Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues

Colorectal cancer poses a significant threat to global health, necessitating the development of effective early detection techniques. However, the potential of the fungal microbiome as a puta- tive biomarker for the detection of colorectal adenocarcinoma has not been extensively explored. We analyze...

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Main Authors: Aisyah, Yunus, Norfilza, Mohd Mokhtar, Raja Affendi, Raja Ali, Siti Maryamg, Ahmad Kendon, Hajar Fauzan, Ahmad
Format: Article
Language:English
Published: Elsevier B.V. 2024
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/40520/
http://umpir.ump.edu.my/id/eprint/40520/1/Methods%20for%20identification%20of%20the%20opportunistic%20gut%20mycobiome%20from%20colorectal%20adenocarcinoma%20biopsy%20tissues.pdf
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author Aisyah, Yunus
Norfilza, Mohd Mokhtar
Raja Affendi, Raja Ali
Siti Maryamg, Ahmad Kendon
Hajar Fauzan, Ahmad
author_facet Aisyah, Yunus
Norfilza, Mohd Mokhtar
Raja Affendi, Raja Ali
Siti Maryamg, Ahmad Kendon
Hajar Fauzan, Ahmad
author_sort Aisyah, Yunus
building UMP Institutional Repository
collection Online Access
description Colorectal cancer poses a significant threat to global health, necessitating the development of effective early detection techniques. However, the potential of the fungal microbiome as a puta- tive biomarker for the detection of colorectal adenocarcinoma has not been extensively explored. We analyzed the viability of implementing the fungal mycobiome for this purpose. Biopsies were collected from cancer and polyp patients. The total genomic DNA was extracted from the biopsy samples by utilizing a comprehensive kit to ensure optimal microbial DNA recovery. To character- ize the composition and diversity of the fungal mycobiome, high-throughput amplicon sequencing targeting the internal transcribed spacer 1 (ITS1) region was proposed. A comparative analysis re- vealed discrete fungal profiles among the diseased groups. Here, we also proposed pipelines based on a predictive model using statistical and machine learning algorithms to accurately differentiate colorectal adenocarcinoma and polyp patients from normal individuals. These findings suggest the utility of gut mycobiome as biomarkers for the detection of colorectal adenocarcinoma. Ex- panding our understanding of the role of the gut mycobiome in disease detection creates novel opportunities for early intervention and personalized therapeutic strategies for colorectal cancer.
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spelling ump-405202024-02-29T07:48:20Z http://umpir.ump.edu.my/id/eprint/40520/ Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues Aisyah, Yunus Norfilza, Mohd Mokhtar Raja Affendi, Raja Ali Siti Maryamg, Ahmad Kendon Hajar Fauzan, Ahmad Q Science (General) QP Physiology RB Pathology Colorectal cancer poses a significant threat to global health, necessitating the development of effective early detection techniques. However, the potential of the fungal microbiome as a puta- tive biomarker for the detection of colorectal adenocarcinoma has not been extensively explored. We analyzed the viability of implementing the fungal mycobiome for this purpose. Biopsies were collected from cancer and polyp patients. The total genomic DNA was extracted from the biopsy samples by utilizing a comprehensive kit to ensure optimal microbial DNA recovery. To character- ize the composition and diversity of the fungal mycobiome, high-throughput amplicon sequencing targeting the internal transcribed spacer 1 (ITS1) region was proposed. A comparative analysis re- vealed discrete fungal profiles among the diseased groups. Here, we also proposed pipelines based on a predictive model using statistical and machine learning algorithms to accurately differentiate colorectal adenocarcinoma and polyp patients from normal individuals. These findings suggest the utility of gut mycobiome as biomarkers for the detection of colorectal adenocarcinoma. Ex- panding our understanding of the role of the gut mycobiome in disease detection creates novel opportunities for early intervention and personalized therapeutic strategies for colorectal cancer. Elsevier B.V. 2024-02-26 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/40520/1/Methods%20for%20identification%20of%20the%20opportunistic%20gut%20mycobiome%20from%20colorectal%20adenocarcinoma%20biopsy%20tissues.pdf Aisyah, Yunus and Norfilza, Mohd Mokhtar and Raja Affendi, Raja Ali and Siti Maryamg, Ahmad Kendon and Hajar Fauzan, Ahmad (2024) Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues. MethodsX, 12 (102623). pp. 1-9. ISSN 2215-0161. (Published) https://doi.org/10.1016/j.mex.2024.102623 https://doi.org/10.1016/j.mex.2024.102623
spellingShingle Q Science (General)
QP Physiology
RB Pathology
Aisyah, Yunus
Norfilza, Mohd Mokhtar
Raja Affendi, Raja Ali
Siti Maryamg, Ahmad Kendon
Hajar Fauzan, Ahmad
Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
title Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
title_full Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
title_fullStr Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
title_full_unstemmed Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
title_short Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
title_sort methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
topic Q Science (General)
QP Physiology
RB Pathology
url http://umpir.ump.edu.my/id/eprint/40520/
http://umpir.ump.edu.my/id/eprint/40520/
http://umpir.ump.edu.my/id/eprint/40520/
http://umpir.ump.edu.my/id/eprint/40520/1/Methods%20for%20identification%20of%20the%20opportunistic%20gut%20mycobiome%20from%20colorectal%20adenocarcinoma%20biopsy%20tissues.pdf