Evidence map›Paper›PMID 42073598›Full record

ReviewCancers2026

How Laboratory Innovations Are Shaping the Future of Multiple Myeloma Care.

Joana Caetano, Ana Marta Pires, Carlos Costa, Rui Bergantim, Adriana Roque, Patrícia Ferraz, Maria Rosário Cunha, Niccolo Bolli, Noemi Puig, Cristina João

Abstract readReview
In one paragraph

Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Joana CaetanoHemato-Oncology Unit, Fundação Champalimaud, 1400-038 Lisbon, Portugal.ORCID 0000-0001-7509-9066
Ana Marta PiresClinical Pathology Department, Unidade Local de Saúde Trás-os-Montes e Alto Douro, 5000-508 Vila Real, Portugal.
Carlos CostaHemato-Oncology Unit, CUF Hospital Cascais, 2750-663 Cascais, Portugal.
Rui BergantimHematology Department, Unidade Local de Saúde São João, 4200-319 Porto, Portugal.
Adriana RoqueClinical Hematology Department, Unidade Local de Saúde de Coimbra, 3004-561 Coimbra, Portugal.ORCID 0000-0003-4194-9119
Patrícia FerrazHematology Department, Unidade Local de Saúde Trás-os-Montes e Alto Douro, 5000-508 Vila Real, Portugal.
Maria Rosário CunhaClinical Pathology Department, Unidade Local de Saúde de Coimbra, 3004-561 Coimbra, Portugal.
Niccolo BolliHematology Unit, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy.ORCID 0000-0002-1018-5139
Noemi PuigHematology Department, Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL) y Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Universidad de Salamanca, Consejo Superior de Investigaciones Científicas (USAL-CSIC), CIBERONC, 37007 Salamanca, Spain.
Cristina JoãoHemato-Oncology Unit, Fundação Champalimaud, 1400-038 Lisbon, Portugal.ORCID 0000-0002-3978-766X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma is a complex hematologic malignancy characterized by significant biological heterogeneity, a relapsing-remission clinical course, and a continuously evolving therapeutic landscape. Accurate and timely laboratory assessment is central to disease management, supporting diagnosis, risk stratification, evaluation of treatment response, and long-term monitoring. Despite major advances in therapy, a critical need remains for laboratory tools that can detect disease with greater sensitivity, capture spatial and clonal tumor heterogeneity, and reflect the true depth of treatment response beyond conventional serological and bone marrow-based criteria. Recent laboratory innovations have the potential to transform myeloma care by enabling earlier detection, more accurate prognostication, and personalized therapeutic strategies. This review focuses specifically on innovative laboratory technologies for the diagnosis of multiple myeloma and the evaluation of treatment response. Within this scope, we examine the current diagnostic approaches and the role of high-throughput technologies for measurable residual disease assessment. We explore the emerging role of liquid biopsy approaches, including circulating tumor cells, cell-free DNA/RNA, and mass spectrometry for ultrasensitive detection of monoclonal proteins. We further discuss novel molecular biomarkers and the integration of artificial intelligence and machine learning tools to enhance data interpretation. The innovations reviewed here represent a shift in the contribution of laboratory medicine to myeloma care, offering a more precise, less invasive, and biologically informative framework for targeted and adaptive clinical decisions.

Indexed as

artificial intelligencecell-free DNAcirculating tumor cellsdiagnosismass spectrometrymeasurable residual diseasemultiple myelomaprognosis

Identifiers

PMID42073598
PMCPMC13115450

What OpenQuestion holds

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LicenceCC BY
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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.