Evidence map›Paper›PMID 35211412›Full record

ReviewFrontiers in oncology2022

Gene Expression Profiling in Multiple Myeloma: Redefining the Paradigm of Risk-Adapted Treatment.

Claudio Cerchione, Saad Z Usmani, A Keith Stewart, Martin Kaiser, Leo Rasche, Martin Kortüm, María-Victoria Mateos, Andrew Spencer, Pieter Sonneveld, Kenneth C Anderson

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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.

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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. International Myeloma Society/International Myeloma Working Group Consensus Recommendations on the Definition of High-Risk Multiple Myeloma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Guideline
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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

10 authors at 9 institutions in 8 countries.

Claudio CerchioneHematology Unit, IRCCS Istituto Scientifico Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Saad Z UsmaniDivision of Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
A Keith StewartPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Martin KaiserDivision of Molecular Pathology, The Institute of Cancer Research, London, United Kingdom.
Leo RascheDepartment of Internal Medicine II, University Hospital of Würzburg, Würzburg, Germany.
Martin KortümDepartment of Internal Medicine II, University Hospital of Würzburg, Würzburg, Germany.
María-Victoria MateosDepartment of Hematology, University Hospital of Salamanca, Salamanca, Spain.
Andrew SpencerMalignant Haematology and Stem Cell Transplantation Service, Alfred Hospital-Monash University, Melbourne, Australia.
Pieter SonneveldDepartment of Hematology, Erasmus MC Cancer Institute Rotterdam, Rotterdam, Netherlands.
Kenneth C AndersonJerome Lipper Multiple Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States.
Universitätsklinikum Würzburg · DEDana-Farber Cancer Institute · USErasmus MC Cancer Institute · NLInstitute of Cancer Research · GBIstituti di Ricovero e Cura a Carattere Scientifico · ITMemorial Sloan Kettering Cancer Center · USMonash University · AUUniversidad de Salamanca · ESUniversity Health Network · CA

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Multiple myeloma is a blood cancer characterized by clonal proliferation of plasma cells in the bone marrow. In recent years, several new drugs have been added to the therapeutic landscape of multiple myeloma, which have contributed to increased survival rates. However, while the use of therapeutics has evolved, there is still a group of high-risk patients who do not benefit from current treatment strategies. Risk stratification and risk-adapted treatment are crucial to identify the group of patients with urgent need for novel therapies. Gene expression profiling has been introduced as a tool for risk stratification in multiple myeloma based on the genetic make-up of myeloma cells. In this review we discuss the challenge of defining the high-risk multiple myeloma patient. We focus on the standardized analysis of myeloma cancer cells by gene expression profiling and describe how gene expression profiling provides additional insights for optimal risk-adapted treatment of patients suffering from multiple myeloma.

Indexed as

gene expression profiling (GEP)multiple myelomanovel agentsrisk-adapted treatmentrisk stratificationSKY92

Identifiers

PMID35211412
PMCPMC8861274
OpenAlexW4210895175

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.