Suppr超能文献

雄激素受体和 FOXA1 共表达在非转移性三阴性乳腺癌中的预后价值及与其他生物标志物的相关性。

Prognostic value of androgen receptor and FOXA1 co-expression in non-metastatic triple negative breast cancer and correlation with other biomarkers.

机构信息

Department of Medical Oncology, Montpellier Cancer Institute, Montpellier, France.

IRCM INSERM Unit 1194, University of Montpellier, Montpellier, France.

出版信息

Br J Cancer. 2018 Jul;119(1):76-79. doi: 10.1038/s41416-018-0142-6. Epub 2018 Jun 8.

Abstract

BACKGROUND

In luminal androgen receptor (AR) tumours, FOXA1 may direct AR to sites occupied by ER in luminal tumours, thus stimulating proliferation.

METHODS

AR and FOXA1 expression were evaluated by immunohistochemistry in 333 non-metastatic triple-negative breast cancers (TNBC). Positivity threshold was set at ≥ 1% staining. Lymphocytic infiltration, PD-L1expression, PIK3CA mutations, PTEN defects and BRCA1 promoter methylation were assessed.

RESULTS

AR + /FOXA1 + tumours (42.4%) were more frequently: found in older patients, lobular, of lower nuclear grade, with more frequently PIK3CA mutations; exhibited less frequently BRCA1 promoter methylation, defects of PTEN and PD-L1 expression than others. Recurrence-free and overall survivals were significantly lower for AR + /FOXA1 + TNBC (median follow-up: 7.8 years).

CONCLUSIONS

AR + /FOXA1 + expression defines a luminal-like TNBC subgroup affected with a worse outcome compared to other TNBC and a higher risk of late recurrences. This subgroup appears enriched in PIK3CA mutations, suggesting a role for PI3K inhibitors in this subgroup.

摘要

背景

在腔面雄激素受体 (AR) 肿瘤中,FOXA1 可能将 AR 导向腔面肿瘤中由 ER 占据的部位,从而刺激增殖。

方法

在 333 例非转移性三阴性乳腺癌 (TNBC) 中,通过免疫组织化学评估 AR 和 FOXA1 的表达。阳性阈值设定为≥1%的染色。评估了淋巴细胞浸润、PD-L1 表达、PIK3CA 突变、PTEN 缺陷和 BRCA1 启动子甲基化。

结果

AR+/FOXA1+肿瘤(42.4%)更常见于:老年患者、小叶癌、核分级较低、PIK3CA 突变更频繁;BRCA1 启动子甲基化、PTEN 缺陷和 PD-L1 表达更少见。与其他 TNBC 相比,AR+/FOXA1+TNBC 的无复发生存率和总生存率显著降低(中位随访:7.8 年)。

结论

AR+/FOXA1+表达定义了一种腔面样 TNBC 亚组,与其他 TNBC 相比,该亚组的预后更差,且晚期复发的风险更高。该亚组似乎富含 PIK3CA 突变,提示 PI3K 抑制剂在该亚组中的作用。

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