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HSP70 Expression Signature in Renal Cell Carcinoma: A Clinical and Bioinformatic Analysis Approach

Heat shock proteins (HSPs) are cytoprotective against stressful conditions, as in the case of cancer cell metabolism. Scientists proposed that HSP70 might be implicated in increased cancer cell survival. This study aimed to investigate the HSP70 (HSPA4) gene expression signature in patients with ren...

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Autores principales: Abd El-Fadeal, Noha M., Ellawindy, Alia, Jeraiby, Mohammed A., Qusti, Safaa Y., Alshammari, Eida M., Alzahrani, Ahmad Khuzaim, Ismail, Ezzat A., Ehab, Ziad, Toraih, Eman A., Fawzy, Manal S., Mohamed, Marwa Hussein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957082/
https://www.ncbi.nlm.nih.gov/pubmed/36833281
http://dx.doi.org/10.3390/genes14020355
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author Abd El-Fadeal, Noha M.
Ellawindy, Alia
Jeraiby, Mohammed A.
Qusti, Safaa Y.
Alshammari, Eida M.
Alzahrani, Ahmad Khuzaim
Ismail, Ezzat A.
Ehab, Ziad
Toraih, Eman A.
Fawzy, Manal S.
Mohamed, Marwa Hussein
author_facet Abd El-Fadeal, Noha M.
Ellawindy, Alia
Jeraiby, Mohammed A.
Qusti, Safaa Y.
Alshammari, Eida M.
Alzahrani, Ahmad Khuzaim
Ismail, Ezzat A.
Ehab, Ziad
Toraih, Eman A.
Fawzy, Manal S.
Mohamed, Marwa Hussein
author_sort Abd El-Fadeal, Noha M.
collection PubMed
description Heat shock proteins (HSPs) are cytoprotective against stressful conditions, as in the case of cancer cell metabolism. Scientists proposed that HSP70 might be implicated in increased cancer cell survival. This study aimed to investigate the HSP70 (HSPA4) gene expression signature in patients with renal cell carcinoma (RCC) in correlation to cancer subtype, stage, grade, and recurrence, combining both clinicopathological and in silico analysis approaches. One hundred and thirty archived formalin-fixed paraffin-embedded samples, including 65 RCC tissue specimens and their paired non-cancerous tissues, were included in the study. Total RNA was extracted from each sample and analyzed using TaqMan quantitative Real-Time Polymerase Chain Reaction. Correlation and validation to the available clinicopathological data and results were executed. Upregulated HSP70 (HSPA4) gene expression was evident in RCC compared to non-cancer tissues in the studied cohort and was validated by in silico analysis. Furthermore, HSP70 expression levels showed significant positive correlations with cancer size, grade, and capsule infiltration, as well as recurrence in RCC patients. The expression levels negatively correlated with the overall survival (r = −0.87, p < 0.001). Kaplan–Meier curves showed lower survival rates in high HSP70 expressor group compared to the low expressors. In conclusion, the HSP70 expression levels are associated with poor RCC prognosis in terms of advanced grade, capsule infiltration, recurrence, and short survival.
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spelling pubmed-99570822023-02-25 HSP70 Expression Signature in Renal Cell Carcinoma: A Clinical and Bioinformatic Analysis Approach Abd El-Fadeal, Noha M. Ellawindy, Alia Jeraiby, Mohammed A. Qusti, Safaa Y. Alshammari, Eida M. Alzahrani, Ahmad Khuzaim Ismail, Ezzat A. Ehab, Ziad Toraih, Eman A. Fawzy, Manal S. Mohamed, Marwa Hussein Genes (Basel) Article Heat shock proteins (HSPs) are cytoprotective against stressful conditions, as in the case of cancer cell metabolism. Scientists proposed that HSP70 might be implicated in increased cancer cell survival. This study aimed to investigate the HSP70 (HSPA4) gene expression signature in patients with renal cell carcinoma (RCC) in correlation to cancer subtype, stage, grade, and recurrence, combining both clinicopathological and in silico analysis approaches. One hundred and thirty archived formalin-fixed paraffin-embedded samples, including 65 RCC tissue specimens and their paired non-cancerous tissues, were included in the study. Total RNA was extracted from each sample and analyzed using TaqMan quantitative Real-Time Polymerase Chain Reaction. Correlation and validation to the available clinicopathological data and results were executed. Upregulated HSP70 (HSPA4) gene expression was evident in RCC compared to non-cancer tissues in the studied cohort and was validated by in silico analysis. Furthermore, HSP70 expression levels showed significant positive correlations with cancer size, grade, and capsule infiltration, as well as recurrence in RCC patients. The expression levels negatively correlated with the overall survival (r = −0.87, p < 0.001). Kaplan–Meier curves showed lower survival rates in high HSP70 expressor group compared to the low expressors. In conclusion, the HSP70 expression levels are associated with poor RCC prognosis in terms of advanced grade, capsule infiltration, recurrence, and short survival. MDPI 2023-01-30 /pmc/articles/PMC9957082/ /pubmed/36833281 http://dx.doi.org/10.3390/genes14020355 Text en © 2023 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
Abd El-Fadeal, Noha M.
Ellawindy, Alia
Jeraiby, Mohammed A.
Qusti, Safaa Y.
Alshammari, Eida M.
Alzahrani, Ahmad Khuzaim
Ismail, Ezzat A.
Ehab, Ziad
Toraih, Eman A.
Fawzy, Manal S.
Mohamed, Marwa Hussein
HSP70 Expression Signature in Renal Cell Carcinoma: A Clinical and Bioinformatic Analysis Approach
title HSP70 Expression Signature in Renal Cell Carcinoma: A Clinical and Bioinformatic Analysis Approach
title_full HSP70 Expression Signature in Renal Cell Carcinoma: A Clinical and Bioinformatic Analysis Approach
title_fullStr HSP70 Expression Signature in Renal Cell Carcinoma: A Clinical and Bioinformatic Analysis Approach
title_full_unstemmed HSP70 Expression Signature in Renal Cell Carcinoma: A Clinical and Bioinformatic Analysis Approach
title_short HSP70 Expression Signature in Renal Cell Carcinoma: A Clinical and Bioinformatic Analysis Approach
title_sort hsp70 expression signature in renal cell carcinoma: a clinical and bioinformatic analysis approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957082/
https://www.ncbi.nlm.nih.gov/pubmed/36833281
http://dx.doi.org/10.3390/genes14020355
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