Evidence map›Paper›PMID 23482333›Full record

ArticleOncotarget2012

Gene expression-based risk score in diffuse large B-cell lymphoma.

Caroline Bret, Bernard Klein, Jérôme Moreaux

Abstract read
In one paragraph

Article in Oncotarget, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Caroline BretDepartment of Biological Hematology, St Eloi Hospital, Montpellier, France.
Bernard Klein
Jérôme Moreaux

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma and displays heterogeneous clinical and molecular characteristics. In this study, high throughput gene expression profiling of DLBCL tumor samples was used to design a 12-gene expression-based risk score (GERS) predictive for patient's overall survival. GERS allowed identifying a high-risk group comprising 46,4% of the DLBCL patients in two independent cohorts (n=414 and n=69). GERS was shown to be an independent predictor of survival when compared to the previously published prognostic factors, including the International Prognostic Index (IPI). GERS displayed a prognostic value in germinal-center B-cell-like subgroup (GCB) and activated B cell-like (ABC) molecular subgroups of patients as well as in DLBCL patients treated with cyclophosphamide, doxorubicin, vincristine and prednisone (CHOP) or rituximab-CHOP (R-CHOP) regimens. Combination of GERS and IPI lead to a potent prognostic classification of DLBCL patients. Finally, a genomic instability gene signature was highlighted in gene expression profiles of patients belonging to the high-risk GERS-defined group.

Indexed as

Gene Expression ProfilingAntibodies, Monoclonal, Murine-DerivedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCluster AnalysisCyclophosphamideDoxorubicinGenetic Predisposition to DiseaseGenetic TestingGenomic InstabilityHumansKaplan-Meier EstimateLymphoma, Large B-Cell, DiffuseMultivariate AnalysisPhenotypePrednisoneAntibodies, Monoclonal, Murine-DerivedBiomarkers, TumorCyclophosphamideDoxorubicinPrednisoneR-CHOP protocolRituximabVincristine

Identifiers

PMID23482333
PMCPMC3681505

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Registered trials

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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.