Evidence map›Paper›PMID 40371906›Full record

ArticleHaematologica2025

Unique molecular assay (UMA): a next-generation sequencing targeted panel for efficient and comprehensive genomic profiling and risk stratification of multiple myeloma.

Andrea Poletti, Barbara Taurisano, Gaia Mazzocchetti, Marta Lionetti, Marina Martello, Viola Meixian Vuong, Vincenza Solli, Giulia Marzocchi, Akihiro Maeda, Ilaria Vigliotta and 14 more

Abstract read
In one paragraph

Article in Haematologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

24 authors.

Andrea PolettiIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy; Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna.
Barbara TaurisanoIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy; Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna.
Gaia MazzocchettiFABIT-Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy; Computational and Chemical Biology, Italian Institute of Technology (IIT), CMP3VdA, Aosta.
Marta LionettiDepartment of Oncology and Hemato-Oncology, University of Milan, Milan.
Marina MartelloIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy; Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna.
Viola Meixian VuongIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy; Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna.
Vincenza SolliIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy; Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna.
Giulia MarzocchiIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy; Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna.
Akihiro MaedaHematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan.
Ilaria VigliottaIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna.
Enrica BorsiIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna.
Silvia ArmuzziIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy; Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna.
Ignazia PistisIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna.
Alessio MarellaDepartment of Oncology and Hemato-Oncology, University of Milan, Milan.
Sonia FabrisHematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan.
Paola TacchettiIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna.
Katia MancusoIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy; Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna.
Ilaria RizzelloIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy; Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna.
Lucia PantaniIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna.
Nicoletta TestoniIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy; Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna.
Michele CavoDipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna.
Elena ZamagniIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy; Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna.
Niccolò BolliDepartment of Oncology and Hemato-Oncology, University of Milan, Milan, Italy; Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan.
Carolina TerragnaIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is characterized by genetic abnormalities in plasma cells, requiring precise genomic characterization for effective risk stratification and treatment. This study presents the Unique Molecular Assay (UMA) panel, a targeted DNA-sequencing approach designed to capture critical genomic aberrations in MM, including canonical immunoglobulin heavy chain translocations (t-IgH), copy number alterations (CNA), and mutations in 82 genes. The UMA panel is the first MM sequencing panel validated against traditional methods like fluorescence in situ hybridization (FISH) and SNP arrays across two laboratories for clinical-grade accuracy and reproducibility. The study included 150 patients whose DNA samples were analyzed using the UMA panel, achieving a median coverage of 233X with a requirement of ≥4 million reads per sample. The UMA panel demonstrated high concordance with FISH in detecting both CNA and t-IgH, achieving a balanced accuracy of over 93%. Moreover, inter-laboratory validation confirmed the robustness and reliability of the panel on genomic alteration calls. Importantly, the UMA panel enabled precise risk stratification based on the Second Revision of the International Staging System (R2-ISS), identifying high-risk features such as TP53 mutations and genome-wide CNA. This comprehensive and cost-effective genomic profiling tool supports clinical decision-making and personalized treatment strategies in MM. The validated performance and scalability of the UMA panel suggest its potential to complement traditional diagnostic methods, offering detailed insights into the genomic landscape of MM.

Indexed as

GenomicsHigh-Throughput Nucleotide SequencingMultiple MyelomaAdultAgedAged, 80 and overDNA Copy Number VariationsFemaleHumansIn Situ Hybridization, FluorescenceMaleMiddle AgedMutationReproducibility of ResultsRisk Assessment

Identifiers

PMID40371906
PMCPMC12485320

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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.