Evidence map›Paper›PMID 42036772›Full record

ReviewEuropean journal of haematology2026

Minimal Residual Disease as a Biological Trait: Rethinking Disease Persistence in Hematologic Malignancies.

Santino Caserta, Enrica Antonia Martino, Ernesto Vigna, Mamdouh Skafi, Antonella Bruzzese, Nicola Amodio, Eugenio Lucia, Graziella D'Arrigo, Virginia Olivito, Caterina Labanca and 5 more

Abstract readReview
In one paragraph

Review in European journal of haematology, 2026. 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. Article
  2. 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

15 authors.

Santino CasertaHematology Unit, Department of Onco-Hematology, AO of Cosenza, Cosenza, Italy.
Enrica Antonia MartinoHematology Unit, Department of Onco-Hematology, AO of Cosenza, Cosenza, Italy.
Ernesto VignaHematology Unit, Department of Onco-Hematology, AO of Cosenza, Cosenza, Italy.
Mamdouh SkafiEmergency and Internal Medicine Department, Saint Joseph Hospital, East Jerusalem, Palestine.
Antonella BruzzeseHematology Unit, Department of Onco-Hematology, AO of Cosenza, Cosenza, Italy.
Nicola AmodioDepartment of Experimental and Clinical Medicine, University of Catanzaro, Catanzaro, Italy.
Eugenio LuciaHematology Unit, Department of Onco-Hematology, AO of Cosenza, Cosenza, Italy.
Graziella D'ArrigoIstituto di Fisiologia Clinica del CNR di Reggio Calabria, Consiglio Nazionale Delle Ricerche, Reggio Calabria, Italy.
Virginia OlivitoHematology Unit, Department of Onco-Hematology, AO of Cosenza, Cosenza, Italy.
Caterina LabancaHematology Unit, Department of Onco-Hematology, AO of Cosenza, Cosenza, Italy.
Francesco MendicinoHematology Unit, Department of Onco-Hematology, AO of Cosenza, Cosenza, Italy.ORCID https://orcid.org/0000-0001-6339-632X
Maria Eugenia AlvaroHematology Unit, Department of Onco-Hematology, AO of Cosenza, Cosenza, Italy.
Giovanni TripepiIstituto di Fisiologia Clinica del CNR di Reggio Calabria, Consiglio Nazionale Delle Ricerche, Reggio Calabria, Italy.
Fortunato MorabitoAIL Sezione di Cosenza, Cosenza, Italy.
Massimo GentileHematology Unit, Department of Onco-Hematology, AO of Cosenza, Cosenza, Italy.ORCID https://orcid.org/0000-0002-5256-0726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimal residual disease (MRD) has emerged as a central biomarker in hematologic malignancies, enabling highly sensitive detection of tumor persistence beyond conventional morphologic assessment and serving as an increasingly important surrogate endpoint in clinical trials. Despite these advances, MRD remains predominantly conceptualized as a quantitative variable reflecting residual tumor burden below assay detection thresholds. While this paradigm has enabled standardization of response criteria and cross-trial comparisons, it does not fully explain key clinical observations, including heterogeneous outcomes among MRD-positive patients, durable remissions despite detectable disease, and discordance between molecular and imaging-based assessments. Here, we propose a conceptual framework in which MRD is redefined as a biologically determined trait-a functional phenotype of persistence-rather than a purely quantitative state. We review the mechanisms that shape this phenotype, including therapy-driven clonal selection, epigenetic and transcriptional plasticity, metabolic adaptation, immune evasion, and microenvironmental niche protection. These processes collectively define the functional fitness of residual tumor cells and their capacity to survive therapeutic pressure, remain dormant, and ultimately drive relapse. This framework provides a mechanistic explanation for clinically observed phenomena-including molecular-imaging discordance and variable relapse kinetics-arguing that these are not merely technical artifacts but reflect distinct, partially independent biological dimensions of residual disease. We further outline a multidimensional model of MRD integrating molecular, spatial, immune, metabolic, and functional dimensions. Operationally, we define MRD as a biological trait across five interacting axes: (i) clonal fitness, (ii) phenotypic plasticity, (iii) metabolic adaptability, (iv) immune evasion, and (v) microenvironmental dependence. Conceptualizing MRD as a dynamic biological trait offers a more comprehensive and testable model of disease persistence and supports the development of mechanism-based MRD-directed therapeutic strategies in hematologic malignancies.

Indexed as

Hematologic NeoplasmsNeoplasm, ResidualBiomarkers, TumorHumansPhenotypePrognosisTumor MicroenvironmentBiomarkers, Tumorclonal evolutionhematologic malignanciesimmune evasionminimal residual diseasetumor microenvironment

Identifiers

PMID42036772
PMCPMC13326799

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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.