Establishment of a prognostic model toward lung squamous cell carcinoma based on m<sup>7</sup>G-related genes in the cancer genome atlas-Reference-Cited by-同舟云学术

Establishment of a prognostic model toward lung squamous cell carcinoma based on m⁷G-related genes in the cancer genome atlas

Published:2023-10-01 Issue:10 Volume:55 Page:427-439
ISSN:1094-8341
Container-title:Physiological Genomics
language:en
Short-container-title:Physiological Genomics

Author:

Wang Yongheng¹^ORCID,Liu Yimin¹,Wang Rui¹,Cao Fuyuan¹,Guan Yi¹,Chen Yulu¹,An Binbin¹,Qin Sisi¹,Yao Sanqiao¹²^ORCID

Affiliation:

1. School of Public Health, North China University of Science and Technology, Tangshan, People’s Republic of China

2. School of Public Health, Xinxiang Medical University, Xinxiang, People’s Republic of China

Abstract

Based on the differential expression of 7-methylguanosine (m7G) modification-associated genes between normal and lung squamous cell carcinoma (LUSC) tissues, and considering the performance of our m7G-related gene risk profiles as independent risk factors in predicting overall survival, we conclude that m7G modification is closely linked to the development of LUSC. In addition, this study offers a new genetic marker for predicting the prognosis of patients with LUSC and presents a crucial theoretical foundation for future investigations on the relationship between m7G modification-related genes, immunity, and drug sensitivity in LUSC.

Funder

MOST | National Natural Science Foundation of China

Publisher

American Physiological Society

Subject

Genetics,Physiology

Link

https://journals.physiology.org/doi/pdf/10.1152/physiolgenomics.00149.2022

Reference46 articles.

1. Clinical roles of the aberrantly expressed lncRNAs in lung squamous cell carcinoma: a study based on RNA-sequencing and microarray data mining

2. Global cancer statistics, 2012

3. MicroRNAs: a new key in lung cancer

4. Proteomic biomarkers in lung cancer