Evidence map›Paper›PMID 40632977›Full record

ArticleJCO precision oncology2025

Risk Assessment With Ultra-Low-Pass Whole-Genome Sequencing of Cell-Free DNA for Large B-Cell Lymphoma.

Davidson Zhao, Noémie Lang, Ting Liu, Victoria Shelton, Juan Rangel-Patiño, Inna Y Gong, Michael Hong, Anthea Travas, Vanessa Murad, Ibrahim Alrekhais and 11 more

Abstract read
In one paragraph

Article in JCO precision oncology, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

21 authors.

Davidson ZhaoPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.ORCID 0000-0001-5172-6539
Noémie LangPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.ORCID 0000-0003-1243-4888
Ting LiuPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.ORCID 0000-0002-8775-5507
Victoria SheltonPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.
Juan Rangel-PatiñoPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.ORCID 0000-0002-6472-0715
Inna Y GongPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.
Michael HongPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.
Anthea TravasPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.ORCID 0009-0001-7662-7091
Vanessa MuradPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.ORCID 0000-0002-5751-3451
Ibrahim AlrekhaisPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.
Ur MetserPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.ORCID 0000-0003-3726-8994
Anca PricaPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.
Vishal KukretiPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.ORCID 0000-0002-1681-3837
Sita BhellaPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.
Abi VijenthiraPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.ORCID 0000-0001-5369-1501
Michael CrumpPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.
John KuruvillaPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.
Andrea ArrudaPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.ORCID 0000-0003-2516-8005
Mark D MindenPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.
Bernard LamOntario Institute for Cancer Research, Toronto, Canada.
Robert KridelPrincess Margaret Cancer Centre-University Health Network, Toronto, Canada.ORCID 0000-0003-0287-7124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough deep targeted DNA sequencing of liquid biopsies has shown prognostic utility in large B-cell lymphoma (LBCL), the routine clinical adoption of these assays remains limited because of their high costs. MATERIALS AND

methodsHere, leveraging a well-annotated cohort encompassing both frontline and relapsed/refractory (R/R) LBCL, we profiled patient plasma samples with two complementary modalities-ultra-low-pass whole-genome sequencing (ULP-WGS) and deep targeted DNA sequencing, the former being a cost-effective method to profile large scale chromosomal abnormalities and estimate tumor burden.

resultsOur findings revealed a strong association of high cell-free tumor burden by both genomic profiling modalities with established measures of tumor burden and patient survival. Notably, the associations with survival remained statistically significant after accounting for international prognostic index scoring. Furthermore, we showed that del(17p) in circulating tumor DNA as detected by ULP-WGS was strongly associated with

conclusionOur study demonstrates that ULP-WGS can provide robust prognostic biomarkers for both frontline and R/R LBCL, highlighting its broad applicability for risk stratification.

Indexed as

Cell-Free Nucleic AcidsCirculating Tumor DNALymphoma, Large B-Cell, DiffuseWhole Genome SequencingAdultAgedAged, 80 and overFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPrognosisRisk AssessmentCell-Free Nucleic AcidsCirculating Tumor DNA

Identifiers

PMID40632977
PMCPMC12258806

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.