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Downregulated expression of ARHGAP10 correlates with advanced stage and high Ki-67 index in breast cancer

BACKGROUND: Rho GTPase-activating protein 10 (ARHGAP10), which catalyzes the conversion of active Rho GTPase to the inactive form, is downregulated in some cancers. However, little is known about ARHGAP10 in breast cancer. METHODS: The transcriptional expression level of ARHGAP10 in breast cancer wa...

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Autores principales: Li, Yujing, Zeng, Beilei, Li, Yunhai, Zhang, Chong, Ren, Guosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679923/
https://www.ncbi.nlm.nih.gov/pubmed/31396458
http://dx.doi.org/10.7717/peerj.7431
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author Li, Yujing
Zeng, Beilei
Li, Yunhai
Zhang, Chong
Ren, Guosheng
author_facet Li, Yujing
Zeng, Beilei
Li, Yunhai
Zhang, Chong
Ren, Guosheng
author_sort Li, Yujing
collection PubMed
description BACKGROUND: Rho GTPase-activating protein 10 (ARHGAP10), which catalyzes the conversion of active Rho GTPase to the inactive form, is downregulated in some cancers. However, little is known about ARHGAP10 in breast cancer. METHODS: The transcriptional expression level of ARHGAP10 in breast cancer was analyzed with the data downloaded from The Cancer Genome Atlas (TCGA) and Oncomine, then verified by reverse-transcription quantitative polymerase chain reaction (RT-qPCR) in 30 pairs of breast cancer tissues and the corresponding adjacent normal tissues. ARHGAP10 protein expression was examined by immunohistochemistry (IHC) in 190 breast cancer and 30 corresponding adjacent normal breast tissue samples. The associations between ARHGAP10 expression and clinicopathological characteristics of patients were analyzed, and Kaplan–Meier Plotter was used to assess the relationship between ARHGAP10 and relapse-free survival (RFS). Different expression levels of ARHGAP10 in response to chemotherapy agents were determined by GEO2R online tool. The potential biological functions of ARHGAP10 were analyzed by Gene Set Enrichment Analysis (GSEA) using data downloaded from TCGA. RESULTS: ARHGAP10 mRNA and protein expression was lower in breast cancer tissues than in adjacent normal tissues. Low expression of ARHGAP10 was associated with advanced clinical TNM (cTNM) stage (p(b) = 0.001) and high Ki-67 index (p = 0.015). Low expression of ARHGAP10 indicated worse RFS (p = 0.0015) and a poor response to chemotherapy (p = 0.006). GSEA results showed that ARHGAP10 was involved in signaling pathways including protein export, nucleotide excision repair, base excision repair, focal adhesion, JAK-STAT pathway and the actin cytoskeleton.
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spelling pubmed-66799232019-08-08 Downregulated expression of ARHGAP10 correlates with advanced stage and high Ki-67 index in breast cancer Li, Yujing Zeng, Beilei Li, Yunhai Zhang, Chong Ren, Guosheng PeerJ Bioinformatics BACKGROUND: Rho GTPase-activating protein 10 (ARHGAP10), which catalyzes the conversion of active Rho GTPase to the inactive form, is downregulated in some cancers. However, little is known about ARHGAP10 in breast cancer. METHODS: The transcriptional expression level of ARHGAP10 in breast cancer was analyzed with the data downloaded from The Cancer Genome Atlas (TCGA) and Oncomine, then verified by reverse-transcription quantitative polymerase chain reaction (RT-qPCR) in 30 pairs of breast cancer tissues and the corresponding adjacent normal tissues. ARHGAP10 protein expression was examined by immunohistochemistry (IHC) in 190 breast cancer and 30 corresponding adjacent normal breast tissue samples. The associations between ARHGAP10 expression and clinicopathological characteristics of patients were analyzed, and Kaplan–Meier Plotter was used to assess the relationship between ARHGAP10 and relapse-free survival (RFS). Different expression levels of ARHGAP10 in response to chemotherapy agents were determined by GEO2R online tool. The potential biological functions of ARHGAP10 were analyzed by Gene Set Enrichment Analysis (GSEA) using data downloaded from TCGA. RESULTS: ARHGAP10 mRNA and protein expression was lower in breast cancer tissues than in adjacent normal tissues. Low expression of ARHGAP10 was associated with advanced clinical TNM (cTNM) stage (p(b) = 0.001) and high Ki-67 index (p = 0.015). Low expression of ARHGAP10 indicated worse RFS (p = 0.0015) and a poor response to chemotherapy (p = 0.006). GSEA results showed that ARHGAP10 was involved in signaling pathways including protein export, nucleotide excision repair, base excision repair, focal adhesion, JAK-STAT pathway and the actin cytoskeleton. PeerJ Inc. 2019-08-01 /pmc/articles/PMC6679923/ /pubmed/31396458 http://dx.doi.org/10.7717/peerj.7431 Text en ©2019 Li et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Li, Yujing
Zeng, Beilei
Li, Yunhai
Zhang, Chong
Ren, Guosheng
Downregulated expression of ARHGAP10 correlates with advanced stage and high Ki-67 index in breast cancer
title Downregulated expression of ARHGAP10 correlates with advanced stage and high Ki-67 index in breast cancer
title_full Downregulated expression of ARHGAP10 correlates with advanced stage and high Ki-67 index in breast cancer
title_fullStr Downregulated expression of ARHGAP10 correlates with advanced stage and high Ki-67 index in breast cancer
title_full_unstemmed Downregulated expression of ARHGAP10 correlates with advanced stage and high Ki-67 index in breast cancer
title_short Downregulated expression of ARHGAP10 correlates with advanced stage and high Ki-67 index in breast cancer
title_sort downregulated expression of arhgap10 correlates with advanced stage and high ki-67 index in breast cancer
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679923/
https://www.ncbi.nlm.nih.gov/pubmed/31396458
http://dx.doi.org/10.7717/peerj.7431
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