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The Genomic Landscape of Colorectal Cancer in the Saudi Arabian Population Using a Comprehensive Genomic Panel

Purpose: Next-generation sequencing (NGS) technology detects specific mutations that can provide treatment opportunities for colorectal cancer (CRC) patients. Patients and Methods: We analyzed the mutation frequencies of common actionable genes and their association with clinicopathological characte...

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Autores principales: Alsolme, Ebtehal, Alqahtani, Saleh, Fageeh, Musa, Barakeh, Duna, Sharma, Nitesh K., Mangul, Serghei, Robinson, Heather A., Fathaddin, Amany, Hauser, Charlotte A. E., Abedalthagafi, Malak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10527739/
https://www.ncbi.nlm.nih.gov/pubmed/37761360
http://dx.doi.org/10.3390/diagnostics13182993
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author Alsolme, Ebtehal
Alqahtani, Saleh
Fageeh, Musa
Barakeh, Duna
Sharma, Nitesh K.
Mangul, Serghei
Robinson, Heather A.
Fathaddin, Amany
Hauser, Charlotte A. E.
Abedalthagafi, Malak
author_facet Alsolme, Ebtehal
Alqahtani, Saleh
Fageeh, Musa
Barakeh, Duna
Sharma, Nitesh K.
Mangul, Serghei
Robinson, Heather A.
Fathaddin, Amany
Hauser, Charlotte A. E.
Abedalthagafi, Malak
author_sort Alsolme, Ebtehal
collection PubMed
description Purpose: Next-generation sequencing (NGS) technology detects specific mutations that can provide treatment opportunities for colorectal cancer (CRC) patients. Patients and Methods: We analyzed the mutation frequencies of common actionable genes and their association with clinicopathological characteristics and oncologic outcomes using targeted NGS in 107 Saudi Arabian patients without a family history of CRC. Results: Approximately 98% of patients had genetic alterations. Frequent mutations were observed in BRCA2 (79%), CHEK1 (78%), ATM (76%), PMS2 (76%), ATR (74%), and MYCL (73%). The APC gene was not included in the panel. Statistical analysis using the Cox proportional hazards model revealed an unusual positive association between poorly differentiated tumors and survival rates (p = 0.025). Although no significant univariate associations between specific mutations or overall mutation rate and overall survival were found, our preliminary analysis of the molecular markers for CRC in a predominantly Arab population can provide insights into the molecular pathways that play a significant role in the underlying disease progression. Conclusions: These results may help optimize personalized therapy when drugs specific to a patient’s mutation profile have already been developed.
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spelling pubmed-105277392023-09-28 The Genomic Landscape of Colorectal Cancer in the Saudi Arabian Population Using a Comprehensive Genomic Panel Alsolme, Ebtehal Alqahtani, Saleh Fageeh, Musa Barakeh, Duna Sharma, Nitesh K. Mangul, Serghei Robinson, Heather A. Fathaddin, Amany Hauser, Charlotte A. E. Abedalthagafi, Malak Diagnostics (Basel) Article Purpose: Next-generation sequencing (NGS) technology detects specific mutations that can provide treatment opportunities for colorectal cancer (CRC) patients. Patients and Methods: We analyzed the mutation frequencies of common actionable genes and their association with clinicopathological characteristics and oncologic outcomes using targeted NGS in 107 Saudi Arabian patients without a family history of CRC. Results: Approximately 98% of patients had genetic alterations. Frequent mutations were observed in BRCA2 (79%), CHEK1 (78%), ATM (76%), PMS2 (76%), ATR (74%), and MYCL (73%). The APC gene was not included in the panel. Statistical analysis using the Cox proportional hazards model revealed an unusual positive association between poorly differentiated tumors and survival rates (p = 0.025). Although no significant univariate associations between specific mutations or overall mutation rate and overall survival were found, our preliminary analysis of the molecular markers for CRC in a predominantly Arab population can provide insights into the molecular pathways that play a significant role in the underlying disease progression. Conclusions: These results may help optimize personalized therapy when drugs specific to a patient’s mutation profile have already been developed. MDPI 2023-09-19 /pmc/articles/PMC10527739/ /pubmed/37761360 http://dx.doi.org/10.3390/diagnostics13182993 Text en © 2023 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
Alsolme, Ebtehal
Alqahtani, Saleh
Fageeh, Musa
Barakeh, Duna
Sharma, Nitesh K.
Mangul, Serghei
Robinson, Heather A.
Fathaddin, Amany
Hauser, Charlotte A. E.
Abedalthagafi, Malak
The Genomic Landscape of Colorectal Cancer in the Saudi Arabian Population Using a Comprehensive Genomic Panel
title The Genomic Landscape of Colorectal Cancer in the Saudi Arabian Population Using a Comprehensive Genomic Panel
title_full The Genomic Landscape of Colorectal Cancer in the Saudi Arabian Population Using a Comprehensive Genomic Panel
title_fullStr The Genomic Landscape of Colorectal Cancer in the Saudi Arabian Population Using a Comprehensive Genomic Panel
title_full_unstemmed The Genomic Landscape of Colorectal Cancer in the Saudi Arabian Population Using a Comprehensive Genomic Panel
title_short The Genomic Landscape of Colorectal Cancer in the Saudi Arabian Population Using a Comprehensive Genomic Panel
title_sort genomic landscape of colorectal cancer in the saudi arabian population using a comprehensive genomic panel
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10527739/
https://www.ncbi.nlm.nih.gov/pubmed/37761360
http://dx.doi.org/10.3390/diagnostics13182993
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