Evidence map›Paper›PMID 39548655›Full record

ArticleThe clinical respiratory journal2024

Highly Sensitive and Specific Panels of Plasma Exosomal microRNAs for Identification of Malignant Pulmonary Nodules.

Rui Tao, Dandan Wang, Wenjing Pei, Yanfei Liu, Pengcheng Liu, Renming Li, Jiegou Xu, Jing Ye, Dahai Zhao

Abstract read
In one paragraph

Article in The clinical respiratory journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Updates in Lung Cancer Screening: A Decade of Evidence.Seminars in respiratory and critical care medicine · 2025
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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

9 authors.

Rui TaoDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui Province, China.ORCID https://orcid.org/0009-0007-8561-8182
Dandan WangDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui Province, China.
Wenjing PeiDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui Province, China.
Yanfei LiuDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui Province, China.
Pengcheng LiuDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui Province, China.
Renming LiDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui Province, China.
Jiegou XuDepartment of Immunology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui Province, China.
Jing YeDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui Province, China.
Dahai ZhaoDepartment of Respiratory and Critical Care Medicine, the Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui Province, China.ORCID https://orcid.org/0000-0003-1500-5608

Funding

Collaborative Chinese and Western Medicine Research Project for Major Difficult Diseases 2021zdynjb06Hefei Municipal Natural Science Foundation 2021037Natural Science Foundation of Anhui Province 2208085MH194Natural Science Research Project of Anhui Universities KJ2021ZD0028Research Fund of Anhui Institute of Translational Medicine 2021zhyx-c67
6 · The paper itself

Abstract

objectivesWith wide application of computed tomography (CT) in early lung cancer screening, solitary pulmonary nodules (SPNs) are frequently detected. Due to their high etiological diversity and potential for malignancy, rapid and accurate identification and malignant SPNs are crucial in the clinical management. In the present study, plasma exosomal microRNAs were identified and evaluated as sensitive and specific indicators for malignant SPNs. MATERIALS AND

methodsExosomal miRNAs isolated from the plasmas of pathologically confirmed patients with SPN (four malignant and four benign, designated as the screening set) were subjected for high throughput sequencing and eight candidate miRNAs were selected. The pre-operation plasma levels of the candidate miRNAs in 77 patients with SPN (48 malignant and 29 benign, designated as the identification set) were detected by quantitative PCR, five miRNAs were identified as potential biomarkers for malignant SPNs, and the diagnostic values of the five miRNAs each alone or combined were then analyzed by AUROC analysis. The prediction values of the identified miRNAs were further evaluated in 95 patients with SPN (double blind, 74 malignant and 21 benign, designated as the validation set).

resultsHigh-throughput sequencing identified 45 miRNAs with statistical differences between benign and malignant SPNs. Among the eight candidate miRNAs in the identification set, miR-1-3p alone had the best diagnostic value, with the sensitivities and specificities of 89.6% and 100% for malignant SPNs. Unexpectedly, when miR-1-3p was combined with miR-99a-5p, both the sensitivity and specificity reached 100% for malignant SPNs. miR-1-3p+miR-125b-5p and miR-1-3p+miR-218-5p were also good indicators of malignant SPNs with sensitivities of 95.8% and 97.9%, specificities of 100% and 96.6%. Further analysis of these microRNA combinations in the validation set indicated that the PPV were 91.4%, 97.4%, and 93.5% and the NPV were 100%, 100%, and 88.9% for miR-1-3p+miR-99a-5p, miR-1-3p+miR-218-5p, and miR-1-3p+miR-125b-5p, with the sensitivities were 100%, 100%, and 97.3% and the specificities were 66.7%, 90.5%, and 76.2% for miR-1-3p+miR-99a-5p, miR-1-3p+miR-218-5p, and miR-1-3p+miR-125b-5p, respectively.

conclusionsThrough high throughput sequencing, qPCR determination of plasma microRNAs and AUROC analysis, miR-1-3p combined with miR-99a-5p, miR-125b-5p, or miR-218-5p have been found to be sensitive and specific indicators of malignant SPNs in both the identification and validation sets. Our results indicate that the panels of plasma miRNAs can be used as diagnostic biomarkers for malignant SPNs.

Indexed as

Biomarkers, TumorExosomesHigh-Throughput Nucleotide SequencingLung NeoplasmsMicroRNAsSensitivity and SpecificityAdultAgedEarly Detection of CancerFemaleHumansMaleMiddle AgedSolitary Pulmonary NoduleTomography, X-Ray ComputedBiomarkers, TumorMicroRNAsdiagnostic biomarkersearly diagnosisexosomal microRNAsplasmasolitary pulmonary nodules

Identifiers

PMID39548655
PMCPMC11567941

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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.