进展和未来方向。

相似文献

1
Advances in breast cancer: pathways to personalized medicine.乳腺癌的进展:个性化医疗之路
Clin Cancer Res. 2008 Dec 15;14(24):7988-99. doi: 10.1158/1078-0432.CCR-08-1211.
2
Bilateral prophylactic mastectomy in BRCA mutation carriers: what surgeons need to know.BRCA 突变携带者的双侧预防性乳房切除术:外科医生需要了解的内容。
Ann Ital Chir. 2019;90:1-2.
3
Overview of resistance to systemic therapy in patients with breast cancer.乳腺癌患者全身治疗耐药概述。
Adv Exp Med Biol. 2007;608:1-22. doi: 10.1007/978-0-387-74039-3_1.
4
BRCA1 & BRCA2 methylation as a prognostic and predictive biomarker in cancer: Implementation in liquid biopsy in the era of precision medicine.BRCA1和BRCA2甲基化作为癌症的预后和预测生物标志物:在精准医学时代液体活检中的应用
Clin Epigenetics. 2024 Dec 6;16(1):178. doi: 10.1186/s13148-024-01787-8.
5
Triple-negative breast cancer: current state of the art.三阴性乳腺癌:当前的技术水平
Tumori. 2010 Nov-Dec;96(6):875-88.
6
Prophylactic Oophorectomy: Reducing the U.S. Death Rate from Epithelial Ovarian Cancer. A Continuing Debate.预防性卵巢切除术:降低美国上皮性卵巢癌死亡率。一场持续的争论。
Oncologist. 1996;1(5):326-330.
7
Clinical management of women with genomic BRCA1 and BRCA2 mutations.携带BRCA1和BRCA2基因变异女性的临床管理
Breast Cancer Res Treat. 2001 Sep;69(2):101-13. doi: 10.1023/a:1012203917104.
8
[Personalized medicine and breast cancer: anticipatory medicine, prognostic evaluation and therapeutic targeting].[个性化医疗与乳腺癌:前瞻性医疗、预后评估及治疗靶点]
Bull Cancer. 2013 Dec;100(12):1295-310. doi: 10.1684/bdc.2013.1856.
9
10
Theranostic Interpolation of Genomic Instability in Breast Cancer.乳腺癌基因组不稳定性的诊疗插值法
Int J Mol Sci. 2022 Feb 7;23(3):1861. doi: 10.3390/ijms23031861.

引用本文的文献

1
Characterization of intrinsic subtypes of breast cancer and their relationship with staging: an observational study.乳腺癌内在亚型的特征及其与分期的关系:一项观察性研究。
Front Med (Lausanne). 2025 May 9;12:1553910. doi: 10.3389/fmed.2025.1553910. eCollection 2025.
2
Identification of gene signatures associated with lactation for predicting prognosis and treatment response in breast cancer patients through machine learning.通过机器学习识别与泌乳相关的基因特征,以预测乳腺癌患者的预后和治疗反应。
Sci Rep. 2025 Apr 19;15(1):13575. doi: 10.1038/s41598-025-98255-x.
3
Emerging Multifunctional Carbon-Nanomaterial-Based Biosensors for Cancer Diagnosis.

