TY - JOUR

T1 - In Silico Transcriptomic Analysis of Wound-Healing-Associated Genes in Malignant Pleural Mesothelioma

AU - Rouka, Erasmia

AU - Beltsios, Eleftherios

AU - Goundaroulis, Dimos

AU - Vavougios, Georgios D.

AU - Solenov, Evgeniy I.

AU - Hatzoglou, Chrissi

AU - Gourgoulianis, Konstantinos I.

AU - Zarogiannis, Sotirios G.

PY - 2019/6/12

Y1 - 2019/6/12

N2 - Background and objectives: Malignant pleural mesothelioma (MPM) is a devastating malignancy with poor prognosis. Reliable biomarkers for MPM diagnosis, monitoring, and prognosis are needed. The aim of this study was to identify genes associated with wound healing processes whose expression could serve as a prognostic factor in MPM patients. Materials and Methods: We used data mining techniques and transcriptomic analysis so as to assess the differential transcriptional expression of wound-healing-associated genes in MPM. Moreover, we investigated the potential prognostic value as well as the functional enrichments of gene ontologies relative to microRNAs (miRNAs) of the significantly differentially expressed wound-healing-related genes in MPM. Results: Out of the 82 wound-healing-associated genes analyzed, 30 were found significantly deregulated in MPM. Kaplan-Meier analysis revealed that low ITGAV gene expression could serve as a prognostic factor favoring survival of MPM patients. Finally, gene ontology annotation enrichment analysis pointed to the members of the hsa-miR-143, hsa-miR-223, and the hsa-miR-29 miRNA family members as important regulators of the deregulated wound healing genes. Conclusions: 30 wound-healing-related genes were significantly deregulated in MPM, which are potential targets of hsa-miR-143, hsa-miR-223, and the hsa-miR-29 miRNA family members. Out of those genes, ITGAV gene expression was a prognostic factor of overall survival in MPM. Our results highlight the role of impaired tissue repair in MPM development and should be further validated experimentally.

AB - Background and objectives: Malignant pleural mesothelioma (MPM) is a devastating malignancy with poor prognosis. Reliable biomarkers for MPM diagnosis, monitoring, and prognosis are needed. The aim of this study was to identify genes associated with wound healing processes whose expression could serve as a prognostic factor in MPM patients. Materials and Methods: We used data mining techniques and transcriptomic analysis so as to assess the differential transcriptional expression of wound-healing-associated genes in MPM. Moreover, we investigated the potential prognostic value as well as the functional enrichments of gene ontologies relative to microRNAs (miRNAs) of the significantly differentially expressed wound-healing-related genes in MPM. Results: Out of the 82 wound-healing-associated genes analyzed, 30 were found significantly deregulated in MPM. Kaplan-Meier analysis revealed that low ITGAV gene expression could serve as a prognostic factor favoring survival of MPM patients. Finally, gene ontology annotation enrichment analysis pointed to the members of the hsa-miR-143, hsa-miR-223, and the hsa-miR-29 miRNA family members as important regulators of the deregulated wound healing genes. Conclusions: 30 wound-healing-related genes were significantly deregulated in MPM, which are potential targets of hsa-miR-143, hsa-miR-223, and the hsa-miR-29 miRNA family members. Out of those genes, ITGAV gene expression was a prognostic factor of overall survival in MPM. Our results highlight the role of impaired tissue repair in MPM development and should be further validated experimentally.

KW - in silico

KW - malignant pleural mesothelioma

KW - miRNA

KW - transcriptomics

KW - wound healing

KW - Wound healing

KW - Transcriptomics

KW - In silico

KW - Malignant pleural mesothelioma

KW - SURVIVAL

KW - METASTASIS

KW - TUMOR SUPPRESSORS

KW - BIOMARKERS

KW - EPITHELIAL-MESENCHYMAL TRANSITION

KW - CARCINOGENESIS

KW - INFLAMMATION

KW - EXTRACELLULAR-MATRIX

KW - EXPRESSION

KW - ASBESTOS

UR - http://www.scopus.com/inward/record.url?scp=85068447444&partnerID=8YFLogxK

U2 - 10.3390/medicina55060267

DO - 10.3390/medicina55060267

M3 - Article

C2 - 31212858

AN - SCOPUS:85068447444

VL - 55

JO - Medicina

JF - Medicina

SN - 1010-660X

IS - 6

M1 - 267

ER -