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Ovarian cancer detection by DNA methylation in cervical scrapings

BACKGROUND: Ovarian cancer (OC) is the most lethal gynecological cancer, worldwide, largely due to its vague and nonspecific early stage symptoms, resulting in most tumors being found at advanced stages. Moreover, due to its relative rarity, there are currently no satisfactory methods for OC screeni...

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Autores principales: Wu, Tzu-I, Huang, Rui-Lan, Su, Po-Hsuan, Mao, Shih-Peng, Wu, Chen-Hsuan, Lai, Hung-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881994/
https://www.ncbi.nlm.nih.gov/pubmed/31775891
http://dx.doi.org/10.1186/s13148-019-0773-3
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author Wu, Tzu-I
Huang, Rui-Lan
Su, Po-Hsuan
Mao, Shih-Peng
Wu, Chen-Hsuan
Lai, Hung-Cheng
author_facet Wu, Tzu-I
Huang, Rui-Lan
Su, Po-Hsuan
Mao, Shih-Peng
Wu, Chen-Hsuan
Lai, Hung-Cheng
author_sort Wu, Tzu-I
collection PubMed
description BACKGROUND: Ovarian cancer (OC) is the most lethal gynecological cancer, worldwide, largely due to its vague and nonspecific early stage symptoms, resulting in most tumors being found at advanced stages. Moreover, due to its relative rarity, there are currently no satisfactory methods for OC screening, which remains a controversial and cost-prohibitive issue. Here, we demonstrate that Papanicolaou test (Pap test) cervical scrapings, instead of blood, can reveal genetic/epigenetic information for OC detection, using specific and sensitive DNA methylation biomarkers. RESULTS: We analyzed the methylomes of tissues (50 OC tissues versus 6 normal ovarian epithelia) and cervical scrapings (5 OC patients versus 10 normal controls), and integrated public methylomic datasets, including 79 OC tissues and 6 normal tubal epithelia. Differentially methylated genes were further classified by unsupervised hierarchical clustering, and each candidate biomarker gene was verified in both OC tissues and cervical scrapings by either quantitative methylation-specific polymerase chain reaction (qMSP) or bisulfite pyrosequencing. A risk-score by logistic regression was generated for clinical application. One hundred fifty-one genes were classified into four clusters, and nine candidate hypermethylated genes from these four clusters were selected. Among these, four genes fulfilled our selection criteria and were validated in training and testing set, respectively. The OC detection accuracy was demonstrated by area under the receiver operating characteristic curves (AUCs) in 0.80–0.83 of AMPD3, 0.79–0.85 of AOX1, 0.78–0.88 of NRN1, and 0.82–0.85 of TBX15. From this, we found OC-risk score, equation generated by logistic regression in training set and validated an OC-associated panel comprising AMPD3, NRN1, and TBX15, reaching a sensitivity of 81%, specificity of 84%, and OC detection accuracy of 0.91 (95% CI, 0.82–1) in testing set. CONCLUSIONS: Ovarian cancer detection from cervical scrapings is feasible, using particularly promising epigenetic biomarkers such as AMPD3/NRN1/TBX15. Further validation is warranted.
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spelling pubmed-68819942019-12-03 Ovarian cancer detection by DNA methylation in cervical scrapings Wu, Tzu-I Huang, Rui-Lan Su, Po-Hsuan Mao, Shih-Peng Wu, Chen-Hsuan Lai, Hung-Cheng Clin Epigenetics Research BACKGROUND: Ovarian cancer (OC) is the most lethal gynecological cancer, worldwide, largely due to its vague and nonspecific early stage symptoms, resulting in most tumors being found at advanced stages. Moreover, due to its relative rarity, there are currently no satisfactory methods for OC screening, which remains a controversial and cost-prohibitive issue. Here, we demonstrate that Papanicolaou test (Pap test) cervical scrapings, instead of blood, can reveal genetic/epigenetic information for OC detection, using specific and sensitive DNA methylation biomarkers. RESULTS: We analyzed the methylomes of tissues (50 OC tissues versus 6 normal ovarian epithelia) and cervical scrapings (5 OC patients versus 10 normal controls), and integrated public methylomic datasets, including 79 OC tissues and 6 normal tubal epithelia. Differentially methylated genes were further classified by unsupervised hierarchical clustering, and each candidate biomarker gene was verified in both OC tissues and cervical scrapings by either quantitative methylation-specific polymerase chain reaction (qMSP) or bisulfite pyrosequencing. A risk-score by logistic regression was generated for clinical application. One hundred fifty-one genes were classified into four clusters, and nine candidate hypermethylated genes from these four clusters were selected. Among these, four genes fulfilled our selection criteria and were validated in training and testing set, respectively. The OC detection accuracy was demonstrated by area under the receiver operating characteristic curves (AUCs) in 0.80–0.83 of AMPD3, 0.79–0.85 of AOX1, 0.78–0.88 of NRN1, and 0.82–0.85 of TBX15. From this, we found OC-risk score, equation generated by logistic regression in training set and validated an OC-associated panel comprising AMPD3, NRN1, and TBX15, reaching a sensitivity of 81%, specificity of 84%, and OC detection accuracy of 0.91 (95% CI, 0.82–1) in testing set. CONCLUSIONS: Ovarian cancer detection from cervical scrapings is feasible, using particularly promising epigenetic biomarkers such as AMPD3/NRN1/TBX15. Further validation is warranted. BioMed Central 2019-11-27 /pmc/articles/PMC6881994/ /pubmed/31775891 http://dx.doi.org/10.1186/s13148-019-0773-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Wu, Tzu-I
Huang, Rui-Lan
Su, Po-Hsuan
Mao, Shih-Peng
Wu, Chen-Hsuan
Lai, Hung-Cheng
Ovarian cancer detection by DNA methylation in cervical scrapings
title Ovarian cancer detection by DNA methylation in cervical scrapings
title_full Ovarian cancer detection by DNA methylation in cervical scrapings
title_fullStr Ovarian cancer detection by DNA methylation in cervical scrapings
title_full_unstemmed Ovarian cancer detection by DNA methylation in cervical scrapings
title_short Ovarian cancer detection by DNA methylation in cervical scrapings
title_sort ovarian cancer detection by dna methylation in cervical scrapings
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881994/
https://www.ncbi.nlm.nih.gov/pubmed/31775891
http://dx.doi.org/10.1186/s13148-019-0773-3
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