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

Authors

  • Yongquan Wang Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
  • Peng He Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
  • Xiaozhou Zhou Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
  • Cong Wang Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
  • Jian Fu Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
  • Dawei Zhang Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
  • Deyang Liao Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing,
  • Zhansong Zhou Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
  • Chunman Wu Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, Chin
  • Wei Gong * Gong Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China https://orcid.org/0000-0002-6033-2379

DOI:

https://doi.org/10.1016/

Keywords:

BAP1, Next generation sequences, Overall survival, PBRM1, Renal cell carcinoma, Renal score

Abstract

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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Published

2023-09-13

Issue

Section

Original Articles

How to Cite

Wang, Y., He, P., Zhou, X., Wang, C., Fu, J., Zhang, D., Liao, D., Zhou, Z., Wu, C., & Gong , W. G. *. (2023). Gene mutation profiling and clinical significances in patients with renal cell carcinoma. Clinics, 78, 100259 . https://doi.org/10.1016/