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Genomic profiles of Indonesian colorectal cancer patients

Background: Colorectal cancer (CRC) is one of the most commonly diagnosed cancers worldwide and genetic mutation plays a vital role in CRC development. A previous study has suggested that genetic alterations among Indonesian patients with CRC might differ from those known in developed countries. Thi...

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Autores principales: Abdullah, Murdani, Meilany, Sofy, Trimarsanto, Hidayat, Malik, Safarina G., Sukartini, Ninik, Idrus, Firhat, Nursyirwan, Saskia A., Muzellina, Virly N., Pribadi, Rabbinu R., Utari, Amanda P., Maulahela, Hasan, Syam, Ari F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10133825/
https://www.ncbi.nlm.nih.gov/pubmed/37125020
http://dx.doi.org/10.12688/f1000research.109136.2
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author Abdullah, Murdani
Meilany, Sofy
Trimarsanto, Hidayat
Malik, Safarina G.
Sukartini, Ninik
Idrus, Firhat
Nursyirwan, Saskia A.
Muzellina, Virly N.
Pribadi, Rabbinu R.
Utari, Amanda P.
Maulahela, Hasan
Syam, Ari F.
author_facet Abdullah, Murdani
Meilany, Sofy
Trimarsanto, Hidayat
Malik, Safarina G.
Sukartini, Ninik
Idrus, Firhat
Nursyirwan, Saskia A.
Muzellina, Virly N.
Pribadi, Rabbinu R.
Utari, Amanda P.
Maulahela, Hasan
Syam, Ari F.
author_sort Abdullah, Murdani
collection PubMed
description Background: Colorectal cancer (CRC) is one of the most commonly diagnosed cancers worldwide and genetic mutation plays a vital role in CRC development. A previous study has suggested that genetic alterations among Indonesian patients with CRC might differ from those known in developed countries. This study aimed to describe the genomic profiles of Indonesian patients with CRC. Methods: A total of 13 patients were recruited for this study from May to July 2019. Tissue samples were collected, and genomic DNA was extracted from the samples. AmpliSeq for Illumina Cancer HotSpot Panel v2 Next-generation sequencing was used for DNA sequencing and a genome analysis toolkit was used for local realignment around the discovered variants. Results: A total of 45 genes comprising 391 single nucleotide variants (SNVs) with a depth >10 were observed. The genes with the most variants were STK11, SMAD4, EGFR, and ERBB4 and the genes with the most non-synonymous variants were SMAD4, TP53, FGFR3, CDKN2A, and STK11. Genes and SNVs in at least 90% of all samples consisted of 43 genes comprising 286 variants. Genes with the most non-synonymous SNVs were EGFR, SMO, FGFR3, TP53, STK11, CDKN2A. Genes related to the chromosomal instability pathway, such as TP53, SMAD4, KRAS, and APC, are also found in the analysis. Conclusions: Our findings showed that all patients with CRC in this study had genetic mutations in the chromosomal instability pathway. Analysis of genetic mutation of Indonesian patients with CRC might be crucial for advanced targeted therapy and for better clinical outcomes.
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spelling pubmed-101338252023-04-28 Genomic profiles of Indonesian colorectal cancer patients Abdullah, Murdani Meilany, Sofy Trimarsanto, Hidayat Malik, Safarina G. Sukartini, Ninik Idrus, Firhat Nursyirwan, Saskia A. Muzellina, Virly N. Pribadi, Rabbinu R. Utari, Amanda P. Maulahela, Hasan Syam, Ari F. F1000Res Research Article Background: Colorectal cancer (CRC) is one of the most commonly diagnosed cancers worldwide and genetic mutation plays a vital role in CRC development. A previous study has suggested that genetic alterations among Indonesian patients with CRC might differ from those known in developed countries. This study aimed to describe the genomic profiles of Indonesian patients with CRC. Methods: A total of 13 patients were recruited for this study from May to July 2019. Tissue samples were collected, and genomic DNA was extracted from the samples. AmpliSeq for Illumina Cancer HotSpot Panel v2 Next-generation sequencing was used for DNA sequencing and a genome analysis toolkit was used for local realignment around the discovered variants. Results: A total of 45 genes comprising 391 single nucleotide variants (SNVs) with a depth >10 were observed. The genes with the most variants were STK11, SMAD4, EGFR, and ERBB4 and the genes with the most non-synonymous variants were SMAD4, TP53, FGFR3, CDKN2A, and STK11. Genes and SNVs in at least 90% of all samples consisted of 43 genes comprising 286 variants. Genes with the most non-synonymous SNVs were EGFR, SMO, FGFR3, TP53, STK11, CDKN2A. Genes related to the chromosomal instability pathway, such as TP53, SMAD4, KRAS, and APC, are also found in the analysis. Conclusions: Our findings showed that all patients with CRC in this study had genetic mutations in the chromosomal instability pathway. Analysis of genetic mutation of Indonesian patients with CRC might be crucial for advanced targeted therapy and for better clinical outcomes. F1000 Research Limited 2023-02-21 /pmc/articles/PMC10133825/ /pubmed/37125020 http://dx.doi.org/10.12688/f1000research.109136.2 Text en Copyright: © 2023 Abdullah M et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Abdullah, Murdani
Meilany, Sofy
Trimarsanto, Hidayat
Malik, Safarina G.
Sukartini, Ninik
Idrus, Firhat
Nursyirwan, Saskia A.
Muzellina, Virly N.
Pribadi, Rabbinu R.
Utari, Amanda P.
Maulahela, Hasan
Syam, Ari F.
Genomic profiles of Indonesian colorectal cancer patients
title Genomic profiles of Indonesian colorectal cancer patients
title_full Genomic profiles of Indonesian colorectal cancer patients
title_fullStr Genomic profiles of Indonesian colorectal cancer patients
title_full_unstemmed Genomic profiles of Indonesian colorectal cancer patients
title_short Genomic profiles of Indonesian colorectal cancer patients
title_sort genomic profiles of indonesian colorectal cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10133825/
https://www.ncbi.nlm.nih.gov/pubmed/37125020
http://dx.doi.org/10.12688/f1000research.109136.2
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