Evidence map›Paper›PMID 19798094›Full record

GuidelineLeukemia2009

International Myeloma Working Group molecular classification of multiple myeloma: spotlight review.

R Fonseca, P L Bergsagel, J Drach, J Shaughnessy, N Gutierrez, A K Stewart, G Morgan, B Van Ness, M Chesi, S Minvielle and 13 more

Registry-linked trialAbstract readPractice GuidelineReview
In one paragraph

Guideline in Leukemia, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05199311 (A Phase I/II Study of Carfilzomib, Iberdomide), which is not on this map. Cited by 404 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
404citing papers in PubMed, 3 pooled it
–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.

NCT05199311 phase1 / phase2suspendednot on this mapstarted 2022, after this paper: background citation

A Phase I/II Study of Carfilzomib, Iberdomide (CC-220) and Dexamethasone (KID) in Patients With Newly Diagnosed Transplant Eligible Multiple Myeloma

TypeinterventionalSponsorHackensack Meridian HealthRan2022 to 2027Enrolled66ConditionsMultiple MyelomaArmsCarfilzomib, Iberdomide, Oral Dexamethasone
3 · Its place in the literature

Who cites it

404 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Development and Validation of a Cytogenetic Prognostic Index Predicting Survival in Multiple Myeloma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2019
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344 more citing papers are in PubMed but not listed here.

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

23 authors.

R FonsecaDepartment of Hematology-Oncology, Mayo Clinic, 13400 East Shea Boulevard, Scottsdale, AR 85259-5494, USA. fonseca.rafael@mayo.edu
P L Bergsagel
J Drach
J Shaughnessy
N Gutierrez
A K Stewart
G Morgan
B Van Ness
M Chesi
S Minvielle
A Neri
B Barlogie
W M Kuehl
P Liebisch
F Davies
S Chen-Kiang
B G M Durie
R Carrasco
Orhan Sezer
Tony Reiman
Linda Pilarski
H Avet-Loiseau
International Myeloma Working Group

Funding

Trageting the Multiple Myeloma EpigenomeP50CA100707 · NCI · DANA-FARBER CANCER INSTITUTE · PI ANDERSON, KENNETH C., MUNSHI, NIKHIL C. · 2003 to 2023
$45.0M
Molecular Pathogenesis of Multiple MyelomaZIASC006581 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI KUEHL, WALTER · 2009 to 2015
$4.5M
Genomic Rearrangements in Multiple MyelomaZIABC010910 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KUEHL, WALTER · 2009 to 2015
$3.8M
Mouse models of age-associated monoclonal gammopathyR01AG020686 · NIA · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI BERGSAGEL, PETER LEIF · 2003 to 2014
$3.3M
Molecular Pathogenesis of Multiple MyelomaR01CA133966 · NCI · MAYO CLINIC ARIZONA · PI BERGSAGEL, PETER LEIF · 2009 to 2013
$1.6M
Comparative Pharmaco-oncogenomics of Myeloma Drug ResistanceR01CA136671 · NCI · MAYO CLINIC ARIZONA · PI BERGSAGEL, PETER LEIF · 2009 to 2013
$1.6M
NCI NIH HHS P50 CA100707NCI NIH HHS R01 CA133966NCI NIH HHS R01 CA136671NIA NIH HHS R01 AG020686
6 · The paper itself

Abstract

Myeloma is a malignant proliferation of monoclonal plasma cells. Although morphologically similar, several subtypes of the disease have been identified at the genetic and molecular level. These genetic subtypes are associated with unique clinicopathological features and dissimilar outcome. At the top hierarchical level, myeloma can be divided into hyperdiploid and non-hyperdiploid subtypes. The latter is mainly composed of cases harboring IgH translocations, generally associated with more aggressive clinical features and shorter survival. The three main IgH translocations in myeloma are the t(11;14)(q13;q32), t(4;14)(p16;q32) and t(14;16)(q32;q23). Trisomies and a more indolent form of the disease characterize hyperdiploid myeloma. A number of genetic progression factors have been identified including deletions of chromosomes 13 and 17 and abnormalities of chromosome 1 (1p deletion and 1q amplification). Other key drivers of cell survival and proliferation have also been identified such as nuclear factor- B-activating mutations and other deregulation factors for the cyclin-dependent pathways regulators. Further understanding of the biological subtypes of the disease has come from the application of novel techniques such as gene expression profiling and array-based comparative genomic hybridization. The combination of data arising from these studies and that previously elucidated through other mechanisms allows for most myeloma cases to be classified under one of several genetic subtypes. This paper proposes a framework for the classification of myeloma subtypes and provides recommendations for genetic testing. This group proposes that genetic testing needs to be incorporated into daily clinical practice and also as an essential component of all ongoing and future clinical trials.

Indexed as

ClassificationCytogenetic AnalysisGene Expression ProfilingGenetic TestingHumansMultiple MyelomaPrognosis

Identifiers

PMID19798094
PMCPMC2964268

What OpenQuestion holds

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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.