Evidence map›Paper›PMID 37898867›Full record

ReviewAsian Pacific journal of cancer prevention : APJCP2023

Small RNA Deep Sequencing of Circulating Small RNAs Discovers a Unique Panel of microRNAs as Feasible and Reliable Biomarkers of Non-Small Cell Lung Cancers in Northern Thailand.

Moe Thi Thi Han, Sakorn Pornprasert, Somcharoen Saeteng, Apichat Tantraworasin, Sophon Siwachat, Pradchaya Thuropathum, Busayamas Chewaskulyong, Ratchada Cressey

Open access · goldAbstract readReview
In one paragraph

Review in Asian Pacific journal of cancer prevention : APJCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

8 authors at 1 institution in 1 country.

Moe Thi Thi HanDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Thailand.
Sakorn PornprasertDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Thailand.
Somcharoen SaetengDepartment of Surgery, Faculty of Medicine, Chiang Mai University, Thailand.
Apichat TantraworasinDepartment of Surgery, Faculty of Medicine, Chiang Mai University, Thailand.
Sophon SiwachatDepartment of Surgery, Faculty of Medicine, Chiang Mai University, Thailand.
Pradchaya ThuropathumDepartment of Surgery, Faculty of Medicine, Chiang Mai University, Thailand.
Busayamas ChewaskulyongDepartment of Internal Medicine, Faculty of Medicine, Chiang Mai University, Thailand.
Ratchada CresseyDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Thailand.ORCID 0000-0003-4346-4422
Chiang Mai University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to assess the practicality and reliability of utilizing microRNAs (miRNAs) as a potential screening and diagnosing tool for non-small cell lung cancers (NSCLCs) in Northern Thailand.

methodsSmall RNA sequencing and a literature review was performed to obtain a list of serum miRNA candidates. Serum levels of these selected miRNA candidates were measured in patients with NSCLC and healthy volunteers by real-time RT-PCR and receiver operating characteristic curve (ROC) were used to assess diagnostic performance.

resultsSequencing data revealed 148 known miRNAs and 230 novel putative miRNAs in serum samples; 19 serum miRNAs were significantly downregulated and 242 were upregulated. Seven miRNAs selected according to sequencing data and 11 miRNAs according to previous reports were evaluated in training cohort (45 lung cancer patients, 26 controls) and 6 miRNAs were found differentially expressed (p < 0.05, Mann Whitney U test) and associated (p < 0.05, Chi-square test) with NSCLC development. Further analysis and verification identified an optimal combination of 4 miRNAs composed of hsa-miR23a, hsa-miR26b, hsa-miR4488 and novel-130 to provide the optimal AUC of 0.901±0.034. Detection of serum miRNA by real-time RT-PCR showed good reproducibility with the coefficient of variation (CV) ≤ 4%. The optimal screening miRNAs panel was primarily identified through sequencing data of local patient population, thus indicating that the etiology of NSCLCs may differ from one population to other and thus require a unique panel of miRNAs for their identification.

conclusionCirculating miRNA is a feasible screening tool for NSCLCs. Nevertheless, populations with different lung cancer etiology may need to identify their own most suitable miRNA panel.

Indexed as

Carcinoma, Non-Small-Cell LungCell-Free Nucleic AcidsLung NeoplasmsMicroRNAsBiomarkersBiomarkers, TumorGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansReproducibility of ResultsThailandBiomarkersBiomarkers, TumorCell-Free Nucleic AcidsMicroRNAscancer biomarkersMicroRNAnon-small cell lung cancerSerumsmall RNA sequencing

Identifiers

PMID37898867
PMCPMC10770667
OpenAlexW4388014673

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.