Bioinformatic Analysis of the BCL-xL/BCL2L1 Interactome in Patients with Pancreatic Cancer.
Medicina (Kaunas)
; 58(11)2022 Nov 17.
Article
em En
| MEDLINE
| ID: mdl-36422202
ABSTRACT
Objectives:
The aim of the present study was to analyze the differential gene expression of BCL-xL/BCL2L and the associated genetic, molecular, and biologic functions in pancreatic ductal adenocarcinoma (PDAC) by employing advanced bioinformatics to investigate potential candidate genes implicated in the pathogenesis of PDAC. Materials andMethods:
Bioinformatic techniques were employed to build the gene network of BCL-xL, to assess the translational profile of BCL-xL in PDAC, assess its role in predicting PDAC, and investigate the associated biologic functions and the regulating miRNA families.Results:
Microarray data extracted from one dataset was incorporated, including 130 samples (PDAC 69; Control 61). In addition, the expression level of BCL-xL was higher in PDAC compared to control samples (p < 0.001). Furthermore, BCL-xL demonstrated excellent discrimination (AUC 0.83 [95% Confidence Intervals 0.76, 0.90]; p < 0.001) and calibration (R squared 0.31) traits for PDAC. A gene set enrichment analysis (GSEA) demonstrated the molecular functions and miRNA families (hsa-miR-4804-5p, hsa-miR-4776-5p, hsa-miR-6770-3p, hsa-miR-3619-3p, and hsa-miR-7152-3p) related to BCL-xL.Conclusions:
The current findings unveil the biological implications of BCL-xL in PDAC and the related molecular functions and miRNA families.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Pancreáticas
/
MicroRNAs
/
Proteína bcl-X
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Medicina (Kaunas)
Assunto da revista:
MEDICINA
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Grécia