The epigenetics of breast cancer - Opportunities for diagnostics, risk stratification and therapy.
The epigenetics of breast cancer - Opportunities for diagnostics, risk stratification and therapy.
复制标题
乳腺癌的表观遗传学 - 诊断、风险分层和治疗的机会。
DOI:
10.1080/15592294.2021.1940644
复制
发表时间:
2022-06
期刊:
影响因子:
3.7
通讯作者:
Duque-Afonso, Jesus
中科院分区:
文献类型:
--
作者:
Schroeder, Rieke;Illert, Anna-Lena;Erbes, Thalia;Flotho, Christian;Luebbert, Michael;Duque-Afonso, Jesus
The stage and molecular pathology-dependent prognosis of breast cancer, the limited treatment options for triple-negative carcinomas, as well as the development of resistance to therapies illustrate the need for improved early diagnosis and the development of new therapeutic approaches. Increasing data suggests that some answers to these challenges could be found in the area of epigenetics. In this study, we focus on the current research of the epigenetics of breast cancer, especially on the potential of epigenetics for clinical application in diagnostics, risk stratification and therapy. The differential DNA methylation status of specific gene regions has been used in the past to differentiate breast cancer cells from normal tissue. New technologies as detection of circulating nucleic acids including microRNAs to early detect breast cancer are emerging. Pattern of DNA methylation and expression of histone-modifying enzymes have been successfully used for risk stratification. However, all these epigenetic biomarkers should be validated in larger clinical studies. Recent preclinical and clinical studies show a therapeutic benefit of epigenetically active drugs for breast cancer entities that are still difficult to treat (triple negative, UICC stage IV). Remarkably, epigenetic therapies combined with chemotherapies or hormone-based therapies represent the most promising strategy. At the current stage, the integration of epigenetic substances into established breast cancer therapy protocols seems to hold the greatest potential for a clinical application of epigenetic research.
登录
查看更多内容
影响因子:
7.4
作者:
Bodelon, Clara;Ambatipudi, Srikant;Garcia-Closas, Montserrat
通讯作者:
Garcia-Closas, Montserrat
影响因子:
30.8
作者:
Cameron, EE;Bachman, KE;Baylin, SB
通讯作者:
Baylin, SB
影响因子:
3.8
作者:
Du, Tonghua;Liu, Bin;Wu, Yuanyu
通讯作者:
Wu, Yuanyu
影响因子:
5.6
作者:
Eckschlager T;Plch J;Stiborova M;Hrabeta J
通讯作者:
Hrabeta J
影响因子:
16.6
作者:
Anwar T;Arellano-Garcia C;Ropa J;Chen YC;Kim HS;Yoon E;Grigsby S;Basrur V;Nesvizhskii AI;Muntean A;Gonzalez ME;Kidwell KM;Nikolovska-Coleska Z;Kleer CG
通讯作者:
Kleer CG