Evidence map›Paper›PMID 41133157›Full record

ArticleFrontiers in medicine2025

A novel circulating miRNA panel for early differential diagnosis of pulmonary tuberculosis from lung cancer with similar radiographic presentations.

Xiao Liu, Wentao Wang, Yurong Fu, Zhengjun Yi

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiao Liu *School of Laboratory Medicine, Shandong Second Medical University, Weifang, China.
Wentao Wang *School of Laboratory Medicine, Shandong Second Medical University, Weifang, China.
Yurong FuSchool of Basic Medical Sciences, Shandong Second Medical University, Weifang, China.
Zhengjun YiSchool of Laboratory Medicine, Shandong Second Medical University, Weifang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to establish a novel diagnostic approach based on a circulating microRNA (miRNA) panel to reliably distinguish pulmonary tuberculosis (PTB) from lung cancer (LC), particularly in patients presenting with overlapping radiographic features. A total of 592 participants were enrolled. In the discovery phase, miRNA expression profiles from 284 individuals, including PTB patients, LC patients, and healthy controls (HC), were analyzed to screen potential biomarkers. Candidate miRNAs were subsequently validated in an independent cohort of 308 plasma samples. The analysis revealed significant upregulation of hsa-miR-342-3p, hsa-miR-199a-3p, and hsa-miR-199b-3p in PTB compared with LC. A diagnostic panel incorporating these three miRNAs demonstrated robust performance, achieving an area under the receiver operating characteristic curve (AUC) of 0.911 (95% confidence interval [CI]: 0.852-0.952) in the training set and 0.886 (95% CI: 0.780-0.953) in the validation set, with a sensitivity of 0.879. This miRNA panel outperformed the World Health Organization -endorsed Xpert MTB/RIF assay, effectively identifying early-stage PTB cases without cavity formation. These findings underscore the potential of miRNA-based diagnostics as a non-invasive and highly accurate tool for differentiating PTB from LC in patients with comparable imaging presentations, addressing a critical gap in pulmonary disease management.

Indexed as

biomarker paneldifferential diagnosislung cancermiRNApulmonary tuberculosis

Identifiers

PMID41133157
PMCPMC12540171

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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.