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High Expression of Heat Shock Protein Family D Member 1 Predicts Poor Prognosis of Esophageal Cancer

BACKGROUND: Heat shock protein family D (Hsp60) member 1 (HSPD1) has been reported as a potential survival-related biomarker in some cancers. However, the correlation between HSPD1 expression with prognosis and clinical features of esophageal cancer (EC) is poorly understood. Our research aimed to e...

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Autores principales: Lv, Jing, Wang, Xian Wei, Sun, Xiao Kang, Yang, Jun Rong, Chen, Pei Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elmer Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365666/
https://www.ncbi.nlm.nih.gov/pubmed/35974809
http://dx.doi.org/10.14740/jocmr4424
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author Lv, Jing
Wang, Xian Wei
Sun, Xiao Kang
Yang, Jun Rong
Chen, Pei Rui
author_facet Lv, Jing
Wang, Xian Wei
Sun, Xiao Kang
Yang, Jun Rong
Chen, Pei Rui
author_sort Lv, Jing
collection PubMed
description BACKGROUND: Heat shock protein family D (Hsp60) member 1 (HSPD1) has been reported as a potential survival-related biomarker in some cancers. However, the correlation between HSPD1 expression with prognosis and clinical features of esophageal cancer (EC) is poorly understood. Our research aimed to explore the clinical and prognostic significance of HSPD1 expression in EC patients. METHODS: In our study, HSPD1 expression was detected by immunochemistry in 87 EC tissue specimens and 20 normal cancerous peripheral tissue specimens. Meanwhile, we also analyzed the expression of HSPD1 in EC by The Cancer Genome Atlas (TCGA) database. Then Chi-squared and Fisher’s exact tests and Wilcoxon signed-rank test and logistic regression models were separately used to test the correlation between clinical characteristics and HSPD1 expression in our and TCGA cohort. Moreover, we evaluated the value of HSPD1 in prognosis by Kaplan-Meier curves and Cox analysis. Finally, gene set enrichment analysis (GSEA) was performed using the data accessed from TCGA. RESULTS: The results showed that HSPD1 was overexpressed in EC, and the expression was related to histological type, histological grade, N classification, and clinical stage. Moreover, Kaplan-Meier curves and Cox analysis indicated that high expression of HSPD1 correlated with poor prognosis, and HSPD1 was an independent risk factor for EC. GSEA identified pathways involved in cysteine and methionine metabolism, spliceosome, selenoamino acid metabolism, mismatch repair, RNA degration, DNA replication, and cell cycle as differentially enriched in ECs with high HSPD1 expression. CONCLUSIONS: Our results suggest that HSPD1 is expressed at high levels in EC, and has potential to be used as a novel biomarker for the prognosis of patients with EC.
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spelling pubmed-93656662022-08-15 High Expression of Heat Shock Protein Family D Member 1 Predicts Poor Prognosis of Esophageal Cancer Lv, Jing Wang, Xian Wei Sun, Xiao Kang Yang, Jun Rong Chen, Pei Rui J Clin Med Res Original Article BACKGROUND: Heat shock protein family D (Hsp60) member 1 (HSPD1) has been reported as a potential survival-related biomarker in some cancers. However, the correlation between HSPD1 expression with prognosis and clinical features of esophageal cancer (EC) is poorly understood. Our research aimed to explore the clinical and prognostic significance of HSPD1 expression in EC patients. METHODS: In our study, HSPD1 expression was detected by immunochemistry in 87 EC tissue specimens and 20 normal cancerous peripheral tissue specimens. Meanwhile, we also analyzed the expression of HSPD1 in EC by The Cancer Genome Atlas (TCGA) database. Then Chi-squared and Fisher’s exact tests and Wilcoxon signed-rank test and logistic regression models were separately used to test the correlation between clinical characteristics and HSPD1 expression in our and TCGA cohort. Moreover, we evaluated the value of HSPD1 in prognosis by Kaplan-Meier curves and Cox analysis. Finally, gene set enrichment analysis (GSEA) was performed using the data accessed from TCGA. RESULTS: The results showed that HSPD1 was overexpressed in EC, and the expression was related to histological type, histological grade, N classification, and clinical stage. Moreover, Kaplan-Meier curves and Cox analysis indicated that high expression of HSPD1 correlated with poor prognosis, and HSPD1 was an independent risk factor for EC. GSEA identified pathways involved in cysteine and methionine metabolism, spliceosome, selenoamino acid metabolism, mismatch repair, RNA degration, DNA replication, and cell cycle as differentially enriched in ECs with high HSPD1 expression. CONCLUSIONS: Our results suggest that HSPD1 is expressed at high levels in EC, and has potential to be used as a novel biomarker for the prognosis of patients with EC. Elmer Press 2022-07 2022-07-29 /pmc/articles/PMC9365666/ /pubmed/35974809 http://dx.doi.org/10.14740/jocmr4424 Text en Copyright 2022, Lv et al. https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Non-Commercial 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lv, Jing
Wang, Xian Wei
Sun, Xiao Kang
Yang, Jun Rong
Chen, Pei Rui
High Expression of Heat Shock Protein Family D Member 1 Predicts Poor Prognosis of Esophageal Cancer
title High Expression of Heat Shock Protein Family D Member 1 Predicts Poor Prognosis of Esophageal Cancer
title_full High Expression of Heat Shock Protein Family D Member 1 Predicts Poor Prognosis of Esophageal Cancer
title_fullStr High Expression of Heat Shock Protein Family D Member 1 Predicts Poor Prognosis of Esophageal Cancer
title_full_unstemmed High Expression of Heat Shock Protein Family D Member 1 Predicts Poor Prognosis of Esophageal Cancer
title_short High Expression of Heat Shock Protein Family D Member 1 Predicts Poor Prognosis of Esophageal Cancer
title_sort high expression of heat shock protein family d member 1 predicts poor prognosis of esophageal cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365666/
https://www.ncbi.nlm.nih.gov/pubmed/35974809
http://dx.doi.org/10.14740/jocmr4424
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