Evidence map›Paper›PMID 22157961›Full record

ArticleJournal of the National Cancer Institute2011

Prognostic and predictive value of a malignancy-risk gene signature in early-stage non-small cell lung cancer.

Dung-Tsa Chen, Ying-Lin Hsu, William J Fulp, Domenico Coppola, Eric B Haura, Timothy J Yeatman, W Douglas Cress

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

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

  1. Comprehensive evaluation of published gene expression prognostic signatures for biomarker-based lung cancer clinical studies.Annals of oncology : official journal of the European Society for Medical Oncology · 2017
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  12. Molecular Analysis ofInternational journal of molecular sciences · 2021
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1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Dung-Tsa ChenDepartment of Biostatistics, Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA. dung-tsa.chen@moffitt.org
Ying-Lin Hsu
William J Fulp
Domenico Coppola
Eric B Haura
Timothy J Yeatman
W Douglas Cress

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
SPORE in Lung CancerP50CA119997 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GABRILOVICH, DMITRY I · 2008 to 2012
$11.0M
Chip-Based Diagnosis of Problematic Liver TumorsR01CA112215 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI YEATMAN, TIMOTHY J · 2006 to 2010
$2.3M
NCI NIH HHS P30 CA076292NCI NIH HHS P30CA076292NCI NIH HHS P50 CA119997NCI NIH HHS P50-CA119997NCI NIH HHS R01 CA112215NCI NIH HHS R01CA112215
6 · The paper itself

Abstract

backgroundThe malignancy-risk gene signature is composed of numerous proliferative genes and has been applied to predict breast cancer risk. We hypothesized that the malignancy-risk gene signature has prognostic and predictive value for early-stage non-small cell lung cancer (NSCLC) patients.

methodsThe ability of the malignancy-risk gene signature to predict overall survival (OS) of early-stage NSCLC patients was tested using a large NSCLC microarray dataset from the Director's Challenge Consortium (n = 442) and two independent NSCLC microarray datasets (n = 117 and 133, for the GSE13213 and GSE14814 datasets, respectively). An overall malignancy-risk score was generated by principal component analysis to determine the prognostic and predictive value of the signature. An interaction model was used to investigate a statistically significant interaction between adjuvant chemotherapy (ACT) and the gene signature. All statistical tests were two-sided.

resultsThe malignancy-risk gene signature was statistically significantly associated with OS (P < .001) of NSCLC patients. Validation with the two independent datasets demonstrated that the malignancy-risk score had prognostic and predictive values: Of patients who did not receive ACT, those with a low malignancy-risk score had increased OS compared with a high malignancy-risk score (P = .007 and .01 for the GSE13212 and GSE14814 datasets, respectively), indicating a prognostic value; and in the GSE14814 dataset, patients receiving ACT survived longer in the high malignancy-risk score group (P = .03), and a statistically significant interaction between ACT and the signature was observed (P = .02).

conclusionsThe malignancy-risk gene signature was associated with OS and was a prognostic and predictive indicator. The malignancy-risk gene signature could be useful to improve prediction of OS and to identify those NSCLC patients who will benefit from ACT.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAnalysis of VarianceCarcinoma, Non-Small-Cell LungFemaleGene Expression ProfilingHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedNeoplasm GradingNeoplasm StagingPredictive Value of TestsPrognosis

Identifiers

PMID22157961
PMCPMC3243673

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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.