Evidence map›Paper›PMID 31014439›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2019

[Clinical Application of Plasma miR-34b-3p and miR-302a-5p in the Diagnosis of Non-small Cell Lung Cancer].

Zhipeng Song, Zongde Zhang, Yang Liu

Abstract read
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Zhipeng SongDepartment of Epidemiology, Beijing Chest Hospital, Capital Medical University, 
Beijing 101149, China.
Zongde ZhangLaboratory of Molecular Biology, Beijing Chest Hospital, Capital Medical University, 
Beijing 101149, China.
Yang LiuDepartment of Epidemiology, Beijing Chest Hospital, Capital Medical University, 
Beijing 101149, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNA is a kind of single-stranded non-coding RNA whose length is about 22 nucleotides and its abnormal expression is related to disease closely. This study is aiming to explore the relative expression of miR-34b-3p and miR-302a-5p in the plasma of non-small cell lung cancer (NSCLC) patients and its clinical value.

methodsThe levels of miR-34b-3p and miR-302a-5p in plasma were detected by real-time polymerase chain reaction (RT-PCR) in 86 patients with NSCLC, 64 patients with pulmonary tuberculosis (PTB) and 39 healthy subjects. Analyze their value in diagnosing NSCLC by contrasting and combining carcino-embryonic antigen (CEA), neuron-specific enolase (NSE), and cytokeratin 19 fragments 21-1 (CYFRA21-1).

resultsThe levels of plasma miR-34b-3p and miR-302a-5p in NSCLC group were significantly higher than those in the PTB group and the healthy group (P<0.05). In patients with NSCLC, the levels of plasma miR-34b-3p was correlated with the diameter of tumor (P<0.01). When using one plasma marker to diagnose NSCLC, miR-302a-5p had the highest sensitivity (82.6%) and CEA had the highest specificity (81.6%). While combined two plasma markers, miR-34b-3p+miR-302a-5p had the highest sensitivity (80.2%) and miR-34b-3p+CEA had the highest specificity (81.4%). As detected multiple markers, miR-302a-5p+NSE+CYFRA21-1 had the highest sensitivity (81.4%) and miR-34b-3p+CEA+NSE had the highest specificity (90.3%). The combination of miR-34b-3p, miR-302a-5p and CEA obtained the highest area under the curve (AUC), which was 0.832. Logistic regression model indicated that miR-34b-3p was independent risk factor for NSCLC compared to control groups.

conclusionsPlasma miR-34b-3p and miR-302a-5p could be used as biological markers for the diagnosis of NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMicroRNAsMiddle AgedPrognosisMicroRNAsMIRN302A microRNA, humanMIRN34 microRNA, humanDiagnosisLung neoplasmsmicroRNATumor markers

Identifiers

PMID31014439
PMCPMC6500502

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.