A novel model for predicting immunotherapy response and prognosis in NSCLC patients.

Journal: Cancer cell international
Published Date: May 15, 2025

Abstract

BACKGROUND: How to screen beneficiary populations has always been a clinical challenge in the treatment of non-small-cell lung cancer (NSCLC) with immune checkpoint inhibitors (ICIs). Routine blood tests, due to their advantages of being minimally invasive, convenient, and capable of reflecting tumor dynamic changes, have potential value in predicting the efficacy of ICIs treatment. However, there are few models based on routine blood tests to predict the efficacy and prognosis of immunotherapy.

Authors

  • Ting Zang
    The First Clinical Medical College and the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong, People's Republic of China.
  • Xiaorong Luo
    China Resources Jiangzhong Pharmaceutical Group Co., Ltd., 330103 Nanchang, China. Electronic address: lxr@crjz.com.
  • Yangyu Mo
    The First Clinical Medical College and the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong, People's Republic of China.
  • Jietao Lin
    The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong, People's Republic of China.
  • Weiguo Lu
    Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
  • Zhiling Li
    Department of Pharmacy, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China. lizhiling22@163.com.
  • Yingchun Zhou
    The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Shulin Chen
    Department of Clinical Laboratory, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China. chenshl@sysucc.org.cn.

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