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

TitleProteins S100A8 and S100A9 are potential biomarkers for renal cell carcinoma in the early stages: Results from a proteomic study integrated with bioinformatics analysis
Authors
KeywordsBioinformatics
Protein S100A8
Protein S100A9
Renal cell carcinoma
Serum biomarker
Issue Date2015
Citation
Molecular Medicine Reports, 2015, v. 11, n. 6, p. 4093-4100 How to Cite?
AbstractIn order to investigate the two members of the EF-hand Ca2+ 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.
Persistent Identifierhttp://hdl.handle.net/10722/314384
ISSN
2023 Impact Factor: 3.4
2023 SCImago Journal Rankings: 0.781
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, Limin-
dc.contributor.authorJiang, Haowen-
dc.contributor.authorXu, Gang-
dc.contributor.authorWen, Hui-
dc.contributor.authorGu, Bin-
dc.contributor.authorLiu, Jun-
dc.contributor.authorMao, Shanghua-
dc.contributor.authorNa, Rong-
dc.contributor.authorJing, Yan-
dc.contributor.authorDing, Qiang-
dc.contributor.authorZhang, Yuanfang-
dc.date.accessioned2022-07-20T12:03:52Z-
dc.date.available2022-07-20T12:03:52Z-
dc.date.issued2015-
dc.identifier.citationMolecular Medicine Reports, 2015, v. 11, n. 6, p. 4093-4100-
dc.identifier.issn1791-2997-
dc.identifier.urihttp://hdl.handle.net/10722/314384-
dc.description.abstractIn order to investigate the two members of the EF-hand Ca2+ 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.-
dc.languageeng-
dc.relation.ispartofMolecular Medicine Reports-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectBioinformatics-
dc.subjectProtein S100A8-
dc.subjectProtein S100A9-
dc.subjectRenal cell carcinoma-
dc.subjectSerum biomarker-
dc.titleProteins S100A8 and S100A9 are potential biomarkers for renal cell carcinoma in the early stages: Results from a proteomic study integrated with bioinformatics analysis-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3892/mmr.2015.3321-
dc.identifier.pmid25673070-
dc.identifier.pmcidPMC4394970-
dc.identifier.scopuseid_2-s2.0-84924690375-
dc.identifier.volume11-
dc.identifier.issue6-
dc.identifier.spage4093-
dc.identifier.epage4100-
dc.identifier.eissn1791-3004-
dc.identifier.isiWOS:000355497100011-

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