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Gene mutation profiling and clinical significances in patients with renal cell carcinoma

OBJECTIVES: The pathological mechanisms of patients with Renal Cell Carcinoma (RCC) remain defined. This study aimed to evaluate relationships between the landscape of gene mutations and their clinical significance in RCC patients. METHODS: Tissue and peripheral blood samples of 42 patients with RCC...

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Autores principales: Wang, Yongquan, He, Peng, Zhou, Xiaozhou, Wang, Cong, Fu, Jian, Zhang, Dawei, Liao, Deyang, Zhou, Zhansong, Wu, Chunman, Gong, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410166/
https://www.ncbi.nlm.nih.gov/pubmed/37515929
http://dx.doi.org/10.1016/j.clinsp.2023.100259
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author Wang, Yongquan
He, Peng
Zhou, Xiaozhou
Wang, Cong
Fu, Jian
Zhang, Dawei
Liao, Deyang
Zhou, Zhansong
Wu, Chunman
Gong, Wei
author_facet Wang, Yongquan
He, Peng
Zhou, Xiaozhou
Wang, Cong
Fu, Jian
Zhang, Dawei
Liao, Deyang
Zhou, Zhansong
Wu, Chunman
Gong, Wei
author_sort Wang, Yongquan
collection PubMed
description OBJECTIVES: The pathological mechanisms of patients with Renal Cell Carcinoma (RCC) remain defined. This study aimed to evaluate relationships between the landscape of gene mutations and their clinical significance in RCC patients. METHODS: Tissue and peripheral blood samples of 42 patients with RCC were collected and performed for the Next Generation Sequencing (NGS) with Geneseeq PrimeTM 425-gene panel probes. Their landscapes of gene mutation were analyzed. We also carried out an evaluation of Tumor-Node-Metastasis (TNM) staging, RENAL nephelometry score, surgery, and targeted drug treatment of patients. Then we compared the correlations of landscape in gene mutations and the prognosis. RESULTS: The most common gene alternations, including BAP1, PBRM1, SETD2, CSF1R, NPM1, EGFR, POLE, RB1, and VHL genes, were identified in tissue and blood samples of 75% of patients. EGFR, POLE, and RB1 gene mutations frequently occurred in relapsed and metastatic patients. BAP1, CCND2, KRAS, PTPN11, ERBB2/3, JAK2, and POLE were presented in the patients with > 9 RENAL nephelometry score. Univariable analysis indicated that SETD2, BAP1, and PBRM1 genes were key factors for Disease-Free Survival (DFS). Multivariable analysis confirmed that mutated SETD1, NPM1, and CSF1R were critical factors for the Progression Free Survival (PFS) of RCC patients with target therapy. CONCLUSIONS: Wild-type PBRM1 and mutated BAP1 in patients with RCC were strongly associated with the outcomes of the patient. The PFS of the patients with SETD2, NPM1, and CSF1R mutations were significantly shorter than those patients without variants.
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spelling pubmed-104101662023-08-10 Gene mutation profiling and clinical significances in patients with renal cell carcinoma Wang, Yongquan He, Peng Zhou, Xiaozhou Wang, Cong Fu, Jian Zhang, Dawei Liao, Deyang Zhou, Zhansong Wu, Chunman Gong, Wei Clinics (Sao Paulo) Original Articles OBJECTIVES: The pathological mechanisms of patients with Renal Cell Carcinoma (RCC) remain defined. This study aimed to evaluate relationships between the landscape of gene mutations and their clinical significance in RCC patients. METHODS: Tissue and peripheral blood samples of 42 patients with RCC were collected and performed for the Next Generation Sequencing (NGS) with Geneseeq PrimeTM 425-gene panel probes. Their landscapes of gene mutation were analyzed. We also carried out an evaluation of Tumor-Node-Metastasis (TNM) staging, RENAL nephelometry score, surgery, and targeted drug treatment of patients. Then we compared the correlations of landscape in gene mutations and the prognosis. RESULTS: The most common gene alternations, including BAP1, PBRM1, SETD2, CSF1R, NPM1, EGFR, POLE, RB1, and VHL genes, were identified in tissue and blood samples of 75% of patients. EGFR, POLE, and RB1 gene mutations frequently occurred in relapsed and metastatic patients. BAP1, CCND2, KRAS, PTPN11, ERBB2/3, JAK2, and POLE were presented in the patients with > 9 RENAL nephelometry score. Univariable analysis indicated that SETD2, BAP1, and PBRM1 genes were key factors for Disease-Free Survival (DFS). Multivariable analysis confirmed that mutated SETD1, NPM1, and CSF1R were critical factors for the Progression Free Survival (PFS) of RCC patients with target therapy. CONCLUSIONS: Wild-type PBRM1 and mutated BAP1 in patients with RCC were strongly associated with the outcomes of the patient. The PFS of the patients with SETD2, NPM1, and CSF1R mutations were significantly shorter than those patients without variants. Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo 2023-07-27 /pmc/articles/PMC10410166/ /pubmed/37515929 http://dx.doi.org/10.1016/j.clinsp.2023.100259 Text en © 2023 HCFMUSP. Published by Elsevier España, S.L.U. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Articles
Wang, Yongquan
He, Peng
Zhou, Xiaozhou
Wang, Cong
Fu, Jian
Zhang, Dawei
Liao, Deyang
Zhou, Zhansong
Wu, Chunman
Gong, Wei
Gene mutation profiling and clinical significances in patients with renal cell carcinoma
title Gene mutation profiling and clinical significances in patients with renal cell carcinoma
title_full Gene mutation profiling and clinical significances in patients with renal cell carcinoma
title_fullStr Gene mutation profiling and clinical significances in patients with renal cell carcinoma
title_full_unstemmed Gene mutation profiling and clinical significances in patients with renal cell carcinoma
title_short Gene mutation profiling and clinical significances in patients with renal cell carcinoma
title_sort gene mutation profiling and clinical significances in patients with renal cell carcinoma
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410166/
https://www.ncbi.nlm.nih.gov/pubmed/37515929
http://dx.doi.org/10.1016/j.clinsp.2023.100259
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