Details

Autor(en) / Beteiligte

• Abbas Raza, Sayed Haidar
• Zhong, Ruimin
• Xing, Shen
• Yu, Xiaoting
• Chengcheng, Liang
• Zan, Linsen
• Schreurs, Nicola M.
• Pant, Sameer D.
• Lei, Hongtao

Titel

Based on the Cancer Genome Atlas Database Development of a prognostic model of RNA binding protein in stomach adenocarcinoma

Ist Teil von

• Computers in biology and medicine, 2023-09, Vol.164, p.107307-107307, Article 107307

Ort / Verlag

United States: Elsevier Ltd

Erscheinungsjahr

2023

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The purpose of this study was to identify potential RNA binding proteins associated with the survival of gastric adenocarcinoma, as well as the corresponding biological characteristics and signaling pathways of these RNA binding proteins. RNA sequencing and clinical data were obtained from the cancer genome map (N = 32, T = 375) and the comprehensive gene expression database (GSE84437, N = 433). The samples in The Cancer Genome Atlas were randomly divided into a development group and a test group. A total of 1495 RNA binding protein related genes were extracted. Using nonparametric tests to analyze the difference of RNA binding protein related genes, 296 differential RNA binding proteins were obtained, 166 were up-regulated and 130 were down regulated. Twenty prognosis-related RNA binding proteins were screened using Cox regression, including 14 high-risk genes (hazard ratio > 1.0) and 6 low-risk genes (hazard ratio < 1.0). Seven RNA binding protein related genes were screened from the final prognostic model and used to construct a new prognostic model. Using the development group and test group, the model was verified with survival analysis, receiver operating characteristics curves and prognosis analysis curves. A prediction nomogram was finally developed and showed good prediction performance. •Revealing potential RBPs associated with stomach adenocarcinoma survival.•Analysis of differences in RBP-related genes using non-parametric tests yielded 296 differential RBPs.•Screening of 7 prognosis-associated RBPs by Cox regression analysis.•Survival analysis, receiver operating characteristic (ROC) curve and prognostic analysis curve for model validation.