Evidence map›Paper›PMID 39800477›Full record

SynthesisZhongguo fei ai za zhi = Chinese journal of lung cancer2024

[Prognostic Value of STMN1 Expression in Non-small Cell Lung Cancer: 
A Meta-analysis].

Mengjie Li, Qinghua Zhou

Abstract readMeta-AnalysisEnglish Abstract
In one paragraph

Synthesis in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

  1. 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

2 authors.

Mengjie LiDepartment of Thoracic Oncology, Tianjin Medical University Cancer Institute & Hospital; National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.
Qinghua ZhouLung Cancer Center, West China Hospital, Sichuan University; Sichuan Lung Cancer Institute, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is one of the malignant tumors with the highest morbidity and mortality rates worldwide, seriously threatening human health. Non-small cell lung cancer (NSCLC) accounts for more than 85% of all lung cancer cases. STMN1 is a microtubule depolymerizing protein widely present in the cytoplasm and its expression level is associated with the prognosis of NSCLC patients. Through meta-analysis, this study aimed to investigate the predictive value of the expression level of STMN1 for the prognosis of lung cancer and screen for tumor markers with high sensitivity and specificity to optimize the whole-process management of lung cancer patients.

methodsThe PubMed, The Cochrane Library, Embase, WanFang and CNKI databases were searched from the inception to Sep 6, 2024 for relevant literature. The quality of included studies was assessed by the Newcastle-Ottawa Scale (NOS) score. The hazard ratio (HR) with 95%CI was combined to assess the relationship between STMN1 expression and prognostic factors. The prognostic indicators included the overall survival (OS) and disease-free survival (DFS). All statistical analysis was conducted by the STATA 17.0 software.

resultsA total of 5 high-quality studies (NOS score≥6 points) involving 754 patients were enrolled. The pooled results demonstrated that overexpression of STMN1 was significantly related to worse OS (HR=2.28, 95%CI: 1.79-2.91, P<0.001) and DFS (HR=2.14, 95%CI: 1.45-3.17, P<0.001). Overexpression of STMN1 was a risk factor for poor prognosis of NSCLC patients.

conclusionsOverexpression of STMN1 is a poor prognostic factor in NSCLC patients. STMN1 may serve as a prognostic biomarker for NSCLC patients. However, more researches are still needed to verify the above findings.

Indexed as

Carcinoma, Non-Small-Cell LungGene Expression Regulation, NeoplasticLung NeoplasmsStathminBiomarkers, TumorHumansPrognosisBiomarkers, TumorStathminSTMN1 protein, humanLung neoplasmsMeta-analysisPrognosisSTMN1

Identifiers

PMID39800477
PMCPMC11732388

What Socratic holds

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LicenceCC BY
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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 Socratic graph.