Evidence map›Paper›PMID 42694447›Full record

ReviewFrontiers in immunology2026

From static risk to dynamic disease monitoring: the role of MRD and immune profiling in multiple myeloma.

Maria Eugenia Alvaro, Enrica Antonia Martino, Santino Caserta, Antonella Bruzzese, Nicola Amodio, Eugenio Lucia, Virginia Olivito, Caterina Labanca, Francesco Mendicino, Fortunato Morabito and 2 more

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 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

12 authors.

Maria Eugenia AlvaroHematology Unit, Department of Onco-Hematology, Azienda Ospedaliera (AO) of Cosenza, Cosenza, Italy.
Enrica Antonia MartinoHematology Unit, Department of Onco-Hematology, Azienda Ospedaliera (AO) of Cosenza, Cosenza, Italy.
Santino CasertaHematology Unit, Department of Onco-Hematology, Azienda Ospedaliera (AO) of Cosenza, Cosenza, Italy.
Antonella BruzzeseHematology Unit, Department of Onco-Hematology, Azienda Ospedaliera (AO) of Cosenza, Cosenza, Italy.
Nicola AmodioDepartment of Experimental and Clinical Medicine, University of Catanzaro, Catanzaro, Italy.
Eugenio LuciaHematology Unit, Department of Onco-Hematology, Azienda Ospedaliera (AO) of Cosenza, Cosenza, Italy.
Virginia OlivitoHematology Unit, Department of Onco-Hematology, Azienda Ospedaliera (AO) of Cosenza, Cosenza, Italy.
Caterina LabancaHematology Unit, Department of Onco-Hematology, Azienda Ospedaliera (AO) of Cosenza, Cosenza, Italy.
Francesco MendicinoHematology Unit, Department of Onco-Hematology, Azienda Ospedaliera (AO) of Cosenza, Cosenza, Italy.
Fortunato MorabitoAssociazione Italiana contro le Leucemie - Linfomi e Mieloma (AIL) Sezione di Cosenza, Cosenza, Italy.
Ernesto VignaHematology Unit, Department of Onco-Hematology, Azienda Ospedaliera (AO) of Cosenza, Cosenza, Italy.
Massimo GentileHematology Unit, Department of Onco-Hematology, Azienda Ospedaliera (AO) of Cosenza, Cosenza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The therapeutic landscape of multiple myeloma (MM) has undergone a profound transformation, with highly effective combination regimens and immune-based therapies enabling unprecedented rates of deep and durable responses. As a result, conventional baseline risk stratification alone is increasingly insufficient to explain the heterogeneity of clinical outcomes or to guide treatment throughout the disease course. This evolving paradigm has shifted attention toward dynamic, response-adapted disease monitoring centered on measurable residual disease (MRD) and the biological interaction between residual tumor cells and the host immune system. Bone marrow-based next-generation flow cytometry and next-generation sequencing currently represent the most extensively validated approaches for MRD assessment, while functional imaging, mass spectrometry, circulating tumor DNA, and other minimally invasive technologies are expanding the ability to monitor spatially heterogeneous disease and longitudinal clonal evolution. Although sustained MRD negativity has emerged as one of the most powerful prognostic biomarkers in MM, its clinical significance is influenced by multiple factors, including timing of assessment, sensitivity, durability of response, baseline disease biology, imaging findings, and the quality of immune reconstitution. Increasing evidence indicates that relapse following MRD negativity reflects not only residual tumor burden below the limits of detection but also a dynamic biological process driven by clonal evolution, microenvironmental protection, immune escape, and therapeutic selection pressure. Immune profiling provides complementary information by characterizing immune competence, including T-cell and natural killer-cell function, immune reconstitution after therapy, regulatory and myeloid immunosuppressive networks, and the immune fitness required for effective T-cell redirection and the capacity to sustain effective antitumor immune surveillance. Integrating longitudinal MRD kinetics with immune biomarkers has the potential to improve risk discrimination, identify biologically discordant disease states, and support rational strategies for treatment intensification, de-escalation, or discontinuation within prospective clinical trials. In the era of anti-CD38 antibodies, CAR T-cell therapy, bispecific antibodies, and emerging multi-antigen immunotherapies, disease monitoring is evolving beyond the assessment of tumor burden alone. Future of MM management will likely rely on multidimensional monitoring frameworks that integrate MRD, immune competence, spatial disease assessment, circulating biomarkers, and computational risk modeling to enable truly personalized, biology-driven patient care.

Indexed as

Multiple MyelomaBiomarkers, TumorHumansNeoplasm, ResidualPrognosisTumor MicroenvironmentBiomarkers, Tumorbispecific antibodiesCAR T cellsdynamic risk assessmentimmune profilingimmune reconstitutionliquid biopsymeasurable residual diseaseminimal residual disease

Identifiers

PMID42694447
PMCPMC13539482

What OpenQuestion holds

Textmetadata
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.