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ATM/RB1 mutations predict shorter overall survival in urothelial cancer
BACKGROUND: Mutations of DNA repair genes, e.g. ATM/RB1, are frequently found in urothelial cancer (UC) and have been associated with better response to cisplatin-based chemotherapy. Further external validation of the prognostic value of ATM/RB1 mutations in UC can inform clinical decision making an...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908293/ https://www.ncbi.nlm.nih.gov/pubmed/29682192 http://dx.doi.org/10.18632/oncotarget.24738 |
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author | Yin, Ming Grivas, Petros Emamekhoo, Hamid Mendiratta, Prateek Ali, Siraj Hsu, JoAnn Vasekar, Monali Drabick, Joseph J. Pal, Sumanta Joshi, Monika |
author_facet | Yin, Ming Grivas, Petros Emamekhoo, Hamid Mendiratta, Prateek Ali, Siraj Hsu, JoAnn Vasekar, Monali Drabick, Joseph J. Pal, Sumanta Joshi, Monika |
author_sort | Yin, Ming |
collection | PubMed |
description | BACKGROUND: Mutations of DNA repair genes, e.g. ATM/RB1, are frequently found in urothelial cancer (UC) and have been associated with better response to cisplatin-based chemotherapy. Further external validation of the prognostic value of ATM/RB1 mutations in UC can inform clinical decision making and trial designs. RESULTS: In the discovery dataset, ATM/RB1 mutations were present in 24% of patients and were associated with shorter OS (adjusted HR 2.67, 95% CI, 1.45–4.92, p = 0.002). There was a higher mutation load in patients carrying ATM/RB1 mutations (median mutation load: 6.7 versus 5.5 per Mb, p = 0.072). In the validation dataset, ATM/RB1 mutations were present in 22.2% of patients and were non-significantly associated with shorter OS (adjusted HR 1.87, 95% CI, 0.97–3.59, p = 0.06) and higher mutation load (median mutation load: 8.1 versus 7.2 per Mb, p = 0.126). MATERIALS AND METHODS: Exome sequencing data of 130 bladder UC patients from The Cancer Genome Atlas (TCGA) dataset were analyzed as a discovery cohort to determine the prognostic value of ATM/RB1 mutations. Results were validated in an independent cohort of 81 advanced UC patients. Cox proportional hazard regression analysis was performed to calculate the hazard ratio (HR) and 95% confidence interval (CI) to compare overall survival (OS). CONCLUSIONS: ATM/RB1 mutations may be a biomarker of poor prognosis in unselected UC patients and may correlate with higher mutational load. Further studies are required to determine factors that can further stratify prognosis and evaluate predictive role of ATM/RB1 mutation status to immunotherapy and platinum-based chemotherapy. |
format | Online Article Text |
id | pubmed-5908293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-59082932018-04-20 ATM/RB1 mutations predict shorter overall survival in urothelial cancer Yin, Ming Grivas, Petros Emamekhoo, Hamid Mendiratta, Prateek Ali, Siraj Hsu, JoAnn Vasekar, Monali Drabick, Joseph J. Pal, Sumanta Joshi, Monika Oncotarget Research Paper BACKGROUND: Mutations of DNA repair genes, e.g. ATM/RB1, are frequently found in urothelial cancer (UC) and have been associated with better response to cisplatin-based chemotherapy. Further external validation of the prognostic value of ATM/RB1 mutations in UC can inform clinical decision making and trial designs. RESULTS: In the discovery dataset, ATM/RB1 mutations were present in 24% of patients and were associated with shorter OS (adjusted HR 2.67, 95% CI, 1.45–4.92, p = 0.002). There was a higher mutation load in patients carrying ATM/RB1 mutations (median mutation load: 6.7 versus 5.5 per Mb, p = 0.072). In the validation dataset, ATM/RB1 mutations were present in 22.2% of patients and were non-significantly associated with shorter OS (adjusted HR 1.87, 95% CI, 0.97–3.59, p = 0.06) and higher mutation load (median mutation load: 8.1 versus 7.2 per Mb, p = 0.126). MATERIALS AND METHODS: Exome sequencing data of 130 bladder UC patients from The Cancer Genome Atlas (TCGA) dataset were analyzed as a discovery cohort to determine the prognostic value of ATM/RB1 mutations. Results were validated in an independent cohort of 81 advanced UC patients. Cox proportional hazard regression analysis was performed to calculate the hazard ratio (HR) and 95% confidence interval (CI) to compare overall survival (OS). CONCLUSIONS: ATM/RB1 mutations may be a biomarker of poor prognosis in unselected UC patients and may correlate with higher mutational load. Further studies are required to determine factors that can further stratify prognosis and evaluate predictive role of ATM/RB1 mutation status to immunotherapy and platinum-based chemotherapy. Impact Journals LLC 2018-03-30 /pmc/articles/PMC5908293/ /pubmed/29682192 http://dx.doi.org/10.18632/oncotarget.24738 Text en Copyright: © 2018 Yin et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Yin, Ming Grivas, Petros Emamekhoo, Hamid Mendiratta, Prateek Ali, Siraj Hsu, JoAnn Vasekar, Monali Drabick, Joseph J. Pal, Sumanta Joshi, Monika ATM/RB1 mutations predict shorter overall survival in urothelial cancer |
title | ATM/RB1 mutations predict shorter overall survival in urothelial cancer |
title_full | ATM/RB1 mutations predict shorter overall survival in urothelial cancer |
title_fullStr | ATM/RB1 mutations predict shorter overall survival in urothelial cancer |
title_full_unstemmed | ATM/RB1 mutations predict shorter overall survival in urothelial cancer |
title_short | ATM/RB1 mutations predict shorter overall survival in urothelial cancer |
title_sort | atm/rb1 mutations predict shorter overall survival in urothelial cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908293/ https://www.ncbi.nlm.nih.gov/pubmed/29682192 http://dx.doi.org/10.18632/oncotarget.24738 |
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