Editorial: Multi-omics studies on aging and age-related diseases

Through LASSO regression method and Cox regression analysis, three genes GPC3, GPX3 and PRICKLE1 were identified as prognostic risk signatures for overall survival among gastric cancer patients, offering tailored diagnostic and treatment strategies for gastric cancer. In addition to cancers and AD t...

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Bibliographic Details
Published in:Frontiers in cell and developmental biology Vol. 12; p. 1374424
Main Authors: Wang, He-Ping, Basisty, Nathan, Qu, Jia-Hua, Wang, Xiaoman
Format: Journal Article
Language:English
Published: Switzerland Frontiers Media SA 2024
Frontiers Media S.A
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ISSN:2296-634X, 2296-634X
Online Access:Get full text
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Summary:Through LASSO regression method and Cox regression analysis, three genes GPC3, GPX3 and PRICKLE1 were identified as prognostic risk signatures for overall survival among gastric cancer patients, offering tailored diagnostic and treatment strategies for gastric cancer. In addition to cancers and AD that the four articles in this Research Topic focused on, other aging processes and age-related pathologies, such as metabolic syndrome, cardiovascular diseases, frailty and others, also benefit from the development and application of multi-omic techniques (Zheng et al., 2022; Sahu et al., 2023; Zhang et al., 2023). Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Edited and reviewed by: Philipp Kaldis, Lund University, Sweden
These authors have contributed equally to this work
ISSN:2296-634X
2296-634X
DOI:10.3389/fcell.2024.1374424