Evidence map›Paper›PMID 40838116›Full record

ArticleEJHaem2025

Dynamic Profiling of Cell Free Tumour DNA in Aggressive B-Cell Lymphoma From Diagnosis to Transformation at Relapse.

Mark Waltham, Jonathan Wong, Galina Polekhina, Tessa Potezny, Pranav Dorwal, Daniella Brasacchio, Belinda Maher, Aditya Tedjaseputra, Gareth P Gregory, Stephen Opat and 1 more

Abstract read
In one paragraph

Article in EJHaem, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

11 authors.

Mark WalthamDepartment of Medicine School of Clinical Sciences at Monash Health Monash University Clayton Victoria Australia.ORCID https://orcid.org/0000-0001-9623-8133
Jonathan WongMonash Haematology Monash Health Clayton Victoria Australia.ORCID https://orcid.org/0000-0003-2974-8023
Galina PolekhinaDepartment of Epidemiology and Preventative Medicine School of Public Health and Preventative Medicine Monash University Melbourne Victoria Australia.ORCID https://orcid.org/0000-0001-9535-9291
Tessa PoteznyMonash Haematology Monash Health Clayton Victoria Australia.ORCID https://orcid.org/0000-0003-1124-9656
Pranav DorwalDepartment of Medicine School of Clinical Sciences at Monash Health Monash University Clayton Victoria Australia.ORCID https://orcid.org/0000-0002-7755-8745
Daniella BrasacchioDepartment of Medicine School of Clinical Sciences at Monash Health Monash University Clayton Victoria Australia.ORCID https://orcid.org/0000-0001-5956-9611
Belinda MaherDepartment of Medicine School of Clinical Sciences at Monash Health Monash University Clayton Victoria Australia.ORCID https://orcid.org/0000-0002-8900-6876
Aditya TedjaseputraMonash Haematology Monash Health Clayton Victoria Australia.ORCID https://orcid.org/0000-0001-6224-1940
Gareth P GregoryDepartment of Medicine School of Clinical Sciences at Monash Health Monash University Clayton Victoria Australia.ORCID https://orcid.org/0000-0002-4170-0682
Stephen OpatDepartment of Medicine School of Clinical Sciences at Monash Health Monash University Clayton Victoria Australia.ORCID https://orcid.org/0000-0002-0308-6458
Jake ShorttDepartment of Medicine School of Clinical Sciences at Monash Health Monash University Clayton Victoria Australia.ORCID https://orcid.org/0000-0003-3185-6488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Next generation sequencing (NGS) of cell free tumour DNA (ctDNA) provides a snapshot of lymphoma mutations correlating with tumour burden. We evaluated the ability of ctDNA to molecularly profile and track disease burden in patients with aggressive-B-cell lymphoma. Methods: Patients were prospectively recruited from the 'standard-of-care' clinic based on high-risk clinical features. Using error-corrected, capture-based NGS of ctDNA, we profiled 17 patients receiving treatment for diffuse large B-cell lymphoma to determine the utility of molecular profiling and dynamic response assessment through to measurable residual disease (MRD) states. Results: Somatic mutations were detected at baseline in 17/17 patients, including 13 with phased variants that could be leveraged for enhanced assay sensitivity. Early molecular response (EMR; ≥ 2 log Conclusion: These data further support the potential utility of molecular lymphoma profiling by ctDNA analysis and the predictive value of EMR as reported by independent groups. We also posit that ctDNA alone is insufficient to diagnose late relapses, where shared mutations may associate with differential histopathology.

Indexed as

circulating tumour DNAdiffuse large B‐cell lymphomaearly molecular responselymphoma diagnosisNGS sequencing

Identifiers

PMID40838116
PMCPMC12363405

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.