Results 51 to 60 of about 297 (139)

Cell-free DNA fragmentomics in cancer

open access: yesCancer Cell
The analysis of cell-free DNA (cfDNA) fragmentation patterns, known as "fragmentomics," has opened new opportunities in noninvasive cancer diagnostics. Due to its close relationships with genomic organization and cell death, cfDNA fragmentomics lies at the intersection of many aspects of cancer biology, including epigenetic dysregulation ...
W H Adrian, Tsui   +2 more
openaire   +2 more sources

Liquid biopsy epigenetics: establishing a molecular profile based on cell‐free DNA

open access: yesMolecular Oncology, Volume 20, Issue 3, Page 588-610, March 2026.
Cell‐free DNA (cfDNA) fragments in plasma from cancer patients carry epigenetic signatures reflecting their cells of origin. These epigenetic features include DNA methylation, nucleosome modifications, and variations in fragmentation. This review describes the biological properties of each feature and explores optimal strategies for harnessing cfDNA ...
Christoffer Trier Maansson   +2 more
wiley   +1 more source

Review of Small Gauge Vitrectomy: Progress and Innovations

open access: yesJournal of Ophthalmology, Volume 2017, Issue 1, 2017., 2017
Purpose. To summarise the surgical advances and evolution of small gauge vitrectomy and discuss its principles and application in modern vitreoretinal surgery. The advent of microincisional vitrectomy systems (MIVS) has created a paradigm shift away from twenty‐gauge vitrectomy systems, which have been the gold standard in the surgical management of ...
Shaheeda Mohamed   +3 more
wiley   +1 more source

Long circulating-free DNA fragments predict early-progression (EP) and progression-free-survival (PFS) in advanced carcinoma treated with immune-checkpoint inhibition (ICI): a new biomarker

open access: yes
International audienceBackgroundEstablishing reliable and early predictive biomarkers of response of ICI is essential. Analysis of cfDNA fragmentation profiles (fragmentome) is a promising non-invasive method to do so independently of a specific ...
Boutonnet, Audrey   +8 more
core   +4 more sources

Clinical Application of Peripheral Blood Biomarkers for Solid Tumors

open access: yesMedComm, Volume 7, Issue 3, March 2026.
Peripheral blood biomarkers provide a minimally invasive, dynamic, and potentially more accurate means to obtain a comprehensive tumor profile. Technologies for detecting them are advancing, and with the help of artificial intelligence, they are being used more and more often for cancer diagnosis, prognostic assessment, and therapeutic monitoring ...
Xinru Tu, Mengyan Tu, Junfen Xu
wiley   +1 more source

Fragmentomics of urinary cell-free DNA in nuclease knockout mouse models

open access: yesPLOS Genetics, 2022
Urinary cell-free DNA (ucfDNA) is a potential biomarker for bladder cancer detection. However, the biological characteristics of ucfDNA are not well understood. We explored the roles of deoxyribonuclease 1 (DNASE1) and deoxyribonuclease 1-like 3 (DNASE1L3) in the fragmentation of ucfDNA using mouse models.
Meihui Chen   +18 more
openaire   +3 more sources

Abstract Book for the 27th Congress of the European Hematology Association

open access: yes, 2022
HemaSphere, Volume 6, Issue S3, Page 1-4130, June 2022.
wiley   +1 more source

Evaluation of cfDNA fragmentation characteristics in plasma for the diagnosis of lung cancer: A prospective cohort study

open access: yesCancer Science, Volume 116, Issue 1, Page 248-256, January 2025.
We constructed a lung cancer detection model using four circulating free DNA (cfDNA) fragmentation features, and this model exhibits strong screening capabilities. It is not only effective for early cancer screening in asymptomatic individuals but also demonstrates robust detection capabilities in early cancer diagnosis.
Fudong Xu   +9 more
wiley   +1 more source

EHA2021 Virtual Congress Abstract Book

open access: yes, 2021
HemaSphere, Volume 5, Issue S2, June 2021.
wiley   +1 more source

Transformer‐based representation learning and multiple‐instance learning for cancer diagnosis exclusively from raw sequencing fragments of bisulfite‐treated plasma cell‐free DNA

open access: yesMolecular Oncology, Volume 18, Issue 11, Page 2755-2769, November 2024.
This study introduces DECIDIA, a deep‐learning approach for early cancer diagnosis using bisulfite‐treated cfDNA sequencing fragments. Utilizing transformer‐based representation learning and weakly supervised multiple‐instance learning, DECIDIA accurately detects cancer and predicts cancer types, significantly simplifying data analysis.
Jilei Liu   +6 more
wiley   +1 more source

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