本文引用的文献

1
Prediction of BRCA Mutations Using the BRCAPRO Model in Clinic-Based African American, Hispanic, and Other Minority Families in the United States.在美国基于临床的非裔美国人、西班牙裔及其他少数族裔家庭中使用BRCAPRO模型预测BRCA突变
J Clin Oncol. 2009 Mar 10;27(8):1184-90. doi: 10.1200/JCO.2008.17.5869. Epub 2009 Feb 2.
2
Pharmacogenetics in breast cancer therapy.乳腺癌治疗中的药物遗传学
Clin Cancer Res. 2008 Dec 15;14(24):8027-41. doi: 10.1158/1078-0432.CCR-08-0993.
3
Emerging biomarkers and new understanding of traditional markers in personalized therapy for breast cancer.
用于癌症诊断的新型多功能碳纳米材料基生物传感器
Small Sci. 2024 Jan 22;4(3):2300221. doi: 10.1002/smsc.202300221. eCollection 2024 Mar.
4
Multi-omics approaches for understanding gene-environment interactions in noncommunicable diseases: techniques, translation, and equity issues.用于理解非传染性疾病中基因-环境相互作用的多组学方法:技术、转化及公平性问题。
Hum Genomics. 2025 Jan 31;19(1):8. doi: 10.1186/s40246-025-00718-9.
5
Advances in predicting breast cancer driver mutations: Tools for precision oncology (Review).预测乳腺癌驱动突变的新进展:精准肿瘤学的工具(综述)。
Int J Mol Med. 2025 Jan;55(1). doi: 10.3892/ijmm.2024.5447. Epub 2024 Oct 25.
6
Predicting gene signature in breast cancer patients with multiple machine learning models.使用多种机器学习模型预测乳腺癌患者的基因特征。
Discov Oncol. 2024 Oct 1;15(1):516. doi: 10.1007/s12672-024-01386-2.
7
Quality of Life Outcomes in Breast Cancer Patients Receiving Chemotherapy With or Without Radiation Therapy.接受或未接受放射治疗的乳腺癌化疗患者的生活质量结果
Clin Breast Cancer. 2025 Jan;25(1):e86-e93. doi: 10.1016/j.clbc.2024.08.015. Epub 2024 Aug 30.
8
Precision medicine in breast cancer (Review).乳腺癌的精准医学(综述)
Mol Clin Oncol. 2024 Aug 20;21(5):78. doi: 10.3892/mco.2024.2776. eCollection 2024 Nov.
9
Nutrition Intervention and Microbiome Modulation in the Management of Breast Cancer.营养干预与微生物组调节在乳腺癌管理中的作用。
Nutrients. 2024 Aug 10;16(16):2644. doi: 10.3390/nu16162644.
10
Investigating the effects of artificial intelligence on the personalization of breast cancer management: a systematic study.探讨人工智能对乳腺癌管理个性化影响的系统研究。
BMC Cancer. 2024 Jul 18;24(1):852. doi: 10.1186/s12885-024-12575-1.
乳腺癌个性化治疗中新兴生物标志物及对传统标志物的新认识
Clin Cancer Res. 2008 Dec 15;14(24):8019-26. doi: 10.1158/1078-0432.CCR-08-0974.
4
Triple-negative breast cancer: risk factors to potential targets.三阴性乳腺癌:从风险因素到潜在靶点
Clin Cancer Res. 2008 Dec 15;14(24):8010-8. doi: 10.1158/1078-0432.CCR-08-1208.
5
Genetic susceptibility loci for breast cancer by estrogen receptor status.按雌激素受体状态分类的乳腺癌遗传易感性位点
Clin Cancer Res. 2008 Dec 15;14(24):8000-9. doi: 10.1158/1078-0432.CCR-08-0975.
6
MicroRNAs: key players in the immune system, differentiation, tumorigenesis and cell death.微小RNA:免疫系统、分化、肿瘤发生及细胞死亡中的关键因子。
Oncogene. 2008 Oct 6;27(45):5959-74. doi: 10.1038/onc.2008.274.
7
Mechanisms of microRNA deregulation in human cancer.人类癌症中微小RNA失调的机制。
Cell Cycle. 2008 Sep 1;7(17):2643-6. doi: 10.4161/cc.7.17.6597. Epub 2008 Sep 12.
8
Polygenes, risk prediction, and targeted prevention of breast cancer.多基因、风险预测与乳腺癌的靶向预防
N Engl J Med. 2008 Jun 26;358(26):2796-803. doi: 10.1056/NEJMsa0708739.
9
Cancer screening in the United States, 2008: a review of current American Cancer Society guidelines and cancer screening issues.2008年美国的癌症筛查:美国癌症协会现行指南及癌症筛查问题综述
CA Cancer J Clin. 2008 May-Jun;58(3):161-79. doi: 10.3322/CA.2007.0017. Epub 2008 Apr 28.
10
Common variants on chromosome 5p12 confer susceptibility to estrogen receptor-positive breast cancer.5号染色体短臂12区的常见变异会增加雌激素受体阳性乳腺癌的易感性。
Nat Genet. 2008 Jun;40(6):703-6. doi: 10.1038/ng.131. Epub 2008 Apr 27.