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

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...

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Bibliographic Details
Published in:Nature communications 2021-01, Vol.12 (1), p.179-179, Article 179
Main Authors: Chen, Dexin, Liu, Zhangyuanzhu, Liu, Wenju, Fu, Meiting, Jiang, Wei, Xu, Shuoyu, Wang, Guangxing, Chen, Feng, Lu, Jianping, Chen, Hao, Dong, Xiaoyu, Li, Guoxin, Chen, Gang, Zhuo, Shuangmu, Yan, Jun
Format: Article
Language:English
Subjects:
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631/67/1504
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Cancer
Cohort Studies
Collagen
Collagen - therapeutic use
Female
Gastric cancer
Humanities and Social Sciences
Humans
Kaplan-Meier Estimate
Lymph nodes
Lymphatic Metastasis - pathology
Male
Medical imaging
Metastases
Metastasis
Microenvironments
Middle Aged
multidisciplinary
Neoplasm Recurrence, Local - pathology
Nomograms
Peritoneal Neoplasms - pathology
Peritoneal Neoplasms - surgery
Peritoneum
Peritoneum - pathology
Postoperative Period
Risk
Science
Science (multidisciplinary)
Serous Membrane - pathology
Serous Membrane - surgery
Stomach Neoplasms - pathology
Stomach Neoplasms - surgery
Surgery
Tumor Microenvironment
Tumors
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Summary: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  
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-020-20429-0