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Identification of anoikis-related subtypes and immune landscape in kidney renal clear cell carcinoma
Anoikis is a specific form of programmed cell death induced by the loss of cell contact with the extracellular matrix and other cells, and plays an important role in organism development, tissue homeostasis, disease development and tumor metastasis. We comprehensively investigated the expression pat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593771/ https://www.ncbi.nlm.nih.gov/pubmed/37872217 http://dx.doi.org/10.1038/s41598-023-45069-4 |
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author | Ding, Wencong Zhang, Min Zhang, Ping Zhang, Xianghong Sun, Junwei Lin, Biying |
author_facet | Ding, Wencong Zhang, Min Zhang, Ping Zhang, Xianghong Sun, Junwei Lin, Biying |
author_sort | Ding, Wencong |
collection | PubMed |
description | Anoikis is a specific form of programmed cell death induced by the loss of cell contact with the extracellular matrix and other cells, and plays an important role in organism development, tissue homeostasis, disease development and tumor metastasis. We comprehensively investigated the expression patterns of anoikis-related genes (ARGs) in kidney renal clear cell carcinoma (KIRC) from public databases. Anoikis-related prognostic signatures were established based on four ARGs expression, in which KIRC patients were assigned different risk scores and divided into two different risk groups. In addition, four ARGs expression was validated by qRT-PCR. A better prognosis was observed in the low-risk group, but with lower immune activity (including immune cells and immune-related functions) in the tumor microenvironment. Combined with the relevant clinical characteristics, a nomogram for clinical application was established. Receiver operating characteristics (ROC) and calibration curves were constructed to demonstrate the predictive power of this risk signature. In addition, higher risk scores were significantly and positively correlated with higher gene expression of tumor mutation load (TMB), immune checkpoints (ICPs) and mismatch repair (MMR)-related proteins in general. The results also suggested that the high-risk group was more sensitive to immunotherapy and certain chemotherapeutic agents. Anoikis-related prognostic signatures may provide a better understanding of the roles of ARGs and offer new perspectives for clinical prognosis and individualized treatment. |
format | Online Article Text |
id | pubmed-10593771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105937712023-10-25 Identification of anoikis-related subtypes and immune landscape in kidney renal clear cell carcinoma Ding, Wencong Zhang, Min Zhang, Ping Zhang, Xianghong Sun, Junwei Lin, Biying Sci Rep Article Anoikis is a specific form of programmed cell death induced by the loss of cell contact with the extracellular matrix and other cells, and plays an important role in organism development, tissue homeostasis, disease development and tumor metastasis. We comprehensively investigated the expression patterns of anoikis-related genes (ARGs) in kidney renal clear cell carcinoma (KIRC) from public databases. Anoikis-related prognostic signatures were established based on four ARGs expression, in which KIRC patients were assigned different risk scores and divided into two different risk groups. In addition, four ARGs expression was validated by qRT-PCR. A better prognosis was observed in the low-risk group, but with lower immune activity (including immune cells and immune-related functions) in the tumor microenvironment. Combined with the relevant clinical characteristics, a nomogram for clinical application was established. Receiver operating characteristics (ROC) and calibration curves were constructed to demonstrate the predictive power of this risk signature. In addition, higher risk scores were significantly and positively correlated with higher gene expression of tumor mutation load (TMB), immune checkpoints (ICPs) and mismatch repair (MMR)-related proteins in general. The results also suggested that the high-risk group was more sensitive to immunotherapy and certain chemotherapeutic agents. Anoikis-related prognostic signatures may provide a better understanding of the roles of ARGs and offer new perspectives for clinical prognosis and individualized treatment. Nature Publishing Group UK 2023-10-23 /pmc/articles/PMC10593771/ /pubmed/37872217 http://dx.doi.org/10.1038/s41598-023-45069-4 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 Ding, Wencong Zhang, Min Zhang, Ping Zhang, Xianghong Sun, Junwei Lin, Biying Identification of anoikis-related subtypes and immune landscape in kidney renal clear cell carcinoma |
title | Identification of anoikis-related subtypes and immune landscape in kidney renal clear cell carcinoma |
title_full | Identification of anoikis-related subtypes and immune landscape in kidney renal clear cell carcinoma |
title_fullStr | Identification of anoikis-related subtypes and immune landscape in kidney renal clear cell carcinoma |
title_full_unstemmed | Identification of anoikis-related subtypes and immune landscape in kidney renal clear cell carcinoma |
title_short | Identification of anoikis-related subtypes and immune landscape in kidney renal clear cell carcinoma |
title_sort | identification of anoikis-related subtypes and immune landscape in kidney renal clear cell carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593771/ https://www.ncbi.nlm.nih.gov/pubmed/37872217 http://dx.doi.org/10.1038/s41598-023-45069-4 |
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