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Sensitive detection of colorectal cancer in peripheral blood by a novel methylation assay

BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. Early detection of CRC can significantly reduce its mortality rate. Current method of CRC diagnosis relies on the invasive endoscopy. Non-invasive assays including fecal occult blood testing (FOBT) and fecal i...

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Autores principales: Zhang, Yunfeng, Wu, Qian, Xu, Linhao, Wang, Hong, Liu, Xin, Li, Sihui, Hu, Tianliang, Liu, Yanying, Peng, Quanzhou, Chen, Zhiwei, Wu, Xianrui, Fan, Jian-Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066866/
https://www.ncbi.nlm.nih.gov/pubmed/33892797
http://dx.doi.org/10.1186/s13148-021-01076-8
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author Zhang, Yunfeng
Wu, Qian
Xu, Linhao
Wang, Hong
Liu, Xin
Li, Sihui
Hu, Tianliang
Liu, Yanying
Peng, Quanzhou
Chen, Zhiwei
Wu, Xianrui
Fan, Jian-Bing
author_facet Zhang, Yunfeng
Wu, Qian
Xu, Linhao
Wang, Hong
Liu, Xin
Li, Sihui
Hu, Tianliang
Liu, Yanying
Peng, Quanzhou
Chen, Zhiwei
Wu, Xianrui
Fan, Jian-Bing
author_sort Zhang, Yunfeng
collection PubMed
description BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. Early detection of CRC can significantly reduce its mortality rate. Current method of CRC diagnosis relies on the invasive endoscopy. Non-invasive assays including fecal occult blood testing (FOBT) and fecal immunological test (FIT) are compromised by low sensitivity and specificity, especially at early stages. Thus, a non-invasive and accurate approach for CRC screening would be highly desirable. RESULTS: A new qPCR-based assay combining the simultaneous detection of the DNA methylation status of ten candidate genes was used to examine plasma samples from 56 normal controls, 6 hyperplastic polys, 9 non-advanced adenomas (NAAs), 22 advanced adenomas (AAs) and 175 CRC patients, using 10 ng of cfDNA. We further built a logistic regression model for CRC diagnosis. We tested ten candidate methylation markers including twist1, vav3-as1, fbn1, c9orf50, sfmbt2, kcnq5, fam72c, itga4, kcnj12 and znf132. All markers showed moderate diagnostic performance with AUCs ranging from 0.726 to 0.815. Moreover, a 4-marker model, comprised of two previously reported markers (c9orf50 and twist1) and two novel ones (kcnj12 and znf132), demonstrated high performance for detecting colorectal cancer in an independent validation set (N = 69) with an overall AUC of 0.911 [95% confidence interval (CI) 0.834–0.988], sensitivity of 0.800 [95% CI 0.667–0.933] and specificity of 0.971 [95% CI 0.914–1.000]. The stage-stratified sensitivity of the model was 0.455 [95% CI 0.227–0.682], 0.667 [95% CI 0.289–1.000], 0.800 [95% CI 0.449–1.000], 0.800 [95% CI 0.449–1.000] and 0.842 [95% CI 0.678–1.000] for advanced adenoma and CRC stage I-IV, respectively. CONCLUSION: kcnj12 and znf132 are two novel methylation biomarkers for CRC diagnosis. The 4-marker methylation model provides a new non-invasive choice for CRC screening and interception. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01076-8.
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spelling pubmed-80668662021-04-26 Sensitive detection of colorectal cancer in peripheral blood by a novel methylation assay Zhang, Yunfeng Wu, Qian Xu, Linhao Wang, Hong Liu, Xin Li, Sihui Hu, Tianliang Liu, Yanying Peng, Quanzhou Chen, Zhiwei Wu, Xianrui Fan, Jian-Bing Clin Epigenetics Research BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. Early detection of CRC can significantly reduce its mortality rate. Current method of CRC diagnosis relies on the invasive endoscopy. Non-invasive assays including fecal occult blood testing (FOBT) and fecal immunological test (FIT) are compromised by low sensitivity and specificity, especially at early stages. Thus, a non-invasive and accurate approach for CRC screening would be highly desirable. RESULTS: A new qPCR-based assay combining the simultaneous detection of the DNA methylation status of ten candidate genes was used to examine plasma samples from 56 normal controls, 6 hyperplastic polys, 9 non-advanced adenomas (NAAs), 22 advanced adenomas (AAs) and 175 CRC patients, using 10 ng of cfDNA. We further built a logistic regression model for CRC diagnosis. We tested ten candidate methylation markers including twist1, vav3-as1, fbn1, c9orf50, sfmbt2, kcnq5, fam72c, itga4, kcnj12 and znf132. All markers showed moderate diagnostic performance with AUCs ranging from 0.726 to 0.815. Moreover, a 4-marker model, comprised of two previously reported markers (c9orf50 and twist1) and two novel ones (kcnj12 and znf132), demonstrated high performance for detecting colorectal cancer in an independent validation set (N = 69) with an overall AUC of 0.911 [95% confidence interval (CI) 0.834–0.988], sensitivity of 0.800 [95% CI 0.667–0.933] and specificity of 0.971 [95% CI 0.914–1.000]. The stage-stratified sensitivity of the model was 0.455 [95% CI 0.227–0.682], 0.667 [95% CI 0.289–1.000], 0.800 [95% CI 0.449–1.000], 0.800 [95% CI 0.449–1.000] and 0.842 [95% CI 0.678–1.000] for advanced adenoma and CRC stage I-IV, respectively. CONCLUSION: kcnj12 and znf132 are two novel methylation biomarkers for CRC diagnosis. The 4-marker methylation model provides a new non-invasive choice for CRC screening and interception. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-021-01076-8. BioMed Central 2021-04-23 /pmc/articles/PMC8066866/ /pubmed/33892797 http://dx.doi.org/10.1186/s13148-021-01076-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Yunfeng
Wu, Qian
Xu, Linhao
Wang, Hong
Liu, Xin
Li, Sihui
Hu, Tianliang
Liu, Yanying
Peng, Quanzhou
Chen, Zhiwei
Wu, Xianrui
Fan, Jian-Bing
Sensitive detection of colorectal cancer in peripheral blood by a novel methylation assay
title Sensitive detection of colorectal cancer in peripheral blood by a novel methylation assay
title_full Sensitive detection of colorectal cancer in peripheral blood by a novel methylation assay
title_fullStr Sensitive detection of colorectal cancer in peripheral blood by a novel methylation assay
title_full_unstemmed Sensitive detection of colorectal cancer in peripheral blood by a novel methylation assay
title_short Sensitive detection of colorectal cancer in peripheral blood by a novel methylation assay
title_sort sensitive detection of colorectal cancer in peripheral blood by a novel methylation assay
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066866/
https://www.ncbi.nlm.nih.gov/pubmed/33892797
http://dx.doi.org/10.1186/s13148-021-01076-8
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