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Pan-cancer analysis reveals potential of FAM110A as a prognostic and immunological biomarker in human cancer
BACKGROUND: Despite great success, immunotherapy still faces many challenges in practical applications. It was previously found that family with sequence similarity 110 member A (FAM110A) participate in the regulation of the cell cycle and plays an oncogenic role in pancreatic cancer. However, the p...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008925/ https://www.ncbi.nlm.nih.gov/pubmed/36923407 http://dx.doi.org/10.3389/fimmu.2023.1058627 |
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author | Zhong, Hongguang Shi, Qianqian Wen, Qin Chen, Jingyi Li, Xuan Ruan, Ruiwen Zeng, Shaocheng Dai, Xiaofeng Xiong, Jianping Li, Li Lei, Wan Deng, Jun |
author_facet | Zhong, Hongguang Shi, Qianqian Wen, Qin Chen, Jingyi Li, Xuan Ruan, Ruiwen Zeng, Shaocheng Dai, Xiaofeng Xiong, Jianping Li, Li Lei, Wan Deng, Jun |
author_sort | Zhong, Hongguang |
collection | PubMed |
description | BACKGROUND: Despite great success, immunotherapy still faces many challenges in practical applications. It was previously found that family with sequence similarity 110 member A (FAM110A) participate in the regulation of the cell cycle and plays an oncogenic role in pancreatic cancer. However, the prognostic value of FAM110A in pan-cancer and its involvement in immune response remain unclear. METHODS: The Human Protein Atlas (HPA) database was used to detect the expression of FAM110A in human normal tissues, the Tumor Immune Estimation Resource (TIMER) and TIMER 2.0 databases were used to explore the association of FAM110A expression with immune checkpoint genes and immune infiltration, and the Gene Set Cancer Analysis (GSCA) database was used to explore the correlation between FAM110A expression and copy number variations (CNV) and methylation. The LinkedOmics database was used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Statistical analysis and visualization of data from the The Cancer Genome Atlas (TCGA) or the Genotype–Tissue Expression (GTEx) databases were performed using the R software (version 3.6.3). Clinical samples were validated using immunohistochemistry. RESULTS: FAM110A expression was elevated in most tumor tissues compared with that in normal tissues. CNV and methylation were associated with abnormal FAM110A mRNA expression in tumor tissues. FAM110A affected prognosis and was associated with the expression of multiple immune checkpoint genes and abundance of tumor-infiltrating immune cells across multiple types of cancer, especially in liver hepatocellular carcinoma (LIHC). FAM110A-related genes were involved in multiple immune-related processes in LIHC. CONCLUSION: FAM110A participates in regulating the immune infiltration and affecting the prognosis of patients in multiple cancers, especially in LIHC. FAM110A may serve as a prognostic and immunological biomarker for human cancer. |
format | Online Article Text |
id | pubmed-10008925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100089252023-03-14 Pan-cancer analysis reveals potential of FAM110A as a prognostic and immunological biomarker in human cancer Zhong, Hongguang Shi, Qianqian Wen, Qin Chen, Jingyi Li, Xuan Ruan, Ruiwen Zeng, Shaocheng Dai, Xiaofeng Xiong, Jianping Li, Li Lei, Wan Deng, Jun Front Immunol Immunology BACKGROUND: Despite great success, immunotherapy still faces many challenges in practical applications. It was previously found that family with sequence similarity 110 member A (FAM110A) participate in the regulation of the cell cycle and plays an oncogenic role in pancreatic cancer. However, the prognostic value of FAM110A in pan-cancer and its involvement in immune response remain unclear. METHODS: The Human Protein Atlas (HPA) database was used to detect the expression of FAM110A in human normal tissues, the Tumor Immune Estimation Resource (TIMER) and TIMER 2.0 databases were used to explore the association of FAM110A expression with immune checkpoint genes and immune infiltration, and the Gene Set Cancer Analysis (GSCA) database was used to explore the correlation between FAM110A expression and copy number variations (CNV) and methylation. The LinkedOmics database was used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Statistical analysis and visualization of data from the The Cancer Genome Atlas (TCGA) or the Genotype–Tissue Expression (GTEx) databases were performed using the R software (version 3.6.3). Clinical samples were validated using immunohistochemistry. RESULTS: FAM110A expression was elevated in most tumor tissues compared with that in normal tissues. CNV and methylation were associated with abnormal FAM110A mRNA expression in tumor tissues. FAM110A affected prognosis and was associated with the expression of multiple immune checkpoint genes and abundance of tumor-infiltrating immune cells across multiple types of cancer, especially in liver hepatocellular carcinoma (LIHC). FAM110A-related genes were involved in multiple immune-related processes in LIHC. CONCLUSION: FAM110A participates in regulating the immune infiltration and affecting the prognosis of patients in multiple cancers, especially in LIHC. FAM110A may serve as a prognostic and immunological biomarker for human cancer. Frontiers Media S.A. 2023-02-27 /pmc/articles/PMC10008925/ /pubmed/36923407 http://dx.doi.org/10.3389/fimmu.2023.1058627 Text en Copyright © 2023 Zhong, Shi, Wen, Chen, Li, Ruan, Zeng, Dai, Xiong, Li, Lei and Deng 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 | Immunology Zhong, Hongguang Shi, Qianqian Wen, Qin Chen, Jingyi Li, Xuan Ruan, Ruiwen Zeng, Shaocheng Dai, Xiaofeng Xiong, Jianping Li, Li Lei, Wan Deng, Jun Pan-cancer analysis reveals potential of FAM110A as a prognostic and immunological biomarker in human cancer |
title | Pan-cancer analysis reveals potential of FAM110A as a prognostic and immunological biomarker in human cancer |
title_full | Pan-cancer analysis reveals potential of FAM110A as a prognostic and immunological biomarker in human cancer |
title_fullStr | Pan-cancer analysis reveals potential of FAM110A as a prognostic and immunological biomarker in human cancer |
title_full_unstemmed | Pan-cancer analysis reveals potential of FAM110A as a prognostic and immunological biomarker in human cancer |
title_short | Pan-cancer analysis reveals potential of FAM110A as a prognostic and immunological biomarker in human cancer |
title_sort | pan-cancer analysis reveals potential of fam110a as a prognostic and immunological biomarker in human cancer |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008925/ https://www.ncbi.nlm.nih.gov/pubmed/36923407 http://dx.doi.org/10.3389/fimmu.2023.1058627 |
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