Evidence map›Paper›PMID 32388809›Full record

ArticleHuman cell2020

A combination of four serum miRNAs for screening of lung adenocarcinoma.

Jingyao Wang, Chunduo Zhang, Xiqi Peng, Kaihao Liu, Liwen Zhao, Xuan Chen, Hongjian Yu, Yongqing Lai

Abstract read
PubMed Publisher
In one paragraph

Article in Human cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 32% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 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 2 institutions in 1 country.

Jingyao WangGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China.
Chunduo ZhangGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China.
Xiqi PengGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China.
Kaihao LiuGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China.
Liwen ZhaoGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China.
Xuan ChenGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China.
Hongjian YuDepartment of Invasive Technology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China. 13510078109@163.com.
Yongqing LaiGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China. yqlord@163.com.
Peking University Shenzhen Hospital · CNAnhui Medical University · CN

Funding

Clinical Research Project of Shenzhen Health Commission no. SZLY2018023Science and Technology Development Fund Project of Shenzhen no. JCYJ20180507183102747
6 · The paper itself

Abstract

Serum microRNAs (miRNAs), with their noticeable stability and unique expression pattern in patients with various diseases, are robust novel non-invasive biomarkers for cancer detection. The objective of this study was to identify specific serum miRNAs as potential biomarkers for screening lung adenocarcinoma. The study was divided into a screening phase, training phase, and validation phase. The expression of 46 serum miRNAs from lung adenocarcinoma (LUAD) patients and healthy controls (HCs) were examined in the screening phase. The expression of the most dysregulated miRNAs was further verified in training (30 LUAD vs. 30 HCs) and validation (82 LUAD vs. 90 HCs) phases. Seven serum miRNAs (miR-142-5p, miR-203a-5p, miR-409-3p, miR-223-3p, miR-150-5p, miR-486-5p and miR-146a-5p) in LUAD patients were significantly dysregulated compared to those in HCs. Their ability to diagnose lung cancer was also significant, with miR-142-5p (AUC = 0.743), miR-409-3p (AUC = 0.755), miR-223-3p (AUC = 0.828) and miR-146a-5p (AUC = 0.745) being more prominent. The combined use of these four could enhance diagnostic value (AUC = 0.933). Our findings define a distinct miRNA expression profile in the serum of LUAD patients. The four-miRNA panel (miR-142-5p, miR-409-3p, miR-223-3p and 146a-5p) may be considered as a novel, non-invasive biomarker for LUAD early detection.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorEarly Detection of CancerHumansLung NeoplasmsMicroRNAsBiomarkers, TumorMicroRNAsCirculating biomarkersDiagnostic panelLung adenocarcinomamiRNAs

Identifiers

PMID32388809
OpenAlexW3023592636

What OpenQuestion holds

Textmetadata
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.