Bioinformatic Analysis of the BCL-xL/BCL2L1 Interactome in Patients with Pancreatic Cancer

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 and Methods: 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.

Expression, prognostic value and mechanism of SP100 family in pancreatic adenocarcinoma

“…Notably, our study unraveled a remarkable diagnostic potential of SP100 family members, with superior area under the curve (AUC) values in distinguishing normal pancreatic tissues from PAAD tissues. In fact, our minimum AUC value of 0.913 surpassed the maximum AUC values reported in previous studies examining biomarkers for PAAD diagnosis and prognosis [ 38 , 39 ]. This underscores the exceptional discriminatory and calibration characteristics offered by the SP100 family.…”

Pengaturan MicroRNA pada Penuaan dan Kanker

“…Wawasan tentang mekanisme komprehensif ekspresi miRNA dengan ekspresi genom secara luas dan prediksi targetnya diperoleh berdasarkan analisis in silico dengan bioinformatika, uji in vitro, dan in vivo pada berbagai kanker. Dengan demikian telah diidentifikasi bahwa mekanisme utama miRNA dan fungsi pengaturannya terhadap kanker tertentu bervariasi yaitu dapat berperan dalam proliferasi sel, diferensiasi, metastasis, angiogenesis dan sebagai onco-miRNA maupun penekan tumor (31).…”