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CCDC134 as a Prognostic-Related Biomarker in Breast Cancer Correlating With Immune Infiltrates

BACKGROUND: The expression of Coiled-Coil Domain Containing 134(CCDC134) is up-regulated in different pan-cancer species. However, its prognostic value and correlation with immune infiltration in breast cancer are unclear. Therefore, we evaluated the prognostic role of CCDC134 in breast cancer and i...

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Autores principales: Huang, Zhijian, Yang, Linhui, Chen, Jian, Li, Shixiong, Huang, Jing, Chen, Yijie, Liu, Jingbo, Wang, Hongyan, Yu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927640/
https://www.ncbi.nlm.nih.gov/pubmed/35311121
http://dx.doi.org/10.3389/fonc.2022.858487
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author Huang, Zhijian
Yang, Linhui
Chen, Jian
Li, Shixiong
Huang, Jing
Chen, Yijie
Liu, Jingbo
Wang, Hongyan
Yu, Hui
author_facet Huang, Zhijian
Yang, Linhui
Chen, Jian
Li, Shixiong
Huang, Jing
Chen, Yijie
Liu, Jingbo
Wang, Hongyan
Yu, Hui
author_sort Huang, Zhijian
collection PubMed
description BACKGROUND: The expression of Coiled-Coil Domain Containing 134(CCDC134) is up-regulated in different pan-cancer species. However, its prognostic value and correlation with immune infiltration in breast cancer are unclear. Therefore, we evaluated the prognostic role of CCDC134 in breast cancer and its correlation with immune invasion. METHODS: We downloaded the transcription profile of CCDC134 between breast cancer and normal tissues from the Cancer Genome Atlas (TCGA). CCDC134 protein expression was assessed by the Clinical Proteomic Cancer Analysis Consortium (CPTAC) and the Human Protein Atlas. Gene set enrichment analysis (GSEA) was also used for pathway analysis. Receiver operating characteristic (ROC) curve was used to differentiate breast cancer from adjacent normal tissues. Kaplan-Meier method was used to evaluate the effect of CCDC134 on survival rate. The protein-protein interaction (PPI) network is built from STRING. Function expansion analysis is performed using the ClusterProfiler package. Through tumor Immune Estimation Resource (TIMER) and tumor Immune System Interaction database (TISIDB) to determine the relationship between CCDC134 expression level and immune infiltration. CTD database is used to predict drugs that inhibit CCDC134 and PubChem database is used to determine the molecular structure of identified drugs. RESULTS: The expression of CCDC134 in breast cancer tissues was significantly higher than that of CCDC134 mRNA expression in adjacent normal tissues. ROC curve analysis showed that the AUC value of CCDC134 was 0.663. Kaplan-meier survival analysis showed that patients with high CCDC134 had a lower prognosis (57.27 months vs 36.96 months, P = 2.0E-6). Correlation analysis showed that CCDC134 mRNA expression was associated with tumor purity immune invasion. In addition, CTD database analysis identified abrine, Benzo (A) Pyrene, bisphenol A, Soman, Sunitinib, Tetrachloroethylene, Valproic Acid as seven targeted therapy drugs that may be effective treatments for seven targeted therapeutics. It may be an effective treatment for inhibiting CCDC134. CONCLUSION: In breast cancer, upregulated CCDC134 is significantly associated with lower survival and immune infiltrates invasion. Our study suggests that CCDC134 can serve as a biomarker of poor prognosis and a potential immunotherapy target in breast cancer. Seven drugs with significant potential to inhibit CCDC134 were identified.
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spelling pubmed-89276402022-03-18 CCDC134 as a Prognostic-Related Biomarker in Breast Cancer Correlating With Immune Infiltrates Huang, Zhijian Yang, Linhui Chen, Jian Li, Shixiong Huang, Jing Chen, Yijie Liu, Jingbo Wang, Hongyan Yu, Hui Front Oncol Oncology BACKGROUND: The expression of Coiled-Coil Domain Containing 134(CCDC134) is up-regulated in different pan-cancer species. However, its prognostic value and correlation with immune infiltration in breast cancer are unclear. Therefore, we evaluated the prognostic role of CCDC134 in breast cancer and its correlation with immune invasion. METHODS: We downloaded the transcription profile of CCDC134 between breast cancer and normal tissues from the Cancer Genome Atlas (TCGA). CCDC134 protein expression was assessed by the Clinical Proteomic Cancer Analysis Consortium (CPTAC) and the Human Protein Atlas. Gene set enrichment analysis (GSEA) was also used for pathway analysis. Receiver operating characteristic (ROC) curve was used to differentiate breast cancer from adjacent normal tissues. Kaplan-Meier method was used to evaluate the effect of CCDC134 on survival rate. The protein-protein interaction (PPI) network is built from STRING. Function expansion analysis is performed using the ClusterProfiler package. Through tumor Immune Estimation Resource (TIMER) and tumor Immune System Interaction database (TISIDB) to determine the relationship between CCDC134 expression level and immune infiltration. CTD database is used to predict drugs that inhibit CCDC134 and PubChem database is used to determine the molecular structure of identified drugs. RESULTS: The expression of CCDC134 in breast cancer tissues was significantly higher than that of CCDC134 mRNA expression in adjacent normal tissues. ROC curve analysis showed that the AUC value of CCDC134 was 0.663. Kaplan-meier survival analysis showed that patients with high CCDC134 had a lower prognosis (57.27 months vs 36.96 months, P = 2.0E-6). Correlation analysis showed that CCDC134 mRNA expression was associated with tumor purity immune invasion. In addition, CTD database analysis identified abrine, Benzo (A) Pyrene, bisphenol A, Soman, Sunitinib, Tetrachloroethylene, Valproic Acid as seven targeted therapy drugs that may be effective treatments for seven targeted therapeutics. It may be an effective treatment for inhibiting CCDC134. CONCLUSION: In breast cancer, upregulated CCDC134 is significantly associated with lower survival and immune infiltrates invasion. Our study suggests that CCDC134 can serve as a biomarker of poor prognosis and a potential immunotherapy target in breast cancer. Seven drugs with significant potential to inhibit CCDC134 were identified. Frontiers Media S.A. 2022-03-03 /pmc/articles/PMC8927640/ /pubmed/35311121 http://dx.doi.org/10.3389/fonc.2022.858487 Text en Copyright © 2022 Huang, Yang, Chen, Li, Huang, Chen, Liu, Wang and Yu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Huang, Zhijian
Yang, Linhui
Chen, Jian
Li, Shixiong
Huang, Jing
Chen, Yijie
Liu, Jingbo
Wang, Hongyan
Yu, Hui
CCDC134 as a Prognostic-Related Biomarker in Breast Cancer Correlating With Immune Infiltrates
title CCDC134 as a Prognostic-Related Biomarker in Breast Cancer Correlating With Immune Infiltrates
title_full CCDC134 as a Prognostic-Related Biomarker in Breast Cancer Correlating With Immune Infiltrates
title_fullStr CCDC134 as a Prognostic-Related Biomarker in Breast Cancer Correlating With Immune Infiltrates
title_full_unstemmed CCDC134 as a Prognostic-Related Biomarker in Breast Cancer Correlating With Immune Infiltrates
title_short CCDC134 as a Prognostic-Related Biomarker in Breast Cancer Correlating With Immune Infiltrates
title_sort ccdc134 as a prognostic-related biomarker in breast cancer correlating with immune infiltrates
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927640/
https://www.ncbi.nlm.nih.gov/pubmed/35311121
http://dx.doi.org/10.3389/fonc.2022.858487
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