Evidence map›Paper›PMID 35844693›Full record

ArticleEJHaem2021

Gene expression profiling impacts treatment decision making in newly diagnosed multiple myeloma patients in the prospective PROMMIS trial.

Noa Biran, Binod Dhakal, Suzanne Lentzsch, David Siegel, Saad Z Usmani, Adriana Rossi, Cara Rosenbaum, Divaya Bhutani, David H Vesole, Cesar Rodriguez and 10 more

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in EJHaem, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02911571 (Prospective Multicenter Study to Measure the Impact of MMprofiler on Treatment Intention in Active Multiple Myeloma Patients), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 30% 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.

NCT02911571 naactive not recruitingnot on this map

Prospective Multicenter Study to Measure the Impact of MMprofiler on Treatment Intention in Active Multiple Myeloma Patients

TypeinterventionalSponsorSkylineDxRan2018 to 2026Enrolled250ConditionsMultiple MyelomaArmsMMprofiler SKY92 gene signature
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Gene expression profiling as a prognostic tool in multiple myeloma.Cancer drug resistance (Alhambra, Calif.) · 2021
    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

20 authors at 10 institutions in 1 country.

Noa BiranMyeloma Division John Theurer Cancer Center Hackensack University Medical Center Hackensack New Jersey USA.ORCID https://orcid.org/0000-0003-0693-4202
Binod DhakalDivision of Hematology and Oncology Department of Medicine Medical College of Wisconsin Milwaukee Wisconsin USA.
Suzanne LentzschDivision of Hematology and Oncology Herbert Irving Comprehensive Cancer Center Columbia University New York New York USA.
David SiegelMyeloma Division John Theurer Cancer Center Hackensack University Medical Center Hackensack New Jersey USA.
Saad Z UsmaniLevine Cancer Institute Charlotte North Carolina USA.
Adriana RossiDepartment of Medical Oncology New York Presbyterian Hospital-Weill Cornell Medical Center Weill Cornell Medicine New York New York USA.
Cara RosenbaumDepartment of Medical Oncology New York Presbyterian Hospital-Weill Cornell Medical Center Weill Cornell Medicine New York New York USA.ORCID https://orcid.org/0000-0002-3576-9106
Divaya BhutaniDivision of Hematology and Oncology Herbert Irving Comprehensive Cancer Center Columbia University New York New York USA.ORCID https://orcid.org/0000-0002-5482-7543
David H VesoleMyeloma Division John Theurer Cancer Center Hackensack University Medical Center Hackensack New Jersey USA.
Cesar RodriguezWake Forest Baptist Comprehensive Cancer Center Winston-Salem North Carolina USA.
Ajay K NookaWinship Cancer Institute Emory University Atlanta Georgia USA.
Frits van RheeMyeloma Center University of Arkansas of Medical Sciences Little Rock Arkansas USA.
Lisette Stork-SlootsMedex15 Amsterdam The Netherlands.
Femke de SnooMedex15 Amsterdam The Netherlands.ORCID https://orcid.org/0000-0001-5262-8180
Pritish K BhattacharyyaMyeloma Division John Theurer Cancer Center Hackensack University Medical Center Hackensack New Jersey USA.
Durga Prasad DashVersiti Blood Center of Wisconsin Milwaukee Wisconsin USA.
Sena ZümrütçüSkylineDx Rotterdam The Netherlands.
Martin H van VlietSkylineDx Rotterdam The Netherlands.
Parameswaran HariDivision of Hematology and Oncology Department of Medicine Medical College of Wisconsin Milwaukee Wisconsin USA.
Ruben NiesvizkyDepartment of Medical Oncology New York Presbyterian Hospital-Weill Cornell Medical Center Weill Cornell Medicine New York New York USA.
Hackensack University Medical Center · USNewYork–Presbyterian Hospital · USColumbia University Irving Medical Center · USMedex Healthcare Research · USMedical College of Wisconsin · USAtrium Health Wake Forest Baptist · USEmory University · USLevine Cancer Institute · USUniversity of Arkansas Medical Center · USVersiti Blood Center of Wisconsin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a heterogeneous hematologic malignancy associated with several risk factors including genetic aberrations which impact disease response and survival. Thorough risk classification is essential to select the best clinical strategy to optimize outcomes. The SKY92 molecular signature classifies patients as standard- or high-risk for progression. The PRospective Observational Multiple Myeloma Impact Study (PROMMIS; NCT02911571) measures impact of SKY92 on risk classification and treatment plan. Newly diagnosed MM patients had bone marrow aspirates analyzed for SKY92. Physicians completed a questionnaire for each patient capturing risk classification, hypothetical treatment plan, and physician confidence in the treatment plan, before and after unblinding SKY92. One hundred forty seven MM patients were enrolled. Before unblinding SKY92, physicians regarded 74 (50%) patients as clinical standard-risk. After unblinding SKY92, 16 patients were re-assigned as high-risk by the physician, and for 15 of them treatment strategy was impacted, resulting in an escalated treatment plan. For the 73 (50%) clinical high-risk patients, SKY92 indicated 46 patients to be standard-risk; for 31 of these patients the treatment strategy was impacted consistent with a de-escalation of risk. Overall, SKY92 impacted treatment decisions in 37% of patients (

Indexed as

clinical trialsgene arraysgene expressionmultiple myeloma

Identifiers

PMID35844693
PMCPMC9175784
OpenAlexW3163404677

What OpenQuestion holds

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LicenceCC BY
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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.