Evidence map›Paper›PMID 39682592›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Circulating MicroRNAs as Biomarkers for the Early Diagnosis of Lung Cancer and Its Differentiation from Tuberculosis.

Yeldar Ashirbekov, Nazgul Khamitova, Kantemir Satken, Arman Abaildayev, Ilya Pinskiy, Askar Yeleussizov, Laura Yegenova, Anargul Kairanbayeva, Danara Kadirshe, Gulzhakhan Utegenova and 2 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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
–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

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.

  1. Review
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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

12 authors.

Yeldar AshirbekovAitkhozhin Institute of Molecular Biology and Biochemistry, Almaty 050012, Kazakhstan.ORCID 0000-0002-2265-9717
Nazgul KhamitovaAitkhozhin Institute of Molecular Biology and Biochemistry, Almaty 050012, Kazakhstan.
Kantemir SatkenAitkhozhin Institute of Molecular Biology and Biochemistry, Almaty 050012, Kazakhstan.ORCID 0000-0002-4468-8914
Arman AbaildayevAitkhozhin Institute of Molecular Biology and Biochemistry, Almaty 050012, Kazakhstan.ORCID 0000-0002-1813-1338
Ilya PinskiyAl-Farabi Kazakh National University, Almaty 050040, Kazakhstan.
Askar YeleussizovKazakh Institute of Oncology and Radiology, Almaty 050012, Kazakhstan.ORCID 0000-0002-2646-2292
Laura YegenovaNational Scientific Center of Phthisiopulmonology, Almaty 050010, Kazakhstan.ORCID 0000-0003-4293-6846
Anargul KairanbayevaNational Scientific Center of Phthisiopulmonology, Almaty 050010, Kazakhstan.
Danara KadirsheAitkhozhin Institute of Molecular Biology and Biochemistry, Almaty 050012, Kazakhstan.ORCID 0009-0004-8061-4391
Gulzhakhan UtegenovaAitkhozhin Institute of Molecular Biology and Biochemistry, Almaty 050012, Kazakhstan.ORCID 0000-0001-5088-5554
Nurlan JainakbayevKazakh-Russian Medical University, Almaty 050004, Kazakhstan.
Kamalidin SharipovAitkhozhin Institute of Molecular Biology and Biochemistry, Almaty 050012, Kazakhstan.ORCID 0000-0001-5946-5521

Funding

Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan AP13068414
6 · The paper itself

Abstract

backgroundThe differential diagnosis of tuberculosis (TB) and lung cancer (LC) is often challenging due to similar clinicopathological presentations when bacterial shedding is negative, which can lead to delays in treatment. In this study, we tested the potential of plasma-circulating microRNAs (miRNAs) for the early and differential diagnosis of TB and LC.

methodsWe conducted a two-phase study: profiling 188 miRNAs in pooled plasma samples and validating 14 selected miRNAs in individual plasma samples from 68 LC patients, 38 pulmonary TB patients, and 41 healthy controls.

resultsTwelve miRNAs were significantly elevated in LC patients compared to controls and TB patients, while two miRNAs were significantly elevated in TB patients compared to controls. ROC analysis demonstrated that miR-130b-3p, miR-1-3p, miR-423-5p, and miR-200a-3p had good discriminatory ability to distinguish LC patients (including those with stage I tumours) from healthy individuals and miR-130b-3p, miR-423-5p, miR-15b-5p, and miR-18b-5p effectively distinguished LC patients (including those with stage I tumours) from TB patients. Additionally, miR-18b-5p showed good discriminatory ability between SCLC and NSCLC patients.

conclusionsCirculating miRNAs hold strong potential for the early detection of LC and for distinguishing LC from TB.

Indexed as

differential diagnosislung cancermicroRNAtuberculosis

Identifiers

PMID39682592
PMCPMC11640063

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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.