Evidence map›Paper›PMID 39747924›Full record

ArticleScientific reports2025

Development and preliminary validation of five miRNAs for lung adenocarcinoma prognostic model associated with immune infiltration.

Huanzhang Yang, Jingli Hua, Yanxia Han, Dong Chang, Wenlong Zheng

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2025. 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

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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. Review
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

5 authors.

Huanzhang YangDepartment of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Jingli HuaDepartment of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Yanxia HanDepartment of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Dong ChangDepartment of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Wenlong ZhengDepartment of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China. zwl58013002@126.com.

Funding

Research Grant for Health Science and Technology of PudongMunicipal Commission of Health committee of Shanghai PW2022A-34
6 · The paper itself

Abstract

Our aim was to investigate the potential value of immune-related miRNA signaling in predicting clinical prognosis and immunotherapy. We first identified immune-related miRNAs in lung adenocarcinoma (LUAD), and then constructed a miRNA-based risk model by lasso regression modeling. Finally, we validated our findings using RT-qPCR in serum from LUAD patients and normal patients. Weighted gene co-expression network analysis (WGCNA) was used to screen the aberrantly expressed genes associated with immune scores, and then correlation analysis and prognostic analysis were used to identify and immune-associated miRNAs, and lasso-cox regression was used to construct an immune-associated 5-miRNA model. Risk score as an independent prognostic factor could accurately predict the prognosis of LUAD patients. Immunotherapy analysis revealed that patients with low-risk scores benefited more from anti-PD-1 and CTLA-4 therapy. Experimental validation showed that only miRNA-200b-3p was significantly differentially expressed in 91 cases of clinically collected cancer tissues and normal tissue serum. We constructed a 5-miRNA model that can be used for risk stratification of LUAD patients. Targeted therapy against miRNA-200b-3p is expected to be a prospective new strategy for the clinical treatment of LUAD.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorGene Expression Regulation, NeoplasticLung NeoplasmsMicroRNAsAgedFemaleGene Expression ProfilingGene Regulatory NetworksHumansImmunotherapyMaleMiddle AgedPrognosisBiomarkers, TumorMicroRNAsBiomarkerImmune infiltrationLung adenocarcinomamiRNA-200b-3pPrognosis

Identifiers

PMID39747924
PMCPMC11695782

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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.