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Development and validation of a prognostic and predictive 32-gene signature for gastric cancer

Authors :
Jae-Ho Cheong
Sam C. Wang
Sunho Park
Matthew R. Porembka
Alana L. Christie
Hyunki Kim
Hyo Song Kim
Hong Zhu
Woo Jin Hyung
Sung Hoon Noh
Bo Hu
Changjin Hong
John D. Karalis
In-Ho Kim
Sung Hak Lee
Tae Hyun Hwang
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

The ability to predict the survival and response to treatment of cancer patients may improve patient care. Here, the authors generate a 32 gene signature that can predict the survival and response to treatment in gastric cancer patients.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.471e0417c3904579a47020eb5e6fd8a8
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-28437-y