Cargando…
Anoikis-related genes signature development for clear cell renal cell carcinoma prognosis and tumor microenvironment
Clear cell renal cell carcinoma (ccRCC) is one of the most common primary malignancies of the urinary tract, highly heterogeneous, and increasing in incidence worldwide. Anoikis is a specific type of programmed cell death in which solid tumor cells or normal epithelial cells that do not have metasta...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622575/ https://www.ncbi.nlm.nih.gov/pubmed/37919386 http://dx.doi.org/10.1038/s41598-023-46398-0 |
_version_ | 1785130569938501632 |
---|---|
author | Jiang, Yinglei Wang, Ying Wang, Zhengyan Zhang, Yinzhen Hou, Yulong Wang, Xukai |
author_facet | Jiang, Yinglei Wang, Ying Wang, Zhengyan Zhang, Yinzhen Hou, Yulong Wang, Xukai |
author_sort | Jiang, Yinglei |
collection | PubMed |
description | Clear cell renal cell carcinoma (ccRCC) is one of the most common primary malignancies of the urinary tract, highly heterogeneous, and increasing in incidence worldwide. Anoikis is a specific type of programmed cell death in which solid tumor cells or normal epithelial cells that do not have metastatic properties lose adhesion to the extracellular matrix or undergo inappropriate cell adhesion-induced apoptosis. Anoikis is thought to play a critical role in tumorigenesis, maintenance, and treatment, according to an increasing amount of research. However, there is still some uncertainty regarding the general impact of anoikis-related genes (ARGs) on the prognostic importance, tumor microenvironment characteristics, and treatment reaction of ccRCC patients. For this study, we used The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus datasets to access the RNA sequencing results and clinical information from ccRCC patients. 29 ARGs related to survival were found using differential analysis and univariate Cox regression analysis. The samples were then divided into two clusters that had different immune traits via unsupervised cluster analysis using 29 prognosis-associated differently expressed ARGs. Then, to build an ARGs signature, 7 genes (PLAU, EDA2R, AFP, PLG, TUBB3, APOBEC3G, and MALAT1) were found using Least Absolute Shrinkage and Selection Operator regression analysis. The new ARGs signature demonstrated outstanding prognostic capability for ccRCC patients' overall survival. In conclusion, for ccRCC patients, we created an ARGs signature that strongly connects to immunological traits and therapy response. Clinicians may find this ARGs signature helpful in developing more individualized and detailed treatment strategies for ccRCC patients. |
format | Online Article Text |
id | pubmed-10622575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106225752023-11-04 Anoikis-related genes signature development for clear cell renal cell carcinoma prognosis and tumor microenvironment Jiang, Yinglei Wang, Ying Wang, Zhengyan Zhang, Yinzhen Hou, Yulong Wang, Xukai Sci Rep Article Clear cell renal cell carcinoma (ccRCC) is one of the most common primary malignancies of the urinary tract, highly heterogeneous, and increasing in incidence worldwide. Anoikis is a specific type of programmed cell death in which solid tumor cells or normal epithelial cells that do not have metastatic properties lose adhesion to the extracellular matrix or undergo inappropriate cell adhesion-induced apoptosis. Anoikis is thought to play a critical role in tumorigenesis, maintenance, and treatment, according to an increasing amount of research. However, there is still some uncertainty regarding the general impact of anoikis-related genes (ARGs) on the prognostic importance, tumor microenvironment characteristics, and treatment reaction of ccRCC patients. For this study, we used The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus datasets to access the RNA sequencing results and clinical information from ccRCC patients. 29 ARGs related to survival were found using differential analysis and univariate Cox regression analysis. The samples were then divided into two clusters that had different immune traits via unsupervised cluster analysis using 29 prognosis-associated differently expressed ARGs. Then, to build an ARGs signature, 7 genes (PLAU, EDA2R, AFP, PLG, TUBB3, APOBEC3G, and MALAT1) were found using Least Absolute Shrinkage and Selection Operator regression analysis. The new ARGs signature demonstrated outstanding prognostic capability for ccRCC patients' overall survival. In conclusion, for ccRCC patients, we created an ARGs signature that strongly connects to immunological traits and therapy response. Clinicians may find this ARGs signature helpful in developing more individualized and detailed treatment strategies for ccRCC patients. Nature Publishing Group UK 2023-11-02 /pmc/articles/PMC10622575/ /pubmed/37919386 http://dx.doi.org/10.1038/s41598-023-46398-0 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 Jiang, Yinglei Wang, Ying Wang, Zhengyan Zhang, Yinzhen Hou, Yulong Wang, Xukai Anoikis-related genes signature development for clear cell renal cell carcinoma prognosis and tumor microenvironment |
title | Anoikis-related genes signature development for clear cell renal cell carcinoma prognosis and tumor microenvironment |
title_full | Anoikis-related genes signature development for clear cell renal cell carcinoma prognosis and tumor microenvironment |
title_fullStr | Anoikis-related genes signature development for clear cell renal cell carcinoma prognosis and tumor microenvironment |
title_full_unstemmed | Anoikis-related genes signature development for clear cell renal cell carcinoma prognosis and tumor microenvironment |
title_short | Anoikis-related genes signature development for clear cell renal cell carcinoma prognosis and tumor microenvironment |
title_sort | anoikis-related genes signature development for clear cell renal cell carcinoma prognosis and tumor microenvironment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622575/ https://www.ncbi.nlm.nih.gov/pubmed/37919386 http://dx.doi.org/10.1038/s41598-023-46398-0 |
work_keys_str_mv | AT jiangyinglei anoikisrelatedgenessignaturedevelopmentforclearcellrenalcellcarcinomaprognosisandtumormicroenvironment AT wangying anoikisrelatedgenessignaturedevelopmentforclearcellrenalcellcarcinomaprognosisandtumormicroenvironment AT wangzhengyan anoikisrelatedgenessignaturedevelopmentforclearcellrenalcellcarcinomaprognosisandtumormicroenvironment AT zhangyinzhen anoikisrelatedgenessignaturedevelopmentforclearcellrenalcellcarcinomaprognosisandtumormicroenvironment AT houyulong anoikisrelatedgenessignaturedevelopmentforclearcellrenalcellcarcinomaprognosisandtumormicroenvironment AT wangxukai anoikisrelatedgenessignaturedevelopmentforclearcellrenalcellcarcinomaprognosisandtumormicroenvironment |