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Identification of key genes of the ccRCC subtype with poor prognosis
Clear cell renal carcinoma has been reported in many research studies as a rather heterogeneous disease. Identification of different subtypes and their molecular characteristics can help in choosing a more effective treatment and predicting a response to it. In this study, using multi-omics clusteri...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418309/ https://www.ncbi.nlm.nih.gov/pubmed/36028558 http://dx.doi.org/10.1038/s41598-022-18620-y |
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author | Puzanov, Grigory Andreevich |
author_facet | Puzanov, Grigory Andreevich |
author_sort | Puzanov, Grigory Andreevich |
collection | PubMed |
description | Clear cell renal carcinoma has been reported in many research studies as a rather heterogeneous disease. Identification of different subtypes and their molecular characteristics can help in choosing a more effective treatment and predicting a response to it. In this study, using multi-omics clustering of RNA-Seq data of patients with clear cell renal carcinoma from TCGA. Specific genes were identified for the most aggressive ccRCC subtype associated with metastasis and a subtype associated with a more favorable course of the disease. Among them were genes associated with blood clotting (FGA, FGG) and genes associated with changes in the immune characteristics of a tumor (ENAM, IGFBP1, IL6). In addition, an association of hub genes of poor survival ccRCC subtype with the levels of infiltration of endothelial cells, hematopoietic stem cells, T cells NK and mast cells was revealed. It was shown that MFI2, CP, FGA, and FGG expression can predict the response to sunitinib, while the APOB, ENAM, IGFBP1, and MFI2 expression predict the response to nivolumab. The results obtained provide insight into the genetic characteristics underlying the aggressive subtype of ccRCC and may help develop new approaches to the treatment of this disease. |
format | Online Article Text |
id | pubmed-9418309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94183092022-08-28 Identification of key genes of the ccRCC subtype with poor prognosis Puzanov, Grigory Andreevich Sci Rep Article Clear cell renal carcinoma has been reported in many research studies as a rather heterogeneous disease. Identification of different subtypes and their molecular characteristics can help in choosing a more effective treatment and predicting a response to it. In this study, using multi-omics clustering of RNA-Seq data of patients with clear cell renal carcinoma from TCGA. Specific genes were identified for the most aggressive ccRCC subtype associated with metastasis and a subtype associated with a more favorable course of the disease. Among them were genes associated with blood clotting (FGA, FGG) and genes associated with changes in the immune characteristics of a tumor (ENAM, IGFBP1, IL6). In addition, an association of hub genes of poor survival ccRCC subtype with the levels of infiltration of endothelial cells, hematopoietic stem cells, T cells NK and mast cells was revealed. It was shown that MFI2, CP, FGA, and FGG expression can predict the response to sunitinib, while the APOB, ENAM, IGFBP1, and MFI2 expression predict the response to nivolumab. The results obtained provide insight into the genetic characteristics underlying the aggressive subtype of ccRCC and may help develop new approaches to the treatment of this disease. Nature Publishing Group UK 2022-08-26 /pmc/articles/PMC9418309/ /pubmed/36028558 http://dx.doi.org/10.1038/s41598-022-18620-y Text en © The Author(s) 2022 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 Puzanov, Grigory Andreevich Identification of key genes of the ccRCC subtype with poor prognosis |
title | Identification of key genes of the ccRCC subtype with poor prognosis |
title_full | Identification of key genes of the ccRCC subtype with poor prognosis |
title_fullStr | Identification of key genes of the ccRCC subtype with poor prognosis |
title_full_unstemmed | Identification of key genes of the ccRCC subtype with poor prognosis |
title_short | Identification of key genes of the ccRCC subtype with poor prognosis |
title_sort | identification of key genes of the ccrcc subtype with poor prognosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418309/ https://www.ncbi.nlm.nih.gov/pubmed/36028558 http://dx.doi.org/10.1038/s41598-022-18620-y |
work_keys_str_mv | AT puzanovgrigoryandreevich identificationofkeygenesoftheccrccsubtypewithpoorprognosis |