Evidence map›Paper›PMID 32535612›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

Prediction of MiR-21-5p in Promoting the Development of Lung Adenocarcinoma via PDZD2 Regulation.

Shengjin Cui, Shuang Lou, Weiquan Guo, Shihui Jian, Yunfeng Wu, Xintong Liu, Xi Lan, Xingwang Jia

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. MiRNAs in Lung Adenocarcinoma: Role, Diagnosis, Prognosis, and Therapy.International journal of molecular sciences · 2023
    Review
  4. Cryptic binding properties of a transient folding intermediate in a PDZ tandem repeat.Protein science : a publication of the Protein Society · 2022
    Article
  5. Article
  6. 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

8 authors at 1 institution in 1 country.

Shengjin CuiDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China (mainland).
Shuang LouDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China (mainland).
Weiquan GuoDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China (mainland).
Shihui JianDepartment of Clinical Laboratory, Guangzhou Huayin Medical Inspection Center Co., Ltd., Guangzhou, Guangdong, China (mainland).
Yunfeng WuDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China (mainland).
Xintong LiuDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China (mainland).
Xi LanDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China (mainland).
Xingwang JiaDepartment of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China (mainland).
Southern Medical University Shenzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Lung adenocarcinoma currently accounts for the highest cancer-related mortality rate worldwide. MiR-21-5p has a vital role in various types of cancers. We have analyzed the miR-21-5p expression level, prognosis, and associated molecular pathways in lung adenocarcinoma with multiple bioinformatics databases. MATERIAL AND METHODS The Cancer Genome Atlas (TCGA) database was employed to fetch the miR-21-5p expression profile in multiple tumors. We used the UALCAN platform to assess the differential regulation of the miR-21-5p in healthy tissue and lung adenocarcinoma. Also, the survival prognosis of the miR-21-5p in each stage of lung adenocarcinoma was done by the Kaplan-Meier database. The STARBASE and UALCAN databases were employed to predict the miR-21-5p target genes, and the levels of target genes and their prognostic value were analyzed. RESULTS MiR-21-5p was overexpressed in the majority of human cancers. MiR-21-5p demonstrated escalated expression in the lung adenocarcinoma tissue in contrast to the normal tissue (P<0.05). Poor prognosis was witnessed in the miR-21-5p high expression group as compared to the low expression group (hazard ratio [HR]= 1.59, P<0.05). PDZD2 was predicted as a miR-21-5p potential target. We found a negative correlation between PDZD2 and miR-21-5p (r=-0.255, P<0.05). PDZD2 was downregulated in lung adenocarcinoma (P<0.05). Overexpression of PDZD2 was associated with a better prognosis of survival in lung adenocarcinoma patients (HR=0.45, P<0.05). CONCLUSIONS MiR-21-5p exhibits the potential to act as a biomarker for the survival prognosis of lung adenocarcinoma. It might be responsible for the onset and progression of lung adenocarcinoma through PDZD2 regulation.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinoma of LungCell Adhesion MoleculesDatabases, FactualDatabases, GeneticHumansLung NeoplasmsMicroRNAsPrognosisProportional Hazards ModelsCell Adhesion MoleculesMicroRNAsMIRN21 microRNA, humanPDZD2 protein, human

Identifiers

PMID32535612
PMCPMC7313425
OpenAlexW3034634772

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.