Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram

Dexin Chen, Zhangyuanzhu Liu, Wenju Liu, Meiting Fu, Wei Jiang, Shuoyu Xu, Guangxing Wang, Feng Chen, Jianping Lu, Hao Chen, Xiaoyu Dong, Guoxin Li (), Gang Chen (), Shuangmu Zhuo () and Jun Yan ()
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Dexin Chen: Southern Medical University
Zhangyuanzhu Liu: The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine
Wenju Liu: Southern Medical University
Meiting Fu: Nanfang Hospital, Southern Medical University
Wei Jiang: Southern Medical University
Shuoyu Xu: Southern Medical University
Guangxing Wang: Jimei University
Feng Chen: The Second Affiliated Hospital of Fujian Medical University
Jianping Lu: Fujian Medical University Cancer Hospital and Fujian Cancer Hospital
Hao Chen: Southern Medical University
Xiaoyu Dong: Southern Medical University
Guoxin Li: Southern Medical University
Gang Chen: Fujian Medical University Cancer Hospital and Fujian Cancer Hospital
Shuangmu Zhuo: Jimei University
Jun Yan: Southern Medical University

Nature Communications, 2021, vol. 12, issue 1, 1-11

Abstract: Abstract Accurate prediction of peritoneal metastasis for gastric cancer (GC) with serosal invasion is crucial in clinic. The presence of collagen in the tumour microenvironment affects the metastasis of cancer cells. Herein, we propose a collagen signature, which is composed of multiple collagen features in the tumour microenvironment of the serosa derived from multiphoton imaging, to describe the extent of collagen alterations. We find that a high collagen signature is significantly associated with a high risk of peritoneal metastasis (P

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20429-0

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DOI: 10.1038/s41467-020-20429-0

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