Spatial and genomic profiling of residual breast cancer after neoadjuvant chemotherapy unveil divergent fates for each breast cancer subtype

新辅助化疗后残余乳腺癌的空间和基因组分析揭示了每种乳腺癌亚型的不同命运

阅读:9
作者:Eun Seop Seo ,Sabin Park ,Eun Yoon Cho ,Jeong Eon Lee ,Hae Hyun Jung ,Jiyeon Hyeon ,Sepil An ,Seok Won Kim ,Junghoon Shin ,Jin Seok Ahn ,Yeon Hee Park ,Young-Hyuck Im ,Hoon Kim ,Semin Lee ,Woong-Yang Park ,Ji-Yeon Kim

Abstract

Residual cancer burden (RCB) is a strong prognostic marker after neoadjuvant chemotherapy (NAC) in breast cancer (BC), yet some BCs defy their predicted outcomes. Using single-cell spatial transcriptomics and genomic profiling, we investigate mechanisms underlying divergent fates of BCs with high RCB across subtypes. In triple-negative BC (TNBC), CXCL9+ macrophage-CD8+ T cell interactions via chemokines and interferon-gamma signaling promote favorable outcomes, while SPP1+ macrophage-cancer cell interactions driven by hypoxia signaling correlate with poor prognosis. In non-TNBC, the extent of basal-like cancer cells and their proximity to scarce immune cells are linked to prognosis. Additionally, tumor-intrinsic features-such as homologous recombination deficiency in hormone receptor (HR)-positive cancers and structural variations, including extrachromosomal ERBB2 DNA in human epidermal growth factor receptor 2 (HER2)-positive cancers-predict worse outcomes. This study highlights distinct genomic and microenvironmental strategies governing BC subtype-specific fates after NAC. Keywords: breast cancer; extrachromosomal DNA; intrinsic subtype; neoadjuvant treatment; residual cancer burden; spatial transcriptomics; whole-genome sequencing.

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。