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Collagen Family and Other Matrix Remodeling Proteins Identified by Bioinformatics Analysis as Hub Genes Involved in Gastric Cancer Progression and Prognosis

Gastric cancer has remained in the top five cancers for over ten years, both in terms of incidence and mortality due to the shortage of biomarkers for disease follow-up and effective therapies. Aiming to fill this gap, we performed a bioinformatics assessment on our data and two additional GEO micro...

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Autores principales: Chivu-Economescu, Mihaela, Necula, Laura G., Matei, Lilia, Dragu, Denisa, Bleotu, Coralia, Sorop, Andrei, Herlea, Vlad, Dima, Simona, Popescu, Irinel, Diaconu, Carmen C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950589/
https://www.ncbi.nlm.nih.gov/pubmed/35328635
http://dx.doi.org/10.3390/ijms23063214
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author Chivu-Economescu, Mihaela
Necula, Laura G.
Matei, Lilia
Dragu, Denisa
Bleotu, Coralia
Sorop, Andrei
Herlea, Vlad
Dima, Simona
Popescu, Irinel
Diaconu, Carmen C.
author_facet Chivu-Economescu, Mihaela
Necula, Laura G.
Matei, Lilia
Dragu, Denisa
Bleotu, Coralia
Sorop, Andrei
Herlea, Vlad
Dima, Simona
Popescu, Irinel
Diaconu, Carmen C.
author_sort Chivu-Economescu, Mihaela
collection PubMed
description Gastric cancer has remained in the top five cancers for over ten years, both in terms of incidence and mortality due to the shortage of biomarkers for disease follow-up and effective therapies. Aiming to fill this gap, we performed a bioinformatics assessment on our data and two additional GEO microarray profiles, followed by a deep analysis of the 40 differentially expressed genes identified. PPI network analysis and MCODE plug-in pointed out nine upregulated hub genes coding for proteins from the collagen family (COL12A1, COL5A2, and COL10A1) or involved in the assembly (BGN) or degradation of collagens (CTHRC1), and also associated with cell adhesion (THBS2 and SPP1) and extracellular matrix degradation (FAP, SULF1). Those genes were highly upregulated at the mRNA and protein level, the increase being correlated with pathological T stages. The high expression of BGN (p = 8 × 10(−12)), THBS2 (p = 1.2 × 10(−6)), CTHRC1 (p = 1.1 × 10(−4)), SULF1 (p = 3.8 × 10(−4)), COL5A1 (p = 1.3 × 10(−4)), COL10A1 (p = 5.7 × 10(−4)), COL12A1 (p = 2 × 10(−3)) correlated with poor overall survival and an immune infiltrate based especially on immunosuppressive M2 macrophages (p-value range 4.82 × 10(−7)–1.63 × 10(−13)). Our results emphasize that these genes could be candidate biomarkers for GC progression and prognosis and new therapeutic targets.
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spelling pubmed-89505892022-03-26 Collagen Family and Other Matrix Remodeling Proteins Identified by Bioinformatics Analysis as Hub Genes Involved in Gastric Cancer Progression and Prognosis Chivu-Economescu, Mihaela Necula, Laura G. Matei, Lilia Dragu, Denisa Bleotu, Coralia Sorop, Andrei Herlea, Vlad Dima, Simona Popescu, Irinel Diaconu, Carmen C. Int J Mol Sci Article Gastric cancer has remained in the top five cancers for over ten years, both in terms of incidence and mortality due to the shortage of biomarkers for disease follow-up and effective therapies. Aiming to fill this gap, we performed a bioinformatics assessment on our data and two additional GEO microarray profiles, followed by a deep analysis of the 40 differentially expressed genes identified. PPI network analysis and MCODE plug-in pointed out nine upregulated hub genes coding for proteins from the collagen family (COL12A1, COL5A2, and COL10A1) or involved in the assembly (BGN) or degradation of collagens (CTHRC1), and also associated with cell adhesion (THBS2 and SPP1) and extracellular matrix degradation (FAP, SULF1). Those genes were highly upregulated at the mRNA and protein level, the increase being correlated with pathological T stages. The high expression of BGN (p = 8 × 10(−12)), THBS2 (p = 1.2 × 10(−6)), CTHRC1 (p = 1.1 × 10(−4)), SULF1 (p = 3.8 × 10(−4)), COL5A1 (p = 1.3 × 10(−4)), COL10A1 (p = 5.7 × 10(−4)), COL12A1 (p = 2 × 10(−3)) correlated with poor overall survival and an immune infiltrate based especially on immunosuppressive M2 macrophages (p-value range 4.82 × 10(−7)–1.63 × 10(−13)). Our results emphasize that these genes could be candidate biomarkers for GC progression and prognosis and new therapeutic targets. MDPI 2022-03-16 /pmc/articles/PMC8950589/ /pubmed/35328635 http://dx.doi.org/10.3390/ijms23063214 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chivu-Economescu, Mihaela
Necula, Laura G.
Matei, Lilia
Dragu, Denisa
Bleotu, Coralia
Sorop, Andrei
Herlea, Vlad
Dima, Simona
Popescu, Irinel
Diaconu, Carmen C.
Collagen Family and Other Matrix Remodeling Proteins Identified by Bioinformatics Analysis as Hub Genes Involved in Gastric Cancer Progression and Prognosis
title Collagen Family and Other Matrix Remodeling Proteins Identified by Bioinformatics Analysis as Hub Genes Involved in Gastric Cancer Progression and Prognosis
title_full Collagen Family and Other Matrix Remodeling Proteins Identified by Bioinformatics Analysis as Hub Genes Involved in Gastric Cancer Progression and Prognosis
title_fullStr Collagen Family and Other Matrix Remodeling Proteins Identified by Bioinformatics Analysis as Hub Genes Involved in Gastric Cancer Progression and Prognosis
title_full_unstemmed Collagen Family and Other Matrix Remodeling Proteins Identified by Bioinformatics Analysis as Hub Genes Involved in Gastric Cancer Progression and Prognosis
title_short Collagen Family and Other Matrix Remodeling Proteins Identified by Bioinformatics Analysis as Hub Genes Involved in Gastric Cancer Progression and Prognosis
title_sort collagen family and other matrix remodeling proteins identified by bioinformatics analysis as hub genes involved in gastric cancer progression and prognosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950589/
https://www.ncbi.nlm.nih.gov/pubmed/35328635
http://dx.doi.org/10.3390/ijms23063214
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