Prediction of CD8+T lymphocyte infiltration levels in gastric cancer from contrast-enhanced CT and clinical factors using machine learning.

Journal: Medical physics
PMID: 39153226

Abstract

BACKGROUND: CD8+ T lymphocyte infiltration is closely associated with the prognosis and immunotherapy response of gastric cancer (GC). For now, the examination of CD8 infiltration levels relies on endoscopic biopsy, which is invasive and unsuitable for longitude assessment during anti-tumor therapy.

Authors

  • Wentao Xie
    Department of Biochemistry and Medical Genetics, University of Manitoba, Room 308-Basic Medical Sciences Building, 745 Bannatyne Avenue, Winnipeg, Manitoba R3E 0J9, Canada.
  • Sheng Jiang
    School of Microelectronics, Northwestern Polytechnical University, Xi'an, 710072, China.
  • Fangjie Xin
    Department of Pathology, The Affiliated Hospital of Qingdao University, 266000, Qingdao, Shandong, China.
  • Zinian Jiang
    Qingdao Medical Colledge, Qingdao University, 266071, Qingdao, Shandong, China.
  • Wenjun Pan
    Qingdao Medical College, Qingdao University, Qingdao, Shandong, China.
  • Xiaoming Zhou
    a Department of Pathology, Guangzhou Medical University, Guangzhou, Guangdong Province, China.
  • Shuai Xiang
    Department of Surgery, Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, 430030, People's Republic of China.
  • Zhenying Xu
    Qingdao Medical College, Qingdao University, Qingdao, Shandong, China.
  • Yun Lu
    Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.
  • Dongsheng Wang

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