Evidence map›Paper›PMID 26042604›Full record

ArticleScientific reports2015

Pathway-based gene signatures predicting clinical outcome of lung adenocarcinoma.

Ya-Hsuan Chang, Chung-Ming Chen, Hsuan-Yu Chen, Pan-Chyr Yang

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. Pooled it
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  6. Frontiers in molecular biosciences · 2022
    Article
  7. METTL3-mediated mJournal of experimental & clinical cancer research : CR · 2021
    Article
  8. Review
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  10. PIMKL: Pathway-Induced Multiple Kernel Learning.NPJ systems biology and applications · 2019
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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

4 authors.

Ya-Hsuan ChangInstitute of Biomedical Engineering, National Taiwan University, No.1, Section 1, Jen-Ai Road, Taipei 100, Taiwan.
Chung-Ming ChenInstitute of Biomedical Engineering, National Taiwan University, No.1, Section 1, Jen-Ai Road, Taipei 100, Taiwan.
Hsuan-Yu ChenInstitute of Statistical Science, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, Taiwan.
Pan-Chyr YangDepartment of Internal Medicine, National Taiwan University College of Medicine, No.1, Section 1, Jen-Ai Road, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung adenocarcinoma is often diagnosed at an advanced stage with poor prognosis. Patients with different clinical outcomes may have similar clinico-pathological characteristics. The results of previous studies for biomarkers for lung adenocarcinoma have generally been inconsistent and limited in clinical application. In this study, we used inverse-variance weighting to combine the hazard ratios for the four datasets and performed pathway analysis to identify prognosis-associated gene signatures. A total of 2,418 genes were found to be significantly associated with overall survival. Of these, a 21-gene signature in the HMGB1/RAGE signalling pathway and a 31-gene signature in the clathrin-coated vesicle cycle pathway were significantly associated with prognosis of lung adenocarcinoma across all four datasets (all p-values < 0.05, log-rank test). We combined the scores for the three pathways to derive a combined pathway-based risk (CPBR) score. Three pathway-based signatures and CPBR score also had more predictive power than single genes. Finally, the CPBR score was validated in two independent cohorts (GSE14814 and GSE13213 in the GEO database) and had significant adjusted hazard ratios 2.72 (p-value < 0.0001) and 1.71 (p-value < 0.0001), respectively. These results could provide a more complete picture of the lung cancer pathogenesis.

Indexed as

TranscriptomeAdenocarcinomaAdenocarcinoma of LungCarcinoma, Non-Small-Cell LungClathrin-Coated VesiclesCohort StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHMGB1 ProteinHumansKaplan-Meier EstimateLung NeoplasmsMAP Kinase Signaling SystemPatient Outcome AssessmentPrognosisProportional Hazards ModelsHMGB1 ProteinReceptor for Advanced Glycation End ProductsReceptors, Adrenergic, beta

Identifiers

PMID26042604
PMCPMC4455286

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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.