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

被引:173
作者
Chen, Dexin [1 ,2 ]
Liu, Zhangyuanzhu [3 ]
Liu, Wenju [1 ,4 ,5 ,6 ]
Fu, Meiting [7 ]
Jiang, Wei [1 ]
Xu, Shuoyu [1 ,8 ]
Wang, Guangxing [2 ,9 ]
Chen, Feng [10 ]
Lu, Jianping [4 ,5 ,6 ]
Chen, Hao [1 ]
Dong, Xiaoyu [1 ]
Li, Guoxin [1 ]
Chen, Gang [4 ,5 ,6 ]
Zhuo, Shuangmu [2 ]
Yan, Jun [1 ,6 ]
机构
[1] Southern Med Univ, Nanfang Hosp, Sch Clin Med 1, Dept Gen Surg, Guangzhou 510515, Peoples R China
[2] Jimei Univ, Sch Sci, Xiamen 361021, Fujian, Peoples R China
[3] Guangzhou Univ Tradit Chinese Med, Dept Hepatobiliary & Pancreat Surg, Guangdong Prov Hosp Tradit Chinese Med, Affiliated Hosp 2, Guangzhou 510120, Guangdong, Peoples R China
[4] Fujian Med Univ Canc Hosp, Dept Pathol, Fuzhou 350014, Peoples R China
[5] Fujian Canc Hosp, Fuzhou 350014, Peoples R China
[6] Fujian Prov Canc Hosp, Precis Med Ctr, Fuzhou 350014, Peoples R China
[7] Southern Med Univ, Nanfang Hosp, Dept Gastroenterol, Guangzhou 510515, Peoples R China
[8] Sun Yat Sen Univ, Dept Radiol, Canc Ctr, Guangzhou 510060, Peoples R China
[9] Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Minist Educ, Fuzhou 350007, Peoples R China
[10] Fujian Med Univ, Affiliated Hosp 2, Dept Oncol Surg, Quanzhou 362000, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
2ND-HARMONIC GENERATION MICROSCOPY; INTRAPERITONEAL CHEMOTHERAPY; CURATIVE RESECTION; MODEL; FEATURES; RECURRENCE; QUANTIFICATION; PROGNOSIS; SIGNATURE; SELECTION;
D O I
10.1038/s41467-020-20429-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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<0.001). A competing-risk nomogram including the collagen signature, tumour size, tumour differentiation status and lymph node metastasis is constructed. The nomogram demonstrates satisfactory discrimination and calibration. Thus, the collagen signature in the tumour microenvironment of the gastric serosa is associated with peritoneal metastasis in GC with serosal invasion, and the nomogram can be conveniently used to individually predict the risk of peritoneal metastasis in GC with serosal invasion after radical surgery. Gastric cancer can metastasise to the peritoneal cavity; predicting in which patients this will occur is important for clinical management of the disease. Here, the authors use multi-photon imaging to derive a collagen signature of the primary cancer that allows the prediction of metastasis.
引用
收藏
页数:11
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