Evidence map›Paper›PMID 32696952›Full record

SynthesisBioscience reports2020

Clinicopathological and prognostic value of S100A4 expression in non-small cell lung cancer: a meta-analysis.

Jing Zhang, Yanhui Gu, Xiaoli Liu, Ximin Rao, Guichuan Huang, Yao Ouyang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
0.4field-weighted citation impact, top 40% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 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

6 authors at 1 institution in 1 country.

Jing ZhangDepartment of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, China.
Yanhui GuDepartment of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, China.
Xiaoli LiuDepartment of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, China.
Ximin RaoDepartment of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, China.
Guichuan HuangDepartment of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou 563000, China.
Yao OuyangDepartment of Pulmonary and Critical Care Medicine, The Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, China.
Zunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous published studies have shown that S100A4 is frequently overexpressed in various human cancers. However, the association between S100A4 expression and prognosis or clinicopathological parameters in non-small cell lung cancer (NSCLC) remains unclear. Therefore, a meta-analysis was performed to identify the significance of S100A4 in NSCLC.

methodsSystematic literature search was conducted using PubMed, Embase, Web of Science, the Cochrane Library, the Chinese National Knowledge Infrastructure database (CNKI), and the Wanfang database to obtain relevant articles. A combined hazard ratio (HR) and its corresponding 95% confidence interval (CI) were used to evaluate the association between S100A4 expression and prognosis in NSCLC patients. Pooled odds ratio (OR) and 95% CI were calculated to assess the association between S100A4 expression and clinicopathological features in NSCLC.

resultsNSCLC patients with overexpression of S100A4 had a worse prognosis than patients with low expression of S100A4 (HR = 1.77, 95% CI: 1.55-2.02, P<0.001). Additionally, overexpression of S100A4 was significantly correlated to patients' age (OR = 0.67, 95% CI: 0.49-0.91, P=0.010), tumor differentiation (OR = 2.20, 95% CI: 1.69-2.85, P<0.001), lymph node metastasis (LNM) (OR = 3.70, 95% CI: 2.25-6.06, P<0.001), Tumor-Node-Metastasis (TNM) stage (OR = 3.08, 95% CI: 2.10-4.53, P<0.001), and pathological subtype (OR = 1.77, 95% CI: 1.09-2.88, P=0.020). However, there was no association between S100A4 expression and other clinicopathological features in NSCLC, including gender, tumor size, and smoking.

conclusionS100A4 overexpression was associated with tumor progression and poor prognosis in NSCLC patients. Hence, S100A4 might serve as a potential prognostic biomarker in NSCLC.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungDisease ProgressionHumansLungLung NeoplasmsLymphatic MetastasisNeoplasm StagingPrognosisS100 Calcium-Binding Protein A4Biomarkers, TumorS100A4 protein, humanS100 Calcium-Binding Protein A4meta analysisnon-small cell lung cancerS100A4

Identifiers

PMID32696952
PMCPMC7396424
OpenAlexW3045480787

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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.