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

Dimitrios E. Magouliotis; Anna P. Karamolegkou; Prokopis-Andreas Zotos; Evangelos Tatsios; Athina A. Samara; Dimitra Alexopoulou; Fani Koutsougianni; Nikos Sakellaridis; Dimitris Zacharoulis; Konstantinos Dimas

doi:10.3390/medicina58111663

Medicina (Nov 2022)

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

Dimitrios E. Magouliotis,
Anna P. Karamolegkou,
Prokopis-Andreas Zotos,
Evangelos Tatsios,
Athina A. Samara,
Dimitra Alexopoulou,
Fani Koutsougianni,
Nikos Sakellaridis,
Dimitris Zacharoulis,
Konstantinos Dimas

Affiliations

Dimitrios E. Magouliotis: Department of Cardiothoracic Surgery, University of Thessaly, Biopolis, 41500 Larissa, Greece
Anna P. Karamolegkou: Department of Surgery, University of Thessaly, Biopolis, 41500 Larissa, Greece
Prokopis-Andreas Zotos: Department of Cardiothoracic Surgery, University of Thessaly, Biopolis, 41500 Larissa, Greece
Evangelos Tatsios: Department of Surgery, University of Thessaly, Biopolis, 41500 Larissa, Greece
Athina A. Samara: Department of Surgery, University of Thessaly, Biopolis, 41500 Larissa, Greece
Dimitra Alexopoulou: Department of Pharmacology, University of Thessaly, Biopolis, 41500 Larissa, Greece
Fani Koutsougianni: Department of Pharmacology, University of Thessaly, Biopolis, 41500 Larissa, Greece
Nikos Sakellaridis: Department of Pharmacology, University of Thessaly, Biopolis, 41500 Larissa, Greece
Dimitris Zacharoulis: Department of Surgery, University of Thessaly, Biopolis, 41500 Larissa, Greece
Konstantinos Dimas: Department of Pharmacology, University of Thessaly, Biopolis, 41500 Larissa, Greece

DOI: https://doi.org/10.3390/medicina58111663
Journal volume & issue: Vol. 58, no. 11
p. 1663

Abstract

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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 p Conclusions: The current findings unveil the biological implications of BCL-xL in PDAC and the related molecular functions and miRNA families.

Published in Medicina

ISSN: 1010-660X (Print); 1648-9144 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Medicine: Medicine (General)
Website: https://www.mdpi.com/journal/medicina

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