Integrating genomic and pathological characteristics to enhance prognostic precision in advanced NSCLC.

Journal: NPJ precision oncology
Published Date: Aug 2, 2025

Abstract

Although immunotherapy combined with chemotherapy (ICT) is the standard treatment for advanced non-small cell lung cancer (NSCLC), identification of reliable prognostic biomarkers remains challenging. In this multicenter study, we performed next-generation sequencing of tumor samples from 162 patients receiving first-line ICT at the Chinese PLA General Hospital and collected their pathological image information. First, we established a model to predict the risk of tumor progression based on genomic characteristics. Furthermore, a deep learning method was employed to recognize different cell types from pathological images, which significantly improved the accuracy of progression-free survival (PFS) and overall survival (OS) prediction. In summary, we constructed a Prognostic Multimodal Classifier for Progression (PMCP) that possesses the capability to precisely forecast PFS and OS. Patients with the PMCP1 subtype exhibit a low risk of progression and demonstrate a higher proportion of epithelial cells. PMCP highlighted the potential value of multimodal biomarkers in guiding clinical decisions regarding ICT. The area under curve (AUC) for predicting PFS was 0.807. This study revealed the importance of integrating genomic and pathological data to improve prognostic accuracy and enable personalized treatment for patients with advanced NSCLC.

Authors

  • Yingjie Han
    Department of Neurosurgery, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050051, China.
  • Junxun Ma
    Senior Department of Oncology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Zhefeng Liu
    Senior Department of Oncology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Lijie Wang
    Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
  • Fan Zhang
    Department of Anesthesiology, Bishan Hospital of Chongqing Medical University, Chongqing, China.
  • Di Huang
    Centre for Ophthalmology and Visual Science (incorporating Lions Eye Institute), The University of Western Australia, Perth, Western Australia, Australia.
  • Siyao Liu
    Department of Emergency, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
  • Jifang Hu
    Computer Network Information Center, Chinese Academy of Sciences, Beijing, China.
  • Wenhua Xiao
    Senior Department of Oncology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Hong Wang
    Department of Cardiology, Liuzhou Workers' Hospital, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
  • Juyi Wen
    Senior Department of Oncology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Haifeng Qin
    Senior Department of Oncology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Hongjun Gao
    Senior Department of Oncology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Xiaosong Li
    School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100083, China.
  • Ziwei Huang
    Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany.
  • Jiali Zhang
    Graduate School, Beijing University of Chinese Medicine, Beijing, China.
  • Yue Zhang
    Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Dawei Sun
    The Affiliated Hospital of Qingdao University, PR China.
  • Junyan Su
    Beijing ChosenMed Clinical Laboratory Co, Ltd., Beijing, China.
  • Jing Chen
    Department of Vascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Beifang Niu
    Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China.
  • Haitao Tao
    Senior Department of Oncology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China. Whatyouknow@126.com.
  • Bo Yang
    Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China.
  • Xiaoqing Liu
  • Jinliang Wang
    CardioCloud Medical Technology (Beijing) Co. Ltd, Beijing, 100084, China.
  • Yi Hu
    School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.

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