Evidence map›Paper›PMID 24922520›Full record

SynthesisPloS one2014

Prognostic value of MET gene copy number and protein expression in patients with surgically resected non-small cell lung cancer: a meta-analysis of published literatures.

Baoping Guo, Hong Cen, Xiaohong Tan, Wenjian Liu, Qing Ke

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Telisotuzumab Vedotin Monotherapy in Patients With Previously Treated c-Met Protein-Overexpressing Advanced NonsquamousJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Trial
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  15. Has programmed cell death ligand-1Translational lung cancer research · 2021
    Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Top-levelTranslational lung cancer research · 2020
    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

5 authors.

Baoping GuoDepartment of Chemotherapy, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Hong CenDepartment of Chemotherapy, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Xiaohong TanDepartment of Chemotherapy, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Wenjian LiuDepartment of Chemotherapy, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Qing KeDepartment of Chemotherapy, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognostic value of the copy number (GCN) and protein expression of the mesenchymal-epithelial transition (MET) gene for survival of patients with non-small cell lung cancer (NSCLC) remains controversial. This study aims to comprehensively and quantitatively asses the suitability of MET GCN and protein expression to predict patients' survival.

methodsPubMed, Embase, Web of Science and Google Scholar were searched for articles comparing overall survival in patients with high MET GCN or protein expression with those with low level. Pooled hazard ratio (HR) and 95% confidence intervals (CIs) were calculated using the random and the fixed-effects models. Subgroup and sensitivity analyses were also performed.

resultsEighteen eligible studies enrolling 5,516 patients were identified. Pooled analyses revealed that high MET GCN or protein expression was associated with poor overall survival (OS) (GCN: HR = 1.90, 95% CI 1.35-2.68, p<0.001; protein expression: HR = 1.52, 95% CI 1.08-2.15, p = 0.017). In Asian populations (GCN: HR = 2.22, 95% CI 1.46-3.38, p<0.001; protein expression: HR = 1.89, 95% CI 1.34-2.68, p<0.001), but not in the non-Asian subset. For adenocarcinoma, high MET GCN or protein expression indicated decreased OS (GCN: HR = 1.49, 95% CI 1.05-2.10, p = 0.025; protein expression: HR = 1.69, 95% CI 1.31-2.19, p<0.001). Results were similar for multivariate analysis (GCN: HR = 1.61, 95% CI 1.15-2.25, p = 0.005; protein expression: HR = 2.18, 95% CI 1.60-2.97, p<0.001). The results of the sensitivity analysis were not materially altered and did not draw different conclusions.

conclusionsIncreased MET GCN or protein expression was significantly associated with poorer survival in patients with surgically resected NSCLC; this information could potentially further stratify patients in clinical treatment.

Indexed as

Gene DosageAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungEpithelial-Mesenchymal TransitionFemaleHumansImmunohistochemistryLung NeoplasmsMaleMiddle AgedPrognosisProto-Oncogene Proteins c-metPublication BiasSurvival AnalysisProto-Oncogene Proteins c-met

Identifiers

PMID24922520
PMCPMC4055667

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.