Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
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 |
_version_ | 1785111183282405376 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10527739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT alsolmeebtehal thegenomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT alqahtanisaleh thegenomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT fageehmusa thegenomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT barakehduna thegenomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT sharmaniteshk thegenomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT mangulserghei thegenomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT robinsonheathera thegenomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT fathaddinamany thegenomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT hausercharlotteae thegenomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT abedalthagafimalak thegenomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT alsolmeebtehal genomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT alqahtanisaleh genomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT fageehmusa genomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT barakehduna genomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT sharmaniteshk genomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT mangulserghei genomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT robinsonheathera genomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT fathaddinamany genomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT hausercharlotteae genomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel AT abedalthagafimalak genomiclandscapeofcolorectalcancerinthesaudiarabianpopulationusingacomprehensivegenomicpanel |