Evidence map›Paper›PMID 19770384›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2009

Identification and validation of a gene expression signature that predicts outcome in adult men with germ cell tumors.

James E Korkola, Jane Houldsworth, Darren R Feldman, Adam B Olshen, Li-Xuan Qin, Sujata Patil, Victor E Reuter, George J Bosl, R S K Chaganti

Abstract readValidation Study
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. TI-CE high-dose chemotherapy for patients with previously treated germ cell tumors: results and prognostic factor analysis.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2010
    Trial
  2. Article
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  4. Article
  5. Review
  6. Role of Cancer Side Population Stem Cells in Ovarian Cancer Angiogenesis.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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  14. Impact of Teratoma on the Cumulative Incidence of Disease-Related Death in Patients With Advanced Germ Cell Tumors.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2019
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Testicular germ cell tumor genomics.Current opinion in urology · 2017
    Review
  20. 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

9 authors.

James E KorkolaCell Biology Program, Sloan-Kettering Institute for Cancer Research, New York, USA.
Jane Houldsworth
Darren R Feldman
Adam B Olshen
Li-Xuan Qin
Sujata Patil
Victor E Reuter
George J Bosl
R S K Chaganti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGerm cell tumor (GCT) is the most common malignancy in young adult men. Currently, patients are risk-stratified on the basis of clinical presentation and serum tumor markers. The introduction of molecular markers could improve outcome prediction. PATIENTS AND

methodsExpression profiling was performed on 74 nonseminomatous GCTs (NSGCTs) from cisplatin-treated patients (ie, training set) and on 34 similarly treated patients with NSGCTs (ie, validation set). A gene classifier was developed by using prediction analysis for microarrays (PAM) for the binary end point of 5-year overall survival (OS). A predictive score was developed for OS by using the univariate Cox model.

resultsIn the training set, PAM identified 140 genes that predicted 5-year OS (cross-validated classification rate, 60%). The PAM model correctly classified 90% of patients in the validation set. Patients predicted to have good outcome had significantly longer survival than those with poor predicted outcome (P < .001). For the OS end point, a 10-gene model had a predictive accuracy (ie, concordance index) of 0.66 in the training set and a concordance index of 0.83 in the validation set. Dichotomization of the samples on the basis of the median score resulted in significant differences in survival (P = .002). For both end points, the gene-based predictor was an independent prognostic factor in a multivariate model that included clinical risk stratification (P < .01 for both).

conclusionWe have identified gene expression signatures that accurately predict outcome in patients with GCTs. These predictive genes should be useful for the prediction of patient outcome and could provide novel targets for therapeutic intervention.

Indexed as

Gene Expression ProfilingAdolescentAdultAgedAntineoplastic AgentsBiomarkers, TumorCisplatinDrug Resistance, NeoplasmHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasms, Germ Cell and EmbryonalPrognosisTreatment OutcomeYoung AdultAntineoplastic AgentsBiomarkers, TumorCisplatin

Identifiers

PMID19770384
PMCPMC3651602

What OpenQuestion holds

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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.