Evidence map›Paper›PMID 39293399›Full record

ReviewCell reports. Medicine2024

Mining nucleic acid "omics" to boost liquid biopsy in cancer.

Ann Tivey, Rebecca J Lee, Alexandra Clipson, Steven M Hill, Paul Lorigan, Dominic G Rothwell, Caroline Dive, Florent Mouliere

Abstract readReview
In one paragraph

Review in Cell reports. Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  15. Targeting tumor transition windows.Exploration of targeted anti-tumor therapy · 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

8 authors.

Ann TiveyCancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK; Division of Cancer Sciences, University of Manchester, Manchester, UK.
Rebecca J LeeCancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK; Division of Cancer Sciences, University of Manchester, Manchester, UK.
Alexandra ClipsonCancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK.
Steven M HillCancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK.
Paul LoriganDivision of Cancer Sciences, University of Manchester, Manchester, UK.
Dominic G RothwellCancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK.
Caroline DiveCancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK.
Florent MouliereCancer Research UK National Biomarker Centre, University of Manchester, Manchester, UK. Electronic address: florent.mouliere@cruk.manchester.ac.uk.

Funding

Wellcome Trust 225724
6 · The paper itself

Abstract

Treatments for cancer patients are becoming increasingly complex, and there is a growing desire from clinicians and patients for biomarkers that can account for this complexity to support informed decisions about clinical care. To achieve precision medicine, the new generation of biomarkers must reflect the spatial and temporal heterogeneity of cancer biology both between patients and within an individual patient. Mining the different layers of 'omics in a multi-modal way from a minimally invasive, easily repeatable, liquid biopsy has increasing potential in a range of clinical applications, and for improving our understanding of treatment response and resistance. Here, we detail the recent developments and methods allowing exploration of genomic, epigenomic, transcriptomic, and fragmentomic layers of 'omics from liquid biopsy, and their integration in a range of applications. We also consider the specific challenges that are posed by the clinical implementation of multi-omic liquid biopsies.

Indexed as

Biomarkers, TumorGenomicsNeoplasmsEpigenomicsHumansLiquid BiopsyNucleic AcidsPrecision MedicineTranscriptomeBiomarkers, TumorNucleic Acids

Identifiers

PMID39293399
PMCPMC11525024

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.