Spatial multi-omics analysis of tumor-stroma boundary cell features for predicting breast cancer progression and therapy response

Spatial multi-omics analysis of tumor-stroma boundary cell features for predicting breast cancer progression and therapy response

BackgroundThe tumor boundary of breast cancer represents a highly heterogeneous region. In this area, the interactions between malignant and non-malignant cells influence tumor progression, immune evasion, and drug resistance. However, the spatial transcriptional profile of the tumor boundary and it...

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Bibliographic Details
Main Authors: Yuanyuan Wu, Youyang Shi, Zhanyang Luo, Xiqiu Zhou, Yonghao Chen, Xiaoyun Song, Sheng Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
breast cancer
spatial transcriptomics
tumor boundary
CAF-M2 interaction
therapy resistance
prognostic model
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2025.1570696/full
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