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Genome-Wide Meta-Analysis Identifies Variants in DSCAM and PDLIM3 That Correlate with Efficacy Outcomes in Metastatic Renal Cell Carcinoma Patients Treated with Sunitinib
SIMPLE SUMMARY: The drug sunitinib is used in metastatic renal cell carcinoma, but patients respond very differently to this drug. To better tailor sunitinib treatment to the individual patient, clinically useful markers are needed. We explored the DNA of patients with metastatic renal cell cancer t...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9220885/ https://www.ncbi.nlm.nih.gov/pubmed/35740506 http://dx.doi.org/10.3390/cancers14122838 |
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author | Diekstra, Meta H. M. Swen, Jesse J. van der Zanden, Loes F. M. Vermeulen, Sita H. Boven, Epie Mathijssen, Ron H. J. Fukunaga, Koya Mushiroda, Taisei Hongo, Fumiya Oosterwijk, Egbert Cambon-Thomsen, Anne Castellano, Daniel Fritsch, Achim Donas, Jesus Garcia Rodriguez-Antona, Cristina Ruijtenbeek, Rob Radu, Marius T. Eisen, Tim Junker, Kerstin Roessler, Max Jaehde, Ulrich Miki, Tsuneharu Böhringer, Stefan Kubo, Michiaki Kiemeney, Lambertus A. L. M. Guchelaar, Henk-Jan |
author_facet | Diekstra, Meta H. M. Swen, Jesse J. van der Zanden, Loes F. M. Vermeulen, Sita H. Boven, Epie Mathijssen, Ron H. J. Fukunaga, Koya Mushiroda, Taisei Hongo, Fumiya Oosterwijk, Egbert Cambon-Thomsen, Anne Castellano, Daniel Fritsch, Achim Donas, Jesus Garcia Rodriguez-Antona, Cristina Ruijtenbeek, Rob Radu, Marius T. Eisen, Tim Junker, Kerstin Roessler, Max Jaehde, Ulrich Miki, Tsuneharu Böhringer, Stefan Kubo, Michiaki Kiemeney, Lambertus A. L. M. Guchelaar, Henk-Jan |
author_sort | Diekstra, Meta H. M. |
collection | PubMed |
description | SIMPLE SUMMARY: The drug sunitinib is used in metastatic renal cell carcinoma, but patients respond very differently to this drug. To better tailor sunitinib treatment to the individual patient, clinically useful markers are needed. We explored the DNA of patients with metastatic renal cell cancer to detect variations that determine how a patient would respond to sunitinib treatment. We investigated >8 million genetic variants in large patient cohorts from Europe (n = 550) and Japan (n = 204) and found novel genetic variants in PDLIM3 and DSCAM that are related to survival in sunitinib-treated patients. The mechanistic role of these variants in the action of sunitinib needs to be further explored to define its clinical potential. Our findings are a major step towards achieving personalized treatment for patients with metastatic renal cell carcinoma. ABSTRACT: Individual response to sunitinib in metastatic renal cell carcinoma (mRCC) patients is highly variable. Earlier, sunitinib outcome was related to single nucleotide polymorphisms (SNPs) in CYP3A5 and ABCB1. Our aim is to provide novel insights into biological mechanisms underlying sunitinib action. We included mRCC patients from the European EuroTARGET consortium (n = 550) and the RIKEN cohort in Japan (n = 204) which were analysed separately and in a meta-analysis of genome-wide association studies (GWAS). SNPs were tested for association with progression-free survival (PFS) and overall survival (OS) using Cox regression. Summary statistics were combined using a fixed effect meta-analysis. SNP rs28520013 in PDLIM3 and the correlated SNPs rs2205096 and rs111356738 both in DSCAM, showed genome-wide significance (p < 5 × 10(−8)) with PFS and OS in the meta-analysis. The variant T-allele of rs28520013 associated with an inferior PFS of 5.1 months compared to 12.5 months in non-carriers (p = 4.02 × 10(−10), HR = 7.26). T-allele carriers of rs28520013 showed an inferior OS of 6.9 months versus 30.2 months in non-carriers (p = 1.62 × 10(−8), HR = 5.96). In this GWAS we identified novel genetic variants in PDLIM3 and DSCAM that impact PFS and OS in mRCC patients receiving sunitinib. The underlying link between the identified genes and the molecular mechanisms of sunitinib action needs to be elucidated. |
format | Online Article Text |
