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Proteins S100A8 and S100A9 are potential biomarkers for renal cell carcinoma in the early stages: Results from a proteomic study integrated with bioinformatics analysis

In order to investigate the two members of the EF-hand Ca(2+) binding protein S100 family, S100A8 and S100A9, in renal cell carcinoma (RCC), serum samples were collected from patients with RCC, transitional cell carcinoma in the kidney, benign renal masses and normal controls. The samples were analy...

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Autores principales: ZHANG, LIMIN, JIANG, HAOWEN, XU, GANG, WEN, HUI, GU, BIN, LIU, JUN, MAO, SHANGHUA, NA, RONG, JING, YAN, DING, QIANG, ZHANG, YUANFANG
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4394970/
https://www.ncbi.nlm.nih.gov/pubmed/25673070
http://dx.doi.org/10.3892/mmr.2015.3321
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author ZHANG, LIMIN
JIANG, HAOWEN
XU, GANG
WEN, HUI
GU, BIN
LIU, JUN
MAO, SHANGHUA
NA, RONG
JING, YAN
DING, QIANG
ZHANG, YUANFANG
author_facet ZHANG, LIMIN
JIANG, HAOWEN
XU, GANG
WEN, HUI
GU, BIN
LIU, JUN
MAO, SHANGHUA
NA, RONG
JING, YAN
DING, QIANG
ZHANG, YUANFANG
author_sort ZHANG, LIMIN
collection PubMed
description In order to investigate the two members of the EF-hand Ca(2+) binding protein S100 family, S100A8 and S100A9, in renal cell carcinoma (RCC), serum samples were collected from patients with RCC, transitional cell carcinoma in the kidney, benign renal masses and normal controls. The samples were analyzed by isobaric tags for relative and absolute quantification technology to identify the differential expression of S100A8 and S100A9 in the respective groups. Hierarchical clustering analysis was then conducted for the samples and the relevant selected gene. The cross-platform analysis for the external validation was performed by means of The Cancer Genome Atlas database, containing the gene/microRNA expression pattern and clinical information of patients with RCC. Immunohistochemical staining was used to verify the expression of S100A8 and S100A9 in the four groups. As a result, serum and mRNA expression levels of S100A8 and S100A9 were found to be upregulated in patients with RCC compared with the other three groups, which was consistent with the result of the upregulated expression of mRNA levels in RCC tissue. The overexpression of S100A8 and S100A9 in cancer cells was also confirmed by immunohistochemistry. In addition, bioinformatics revealed that let-7, a microRNA formerly identified as an inhibiting factor of RCC was downregulated in RCC, which contrasted with S100A8. It was also complementary to the sequence at the 3′ untranslated region terminal of S100A8. Therefore, indicating that S100A8 and S100A9 may serve as biomarkers for the detection of RCC.
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spelling pubmed-43949702015-04-17 Proteins S100A8 and S100A9 are potential biomarkers for renal cell carcinoma in the early stages: Results from a proteomic study integrated with bioinformatics analysis ZHANG, LIMIN JIANG, HAOWEN XU, GANG WEN, HUI GU, BIN LIU, JUN MAO, SHANGHUA NA, RONG JING, YAN DING, QIANG ZHANG, YUANFANG Mol Med Rep Articles In order to investigate the two members of the EF-hand Ca(2+) binding protein S100 family, S100A8 and S100A9, in renal cell carcinoma (RCC), serum samples were collected from patients with RCC, transitional cell carcinoma in the kidney, benign renal masses and normal controls. The samples were analyzed by isobaric tags for relative and absolute quantification technology to identify the differential expression of S100A8 and S100A9 in the respective groups. Hierarchical clustering analysis was then conducted for the samples and the relevant selected gene. The cross-platform analysis for the external validation was performed by means of The Cancer Genome Atlas database, containing the gene/microRNA expression pattern and clinical information of patients with RCC. Immunohistochemical staining was used to verify the expression of S100A8 and S100A9 in the four groups. As a result, serum and mRNA expression levels of S100A8 and S100A9 were found to be upregulated in patients with RCC compared with the other three groups, which was consistent with the result of the upregulated expression of mRNA levels in RCC tissue. The overexpression of S100A8 and S100A9 in cancer cells was also confirmed by immunohistochemistry. In addition, bioinformatics revealed that let-7, a microRNA formerly identified as an inhibiting factor of RCC was downregulated in RCC, which contrasted with S100A8. It was also complementary to the sequence at the 3′ untranslated region terminal of S100A8. Therefore, indicating that S100A8 and S100A9 may serve as biomarkers for the detection of RCC. D.A. Spandidos 2015-06 2015-02-09 /pmc/articles/PMC4394970/ /pubmed/25673070 http://dx.doi.org/10.3892/mmr.2015.3321 Text en Copyright © 2015, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.
spellingShingle Articles
ZHANG, LIMIN
JIANG, HAOWEN
XU, GANG
WEN, HUI
GU, BIN
LIU, JUN
MAO, SHANGHUA
NA, RONG
JING, YAN
DING, QIANG
ZHANG, YUANFANG
Proteins S100A8 and S100A9 are potential biomarkers for renal cell carcinoma in the early stages: Results from a proteomic study integrated with bioinformatics analysis
title Proteins S100A8 and S100A9 are potential biomarkers for renal cell carcinoma in the early stages: Results from a proteomic study integrated with bioinformatics analysis
title_full Proteins S100A8 and S100A9 are potential biomarkers for renal cell carcinoma in the early stages: Results from a proteomic study integrated with bioinformatics analysis
title_fullStr Proteins S100A8 and S100A9 are potential biomarkers for renal cell carcinoma in the early stages: Results from a proteomic study integrated with bioinformatics analysis
title_full_unstemmed Proteins S100A8 and S100A9 are potential biomarkers for renal cell carcinoma in the early stages: Results from a proteomic study integrated with bioinformatics analysis
title_short Proteins S100A8 and S100A9 are potential biomarkers for renal cell carcinoma in the early stages: Results from a proteomic study integrated with bioinformatics analysis
title_sort proteins s100a8 and s100a9 are potential biomarkers for renal cell carcinoma in the early stages: results from a proteomic study integrated with bioinformatics analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4394970/
https://www.ncbi.nlm.nih.gov/pubmed/25673070
http://dx.doi.org/10.3892/mmr.2015.3321
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