Predictive Modeling and Mendelian Randomization for Identifying HCC Patients with High Response to TACE with Atezolizumab and Bevacizumab

We developed a predictive model for TACE+Atez/Bev therapy, enabling effective patient screening. MR validated <i>PDCD1</i>'s role in HCC immunotherapy at the genetic level.

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Publication Details

Journal
Journal of Hepatocellular Carcinoma
Published
2026-02-01
DOI
https://doi.org/10.2147/jhc.s554788
Primary Topic
HER2/EGFR in Cancer Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Predictive Modeling and Mendelian Randomization for Identifying HCC Patients with High Response to TACE with Atezolizumab and Bevacizumab

W. Chen, Shuxian Chen, Kai Shi, Yuhui Shi et al.
Journal of Hepatocellular Carcinoma
HER2/EGFR in Cancer Research
article

Predictive Modeling and Mendelian Randomization for Identifying HCC Patients with High Response to TACE with Atezolizumab and Bevacizumab

W. Chen, Shuxian Chen, Kai Shi, Yuhui Shi, Nan Lin, Jiehui Tan, Jiawei Liu, Ruinan Xia, Shuyan Li
article en

Abstract

We developed a predictive model for TACE+Atez/Bev therapy, enabling effective patient screening. MR validated <i>PDCD1</i>'s role in HCC immunotherapy at the genetic level.

Journal of Hepatocellular CarcinomaVol. Volume 13
Sun Yat-sen University (CN), Guangzhou Liwan District Traditional Chinese Medicine Hospital (CN), Zhongshan People's Hospital (CN), Third Affiliated Hospital of Sun Yat-sen University (CN)
Natural Science Foundation of Guangdong Province
Good health and well-being
Openalex Percentile: Top 61%
HER2/EGFR in Cancer Research
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