Evidence map›Paper›PMID 22970185›Full record

ArticlePloS one2012

Development and validation of a prognostic gene-expression signature for lung adenocarcinoma.

Yun-Yong Park, Eun Sung Park, Sang Bae Kim, Sang Cheol Kim, Bo Hwa Sohn, In-Sun Chu, Woojin Jeong, Gordon B Mills, Lauren Averett Byers, Ju-Seog Lee

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

24 citing papers in PubMed, 39 citations in OpenAlex.

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  17. Intrinsic cancer subtypes--next steps into personalized medicine.Cellular oncology (Dordrecht, Netherlands) · 2015
    Review
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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 at 3 institutions in 2 countries.

Yun-Yong ParkDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
Eun Sung Park
Sang Bae Kim
Sang Cheol Kim
Bo Hwa Sohn
In-Sun Chu
Woojin Jeong
Gordon B Mills
Lauren Averett Byers
Ju-Seog Lee
The University of Texas MD Anderson Cancer Center · USKorea Research Institute of Bioscience and Biotechnology · KREwha Womans University · KR

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Targeting the PI3K Signaling Pathway in Endometrial CarcinomaP50CA098258 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BODURKA, DIANE · 2003 to 2020
$32.0M
U OF TEXAS HLTH SCI CTR HOUSTON CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR024148 · NCRR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2006 to 2010
$27.9M
NCI NIH HHS CA106672NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA098258NCRR NIH HHS UL1 RR024148
6 · The paper itself

Abstract

Although several prognostic signatures have been developed in lung cancer, their application in clinical practice has been limited because they have not been validated in multiple independent data sets. Moreover, the lack of common genes between the signatures makes it difficult to know what biological process may be reflected or measured by the signature. By using classical data exploration approach with gene expression data from patients with lung adenocarcinoma (n = 186), we uncovered two distinct subgroups of lung adenocarcinoma and identified prognostic 193-gene gene expression signature associated with two subgroups. The signature was validated in 4 independent lung adenocarcinoma cohorts, including 556 patients. In multivariate analysis, the signature was an independent predictor of overall survival (hazard ratio, 2.4; 95% confidence interval, 1.2 to 4.8; p = 0.01). An integrated analysis of the signature revealed that E2F1 plays key roles in regulating genes in the signature. Subset analysis demonstrated that the gene signature could identify high-risk patients in early stage (stage I disease), and patients who would have benefit of adjuvant chemotherapy. Thus, our study provided evidence for molecular basis of clinically relevant two distinct two subtypes of lung adenocarcinoma.

Indexed as

Gene Expression Regulation, NeoplasticTranscriptomeAdenocarcinomaAdenocarcinoma of LungAdultAgedAged, 80 and overChemotherapy, AdjuvantCluster AnalysisCohort StudiesFemaleGenes, NeoplasmHumansLung NeoplasmsMaleMiddle Aged

Identifiers

PMID22970185
PMCPMC3436895
OpenAlexW2065687583

What OpenQuestion holds

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LicenceCC BY
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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.