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High expression of S100A2 predicts poor prognosis in patients with endometrial carcinoma

BACKGROUND: S100A2, a member of the S100 protein family, is abnormally expressed and plays a vital role in multiple cancers. However, little is known about the clinical significance of S100A2 in endometrial carcinoma. METHODS: Clinicopathological data were obtained from The Cancer Genome Atlas (TCGA...

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Autores principales: Zhang, Qinzhen, Xia, Tianxiang, Qi, Chenxiang, Du, Jun, Ye, Chunping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764844/
https://www.ncbi.nlm.nih.gov/pubmed/35042454
http://dx.doi.org/10.1186/s12885-022-09180-5
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author Zhang, Qinzhen
Xia, Tianxiang
Qi, Chenxiang
Du, Jun
Ye, Chunping
author_facet Zhang, Qinzhen
Xia, Tianxiang
Qi, Chenxiang
Du, Jun
Ye, Chunping
author_sort Zhang, Qinzhen
collection PubMed
description BACKGROUND: S100A2, a member of the S100 protein family, is abnormally expressed and plays a vital role in multiple cancers. However, little is known about the clinical significance of S100A2 in endometrial carcinoma. METHODS: Clinicopathological data were obtained from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), Gene Expression Omnibus (GEO), and Clinical Proteomic Tumor Analysis Consortium (CPTAC). First, the expression and prognostic value of different S100 family members in endometrial carcinoma were evaluated. Subsequently, the Kaplan–Meier plotter and Cox regression analysis were used to assess the prognostic significance of S100A2, while the association between S100A2 expression and clinical characteristics in endometrial carcinoma was also analyzed using logistic regression. A receiver operating characteristic (ROC) curve and a nomogram were constructed. The putative underlying cellular mechanisms were explored using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and gene set enrichment analysis (GSEA). RESULTS: Our results revealed that S100A2 expression was significantly higher in endometrial carcinoma tissue than in non-cancerous tissue at both the mRNA and protein levels. Analysis of Kaplan–Meier plotter data revealed that patients with high S100A2 expression had shorter overall survival (OS) and disease specific survival (DSS) compared with those of patients with low S100A2 expression. Multivariate Cox analysis further confirmed that high S100A2 expression was an independent risk factor for OS in patients with endometrial carcinoma. Other clinicopathologic features found to be related to worse prognosis in endometrial carcinoma included age, clinical stage, histologic grade, and tumor invasion. Importantly, ROC analysis also confirmed that S100A2 has a high diagnostic value in endometrial carcinoma. KEGG enrichment analysis and GSEA revealed that the estrogen and IL-17 signaling pathways were significantly upregulated in the high S100A2 expression group, in which estrogen response, JAK-STAT3, K-Ras, and TNFα/NF-κB were differentially enriched. CONCLUSIONS: S100A2 plays an important role in endometrial carcinoma progression and may represent an independent diagnostic and prognostic biomarker for endometrial carcinoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09180-5.
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spelling pubmed-87648442022-01-19 High expression of S100A2 predicts poor prognosis in patients with endometrial carcinoma Zhang, Qinzhen Xia, Tianxiang Qi, Chenxiang Du, Jun Ye, Chunping BMC Cancer Research BACKGROUND: S100A2, a member of the S100 protein family, is abnormally expressed and plays a vital role in multiple cancers. However, little is known about the clinical significance of S100A2 in endometrial carcinoma. METHODS: Clinicopathological data were obtained from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), Gene Expression Omnibus (GEO), and Clinical Proteomic Tumor Analysis Consortium (CPTAC). First, the expression and prognostic value of different S100 family members in endometrial carcinoma were evaluated. Subsequently, the Kaplan–Meier plotter and Cox regression analysis were used to assess the prognostic significance of S100A2, while the association between S100A2 expression and clinical characteristics in endometrial carcinoma was also analyzed using logistic regression. A receiver operating characteristic (ROC) curve and a nomogram were constructed. The putative underlying cellular mechanisms were explored using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and gene set enrichment analysis (GSEA). RESULTS: Our results revealed that S100A2 expression was significantly higher in endometrial carcinoma tissue than in non-cancerous tissue at both the mRNA and protein levels. Analysis of Kaplan–Meier plotter data revealed that patients with high S100A2 expression had shorter overall survival (OS) and disease specific survival (DSS) compared with those of patients with low S100A2 expression. Multivariate Cox analysis further confirmed that high S100A2 expression was an independent risk factor for OS in patients with endometrial carcinoma. Other clinicopathologic features found to be related to worse prognosis in endometrial carcinoma included age, clinical stage, histologic grade, and tumor invasion. Importantly, ROC analysis also confirmed that S100A2 has a high diagnostic value in endometrial carcinoma. KEGG enrichment analysis and GSEA revealed that the estrogen and IL-17 signaling pathways were significantly upregulated in the high S100A2 expression group, in which estrogen response, JAK-STAT3, K-Ras, and TNFα/NF-κB were differentially enriched. CONCLUSIONS: S100A2 plays an important role in endometrial carcinoma progression and may represent an independent diagnostic and prognostic biomarker for endometrial carcinoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09180-5. BioMed Central 2022-01-18 /pmc/articles/PMC8764844/ /pubmed/35042454 http://dx.doi.org/10.1186/s12885-022-09180-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Qinzhen
Xia, Tianxiang
Qi, Chenxiang
Du, Jun
Ye, Chunping
High expression of S100A2 predicts poor prognosis in patients with endometrial carcinoma
title High expression of S100A2 predicts poor prognosis in patients with endometrial carcinoma
title_full High expression of S100A2 predicts poor prognosis in patients with endometrial carcinoma
title_fullStr High expression of S100A2 predicts poor prognosis in patients with endometrial carcinoma
title_full_unstemmed High expression of S100A2 predicts poor prognosis in patients with endometrial carcinoma
title_short High expression of S100A2 predicts poor prognosis in patients with endometrial carcinoma
title_sort high expression of s100a2 predicts poor prognosis in patients with endometrial carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764844/
https://www.ncbi.nlm.nih.gov/pubmed/35042454
http://dx.doi.org/10.1186/s12885-022-09180-5
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