Evidence map›Paper›PMID 39178576›Full record

ReviewTranslational oncology2024

Cell-free nucleic acid fragmentomics: A non-invasive window into cellular epigenomes.

Ahmad Salman Sirajee, Debajyoti Kabiraj, Subhajyoti De

Abstract readReview
In one paragraph

Review in Translational oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Applications of circulating tumor DNA in unresectable and advanced non-small cell lung cancer immunotherapy: from stratification to therapeutic guidance.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ahmad Salman SirajeeDepartment of Pathology and Laboratory Medicine, Rutgers Cancer Institute, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA. Electronic address: as4184@scarletmail.rutgers.edu.
Debajyoti KabirajDepartment of Pathology and Laboratory Medicine, Rutgers Cancer Institute, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.
Subhajyoti DeDepartment of Pathology and Laboratory Medicine, Rutgers Cancer Institute, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA. Electronic address: subhajyoti.de@rutgers.edu.

Funding

Computational approaches for identifying epigenomic contexts of somatic mutationsR01GM129066 · NIGMS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI DE, SUBHAJYOTI · 2019 to 2023
$1.7M
Computational genomic analysis of genomic variations in human tissuesR35GM149224 · NIGMS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Subhajyoti De · 2023 to 2026
$1.4M
NIGMS NIH HHS R01 GM129066NIGMS NIH HHS R35 GM149224
6 · The paper itself

Abstract

Clinical genomic profiling of cell-free nucleic acids (e.g. cell-free DNA or cfDNA) from blood and other body fluids has ushered in a new era in non-invasive diagnostics and treatment monitoring strategies for health conditions and diseases such as cancer. Genomic analysis of cfDNAs not only identifies disease-associated mutations, but emerging findings suggest that structural, topological, and fragmentation characteristics of cfDNAs reveal crucial information about the location of source tissues, their epigenomes, and other clinically relevant characteristics, leading to the burgeoning field of fragmentomics. The field has seen rapid developments in computational and genomics methodologies for conducting large-scale studies on health conditions and diseases - that have led to fundamental, mechanistic discoveries as well as translational applications. Several recent studies have shown the clinical utilities of the cfDNA fragmentomics technique which has the potential to be effective for early disease diagnosis, determining treatment outcomes, and risk-free continuous patient monitoring in a non-invasive manner. In this article, we outline recent developments in computational genomic methodologies and analysis strategies, as well as the emerging insights from cfNA fragmentomics. We conclude by highlighting the current challenges and opportunities.

Indexed as

Cell-free DNACell of originEpigenomeFragmentomicsLiquid biopsy

Identifiers

PMID39178576
PMCPMC11388671

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.