Evidence map›Paper›PMID 37705067›Full record

ArticleBiomarker research2023

Identification of exosomal microRNA panel as diagnostic and prognostic biomarker for small cell lung cancer.

Dong Ha Kim, Hyojeong Park, Yun Jung Choi, Kyungtaek Im, Chae Won Lee, Da-Som Kim, Chan-Gi Pack, Hyun-Yi Kim, Chang-Min Choi, Jae Cheol Lee and 2 more

Abstract read
In one paragraph

Article in Biomarker research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

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  17. Observational
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  19. miRNA408 fromBiomolecules · 2025
    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

12 authors.

Dong Ha KimAsan Institute for Life Sciences, 05505, Seoul, South Korea.
Hyojeong ParkDepartment of Biomedical Sciences, AMIST, 05505, Seoul, South Korea.
Yun Jung ChoiAsan Institute for Life Sciences, 05505, Seoul, South Korea.
Kyungtaek ImAsan Institute for Life Sciences, 05505, Seoul, South Korea.
Chae Won LeeDepartment of Biomedical Sciences, AMIST, 05505, Seoul, South Korea.
Da-Som KimDepartment of Biomedical Sciences, AMIST, 05505, Seoul, South Korea.
Chan-Gi PackDepartment of Convergence Medicine, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea.
Hyun-Yi KimNGeneS Inc, Asan-Si, Gyeonggi-do, South Korea.
Chang-Min ChoiDepartment of Pulmonary Critical and Care Medicine, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea.
Jae Cheol LeeDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, 05505, Seoul, South Korea.
Wonjun JiDepartment of Pulmonary Critical and Care Medicine, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea. jack1097@naver.com.
Jin Kyung RhoDepartment of Convergence Medicine, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea. jkrho@amc.seoul.kr.

Funding

Asan Institute for Life Sciences 2022IP0047-1National Research Foundation of Korea (NRF) grant funded by the Korean government 2022R1A2C2006425National Research Foundation of Korea (NRF) grant funded by the Korean government 2022R1C1C2003427
6 · The paper itself

Abstract

backgroundSmall cell lung cancer (SCLC) has an exceptionally poor prognosis; as most of the cases are initially diagnosed as extensive disease with hematogenous metastasis. Therefore, the early diagnosis of SCLC is very important and may improve its prognosis.

methodsTo investigate the feasibility of early diagnosis of SCLC, we examined exosomal microRNAs (miRNAs) present in serum obtained from patients with SCLC. First, exosomes were isolated in serum from patients with SCLC and healthy individuals and were characterized using particle size and protein markers. Additionally, miRNA array was performed to define SCLC-specific exosomal miRNAs. Second, the obtained miRNAs were further validated employing a large cohort. Finally, the ability to diagnose SCLC was estimated by area under the curve (AUC), and intracellular mRNA change patterns were verified through validated miRNAs.

resultsFrom the miRNA array results, we selected 51-miRNAs based on p-values and top 10 differentially expressed genes, and 25-miRNAs were validated using quantitative reverse transcription-polymerase chain reaction. The 25-miRNAs were further validated employing a large cohort. Among them, 7-miRNAs showed significant differences. Furthermore, 6-miRNAs (miR-3565, miR-3124-5p, miR-200b-3p, miR-6515, miR-3126-3p and miR-9-5p) were up-regulated and 1-miRNA (miR-92b-5p) was down-regulated. The AUC value of each miRNA sets between 0.64 and 0.76, however the combined application of 3-miRNAs (miR-200b-3p, miR-3124-5p and miR-92b-5p) remarkably improved the diagnostic value (AUC = 0.93). Gene ontology analysis revealed that the 3-miRNA panel is linked to various oncogene pathways and nervous system development. When the 3-miRNAs were introduced to cells, the resulting changes in total mRNA expression strongly indicated the presence of lung diseases, including lung cancer. In addition, the 3-miRNA panel was significantly associated with a poorer prognosis, although individual miRNAs have not been validated as prognostic markers.

conclusionOur study identified SCLC-specific exosomal miRNAs, and the 3-miRNAs panel (miR-200b-3p, miR-3124-5p and miR-92b-5p) may serve as a diagnostic and prognostic marker for SCLC.

Indexed as

DiagnosisExosomal miRNAExosomePrognosisSCLC

Identifiers

PMID37705067
PMCPMC10500735

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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.