id | pubmed-9220885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92208852022-06-24 Genome-Wide Meta-Analysis Identifies Variants in DSCAM and PDLIM3 That Correlate with Efficacy Outcomes in Metastatic Renal Cell Carcinoma Patients Treated with Sunitinib Diekstra, Meta H. M. Swen, Jesse J. van der Zanden, Loes F. M. Vermeulen, Sita H. Boven, Epie Mathijssen, Ron H. J. Fukunaga, Koya Mushiroda, Taisei Hongo, Fumiya Oosterwijk, Egbert Cambon-Thomsen, Anne Castellano, Daniel Fritsch, Achim Donas, Jesus Garcia Rodriguez-Antona, Cristina Ruijtenbeek, Rob Radu, Marius T. Eisen, Tim Junker, Kerstin Roessler, Max Jaehde, Ulrich Miki, Tsuneharu Böhringer, Stefan Kubo, Michiaki Kiemeney, Lambertus A. L. M. Guchelaar, Henk-Jan Cancers (Basel) Article SIMPLE SUMMARY: The drug sunitinib is used in metastatic renal cell carcinoma, but patients respond very differently to this drug. To better tailor sunitinib treatment to the individual patient, clinically useful markers are needed. We explored the DNA of patients with metastatic renal cell cancer to detect variations that determine how a patient would respond to sunitinib treatment. We investigated >8 million genetic variants in large patient cohorts from Europe (n = 550) and Japan (n = 204) and found novel genetic variants in PDLIM3 and DSCAM that are related to survival in sunitinib-treated patients. The mechanistic role of these variants in the action of sunitinib needs to be further explored to define its clinical potential. Our findings are a major step towards achieving personalized treatment for patients with metastatic renal cell carcinoma. ABSTRACT: Individual response to sunitinib in metastatic renal cell carcinoma (mRCC) patients is highly variable. Earlier, sunitinib outcome was related to single nucleotide polymorphisms (SNPs) in CYP3A5 and ABCB1. Our aim is to provide novel insights into biological mechanisms underlying sunitinib action. We included mRCC patients from the European EuroTARGET consortium (n = 550) and the RIKEN cohort in Japan (n = 204) which were analysed separately and in a meta-analysis of genome-wide association studies (GWAS). SNPs were tested for association with progression-free survival (PFS) and overall survival (OS) using Cox regression. Summary statistics were combined using a fixed effect meta-analysis. SNP rs28520013 in PDLIM3 and the correlated SNPs rs2205096 and rs111356738 both in DSCAM, showed genome-wide significance (p < 5 × 10(−8)) with PFS and OS in the meta-analysis. The variant T-allele of rs28520013 associated with an inferior PFS of 5.1 months compared to 12.5 months in non-carriers (p = 4.02 × 10(−10), HR = 7.26). T-allele carriers of rs28520013 showed an inferior OS of 6.9 months versus 30.2 months in non-carriers (p = 1.62 × 10(−8), HR = 5.96). In this GWAS we identified novel genetic variants in PDLIM3 and DSCAM that impact PFS and OS in mRCC patients receiving sunitinib. The underlying link between the identified genes and the molecular mechanisms of sunitinib action needs to be elucidated. MDPI 2022-06-08 /pmc/articles/PMC9220885/ /pubmed/35740506 http://dx.doi.org/10.3390/cancers14122838 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Diekstra, Meta H. M. Swen, Jesse J. van der Zanden, Loes F. M. Vermeulen, Sita H. Boven, Epie Mathijssen, Ron H. J. Fukunaga, Koya Mushiroda, Taisei Hongo, Fumiya Oosterwijk, Egbert Cambon-Thomsen, Anne Castellano, Daniel Fritsch, Achim Donas, Jesus Garcia Rodriguez-Antona, Cristina Ruijtenbeek, Rob Radu, Marius T. Eisen, Tim Junker, Kerstin Roessler, Max Jaehde, Ulrich Miki, Tsuneharu Böhringer, Stefan Kubo, Michiaki Kiemeney, Lambertus A. L. M. Guchelaar, Henk-Jan Genome-Wide Meta-Analysis Identifies Variants in DSCAM and PDLIM3 That Correlate with Efficacy Outcomes in Metastatic Renal Cell Carcinoma Patients Treated with Sunitinib |
title | Genome-Wide Meta-Analysis Identifies Variants in DSCAM and PDLIM3 That Correlate with Efficacy Outcomes in Metastatic Renal Cell Carcinoma Patients Treated with Sunitinib |
title_full | Genome-Wide Meta-Analysis Identifies Variants in DSCAM and PDLIM3 That Correlate with Efficacy Outcomes in Metastatic Renal Cell Carcinoma Patients Treated with Sunitinib |
title_fullStr | Genome-Wide Meta-Analysis Identifies Variants in DSCAM and PDLIM3 That Correlate with Efficacy Outcomes in Metastatic Renal Cell Carcinoma Patients Treated with Sunitinib |
title_full_unstemmed | Genome-Wide Meta-Analysis Identifies Variants in DSCAM and PDLIM3 That Correlate with Efficacy Outcomes in Metastatic Renal Cell Carcinoma Patients Treated with Sunitinib |
title_short | Genome-Wide Meta-Analysis Identifies Variants in DSCAM and PDLIM3 That Correlate with Efficacy Outcomes in Metastatic Renal Cell Carcinoma Patients Treated with Sunitinib |
title_sort | genome-wide meta-analysis identifies variants in dscam and pdlim3 that correlate with efficacy outcomes in metastatic renal cell carcinoma patients treated with sunitinib |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9220885/ https://www.ncbi.nlm.nih.gov/pubmed/35740506 http://dx.doi.org/10.3390/cancers14122838 |
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