Noninvasive imaging of the tumor immune microenvironment correlates with response to immunotherapy in gastric cancer

Weicai Huang, Yuming Jiang, Wenjun Xiong, Zepang Sun, Chuanli Chen, Qingyu Yuan, Kangneng Zhou, Zhen Han, Hao Feng, Hao Chen, Xiaokun Liang, Shitong Yu, Yanfeng Hu, Jiang Yu, Yan Chen, Liying Zhao, Hao Liu, Zhiwei Zhou, Wei Wang (), Wei Wang (), Yikai Xu () and Guoxin Li ()
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Weicai Huang: Southern Medical University
Yuming Jiang: Southern Medical University
Wenjun Xiong: the Second Affiliated Hospital of Guangzhou University of Chinese Medicine
Zepang Sun: Southern Medical University
Chuanli Chen: Southern Medical University
Qingyu Yuan: Southern Medical University
Kangneng Zhou: University of Science and Technology Beijing
Zhen Han: Southern Medical University
Hao Feng: Southern Medical University
Hao Chen: Southern Medical University
Xiaokun Liang: Chinese Academy of Sciences
Shitong Yu: Southern Medical University
Yanfeng Hu: Southern Medical University
Jiang Yu: Southern Medical University
Yan Chen: Guangzhou University of Chinese Medicine
Liying Zhao: Southern Medical University
Hao Liu: Southern Medical University
Zhiwei Zhou: Sun Yat-sen University Cancer Center
Wei Wang: the Second Affiliated Hospital of Guangzhou University of Chinese Medicine
Wei Wang: Sun Yat-sen University Cancer Center
Yikai Xu: Southern Medical University
Guoxin Li: Southern Medical University

Nature Communications, 2022, vol. 13, issue 1, 1-14

Abstract: Abstract The tumor immune microenvironment (TIME) is associated with tumor prognosis and immunotherapy response. Here we develop and validate a CT-based radiomics score (RS) using 2272 gastric cancer (GC) patients to investigate the relationship between the radiomics imaging biomarker and the neutrophil-to-lymphocyte ratio (NLR) in the TIME, including its correlation with prognosis and immunotherapy response in advanced GC. The RS achieves an AUC of 0.795–0.861 in predicting the NLR in the TIME. Notably, the radiomics imaging biomarker is indistinguishable from the IHC-derived NLR status in predicting DFS and OS in each cohort (HR range: 1.694–3.394, P

Date: 2022
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DOI: 10.1038/s41467-022-32816-w

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