Exploring tumor microenvironment interactions and apoptosis pathways in NSCLC through spatial transcriptomics and machine learning.

Journal: Cellular oncology (Dordrecht, Netherlands)
PMID: 39699801

Abstract

BACKGROUND: The most common type of lung cancer is non-small cell lung cancer (NSCLC), accounting for 85% of all cases. Programmed cell death (PCD), an important regulatory mechanism for cell survival and homeostasis, has become increasingly prominent in cancer research in recent years. As such, exploring the role of PCD in NSCLC may help uncover new mechanisms for therapeutic targets.

Authors

  • Huimin Li
    a Department of Pharmacy , Special Drugs R&D Center of People's Armed Police Forces , Logistics University of Chinese People's Armed Police Forces , Tianjin , China.
  • Yuheng Jiao
    Department of Heart Failure, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
  • Yi Zhang
    Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
  • Junzhi Liu
    Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China; State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, Jiangsu 210023, China.
  • Shuixian Huang
    Department of Otolaryngology, Gongli Hospital of Shanghai Pudong New Area, Shanghai, 200135, China. enthsx@163.com.

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