Evidence map›Paper›PMID 36147635›Full record

ArticleBioMed research international2022

Application of miRNA Biomarkers in Predicting Overall Survival Outcomes for Lung Adenocarcinoma.

Tingting Li, Huanqing Liu, Chunsheng Dong, Jun Lyu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Chaperonin in health and disease.Molecular biomedicine · 2026
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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

4 authors at 3 institutions in 1 country.

Tingting LiDepartment of Pharmacy, Xi'an Chest Hospital, Xi'an, Shaanxi, China.
Huanqing LiuNorthwestern Polytechnical University, Xi'an, Shaanxi, China.
Chunsheng DongSchool of Computer Science, Shaanxi Normal University, Xi'an, Shaanxi, China.
Jun LyuNorthwestern Polytechnical University, Xi'an, Shaanxi, China.ORCID https://orcid.org/0000-0002-2237-8771
Northwestern Polytechnical University · CNShaanxi Normal University · CNXi'an Chest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the development of research, the importance of microRNAs (miRNAs) in the occurrence, metastasis, and prognosis of lung adenocarcinoma (LUAD) has attracted extensive attention. This study is aimed at predicting overall survival (OS) results through bioinformatics to identify novel miRNA biomarkers and hub genes. Materials and Methods: The data of LUAD-related miRNA and mRNA samples was downloaded from The Cancer Genome Atlas (TCGA) database. Upon screening and pretreatment of initial data, TCGA data were analyzed using R platform and a series of analytical tools to identify biomarkers with high specificity and sensitivity. Results: 7 miRNAs and 13 hub genes that had strong relation to the overall surviving status were identified in patients with LUAD. The expression of seven miRNAs (hsa-miR-19a-3p, hsa-miR-126-5p, hsa-miR-556-3p, hsa-miR-671-5p, hsa-miR-937-3p, hsa-miR-4664-3p, and hsa-miR-4746-5p) could apparently improve the OS rate of patient with LUAD. The 13 hub genes, namely, Conclusion: 7 miRNAs were identified as novel biomarkers for the prognosis of patients with LUAD. This study offered a deeper comprehension of LUAD treatment and prognosis from the molecular level and helped enhance the understanding of the pathogenesis and potential molecular events of LUAD.

Indexed as

Adenocarcinoma of LungLung NeoplasmsMicroRNAsBiomarkersBiomarkers, TumorCell Cycle ProteinsChaperonin Containing TCP-1HumansIntracellular Signaling Peptides and ProteinsLIM Domain ProteinsRNA, MessengerBiomarkersBiomarkers, TumorCCT6A protein, humanCell Cycle ProteinsCep55 protein, humanChaperonin Containing TCP-1Intracellular Signaling Peptides and ProteinsLIMD1 protein, humanLIM Domain ProteinsMicroRNAsMIRN556 microRNA, humanRNA, Messenger

Identifiers

PMID36147635
PMCPMC9485713
OpenAlexW4295880071

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.