Identification of predictive pretreatment biomarkers for neoadjuvant chemotherapy response in Latino invasive breast cancer patients

识别预测拉丁裔浸润性乳腺癌患者新辅助化疗反应的治疗前生物标志物

阅读:2

Abstract

BACKGROUND: Breast cancer (BC) exhibits significant heterogeneity in incidence and mortality worldwide. Neoadjuvant chemotherapy (NAC) is the standard treatment for locally advanced BC; however, its efficacy varies by subtype. This study examined the gene expression profiles associated with NAC response in Colombian women with invasive BC. METHODS: RNA sequencing of pre-treatment tissues from 58 patients (29 responders and 29 non-responders) identified differentially expressed genes (DEGs) for each molecular subtype, and prognostic performance was evaluated using risk scores. RESULTS: Functional enrichment analysis highlighted the immune system pathways in non-responders. Changes in cytokine target activity and immune cell populations were analyzed to understand the role of the tumor microenvironment (TME) in response to treatment. APOD, GPR132, FGF10, and HBB emerged as independent predictors of NAC response, with APOD showing a protective effect in LuminalB/HER2- patients. These results were corroborated by immunohistochemistry and public databases. Drug sensitivity analysis revealed varied responses to potential therapeutics among the non-responders. CONCLUSIONS: This study underscores the need to identify specific gene expression profiles and immune cell population changes to predict NAC responses, paving the way for personalized and effective treatments for the Colombian BC population.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。