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Key sunitinib‐related biomarkers for renal cell carcinoma
BACKGROUND: Renal cell carcinoma (RCC) contributed to 403,262 new cases worldwide in 2018, which constitutes 2.2% of global cancer, nevertheless, sunitinib, one of the major targeted therapeutic agent for RCC, often developed invalid due to resistance. Emerging evidences suggested sunitinib can impa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495283/ https://www.ncbi.nlm.nih.gov/pubmed/34402193 http://dx.doi.org/10.1002/cam4.4206 |
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author | Peng, Yun Dong, Shiqiang Song, Yuxuan Hou, Dingkun Wang, Lili Li, Bowen Wang, Haitao |
author_facet | Peng, Yun Dong, Shiqiang Song, Yuxuan Hou, Dingkun Wang, Lili Li, Bowen Wang, Haitao |
author_sort | Peng, Yun |
collection | PubMed |
description | BACKGROUND: Renal cell carcinoma (RCC) contributed to 403,262 new cases worldwide in 2018, which constitutes 2.2% of global cancer, nevertheless, sunitinib, one of the major targeted therapeutic agent for RCC, often developed invalid due to resistance. Emerging evidences suggested sunitinib can impact tumor environment which has been proven to be a vital factor for tumor progression. METHODS: In the present study, we used ssGSEA to extract the immune infiltrating abundance of clear cell RCC (ccRCC) and normal control samples from GSE65615, TCGA, and GTEx; key immune cells were determined by Student's t‐test and univariable Cox analysis. Co‐expression network combined with differentially expressed analysis was then applied to derive key immune‐related genes for ccRCC, followed by the identification of hub genes using differential expression analysis. Subsequently, explorations and validations of the biological function and the immune‐related and sunitinib‐related characteristics were conducted in KEGG, TISIDB, Oncomine, ICGC, and GEO databases. RESULTS: We refined immature dendritic cells and central memory CD4 T cells which showed associations with sunitinib and ccRCC. Following, five hub genes (CRYBB1, RIMBP3C, CEACAM4, HAMP, and LYL1) were identified for their strong relationships with sunitinib and immune infiltration in ccRCC. Further validations in external data refined CRYBB1, CEACAM4, and HAMP which play a vital role in sunitinib resistance, immune infiltrations in ccRCC, and the development and progression of ccRCC. In conclusion, our findings could shed light on the resistance of sunitinib in ccRCC and provide novel biomarkers or drug targets for ccRCC. |
format | Online Article Text |
id | pubmed-8495283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84952832021-10-08 Key sunitinib‐related biomarkers for renal cell carcinoma Peng, Yun Dong, Shiqiang Song, Yuxuan Hou, Dingkun Wang, Lili Li, Bowen Wang, Haitao Cancer Med Bioinformatics BACKGROUND: Renal cell carcinoma (RCC) contributed to 403,262 new cases worldwide in 2018, which constitutes 2.2% of global cancer, nevertheless, sunitinib, one of the major targeted therapeutic agent for RCC, often developed invalid due to resistance. Emerging evidences suggested sunitinib can impact tumor environment which has been proven to be a vital factor for tumor progression. METHODS: In the present study, we used ssGSEA to extract the immune infiltrating abundance of clear cell RCC (ccRCC) and normal control samples from GSE65615, TCGA, and GTEx; key immune cells were determined by Student's t‐test and univariable Cox analysis. Co‐expression network combined with differentially expressed analysis was then applied to derive key immune‐related genes for ccRCC, followed by the identification of hub genes using differential expression analysis. Subsequently, explorations and validations of the biological function and the immune‐related and sunitinib‐related characteristics were conducted in KEGG, TISIDB, Oncomine, ICGC, and GEO databases. RESULTS: We refined immature dendritic cells and central memory CD4 T cells which showed associations with sunitinib and ccRCC. Following, five hub genes (CRYBB1, RIMBP3C, CEACAM4, HAMP, and LYL1) were identified for their strong relationships with sunitinib and immune infiltration in ccRCC. Further validations in external data refined CRYBB1, CEACAM4, and HAMP which play a vital role in sunitinib resistance, immune infiltrations in ccRCC, and the development and progression of ccRCC. In conclusion, our findings could shed light on the resistance of sunitinib in ccRCC and provide novel biomarkers or drug targets for ccRCC. John Wiley and Sons Inc. 2021-08-17 /pmc/articles/PMC8495283/ /pubmed/34402193 http://dx.doi.org/10.1002/cam4.4206 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Bioinformatics Peng, Yun Dong, Shiqiang Song, Yuxuan Hou, Dingkun Wang, Lili Li, Bowen Wang, Haitao Key sunitinib‐related biomarkers for renal cell carcinoma |
title | Key sunitinib‐related biomarkers for renal cell carcinoma |
title_full | Key sunitinib‐related biomarkers for renal cell carcinoma |
title_fullStr | Key sunitinib‐related biomarkers for renal cell carcinoma |
title_full_unstemmed | Key sunitinib‐related biomarkers for renal cell carcinoma |
title_short | Key sunitinib‐related biomarkers for renal cell carcinoma |
title_sort | key sunitinib‐related biomarkers for renal cell carcinoma |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495283/ https://www.ncbi.nlm.nih.gov/pubmed/34402193 http://dx.doi.org/10.1002/cam4.4206 |
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