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Systematic pan-cancer analysis identifies SLC35C1 as an immunological and prognostic biomarker

GDP-amylose transporter protein 1 (SLC35C1) plays an important role in many types of cancer. Therefore, it is clinically important to further investigate the expression profile of SLC35C1 in human tumors to provide new molecular clues for the pathogenesis of glioma. In this study, we performed a com...

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Autores principales: Xie, Mingchen, Wang, Fuxu, Chen, Bing, Wu, Zeyu, Chen, Ci, Xu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067962/
https://www.ncbi.nlm.nih.gov/pubmed/37005450
http://dx.doi.org/10.1038/s41598-023-32375-0
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author Xie, Mingchen
Wang, Fuxu
Chen, Bing
Wu, Zeyu
Chen, Ci
Xu, Jian
author_facet Xie, Mingchen
Wang, Fuxu
Chen, Bing
Wu, Zeyu
Chen, Ci
Xu, Jian
author_sort Xie, Mingchen
collection PubMed
description GDP-amylose transporter protein 1 (SLC35C1) plays an important role in many types of cancer. Therefore, it is clinically important to further investigate the expression profile of SLC35C1 in human tumors to provide new molecular clues for the pathogenesis of glioma. In this study, we performed a comprehensive pan-cancer analysis of SLC35C1 using a series of bioinformatics approaches and validated its differential tissue expression and biological function. The results showed that SLC35C1 was aberrantly expressed in different types of tumors and significantly correlated with overall survival (OS) and progression-free interval (PFI). More importantly, the expression level of SLC35C1 was closely correlated with Tumor Microenvironment (TME), immune infiltration and immune-related genes. In addition, we found that SLC35C1 expression was also closely related to Tumor Mutation Burden (TMB), Microsatellite Instability (MSI) and antitumor drug sensitivity in various cancer types. Functional bioinformatics analysis indicated that SLC35C1 may be involved in multiple signaling pathways and biological processes in glioma. Based on SLC35C1 expression, a risk factor model was found to predict OS of glioma. In addition, in vitro experiments showed that SLC35C1 knockdown significantly inhibited the proliferation, migration and invasive ability of glioma cells, while SLC35C1 overexpression promoted proliferation, migration, invasion and colony formation of glioma cells. Finally, quantitative real-time PCR confirmed that SLC35C1 was highly expressed in gliomas.
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spelling pubmed-100679622023-04-04 Systematic pan-cancer analysis identifies SLC35C1 as an immunological and prognostic biomarker Xie, Mingchen Wang, Fuxu Chen, Bing Wu, Zeyu Chen, Ci Xu, Jian Sci Rep Article GDP-amylose transporter protein 1 (SLC35C1) plays an important role in many types of cancer. Therefore, it is clinically important to further investigate the expression profile of SLC35C1 in human tumors to provide new molecular clues for the pathogenesis of glioma. In this study, we performed a comprehensive pan-cancer analysis of SLC35C1 using a series of bioinformatics approaches and validated its differential tissue expression and biological function. The results showed that SLC35C1 was aberrantly expressed in different types of tumors and significantly correlated with overall survival (OS) and progression-free interval (PFI). More importantly, the expression level of SLC35C1 was closely correlated with Tumor Microenvironment (TME), immune infiltration and immune-related genes. In addition, we found that SLC35C1 expression was also closely related to Tumor Mutation Burden (TMB), Microsatellite Instability (MSI) and antitumor drug sensitivity in various cancer types. Functional bioinformatics analysis indicated that SLC35C1 may be involved in multiple signaling pathways and biological processes in glioma. Based on SLC35C1 expression, a risk factor model was found to predict OS of glioma. In addition, in vitro experiments showed that SLC35C1 knockdown significantly inhibited the proliferation, migration and invasive ability of glioma cells, while SLC35C1 overexpression promoted proliferation, migration, invasion and colony formation of glioma cells. Finally, quantitative real-time PCR confirmed that SLC35C1 was highly expressed in gliomas. Nature Publishing Group UK 2023-04-01 /pmc/articles/PMC10067962/ /pubmed/37005450 http://dx.doi.org/10.1038/s41598-023-32375-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Xie, Mingchen
Wang, Fuxu
Chen, Bing
Wu, Zeyu
Chen, Ci
Xu, Jian
Systematic pan-cancer analysis identifies SLC35C1 as an immunological and prognostic biomarker
title Systematic pan-cancer analysis identifies SLC35C1 as an immunological and prognostic biomarker
title_full Systematic pan-cancer analysis identifies SLC35C1 as an immunological and prognostic biomarker
title_fullStr Systematic pan-cancer analysis identifies SLC35C1 as an immunological and prognostic biomarker
title_full_unstemmed Systematic pan-cancer analysis identifies SLC35C1 as an immunological and prognostic biomarker
title_short Systematic pan-cancer analysis identifies SLC35C1 as an immunological and prognostic biomarker
title_sort systematic pan-cancer analysis identifies slc35c1 as an immunological and prognostic biomarker
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067962/
https://www.ncbi.nlm.nih.gov/pubmed/37005450
http://dx.doi.org/10.1038/s41598-023-32375-0
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