Evidence map›Paper›PMID 19951976›Full record

ArticleHaematologica2010

Gene expression factors as predictors of genetic risk and survival in chronic lymphocytic leukemia.

Dirk Kienle, Axel Benner, Carolin Läufle, Dirk Winkler, Christof Schneider, Andreas Bühler, Thorsten Zenz, Annett Habermann, Ulrich Jäger, Peter Lichter and 3 more

Abstract readComparative Study
In one paragraph

Article in Haematologica, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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.

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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Dirk KienleDepartment of Internal Medicine III, University of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany.
Axel Benner
Carolin Läufle
Dirk Winkler
Christof Schneider
Andreas Bühler
Thorsten Zenz
Annett Habermann
Ulrich Jäger
Peter Lichter
Riccardo Dalla-Favera
Hartmut Döhner
Stephan Stilgenbauer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA variety of surrogate markers for genetic features and outcome have been described in chronic lymphocytic leukemia based on gene expression analyses. Previous studies mostly focused on individual markers and selected disease characteristics, which makes it difficult to estimate the relative value of the novel markers. Therefore, in the present study a comprehensive approach was chosen investigating 18 promising, partly novel expression markers in a well characterized cohort of patients with long clinical follow-up and full genetic information (IGHV status, genomic abnormalities). DESIGN AND

methodsExpression markers were evaluated using real-time quantitative reverse transcriptase polymerase chain reaction in CD19(+)-purified samples from 151 patients. Multivariate analyses were performed to test the markers' ability to identify patients at genetic risk and as prognostic markers in the context of established prognostic factors.

resultsFor individual markers, ZAP70 expression provided the highest rate (81%) of correct assignment of patients at genetic risk (IGHV unmutated, V3-21 usage, 11q- or 17p-), followed by LPL and TCF7 (76% both). The assignment rate was improved to 88% by information from a four-gene combination (ZAP70, TCF7, DMD, ATM). In multivariate analysis of treatment-free survival, IGHV mutation status and expression of ADAM29 were of independent prognostic value besides disease stage. With regards to overall survival, expression of ATM, ADAM29, TCL1, and SEPT10 provided prognostic information in addition to that derived from clinical and genetic factors.

conclusionsGene expression markers are suitable for screening but not as surrogates for the information from genetic risk factors. While many individual markers may be associated with outcome, only a few are of independent prognostic significance. With regard to prognosis estimation, the genetic prognostic factors cannot be replaced by the expression markers.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCohort StudiesFemaleGene Expression Regulation, NeoplasticGenetic MarkersGenetic Predisposition to DiseaseHumansLeukemia, Lymphocytic, Chronic, B-CellMaleMiddle AgedPredictive Value of TestsSurvival RateBiomarkers, TumorGenetic Markers

Identifiers

PMID19951976
PMCPMC2805743

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