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

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.

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Autores principales:	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, Jun Yan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/2188eb391a434aff88ebadc349020bb2
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spelling	oai:doaj.org-article:2188eb391a434aff88ebadc349020bb22021-12-02T15:16:22ZPredicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram10.1038/s41467-020-20429-02041-1723https://doaj.org/article/2188eb391a434aff88ebadc349020bb22021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20429-0https://doaj.org/toc/2041-1723Gastric 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.Dexin ChenZhangyuanzhu LiuWenju LiuMeiting FuWei JiangShuoyu XuGuangxing WangFeng ChenJianping LuHao ChenXiaoyu DongGuoxin LiGang ChenShuangmu ZhuoJun YanNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Jun Yan Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram
description	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.
format	article
author	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 Jun Yan
author_facet	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 Jun Yan
author_sort	Dexin Chen
title	Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram
title_short	Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram
title_full	Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram
title_fullStr	Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram
title_full_unstemmed	Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram
title_sort	predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2188eb391a434aff88ebadc349020bb2
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Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram

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