Article info

Original research
Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study

Authors

  • Jianli Zhao Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaBreast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China PubMed articlesGoogle scholar articles
  • Zhixian Sun Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaBreast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China PubMed articlesGoogle scholar articles
  • Yunfang Yu Department of Medical Oncology, Yat-sen Supercomputer Intelligent Medical Joint Research Institute, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaFaculty of Medicine, Macau University of Science and Technology, Taipa, Macao, China PubMed articlesGoogle scholar articles
  • Zhongyu Yuan Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China PubMed articlesGoogle scholar articles
  • Ying Lin Breast Disease Center, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China PubMed articlesGoogle scholar articles
  • Yujie Tan Department of Medical Oncology, Yat-sen Supercomputer Intelligent Medical Joint Research Institute, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China PubMed articlesGoogle scholar articles
  • Xiaohui Duan Department of Radiology, Sun Yat-Sen Memorial Hospital, Guangzhou, China PubMed articlesGoogle scholar articles
  • Herui Yao Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaBreast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China PubMed articlesGoogle scholar articles
  • Ying Wang Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaBreast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China PubMed articlesGoogle scholar articles
  • Jieqiong Liu Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, ChinaBreast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China PubMed articlesGoogle scholar articles
  1. Correspondence to Professor Jieqiong Liu; liujieqiong01{at}163.com; Dr Ying Wang; wangy556{at}mail.sysu.edu.cn; Dr Herui Yao; yaoherui{at}mail.sysu.edu.cn
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Citation

Zhao J, Sun Z, Yu Y, et al
Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study

Publication history

  • Accepted May 7, 2023
  • First published May 22, 2023.
Online issue publication 
May 22, 2023

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