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PROM1 and PROM2 expression differentially modulates clinical prognosis of cancer: a multiomics analysis

Prominin 1 (PROM1) is considered a biomarker for cancer stem cells, although its biological role is unclear. Prominin 2 (PROM2) has also been associated with certain cancers. However, the prognostic value of PROM1 and PROM2 in cancer is controversial. Here, we performed a systematic data analysis to...

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Autores principales: Saha, Subbroto Kumar, Islam, S. M. Riazul, Kwak, Kyung-Sup, Rahman, Md. Shahedur, Cho, Ssang-Goo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170805/
https://www.ncbi.nlm.nih.gov/pubmed/31164716
http://dx.doi.org/10.1038/s41417-019-0109-7
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author Saha, Subbroto Kumar
Islam, S. M. Riazul
Kwak, Kyung-Sup
Rahman, Md. Shahedur
Cho, Ssang-Goo
author_facet Saha, Subbroto Kumar
Islam, S. M. Riazul
Kwak, Kyung-Sup
Rahman, Md. Shahedur
Cho, Ssang-Goo
author_sort Saha, Subbroto Kumar
collection PubMed
description Prominin 1 (PROM1) is considered a biomarker for cancer stem cells, although its biological role is unclear. Prominin 2 (PROM2) has also been associated with certain cancers. However, the prognostic value of PROM1 and PROM2 in cancer is controversial. Here, we performed a systematic data analysis to examine whether prominins can function as prognostic markers in human cancers. The expression of prominins was assessed and their prognostic value in human cancers was determined using univariate and multivariate survival analyses, via various online platforms. We selected a group of prominent functional protein partners of prominins by protein-protein interaction analysis. Subsequently, we investigated the relationship between mutations and copy number alterations in prominin genes and various types of cancers. Furthermore, we identified genes that correlated with PROM1 and PROM2 in certain cancers, based on their levels of expression. Gene ontology and pathway analyses were performed to assess the effect of these correlated genes on various cancers. We observed that PROM1 was frequently overexpressed in esophageal, liver, and ovarian cancers and its expression was negatively associated with prognosis, whereas PROM2 overexpression was associated with poor overall survival in lung and ovarian cancers. Based on the varying characteristics of prominins, we conclude that PROM1 and PROM2 expression differentially modulates the clinical outcomes of cancers.
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spelling pubmed-71708052020-04-27 PROM1 and PROM2 expression differentially modulates clinical prognosis of cancer: a multiomics analysis Saha, Subbroto Kumar Islam, S. M. Riazul Kwak, Kyung-Sup Rahman, Md. Shahedur Cho, Ssang-Goo Cancer Gene Ther Article Prominin 1 (PROM1) is considered a biomarker for cancer stem cells, although its biological role is unclear. Prominin 2 (PROM2) has also been associated with certain cancers. However, the prognostic value of PROM1 and PROM2 in cancer is controversial. Here, we performed a systematic data analysis to examine whether prominins can function as prognostic markers in human cancers. The expression of prominins was assessed and their prognostic value in human cancers was determined using univariate and multivariate survival analyses, via various online platforms. We selected a group of prominent functional protein partners of prominins by protein-protein interaction analysis. Subsequently, we investigated the relationship between mutations and copy number alterations in prominin genes and various types of cancers. Furthermore, we identified genes that correlated with PROM1 and PROM2 in certain cancers, based on their levels of expression. Gene ontology and pathway analyses were performed to assess the effect of these correlated genes on various cancers. We observed that PROM1 was frequently overexpressed in esophageal, liver, and ovarian cancers and its expression was negatively associated with prognosis, whereas PROM2 overexpression was associated with poor overall survival in lung and ovarian cancers. Based on the varying characteristics of prominins, we conclude that PROM1 and PROM2 expression differentially modulates the clinical outcomes of cancers. Nature Publishing Group US 2019-06-05 2020 /pmc/articles/PMC7170805/ /pubmed/31164716 http://dx.doi.org/10.1038/s41417-019-0109-7 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Saha, Subbroto Kumar
Islam, S. M. Riazul
Kwak, Kyung-Sup
Rahman, Md. Shahedur
Cho, Ssang-Goo
PROM1 and PROM2 expression differentially modulates clinical prognosis of cancer: a multiomics analysis
title PROM1 and PROM2 expression differentially modulates clinical prognosis of cancer: a multiomics analysis
title_full PROM1 and PROM2 expression differentially modulates clinical prognosis of cancer: a multiomics analysis
title_fullStr PROM1 and PROM2 expression differentially modulates clinical prognosis of cancer: a multiomics analysis
title_full_unstemmed PROM1 and PROM2 expression differentially modulates clinical prognosis of cancer: a multiomics analysis
title_short PROM1 and PROM2 expression differentially modulates clinical prognosis of cancer: a multiomics analysis
title_sort prom1 and prom2 expression differentially modulates clinical prognosis of cancer: a multiomics analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170805/
https://www.ncbi.nlm.nih.gov/pubmed/31164716
http://dx.doi.org/10.1038/s41417-019-0109-7
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