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Novel multiplex stool-based assay for the detection of early-stage colon cancer in a Chinese population
BACKGROUND: Stool DNA (sDNA) methylation analysis is a promising, noninvasive approach for colorectal cancer screening; however, reliable biomarkers for detecting early-stage colon cancer (ECC) are lacking, particularly in the Chinese population. AIM: To identify a novel stool-based assay that can i...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260868/ https://www.ncbi.nlm.nih.gov/pubmed/35979157 http://dx.doi.org/10.3748/wjg.v28.i24.2705 |
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author | Jiang, Hui-Hong Xing, Si-Wei Tang, Xuan Chen, Ying Lin, Kang He, Lu-Wei Lin, Mou-Bin Tang, Er-Jiang |
author_facet | Jiang, Hui-Hong Xing, Si-Wei Tang, Xuan Chen, Ying Lin, Kang He, Lu-Wei Lin, Mou-Bin Tang, Er-Jiang |
author_sort | Jiang, Hui-Hong |
collection | PubMed |
description | BACKGROUND: Stool DNA (sDNA) methylation analysis is a promising, noninvasive approach for colorectal cancer screening; however, reliable biomarkers for detecting early-stage colon cancer (ECC) are lacking, particularly in the Chinese population. AIM: To identify a novel stool-based assay that can improve the effectiveness of ECC screening. METHODS: A blinded case-control study was performed using archived stool samples from 125 ECC patients, and 125 control subjects with normal colonoscopy. The cohort was randomly divided into training and test sets at a 1.5:1 ratio. Targeted bisulfite sequencing (TBSeq) was conducted on five pairs of preoperative and postop-erative sDNA samples from ECC patients to identify DNA methylation biomarkers, which were validated using pyrosequencing. By logistic regression analysis, a multiplex stool-based assay was developed in the training set, and the detection performance was further assessed in the test set and combined set. The χ(2) test was used to investigate the association of detection sensitivity with clinico-pathological features. RESULTS: Following TBSeq, three hypermethylated cytosine-guanine sites were selected as biomarkers, including paired box 8, Ras-association domain family 1 and secreted frizzled-related protein 2, which differed between the groups and were involved in important cancer pathways. An sDNA panel containing the three biomarkers was constructed with a logistic model. Receiver operating characteristic (ROC) analysis revealed that this panel was superior to the fecal immunochemical test (FIT) or serum carcinoembryonic antigen for the detection of ECC. We further found that the combination of the sDNA panel with FIT could improve the screening effectiveness. In the combined set, the sensitivity, specificity and area under the ROC curve for this multiplex assay were 80.0%, 93.6% and 0.918, respectively, and the performance remained excellent in the subgroup analysis by tumor stage. In addition, the detection sensitivity did not differ with tumor site, tumor stage, histological differentiation, age or sex, but was significantly higher in T4 than in T1-3 stage tumors (P = 0.041). CONCLUSION: We identified a novel multiplex stool-based assay combining sDNA methylation biomarkers and FIT, which could detect ECC with high sensitivity and specificity throughout the colon, showing a promising application perspective. |
format | Online Article Text |
id | pubmed-9260868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-92608682022-08-16 Novel multiplex stool-based assay for the detection of early-stage colon cancer in a Chinese population Jiang, Hui-Hong Xing, Si-Wei Tang, Xuan Chen, Ying Lin, Kang He, Lu-Wei Lin, Mou-Bin Tang, Er-Jiang World J Gastroenterol Clinical and Translational Research BACKGROUND: Stool DNA (sDNA) methylation analysis is a promising, noninvasive approach for colorectal cancer screening; however, reliable biomarkers for detecting early-stage colon cancer (ECC) are lacking, particularly in the Chinese population. AIM: To identify a novel stool-based assay that can improve the effectiveness of ECC screening. METHODS: A blinded case-control study was performed using archived stool samples from 125 ECC patients, and 125 control subjects with normal colonoscopy. The cohort was randomly divided into training and test sets at a 1.5:1 ratio. Targeted bisulfite sequencing (TBSeq) was conducted on five pairs of preoperative and postop-erative sDNA samples from ECC patients to identify DNA methylation biomarkers, which were validated using pyrosequencing. By logistic regression analysis, a multiplex stool-based assay was developed in the training set, and the detection performance was further assessed in the test set and combined set. The χ(2) test was used to investigate the association of detection sensitivity with clinico-pathological features. RESULTS: Following TBSeq, three hypermethylated cytosine-guanine sites were selected as biomarkers, including paired box 8, Ras-association domain family 1 and secreted frizzled-related protein 2, which differed between the groups and were involved in important cancer pathways. An sDNA panel containing the three biomarkers was constructed with a logistic model. Receiver operating characteristic (ROC) analysis revealed that this panel was superior to the fecal immunochemical test (FIT) or serum carcinoembryonic antigen for the detection of ECC. We further found that the combination of the sDNA panel with FIT could improve the screening effectiveness. In the combined set, the sensitivity, specificity and area under the ROC curve for this multiplex assay were 80.0%, 93.6% and 0.918, respectively, and the performance remained excellent in the subgroup analysis by tumor stage. In addition, the detection sensitivity did not differ with tumor site, tumor stage, histological differentiation, age or sex, but was significantly higher in T4 than in T1-3 stage tumors (P = 0.041). CONCLUSION: We identified a novel multiplex stool-based assay combining sDNA methylation biomarkers and FIT, which could detect ECC with high sensitivity and specificity throughout the colon, showing a promising application perspective. Baishideng Publishing Group Inc 2022-06-28 2022-06-28 /pmc/articles/PMC9260868/ /pubmed/35979157 http://dx.doi.org/10.3748/wjg.v28.i24.2705 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Clinical and Translational Research Jiang, Hui-Hong Xing, Si-Wei Tang, Xuan Chen, Ying Lin, Kang He, Lu-Wei Lin, Mou-Bin Tang, Er-Jiang Novel multiplex stool-based assay for the detection of early-stage colon cancer in a Chinese population |
title | Novel multiplex stool-based assay for the detection of early-stage colon cancer in a Chinese population |
title_full | Novel multiplex stool-based assay for the detection of early-stage colon cancer in a Chinese population |
title_fullStr | Novel multiplex stool-based assay for the detection of early-stage colon cancer in a Chinese population |
title_full_unstemmed | Novel multiplex stool-based assay for the detection of early-stage colon cancer in a Chinese population |
title_short | Novel multiplex stool-based assay for the detection of early-stage colon cancer in a Chinese population |
title_sort | novel multiplex stool-based assay for the detection of early-stage colon cancer in a chinese population |
topic | Clinical and Translational Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260868/ https://www.ncbi.nlm.nih.gov/pubmed/35979157 http://dx.doi.org/10.3748/wjg.v28.i24.2705 |
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