Pretreatment CT-based machine learning radiomics model predicts response in unresectable hepatocellular carcinoma treated with lenvatinib plus PD-1 inhibitors and interventional therapy.

Journal: Journal for immunotherapy of cancer
PMID: 39029924

Abstract

BACKGROUND: Lenvatinib plus PD-1 inhibitors and interventional (LPI) therapy have demonstrated promising treatment effects in unresectable hepatocellular carcinoma (HCC). However, biomarkers for predicting the response to LPI therapy remain to be further explored. We aimed to develop a radiomics model to noninvasively predict the efficacy of LPI therapy.

Authors

  • Yonglin Hua
    Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, Guangdong, China.
  • Zhixian Sun
    Breast Disease Center, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Yuxin Xiao
    Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, Guangdong, China.
  • Huilong Li
    Department of Surgery, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China.
  • Xiaowu Ma
    Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, Guangdong, China.
  • Xuan Luo
    Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, Guangdong, China.
  • Wenliang Tan
    Department of Hepatobiliary and Pancreatic Surgery, Zhuzhou Hospital Affiliated to Central South University Xiangya School of Medicine, Zhuzhou, Hunan, China.
  • Zhiqin Xie
    Guangxi Key Laboratory of Veterinary Biotechnology, Guangxi Veterinary Research Institute, 51 North Road You Ai, Nanning 530001, Guangxi, People's Republic of China.
  • Ziyu Zhang
    Radiography and Medical Imaging, Monash University, Clayton, Victoria, Australia. Electronic address: zhangc.ziyu@gmail.com.
  • Chenwei Tang
    Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, Guangdong, China.
  • Hongkai Zhuang
    Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, Guangdong, China.
  • Weikai Xu
    Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, Guangdong, China.
  • Haihong Zhu
    School of Resource and Environment Sciences, Wuhan University, Wuhan, China.
  • Yajin Chen
    Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, Guangdong, China shchzh2@mail.sysu.edu.cn chenyaj@mail.sysu.edu.cn zhuhaihong1214@126.com.
  • Changzhen Shang
    Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, Guangdong, China shchzh2@mail.sysu.edu.cn chenyaj@mail.sysu.edu.cn zhuhaihong1214@126.com.

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