Author
Listed:
- Dexin Chen
(Southern Medical University
Jimei University)
- Zhangyuanzhu Liu
(The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine)
- Wenju Liu
(Southern Medical University
Fujian Medical University Cancer Hospital and Fujian Cancer Hospital
Fujian Provincial Cancer Hospital)
- Meiting Fu
(Nanfang Hospital, Southern Medical University)
- Wei Jiang
(Southern Medical University)
- Shuoyu Xu
(Southern Medical University
Sun Yat-sen University Cancer Center)
- Guangxing Wang
(Jimei University
Fujian Normal University)
- Feng Chen
(The Second Affiliated Hospital of Fujian Medical University)
- Jianping Lu
(Fujian Medical University Cancer Hospital and Fujian Cancer Hospital
Fujian Provincial 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
Fujian Provincial Cancer Hospital)
- Shuangmu Zhuo
(Jimei University)
- Jun Yan
(Southern Medical University
Fujian Provincial Cancer Hospital)
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
Suggested Citation
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, 2021.
"Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram,"
Nature Communications, Nature, vol. 12(1), pages 1-11, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20429-0
DOI: 10.1038/s41467-020-20429-0
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20429-0. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.