Evidence map›Paper›PMID 36229645›Full record

ArticleScientific reports2022

Evaluation of circulating small extracellular vesicle-derived miRNAs as diagnostic biomarkers for differentiating between different pathological types of early lung cancer.

Yi-Fang Jiang, Shan-Na Wei, Nan Geng, Wen-Wen Qin, Xin He, Xiu-Huan Wang, Yao-Pu Qi, Shan Song, Ping Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
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  8. Liquid Biopsy: The Challenges of a Revolutionary Approach in Oncology.International journal of molecular sciences · 2025
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  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Emerging Roles of Using Small Extracellular Vesicles as an Anti-Cancer Drug.International journal of molecular sciences · 2023
    Review
  16. Review
  17. Article
  18. Article
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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 at 2 institutions in 1 country.

Yi-Fang Jiang *Department of Respiratory Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, People's Republic of China.
Shan-Na Wei *Department of Respiratory Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, People's Republic of China.
Nan GengDepartment of Respiratory Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, People's Republic of China.
Wen-Wen QinDepartment of Respiratory Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, People's Republic of China.
Xin HeDepartment of Respiratory Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, People's Republic of China.
Xiu-Huan WangDepartment of Respiratory Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, People's Republic of China.
Yao-Pu QiDepartment of Respiratory Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, People's Republic of China.
Shan SongDepartment of Respiratory Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, People's Republic of China.
Ping WangDepartment of Respiratory Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, People's Republic of China. pingwang1393@163.com.
Fourth Hospital of Hebei Medical University · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related death worldwide. MicroRNAs (miRNAs) in circulating small extracellular vesicles (sEVs) have been suggested to be potential biomarkers for cancer diagnosis. The present study was designed to explore whether plasma-derived sEV miRNAs could be utilized as diagnostic biomarkers for differentiating between early-stage small cell lung cancer (SCLC) and early-stage non-small cell lung cancer (NSCLC). We compared the miRNA profiles of plasma-derived sEVs from healthy individuals, patients with early-stage SCLC and patients with early-stage NSCLC. Next-generation sequencing was used to screen for differentially expressed miRNAs (DEMs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were used to predict the potential functions of these DEMs. Weighted gene coexpression network analysis (WGCNA) was used to identify the different pathology-related miRNA modules. We found that 22 DEMs were significantly different among healthy individuals, patients with early-stage SCLC, and patients with early-stage NSCLC. We selected six representative DEMs for validation by qRT‒PCR, which confirmed that miRNA-483-3p derived from plasma sEVs could be used as a potential biomarker for the diagnosis of early-stage SCLC, miRNA-152-3p and miRNA-1277-5p could be used for the diagnosis of early-stage NSCLC respectively.

Indexed as

Carcinoma, Non-Small-Cell LungCirculating MicroRNAExtracellular VesiclesLung NeoplasmsMicroRNAsSmall Cell Lung CarcinomaBiomarkers, TumorGene Expression ProfilingHumansBiomarkers, TumorCirculating MicroRNAMicroRNAsMIRN152 microRNA, humanMIRN483 microRNA, human

Identifiers

PMID36229645
PMCPMC9561663
OpenAlexW4305014649

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Registered trials

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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.