Evidence map›Paper›PMID 24092988›Full record

ArticleOncoTargets and therapy2013

Expression and prognostic relevance of MET and phospho-BAD in non-small cell lung cancer.

Wenze Sun, Ting Ai, Ying Gao, Yingbing Zhang, Jie Cui, Liping Song

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. OncoTargets and therapy · 2017
    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

6 authors.

Wenze SunDepartment of Radiation Oncology, First Affiliated Hospital, Medical College of Xi'an Jiaotong University, Xi'an, People's Republic of China.
Ting Ai
Ying Gao
Yingbing Zhang
Jie Cui
Liping Song

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMET is involved in the progression of several types of human cancers, while phospho-BAD(Ser-136) is a key molecule in apoptosis and might be regulated by MET. The aim of this study was to investigate the correlation between altered expression of MET and phospho-BAD in non-small cell lung cancer (NSCLC) and their association with clinicopathologic parameters and overall survival.

methodsMET and phospho-BAD(Ser-136) proteins were evaluated by immunohistochemical analysis in 183 paraffin-embedded specimens and were also assessed by Western blotting analysis in 12 frozen tumor tissue samples, which were representative examples of immunohistochemical staining.

resultsPositive expression of MET and phospho-BAD(Ser-136) occurred in 67.2% and 49.2% of the 183 cases of NSCLC, respectively. However, neither MET expression nor phospho-BAD(Ser-136) expression was associated with any clinicopathologic parameter. A significant correlation was found between MET and phospho-BAD(Ser-136) expression levels evaluated by immunohistochemistry (r = 0.268, P < 0.001). Overexpression of MET was significantly associated with shortened overall survival in univariate analysis (P < 0.001). Moreover, patients with a MET+/phospho-BAD(Ser-136)+ phenotype had a poorer prognosis than others (P < 0.001). Multivariate Cox proportional hazard analysis confirmed that MET expression is a prognostic factor for NSCLC.

conclusionMET expression might be correlated with phospho-BAD(Ser-136) expression, and may be an adverse predictor for NSCLC. Activation of the MET/phospho-BAD(Ser-136) signaling pathway might play a role in the development and progression of NSCLC.

Indexed as

METnon-small cell lung cancerphospho-BADprognosis

Identifiers

PMID24092988
PMCPMC3787924

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.