GRSF1 predicts an unfavorable prognosis and promotes tumorigenesis in lung adenocarcinoma based on bioinformatics analysis and in vitro validation

BACKGROUND: Effective biomarkers play a critical role in improving clinical approaches to treat lung adenocarcinoma (LUAD). However, many existing biomarkers have limitations due to a lot of factors, requiring the development of additional biomarkers to effectively predict the disease course and pro...

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Detalles Bibliográficos
Autores principales: Huang, Rong, Xu, Lin, Chen, Qichen, Tuersuntuoheti, Amannisa, Su, Luying, Xu, Fu, Bi, Yanqing, Deng, Yiqiao, Song, Wei, Zhao, Hong, Che, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358520/
https://www.ncbi.nlm.nih.gov/pubmed/35957724
http://dx.doi.org/10.21037/atm-22-2798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358520/
https://www.ncbi.nlm.nih.gov/pubmed/35957724
http://dx.doi.org/10.21037/atm-22-2798

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