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Liquid biopsy methylation, mutation and fragmentomic signatures in extracellular vesicle and cell-free DNA distinguish chemotherapy response in ovarian cancer

The University of Queensland
Dr Dominic Guanzon (Aggregated by) Dr Dominic Guanzon (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/d9ef2e4&rft.title=Liquid biopsy methylation, mutation and fragmentomic signatures in extracellular vesicle and cell-free DNA distinguish chemotherapy response in ovarian cancer&rft.identifier=RDM ID: 0a92dad6-9130-4138-a5a8-e3958689a124&rft.publisher=The University of Queensland&rft.description=This dataset contains processed Oxford Nanopore sequencing data generated to investigate molecular signatures associated with chemotherapy response in ovarian cancer using extracellular vesicle-associated DNA (EV DNA) and cell-free DNA (CF DNA). Plasma samples were collected from 16 ovarian cancer patients before and/or after neoadjuvant chemotherapy, comprising 21 plasma samples and generating 21 matched EV DNA and 21 CF DNA samples. EV-rich and CF-rich plasma fractions were separated by size-exclusion chromatography before DNA extraction and Oxford Nanopore long-read sequencing. The sequencing data were used to characterise DNA methylation, mutations, fragment lengths and fragment-end motifs, and to assess molecular differences between good and poor chemotherapy responders and their potential for response classification. The processed dataset includes consensus mutation calls, consensus methylation calls, sequencing summary files, genome-wide coverage bedGraph files, and 5′ and 3′ fragment-end motif data. These files support reproduction of the downstream analyses and results presented in the associated manuscript.&rft.creator=Dr Dominic Guanzon&rft.creator=Dr Dominic Guanzon&rft.date=2026&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Liquid biopsy&rft_subject=Ovarian cancer&rft_subject=DNA&rft_subject=Chemotherapy&rft_subject=DNA sequencing&rft_subject=DNA extraction&rft_subject=Mutation&rft_subject=Extracellular&rft_subject=Bioinformatics and computational biology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=BIOMEDICAL AND CLINICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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[email protected]
UQ Centre for Clinical Research

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This dataset contains processed Oxford Nanopore sequencing data generated to investigate molecular signatures associated with chemotherapy response in ovarian cancer using extracellular vesicle-associated DNA (EV DNA) and cell-free DNA (CF DNA). Plasma samples were collected from 16 ovarian cancer patients before and/or after neoadjuvant chemotherapy, comprising 21 plasma samples and generating 21 matched EV DNA and 21 CF DNA samples. EV-rich and CF-rich plasma fractions were separated by size-exclusion chromatography before DNA extraction and Oxford Nanopore long-read sequencing. The sequencing data were used to characterise DNA methylation, mutations, fragment lengths and fragment-end motifs, and to assess molecular differences between good and poor chemotherapy responders and their potential for response classification. The processed dataset includes consensus mutation calls, consensus methylation calls, sequencing summary files, genome-wide coverage bedGraph files, and 5′ and 3′ fragment-end motif data. These files support reproduction of the downstream analyses and results presented in the associated manuscript.

Issued: 2026

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Subjects
Biological Sciences | Biomedical and Clinical Sciences | Bioinformatics and Computational Biology | Chemotherapy | DNA | DNA extraction | DNA sequencing | Extracellular | Liquid biopsy | Mutation | Ovarian cancer | eng |

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ACN 633 798 857