Nature Communications (Aug 2022)
Predicting response to immunotherapy in gastric cancer via multi-dimensional analyses of the tumour immune microenvironment
- Yang Chen,
- Keren Jia,
- Yu Sun,
- Cheng Zhang,
- Yilin Li,
- Li Zhang,
- Zifan Chen,
- Jiangdong Zhang,
- Yajie Hu,
- Jiajia Yuan,
- Xingwang Zhao,
- Yanyan Li,
- Jifang Gong,
- Bin Dong,
- Xiaotian Zhang,
- Jian Li,
- Lin Shen
Affiliations
- Yang Chen
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute
- Keren Jia
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute
- Yu Sun
- Department of Pathology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute
- Cheng Zhang
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute
- Yilin Li
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute
- Li Zhang
- Center for Data Science, Peking University
- Zifan Chen
- Center for Data Science, Peking University
- Jiangdong Zhang
- School of Software and Microelectronics, Peking University
- Yajie Hu
- National Biomedical Imaging Center, Peking University
- Jiajia Yuan
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute
- Xingwang Zhao
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute
- Yanyan Li
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute
- Jifang Gong
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute
- Bin Dong
- Beijing International Center for Mathematical Research (BICMR), Peking University
- Xiaotian Zhang
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute
- Jian Li
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute
- Lin Shen
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute
- DOI
- https://doi.org/10.1038/s41467-022-32570-z
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 12
Abstract
Predictive methods for gastric cancer to try and differentiate between potential treatment response are required. Here the authors use a multiplexed immunohistochemistry method to propose the proximity of tumour infiltrating immune cells as an indicator of likely therapeutic response.
