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Can circulating cell free DNA be a promising marker in ovarian cancer? – a genome-scale profiling study in a single institution
BACKGROUND: Cell-free DNA (cfDNA) is emerging as a potential biomarker for the detection of ovarian cancer (OC). Recently, we reported a method based upon cfDNA whole-genome sequencing data including the nucleosome distribution (nucleosome footprinting NF), terminal signature sequence (motif), DNA f...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840311/ https://www.ncbi.nlm.nih.gov/pubmed/36641505 http://dx.doi.org/10.1186/s13048-022-01068-z |
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author | Zhou, Huimei Zhang, Xueying Liu, Qian Yang, Jiaxin Bai, Jian Yin, Min Cao, Dongyan Zhang, Qingzheng Zheng, Lu |
author_facet | Zhou, Huimei Zhang, Xueying Liu, Qian Yang, Jiaxin Bai, Jian Yin, Min Cao, Dongyan Zhang, Qingzheng Zheng, Lu |
author_sort | Zhou, Huimei |
collection | PubMed |
description | BACKGROUND: Cell-free DNA (cfDNA) is emerging as a potential biomarker for the detection of ovarian cancer (OC). Recently, we reported a method based upon cfDNA whole-genome sequencing data including the nucleosome distribution (nucleosome footprinting NF), terminal signature sequence (motif), DNA fragmentation (fragment), and copy number variation (CNV).In the present study, we explored whether multiomics early screening technology in cfDNA can be applied for early screening of ovarian cancer. METHODS: Fifty-nine patients with OC and 100 healthy controls were included in this prospective study. Cell-free DNA was extracted from plasma and analyzed by low-pass whole-genome sequencing. Genomic features were obtained for all samples of the cohort, including copy number variation (CNV), 5’-end motifs, fragmentation profiles, and nucleosome footprinting (NF). An integrated scoring system termed the OC score was developed based on the performance of these four features. RESULTS: All four features showed diagnostic potential for OC. Based on the unique genome features of cfDNA, the OC score has high accuracy in distinguishing OC patients from healthy controls (AUC 97.7%; sensitivity 94.7%; specificity 98.0%) as a new comprehensive diagnostic method for OC. The OC score showed a gradual trend from healthy controls to OC patients with different stages, especially for early OC monitoring of concern, which achieved a satisfactory sensitivity (85.7%) at a high specificity. CONCLUSIONS: This is the first study evaluating the potential of cell-free DNA for the diagnosis of primary OC using multidimensional early screening technology. We present a promising method to increase the accuracy of prediction in patients with OC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13048-022-01068-z. |
format | Online Article Text |
id | pubmed-9840311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98403112023-01-15 Can circulating cell free DNA be a promising marker in ovarian cancer? – a genome-scale profiling study in a single institution Zhou, Huimei Zhang, Xueying Liu, Qian Yang, Jiaxin Bai, Jian Yin, Min Cao, Dongyan Zhang, Qingzheng Zheng, Lu J Ovarian Res Research BACKGROUND: Cell-free DNA (cfDNA) is emerging as a potential biomarker for the detection of ovarian cancer (OC). Recently, we reported a method based upon cfDNA whole-genome sequencing data including the nucleosome distribution (nucleosome footprinting NF), terminal signature sequence (motif), DNA fragmentation (fragment), and copy number variation (CNV).In the present study, we explored whether multiomics early screening technology in cfDNA can be applied for early screening of ovarian cancer. METHODS: Fifty-nine patients with OC and 100 healthy controls were included in this prospective study. Cell-free DNA was extracted from plasma and analyzed by low-pass whole-genome sequencing. Genomic features were obtained for all samples of the cohort, including copy number variation (CNV), 5’-end motifs, fragmentation profiles, and nucleosome footprinting (NF). An integrated scoring system termed the OC score was developed based on the performance of these four features. RESULTS: All four features showed diagnostic potential for OC. Based on the unique genome features of cfDNA, the OC score has high accuracy in distinguishing OC patients from healthy controls (AUC 97.7%; sensitivity 94.7%; specificity 98.0%) as a new comprehensive diagnostic method for OC. The OC score showed a gradual trend from healthy controls to OC patients with different stages, especially for early OC monitoring of concern, which achieved a satisfactory sensitivity (85.7%) at a high specificity. CONCLUSIONS: This is the first study evaluating the potential of cell-free DNA for the diagnosis of primary OC using multidimensional early screening technology. We present a promising method to increase the accuracy of prediction in patients with OC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13048-022-01068-z. BioMed Central 2023-01-14 /pmc/articles/PMC9840311/ /pubmed/36641505 http://dx.doi.org/10.1186/s13048-022-01068-z Text en © The Author(s) 2023 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 Zhou, Huimei Zhang, Xueying Liu, Qian Yang, Jiaxin Bai, Jian Yin, Min Cao, Dongyan Zhang, Qingzheng Zheng, Lu Can circulating cell free DNA be a promising marker in ovarian cancer? – a genome-scale profiling study in a single institution |
title | Can circulating cell free DNA be a promising marker in ovarian cancer? – a genome-scale profiling study in a single institution |
title_full | Can circulating cell free DNA be a promising marker in ovarian cancer? – a genome-scale profiling study in a single institution |
title_fullStr | Can circulating cell free DNA be a promising marker in ovarian cancer? – a genome-scale profiling study in a single institution |
title_full_unstemmed | Can circulating cell free DNA be a promising marker in ovarian cancer? – a genome-scale profiling study in a single institution |
title_short | Can circulating cell free DNA be a promising marker in ovarian cancer? – a genome-scale profiling study in a single institution |
title_sort | can circulating cell free dna be a promising marker in ovarian cancer? – a genome-scale profiling study in a single institution |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840311/ https://www.ncbi.nlm.nih.gov/pubmed/36641505 http://dx.doi.org/10.1186/s13048-022-01068-z |
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