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CACNA1C is a prognostic predictor for patients with ovarian cancer

BACKGROUND: CACNA1C, as a type of voltage-dependent calcium ion transmembrane channel, played regulatory roles in the development and progress of multiple tumors. This study was aimed to analyze the roles of CACNA1C in ovarian cancer (OC) of overall survival (OS) and to explore its relationships wit...

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Autores principales: Chang, Xiaohan, Dong, Yunxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252246/
https://www.ncbi.nlm.nih.gov/pubmed/34210324
http://dx.doi.org/10.1186/s13048-021-00830-z
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author Chang, Xiaohan
Dong, Yunxia
author_facet Chang, Xiaohan
Dong, Yunxia
author_sort Chang, Xiaohan
collection PubMed
description BACKGROUND: CACNA1C, as a type of voltage-dependent calcium ion transmembrane channel, played regulatory roles in the development and progress of multiple tumors. This study was aimed to analyze the roles of CACNA1C in ovarian cancer (OC) of overall survival (OS) and to explore its relationships with immunity. METHODS: Single gene mRNA sequencing data and corresponding clinical information were obtained from The Cancer Genome Atlas Database (TCGA) and the International Cancer Genome Consortium (ICGC) datasets. Gene set enrichment analysis (GSEA) was used to identify CACNA1C-related signal pathways. Univariate and multivariate Cox regression analyses were applied to evaluate independent prognostic factors. Besides, associations between CACNA1C and immunity were also explored. RESULTS: CACNA1C had a lower expression in OC tumor tissues than in normal tissues (P < 0.001), with significant OS (P = 0.013) and a low diagnostic efficiency. We further validated the expression levels of CACNA1C in OC by means of the ICGC dataset (P = 0.01), qRT-PCR results (P < 0.001) and the HPA database. Univariate and multivariate Cox hazard regression analyses indicated that CACNA1C could be an independent risk factor of OS for OC patients (both P < 0.001). Five significant CACNA1C-related signaling pathways were identified by means of GSEA. As for genetic alteration analysis, altered CACNA1C groups were significantly associated with OS (P = 0.0169), progression-free survival (P = 0.0404), disease-free survival (P = 0.0417) and disease-specific survival (P = 9.280e-3), compared with unaltered groups in OC. Besides, CACNA1C was dramatically associated with microsatellite instability (MSI) and immunity. CONCLUSIONS: Our results shed light on that CACNA1C could be a prognostic predictor of OS in OC and it was closely related to immunity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13048-021-00830-z.
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spelling pubmed-82522462021-07-06 CACNA1C is a prognostic predictor for patients with ovarian cancer Chang, Xiaohan Dong, Yunxia J Ovarian Res Research BACKGROUND: CACNA1C, as a type of voltage-dependent calcium ion transmembrane channel, played regulatory roles in the development and progress of multiple tumors. This study was aimed to analyze the roles of CACNA1C in ovarian cancer (OC) of overall survival (OS) and to explore its relationships with immunity. METHODS: Single gene mRNA sequencing data and corresponding clinical information were obtained from The Cancer Genome Atlas Database (TCGA) and the International Cancer Genome Consortium (ICGC) datasets. Gene set enrichment analysis (GSEA) was used to identify CACNA1C-related signal pathways. Univariate and multivariate Cox regression analyses were applied to evaluate independent prognostic factors. Besides, associations between CACNA1C and immunity were also explored. RESULTS: CACNA1C had a lower expression in OC tumor tissues than in normal tissues (P < 0.001), with significant OS (P = 0.013) and a low diagnostic efficiency. We further validated the expression levels of CACNA1C in OC by means of the ICGC dataset (P = 0.01), qRT-PCR results (P < 0.001) and the HPA database. Univariate and multivariate Cox hazard regression analyses indicated that CACNA1C could be an independent risk factor of OS for OC patients (both P < 0.001). Five significant CACNA1C-related signaling pathways were identified by means of GSEA. As for genetic alteration analysis, altered CACNA1C groups were significantly associated with OS (P = 0.0169), progression-free survival (P = 0.0404), disease-free survival (P = 0.0417) and disease-specific survival (P = 9.280e-3), compared with unaltered groups in OC. Besides, CACNA1C was dramatically associated with microsatellite instability (MSI) and immunity. CONCLUSIONS: Our results shed light on that CACNA1C could be a prognostic predictor of OS in OC and it was closely related to immunity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13048-021-00830-z. BioMed Central 2021-07-01 /pmc/articles/PMC8252246/ /pubmed/34210324 http://dx.doi.org/10.1186/s13048-021-00830-z Text en © The Author(s) 2021 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
Chang, Xiaohan
Dong, Yunxia
CACNA1C is a prognostic predictor for patients with ovarian cancer
title CACNA1C is a prognostic predictor for patients with ovarian cancer
title_full CACNA1C is a prognostic predictor for patients with ovarian cancer
title_fullStr CACNA1C is a prognostic predictor for patients with ovarian cancer
title_full_unstemmed CACNA1C is a prognostic predictor for patients with ovarian cancer
title_short CACNA1C is a prognostic predictor for patients with ovarian cancer
title_sort cacna1c is a prognostic predictor for patients with ovarian cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252246/
https://www.ncbi.nlm.nih.gov/pubmed/34210324
http://dx.doi.org/10.1186/s13048-021-00830-z
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