Evidence map›Paper›PMID 32102656›Full record

SynthesisRespiratory research2020

Downregulation of hsa-microRNA-204-5p and identification of its potential regulatory network in non-small cell lung cancer: RT-qPCR, bioinformatic- and meta-analyses.

Chang-Yu Liang, Zu-Yun Li, Ting-Qing Gan, Ye-Ying Fang, Bin-Liang Gan, Wen-Jie Chen, Yi-Wu Dang, Ke Shi, Zhen-Bo Feng, Gang Chen

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Respiratory research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 30% 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, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Prognostic significance ofTranslational cancer research · 2025
    Article
  5. Role of Sam68 in different types of cancer (Review).International journal of molecular medicine · 2025
    Review
  6. Article
  7. Mathematical Modeling Support for Lung Cancer Therapy-A Short Review.International journal of molecular sciences · 2023
    Review
  8. Article
  9. Article
  10. 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

10 authors at 2 institutions in 1 country.

Chang-Yu LiangDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Zu-Yun LiDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Ting-Qing GanDepartment of Medical Oncology, Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, Guangxi Zhuang Autonomous Region, People's Republic of China.
Ye-Ying FangDepartment of Radiotherapy, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Bin-Liang GanDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Wen-Jie ChenDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Yi-Wu DangDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Ke ShiDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
Zhen-Bo FengDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China. fengzhenbo_gxmu@163.com.
Gang ChenDepartment of Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China. chengang@gxmu.edu.cn.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

Fund of National Natural Science Foundation of China NSFC 81560469Fund of National Natural Science Foundation of China NSFC81760420Guangxi Degree and Postgraduate Education Reform and Development Research Projects JGY2019050Guangxi Zhuang Autonomous Region Health and Family Planning Commission Self-financed Scientific Research Project Z20180979Natural Science Foundation of Guangxi 2016GXNSFAA380255Natural Science Foundation of Guangxi 2017GXNSFAA198016
6 · The paper itself

Abstract

backgroundPulmonary malignant neoplasms have a high worldwide morbidity and mortality, so the study of these malignancies using microRNAs (miRNAs) has attracted great interest and enthusiasm. The aim of this study was to determine the clinical effect of hsa-microRNA-204-5p (miR-204-5p) and its underlying molecular mechanisms in non-small cell lung cancer (NSCLC).

methodsExpression of miR-204-5p was investigated by real-time quantitative PCR (RT-qPCR). After data mining from public online repositories, several integrative assessment methods, including receiver operating characteristic (ROC) curves, hazard ratios (HR) with 95% confidence intervals (95% CI), and comprehensive meta-analyses, were conducted to explore the expression and clinical utility of miR-204-5p. The potential objects regulated and controlled by miR-204-5p in the course of NSCLC were identified by estimated target prediction and analysis. The regulatory network of miR-204-5p, with its target genes and transcription factors (TFs), was structured from database evidence and literature references.

resultsThe expression of miR-204-5p was downregulated in NSCLC, and the downtrend was related to gender, histological type, vascular invasion, tumor size, clinicopathologic grade and lymph node metastasis (P<0.05). MiR-204-5p was useful in prognosis, but was deemed unsuitable at present as an auxiliary diagnostic or prognostic risk factor for NSCLC due to the lack of statistical significance in meta-analyses and absence of large-scale investigations. Gene enrichment and annotation analyses identified miR-204-5p candidate targets that took part in various genetic activities and biological functions. The predicted TFs, like MAX, MYC, and RUNX1, interfered in regulatory networks involving miR-204-5p and its predicted hub genes, though a modulatory loop or axis of the miRNA-TF-gene that was out of range with shortage in database prediction, experimental proof and literature confirmation.

conclusionsThe frequently observed decrease in miR-204-5p was helpful for NSCLC diagnosis. The estimated target genes and TFs contributed to the anti-oncogene effects of miR-204-5p.

Indexed as

Carcinoma, Non-Small-Cell LungComputational BiologyDown-RegulationGene Regulatory NetworksHumansLung NeoplasmsMicroRNAsReal-Time Polymerase Chain ReactionMicroRNAsMIRN204 microRNA, humanmicroRNA microarraymicroRNA-sequencingmiRNA-204-5pMolecular mechanismsNSCLCReal time -qPCR

Identifiers

PMID32102656
PMCPMC7045575
OpenAlexW3010888663

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.