A chemotherapy response prediction model derived from tumor-promoting B and Tregs and proinflammatory macrophages in HGSOC

A chemotherapy response prediction model derived from tumor-promoting B and Tregs and proinflammatory macrophages in HGSOC

BackgroundMost patients with high-grade serous ovarian cancer (HGSOC) experienced disease recurrence with cumulative chemoresistance, leading to treatment failure. However, few biomarkers are currently available in clinical practice that can accurately predict chemotherapy response. The tumor immune...

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Bibliographic Details
Main Authors: Yue Xi, Yingchun Zhang, Kun Zheng, Jiawei Zou, Lv Gui, Xin Zou, Liang Chen, Jie Hao, Yiming Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Oncology
Subjects:
chemotherapy
single-cell RNA-seq
high-grade serous ovarian cancer (HGSOC)
bioinformatics
response prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1171582/full

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https://www.frontiersin.org/articles/10.3389/fonc.2023.1171582/full

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