Evidence map›Paper›PMID 42284698›Full record

ReviewBlood advances2026

Analysis of cell-free DNA in lymphomas: from sample collection to genotyping and minimal residual disease monitoring.

Deborah Piffaretti, Chiara Consoli, Davide Rossi

Abstract readReview
In one paragraph

Review in Blood advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Deborah PiffarettiLaboratory of Experimental Hematology, Institute of Oncology Research, Bellinzona, Switzerland.
Chiara ConsoliDepartment of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy.
Davide RossiLaboratory of Experimental Hematology, Institute of Oncology Research, Bellinzona, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractCirculating tumor DNA (ctDNA) is increasingly investigated in lymphomas because it enables noninvasive molecular profiling, longitudinal assessment of clonal evolution, and quantification of minimal residual disease (MRD), which reflects residual tumor burden and treatment response and serves as a clinically validated prognostic biomarker. The clinical utilities of ctDNA include supporting diagnosis, enabling early detection of relapses, and resolving ambiguous imaging findings. Current approaches for ctDNA assessment in lymphomas include droplet digital polymerase chain reaction, immunoglobulin clonotype sequencing, hybrid-capture next-generation sequencing with unique molecular identifiers or duplex barcoding, and phased sequencing. Establishing ctDNA as a clinical-grade assay requires rigorous quality control and standardization across all technical steps, from blood collection and plasma processing to cell-free DNA extraction, quantification, and analytically validated genotyping and MRD measurement. Large prospective trials and international standardization efforts are underway to define ctDNA-based MRD assessment as a reproducible and clinically actionable tool in lymphoma care. In this review, we outline key preanalytical and analytical workflows for ctDNA assessment in lymphomas and discuss unresolved challenges and future directions in the field.

Indexed as

Cell-Free Nucleic AcidsCirculating Tumor DNALymphomaNeoplasm, ResidualBiomarkers, TumorGenotypeGenotyping TechniquesHigh-Throughput Nucleotide SequencingHumansSpecimen HandlingBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNA

Identifiers

PMID42284698
PMCPMC13616811

What OpenQuestion holds

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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.