Evidence map›Paper›PMID 36611239›Full record

ArticleBriefings in bioinformatics2023

Liquidhope: methylome and genomic profiling from very limited quantities of plasma-derived DNA.

Eva María Trinidad, Enrique Vidal, Esther Coronado, Anna Esteve-Codina, Victoria Castel, Adela Cañete, Marta Gut, Simon Heath, Jaime Font de Mora

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
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

9 authors at 3 institutions in 1 country.

Eva María TrinidadLaboratory of Cellular and Molecular Biology, Health Research Institute Hospital La Fe, Valencia, Spain.ORCID 0000-0001-6090-5205
Enrique VidalLaboratory of Cellular and Molecular Biology, Health Research Institute Hospital La Fe, Valencia, Spain.ORCID 0000-0002-4217-1807
Esther CoronadoLaboratory of Cellular and Molecular Biology, Health Research Institute Hospital La Fe, Valencia, Spain.ORCID 0000-0002-7487-6836
Anna Esteve-CodinaCNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), , Barcelona , Spain.ORCID 0000-0003-0361-2873
Victoria CastelClinical and Translational Research in Cancer, Health Research Institute Hospital La Fe, Valencia, Spain.ORCID 0000-0002-3792-0615
Adela CañeteClinical and Translational Research in Cancer, Health Research Institute Hospital La Fe, Valencia, Spain.ORCID 0000-0002-5669-5097
Marta GutCNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), , Barcelona , Spain.ORCID 0000-0002-4063-7159
Simon HeathCNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), , Barcelona , Spain.ORCID 0000-0002-9550-0897
Jaime Font de MoraLaboratory of Cellular and Molecular Biology, Health Research Institute Hospital La Fe, Valencia, Spain.ORCID 0000-0002-6816-2095
Leitat Technological Center · ESCentre for Genomic Regulation · ESUniversitat Pompeu Fabra · ES

Funding

Fundación Científica de la Asociación Española Contra el Cáncer PRDVA19004COROFundación Científica de la Asociación Española Contra el Cáncer TRNSC18001FONInstituto de Salud Carlos III (ISCIII), Spain and 'European Social Fund Plus (ESF+)' of the European Union CP20/00179, ISCIII-MICINNSpanish Ministry of Science and Innovation PID2020-119323RB-I00
6 · The paper itself

Abstract

Analysis of the methylome of tumor cell-free deoxyribonucleic acid (DNA; cfDNA) has emerged as a powerful non-invasive technique for cancer subtyping and prognosis. However, its application is frequently hampered by the quality and total cfDNA yield. Here, we demonstrate the feasibility of very low-input cfDNA for whole-methylome and copy-number profiling studies using enzymatic conversion of unmethylated cysteines [enzymatic methyl-seq (EM-seq)] to better preserve DNA integrity. We created a model for predicting genomic subtyping and prognosis with high accuracy. We validated our tool by comparing whole-genome CpG sequencing with in situ cohorts generated with bisulfite conversion and array hybridization, demonstrating that, despite the different techniques and sample origins, information on cfDNA methylation is comparable with in situ cohorts. Our findings support use of liquid biopsy followed by EM-seq to assess methylome of cancer patients, enabling validation in external cohorts. This advance is particularly relevant for rare cancers like neuroblastomas where liquid-biopsy volume is restricted by ethical regulations in pediatric patients.

Indexed as

Cell-Free Nucleic AcidsNeoplasmsChildDNADNA MethylationEpigenomeGenomicsHumansCell-Free Nucleic AcidsDNA11qcombined haploinsufficiencyDNA methylationhigh-riskliquid biopsyMYCNneuroblastoma

Identifiers

PMID36611239
PMCPMC9851319
OpenAlexW4313706613

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.