Evidence map›Paper›PMID 29172257›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2017

Clinicopathological Significance of MTA 1 Expression in Patients with Non-Small Cell Lung Cancer: A Meta-Analysis

Wei Zhu, Guixian Li, Haina Guo, Honglang Chen, Xiujuan Xu, Jiali Long, Chao Zeng, Xiaojun Wang

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Article in Asian Pacific journal of cancer prevention : APJCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 36% 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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Wei ZhuDepartment of Pathology, School of Basic Medicine, Guangdong Medical University, Dongguan, Guangdong Province, China. Email: wangxj1688@126.com, zengchaosysu@126.com
Guixian Li
Haina Guo
Honglang Chen
Xiujuan Xu
Jiali Long
Chao Zeng
Xiaojun Wang
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metastasis associated gene 1(MTA1) is one of the most deregulated molecules in human cancer and leads to cancer progression and metastasis. We performed a meta-analysis to determine the correlations between MTA1 expression and the clinicopathological characteristics of non-small cell lung cancer (NSCLC). Methods: We searched PubMed, Springer, Science Direct, Google Scholar and China National Knowledge Infrastructure (CNKI) for relevant articles. For statistical analyses, we used R3.1.1 software. The fixed or random effects model was employed based on the results of the statistical test for homogeneity. Results: Seven studies involving 660 NSCLC patients were included. The proportion of MTA1 overexpression with 95% confidence interval (95% CI) was 0.53(95%CI: 0.43-0.62) in NSCLC patients; 0.47(95%CI: 0.40-0.55) in age <60 years and 0.52(95%CI: 0.34-0.70) in age ≥60 years; 0.5(95%CI: 0.41- 0.62) in males and 0.51(95%CI: 0.39-0.62) in females; 0.59(95%CI: 0.48-0.69) in squamous cell carcinoma (SC) and 0.57(95%CI: 0.46-0.67) in adenocarcinoma (AC); 0.39(95%CI: 0.23-0.56) in well-differentiated tumors, 0.44(95%CI: 0.37-0.51) in moderately differentiated tumors and 0.55(95%CI: 0.37-0.51) in poorly differentiated tumors; 0.48(95%CI: 0.36-0.60) in clinical grade (III-IV) NSCLC and 0.75 (95%CI: 0.69-0.81) in clinical grade (I-II) NSCLC; 0.58(95%CI: 0.45-0.71) in T Stage (T1/T2) NSCLC; 0.68(95%CI: 0.49-0.82) in NSCLC patients with lymph node positivity and 0.51(95%CI: 0.43-0.58) in NSCLC patients with lymph node negativity. Conclusions: These results indicated that MTA1 might be a valuable biomarker in the diagnosis of NSCLC. MTA1 overexpression was significantly associated with age ≥60 years, gender, histopathological type, clinical grade (I-II), T stage (T1/T2) and lymph node positivity in NSCLC patients.

Indexed as

meta-analysisMTA1NSCLC

Identifiers

PMID29172257
PMCPMC5773769
OpenAlexW2767240280

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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.