A Fifteen‐Gene Classifier to Predict Neoadjuvant Chemotherapy Responses in Patients with Stage IB to IIB Squamous Cervical Cancer

A Fifteen‐Gene Classifier to Predict Neoadjuvant Chemotherapy Responses in Patients with Stage IB to IIB Squamous Cervical Cancer

Abstract Neoadjuvant chemotherapy (NACT) remains an attractive alternative for controlling locally advanced cervical cancer. However, approximately 15–34% of women do not respond to induction therapy. To develop a risk stratification tool, 56 patients with stage IB‐IIB cervical cancer are included i...

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Bibliographic Details
Main Authors: Xun Tian, Xin Wang, Zifeng Cui, Jia Liu, Xiaoyuan Huang, Caixia Shi, Min Zhang, Ting Liu, Xiaofang Du, Rui Li, Lei Huang, Danni Gong, Rui Tian, Chen Cao, Ping Jin, Zhen Zeng, Guangxin Pan, Meng Xia, Hongfeng Zhang, Bo Luo, Yonghui Xie, Xiaoming Li, Tianye Li, Jun Wu, Qinghua Zhang, Gang Chen, Zheng Hu
Format: Article
Language:English
Published: Wiley 2021-05-01
Series:Advanced Science
Subjects:
CRISPR/Cas9‐based library screening
neoadjuvant chemotherapy
precision medicine
whole exon sequencing
Online Access:https://doi.org/10.1002/advs.202001978

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