Suppr超能文献

乳腺癌的治疗诊断和分子分类。

Theranostic and molecular classification of breast cancer.

机构信息

From the Department of Pathology, University of Massachusetts Medical School, UMass Memorial Medical Center, Worcester.

出版信息

Arch Pathol Lab Med. 2014 Jan;138(1):44-56. doi: 10.5858/arpa.2012-0442-RA.

Abstract

CONTEXT

Despite advances in breast cancer management, women continue to relapse and die of breast cancer. Traditionally, evaluation for hormone receptors (estrogen and progesterone), as well as HER2 overexpression, have guided therapy-related decision-making because they are both prognostic and predictive indicators. However, there are limitations with those studies, which can lead to improper treatment. Gene signatures have recently been shown to be of value in identifying molecular portraits of breast carcinoma and are beginning to play role in management and treatment algorithms.

OBJECTIVE

To provide a summary of the prognostic and predictive indicators of breast cancer, such as hormone receptors, HER2, and molecular gene signatures that currently help guide clinical decision making.

DATA SOURCES

Published articles from peer-reviewed journals in PubMed (US National Library of Medicine).

CONCLUSIONS

Emerging evidence shows promise that, in addition to hormone receptors and HER2 studies, evaluating tumors with gene expression profiling can provide additional prognostic and predictive information, further aiding clinical management and leading to a more personalized approach to treating breast cancer.

摘要

背景

尽管乳腺癌的管理取得了进展,但女性仍会复发并死于乳腺癌。传统上,激素受体(雌激素和孕激素)以及 HER2 过表达的评估指导着与治疗相关的决策,因为它们既是预后指标也是预测指标。然而,这些研究存在局限性,可能导致治疗不当。基因特征最近被证明对识别乳腺癌的分子特征具有价值,并开始在管理和治疗算法中发挥作用。

目的

提供乳腺癌的预后和预测指标的概述,例如激素受体、HER2 和分子基因特征,这些指标目前有助于指导临床决策。

资料来源

来自 PubMed(美国国立医学图书馆)的同行评审期刊上发表的文章。

结论

新出现的证据表明,除了激素受体和 HER2 研究外,用基因表达谱评估肿瘤还可以提供额外的预后和预测信息,进一步辅助临床管理,并导致更个性化的乳腺癌治疗方法。

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