Evidence map›Paper›PMID 36531335›Full record

ArticleJournal of environmental and public health2022

MicroRNA-340 and MicroRNA-450b-5p: Plasma Biomarkers for Detection of Non-Small-Cell Lung Cancer.

Yanmin Wu, Hui Jing, Jinghao Zhang

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of environmental and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 citing papers in PubMed.

  1. Review
  2. Article
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  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Yanmin WuPulmonary and Critical Care Medicine, Xuzhou Central Hospital, China.
Hui JingPulmonary and Critical Care Medicine, Xuzhou Central Hospital, China.
Jinghao ZhangPulmonary and Critical Care Medicine, Xuzhou Central Hospital, China.ORCID 0000-0003-1501-2314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Since the inefficient cancer management is caused by inaccurate diagnoses, there is a need for minimally invasive method to improve the diagnostic accuracy of non-small-cell lung (NSCLC). This study intended to detect miR-340 and miR-450b-5p levels in plasma from NSCLC patients and to assess the potential values for the prediction of tumor development and prognosis. Methods: A GSE64591 dataset included 200 samples (100 early-stage NSCLC patients and 100 noncancer control) aimed to identify a panel of circulating miRNAs in plasma. The levels of miR-340 and miR-450b-5p in plasma from NSCLC patients ( Results: miR-450b-5p and miR-340 in plasma was significant difference between early-stage NSCLC patients and noncancer control by searching the GSE64591 dataset. When compared with the healthy controls, the plasma miR-340 was decreased in the NSCLC patients, but the plasma miR-450b-5p was increased. NSCLC patients could be distinguished accurately from healthy controls by the circulating miR-340 and miR-450b-5p with the AUC of 0.740 (95% CI: 0.677~0.804) and of 0.808 (95% CI: 0.754~0.861), respectively. With these two markers, the specificity and sensitivity were 78.33% and 77.5% with the AUC of 0.862. Patients with advanced T, N, and TNM stage demonstrated lower plasma miR-340 and higher plasma miR-450b-5p, and both of them were correlated with the prognosis of NSCLC patients. Furthermore, plasma miR-340 was also negatively correlated with tumor grade. All clinicopathological variables significantly associated to prognosis were T stage, N stage, TNM stage, tumor grade, and plasma levels of miR-340 and miR-450b-5p in univariate Cox regression analysis. The variables that retained their significance in the multivariate model were T stage, plasma miR-340, and plasma miR-450b-5p. Conclusion: The plasma levels of miR-340 combined with miR-450b-5p potentially define core biomarker signatures for improving the accuracy of NSCLC diagnosis. Moreover, circulating miR-340 and miR-450b-5p are independent biomarkers of survival in nonmetastatic NSCLC patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMicroRNAsBiomarkers, TumorHumansLungROC CurveBiomarkers, TumorMicroRNAsMIRN340 microRNA, human

Identifiers

PMID36531335
PMCPMC9750763

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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.