Evidence map›Paper›PMID 34526359›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2021

Functional Impact of Genomic Complexity on the Transcriptome of Multiple Myeloma.

Bachisio Ziccheddu, Matteo C Da Vià, Marta Lionetti, Akihiro Maeda, Silvia Morlupi, Matteo Dugo, Katia Todoerti, Stefania Oliva, Mattia D'Agostino, Paolo Corradini and 9 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07214324 (Integrative Multi-omics Analysis to Predict Monoclonal Gammopathies Clinical Evolution), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
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.

NCT07214324 recruitingnot on this mapstarted 2025, after this paper: background citation

Integrative Multi-omics Analysis to Predict Monoclonal Gammopathies Clinical Evolution

TypeobservationalSponsorAzienda USL Reggio Emilia - IRCCSRan2025 to 2026Enrolled60ConditionsMonoclonal Gammopathy of Undetermined Significance (MGUS), Smoldering Multiple Myeloma (SMM), Multiple Myeloma (MM)ArmsCollection of biological material
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 19 citations in OpenAlex.

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  12. The numerous facets of 1q21Oncology letters · 2024
    Review
  13. Genomic Classification and Individualized Prognosis in Multiple Myeloma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  14. Recent Advances in The Definition of the Molecular Alterations Occurring in Multiple Myeloma.Mediterranean journal of hematology and infectious diseases · 2024
    Review
  15. Review
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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

19 authors at 7 institutions in 3 countries.

Bachisio Ziccheddu *Department of Molecular Biotechnologies and Health Sciences, University of Turin, Turin, Italy.
Matteo C Da Vià *Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.ORCID 0000-0002-5396-6584
Marta LionettiHematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.ORCID 0000-0002-3342-9095
Akihiro MaedaDepartment of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
Silvia MorlupiDepartment of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
Matteo DugoPlatform of Integrated Biology, Department of Applied Research and Technology Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Katia TodoertiHematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Stefania OlivaDepartment of Molecular Biotechnologies and Health Sciences, University of Turin, Turin, Italy.
Mattia D'AgostinoDepartment of Molecular Biotechnologies and Health Sciences, University of Turin, Turin, Italy.
Paolo CorradiniDepartment of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
Ola LandgrenMultiple Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami Health System, Miami, Florida.ORCID 0000-0001-6485-4839
Francesco IorioCentre for Computational Biology, Human Technopole, Milan, Italy.ORCID 0000-0001-7063-8913
Loredana PettineHematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Alessandra PompaHematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Martina ManzoniHematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.ORCID 0000-0003-0861-9951
Luca BaldiniHematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Antonino NeriHematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Francesco Maura *Multiple Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami Health System, Miami, Florida. fxm557@med.miami.edu niccolo.bolli@unimi.it.ORCID 0000-0002-5017-1620
Niccolò Bolli *Hematology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy. fxm557@med.miami.edu niccolo.bolli@unimi.it.ORCID 0000-0002-1018-5139
University of Milan · ITDepartment of Public Health · USFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITMemorial Sloan Kettering Cancer Center · USFondazione IRCCS Istituto Nazionale dei Tumori · ITUniversity of Miami Health System · USWellcome Sanger Institute · GB

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Tumor Biology Research ProgramP30CA240139 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI George S. Grills · 2019 to 2026
$24.1M
European Research Council 817997NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA240139
6 · The paper itself

Abstract

purposeMultiple myeloma is a biologically heterogenous plasma-cell disorder. In this study, we aimed at dissecting the functional impact on transcriptome of gene mutations, copy-number abnormalities (CNA), and chromosomal rearrangements (CR). Moreover, we applied a geno-transcriptomic approach to identify specific biomarkers for personalized treatments. EXPERIMENTAL

designWe analyzed 514 newly diagnosed patients from the IA12 release of the CoMMpass study, accounting for mutations in multiple myeloma driver genes, structural variants, copy-number segments, and raw-transcript counts. We performed an

resultsImmunoglobulin translocations, hyperdiploidy and chr(1q)gain/amps were associated with the highest number of deregulated genes. Other CNAs and specific gene mutations had a lower but very distinct impact affecting specific pathways. Many recurrent genes showed a hotspot (HS)-specific effect. The clinical relevance of double-hit multiple myeloma found strong biological bases in our analysis. Biallelic deletions of tumor suppressors and chr(1q)-amplifications showed the greatest impact on gene expression, deregulating pathways related to cell cycle, proliferation, and expression of immunotherapy targets. Moreover, our

conclusionsThe multiple myeloma genomic architecture and transcriptome have a strict connection, led by CNAs and CRs. Gene mutations impacted especially with HS-mutations of oncogenes and biallelic tumor suppressor gene inactivation. Finally, a comprehensive geno-transcriptomic analysis allows the identification of specific deregulated pathways and candidate biomarkers for personalized treatments in multiple myeloma.

Indexed as

Multiple MyelomaGene Expression ProfilingGenomicsHumansOncogenesTranscriptome

Identifiers

PMID34526359
PMCPMC7612071
OpenAlexW3199985600

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.