Evidence map›Paper›PMID 34448362›Full record

ArticleInternational journal of laboratory hematology2022

Prognostic gene expression analysis in a retrospective, multinational cohort of 155 multiple myeloma patients treated outside clinical trials.

Yan-Ting Chen, Erik T Valent, Erik H van Beers, Rowan Kuiper, Stefania Oliva, Torsten Haferlach, Wee-Joo Chng, Martin H van Vliet, Pieter Sonneveld, Alessandra Larocca

Abstract readMulticenter Study
In one paragraph

Article in International journal of laboratory hematology, 2022. 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. Article
  3. Review
  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

10 authors.

Yan-Ting ChenSkylineDx, Rotterdam, The Netherlands.
Erik T ValentSkylineDx, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0002-1640-0119
Erik H van BeersSkylineDx, Rotterdam, The Netherlands.
Rowan KuiperSkylineDx, Rotterdam, The Netherlands.
Stefania OlivaMyeloma Unit, Division of Hematology, University of Turin, Turin, Italy.
Torsten HaferlachMLL Munich Leukemia Laboratory, Munich, Germany.
Wee-Joo ChngNational University Cancer Institute, National University Health System, Singapore City, Singapore.
Martin H van VlietSkylineDx, Rotterdam, The Netherlands.
Pieter SonneveldDepartment of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Alessandra LaroccaMyeloma Unit, Division of Hematology, University of Turin, Turin, Italy.

Funding

European Union's Horizon 2020 research and innovation programme 701143
6 · The paper itself

Abstract

objectivesTypically, prognostic capability of gene expression profiling (GEP) is studied in the context of clinical trials, for which 50%-80% of patients are not eligible, possibly limiting the generalizability of findings to routine practice. Here, we evaluate GEP analysis outside clinical trials, aiming to improve clinical risk assessment of multiple myeloma (MM) patients.

methodsA total of 155 bone marrow samples from MM patients were collected from which RNA was analyzed by microarray. Sixteen previously developed GEP-based markers were evaluated, combined with survival data, and studied using Cox proportional hazard regression.

resultsGene expression profiling-based markers SKY92 and the PR-cluster were shown to be independent prognostic factors for survival, with hazard ratios and 95% confidence interval of 3.6 [2.0-6.8] (P < .001) and 5.8 [2.7-12.7] (P < .01) for overall survival (OS). A multivariate model proved only SKY92 and the PR-cluster to be independent prognostic factors compared to cytogenetic high-risk patients, the International Staging System (ISS), and revised ISS. A substantial number of high-risk individuals could be further identified when SKY92 was added to the cytogenetic, ISS, or R-ISS. In the cytogenetic standard-risk group, ISS I/II, and R-ISS I/II, 13%, 23%, and 23% of patients with adverse survivals were identified.

conclusionsFor the first time, this study confirmed the prognostic value of GEP markers outside clinical trials. Conventional prognostic models to define high-risk MM are improved by the incorporation of GEP markers.

Indexed as

Biomarkers, TumorGene Expression ProfilingTranscriptomeBone Marrow CellsDisease ManagementHumansMultiple MyelomaNeoplasm StagingPharmacogenomic VariantsPrognosisProportional Hazards ModelsRetrospective StudiesBiomarkers, Tumorgene expression profilingmultiple myelomaprognostication

Identifiers

PMID34448362
PMCPMC9290833

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.