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

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收录情况： ◇ SCIE ◇ 自然指数

作者：
Dexin Chen[1,2] * ; Zhangyuanzhu Liu[3] * ; Wenju Liu[1,4,5] * ; Meiting Fu[6] * ; Wei Jiang[1] ; Shuoyu Xu[1,7] ; Guangxing Wang[2,8] ; Feng Chen[9] ; Jianping Lu[4,5] ; Hao Chen[1] ; Xiaoyu Dong[1] ; Guoxin Li[1] ; Gang Chen[4,5] ; Shuangmu Zhuo[2] ; Jun Yan[1,5] ;
机构： [1]Department of General Surgery, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China [2]School ofScience, Jimei University, Xiamen 361021 Fujian, China [3]Department of Hepatobiliary and Pancreatic Surgery, Guangdong Provincial Hospital of TraditionalChinese Medicine, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou 510120, China [4]Department ofPathology, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, Fuzhou 350014, China [5]Precision Medicine Center, Fujian ProvincialCancer Hospital, Fuzhou 350014, China [6]Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China [7]Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China [8]Key Laboratory of OptoElectronic Science and Technologyfor Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, China [9]Department of Oncological Surgery, The Second Affiliated Hospitalof Fujian Medical University, Quanzhou 362000, China
出处：
DOI： 10.1038/s41467-020-20429-0
ISSN：

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. © 2021, The Author(s).

基金：
This work was supported by grants from the National Natural Science Foundation of China (81773117 and 81771881), the State’s Key Project of Research and Development Plan (2017YFC0108300, 2017YFC0108302 and 2019YFE0113700), the Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer (2020B121201004), the China Postdoctoral Science Foundation (2020M682789), the Special Fund for Guangdong Province Public Research and Capacity Building (2014B020215002), the Natural Science Foundation of Guangdong Province (2015A030308006), the Natural Science Foundation of Fujian Province (2018J07004), the Joint Funds of Fujian Provincial Health and Education Research (2019-WJ-21), the Science and Technology Program of Fujian Province (2018Y2003, 2019L3018 and 2019YZ016006), the Guangzhou Industry University Research Cooperative Innovation Major Project (201704020062), the Clinical Research Startup Program of Southern Medical University by High-level University Construction Funding of Guangdong Provincial Department of Education (LC2016PY010), the Scientific Research Foundation for High-Level Talents in Nanfang Hospital of Southern Medical University (201404280056), the Clinical Research Project of Nanfang Hospital (2018CR034, 2020CR001, and 2020CR011), the President Funding of Nanfang Hospital (2019Z023), and the Training Program for Undergraduate Innovation and Entrepreneurship (201912121008, 202012121091 and 202012121277).
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外文
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中科院(CAS)分区：
出版当年[2020]版：
大类 | 1 区 综合性期刊
小类 | 1 区 综合性期刊
最新[2025]版：
大类 | 1 区 综合性期刊
小类 | 1 区 综合性期刊
JCR分区：
出版当年[2019]版：
Q1 MULTIDISCIPLINARY SCIENCES
最新[2023]版：
Q1 MULTIDISCIPLINARY SCIENCES

影响因子： 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

第一作者：
第一作者机构： [1]Department of General Surgery, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China [2]School ofScience, Jimei University, Xiamen 361021 Fujian, China
共同第一作者：
通讯作者：
通讯机构： [1]Department of General Surgery, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China [4]Department ofPathology, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, Fuzhou 350014, China [5]Precision Medicine Center, Fujian ProvincialCancer Hospital, Fuzhou 350014, China
推荐引用方式(GB/T 7714)：
Dexin Chen,Zhangyuanzhu Liu,Wenju Liu,et al.Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram[J].NATURE COMMUNICATIONS.2021,12(1):doi:10.1038/s41467-020-20429-0.
APA：
Dexin Chen,Zhangyuanzhu Liu,Wenju Liu,Meiting Fu,Wei Jiang...&Jun Yan.(2021).Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram.NATURE COMMUNICATIONS,12,(1)
MLA：
Dexin Chen,et al."Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram".NATURE COMMUNICATIONS 12..1(2021)

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