Evidence map›Paper›PMID 31547825›Full record

ArticleJournal of translational medicine2019

Direct S-Poly(T) Plus assay in quantification of microRNAs without RNA extraction and its implications in colorectal cancer biomarker studies.

Yanqin Niu, Sijian Xia, Mingyang Su, Quanjin Dang, Kang Kang, Li Li, Deming Gou

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Urinary miRNAs: Technical Updates.MicroRNA (Shariqah, United Arab Emirates) · 2024
    Review
  3. Review
  4. 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

7 authors at 2 institutions in 1 country.

Yanqin NiuShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Carson International Cancer Center, College of Life Sciences and Oceanography, Shenzhen University, Nanhai Ave 3688, Shenzhen, 518060, Guangdong, China.
Sijian XiaShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Carson International Cancer Center, College of Life Sciences and Oceanography, Shenzhen University, Nanhai Ave 3688, Shenzhen, 518060, Guangdong, China.
Mingyang SuShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Carson International Cancer Center, College of Life Sciences and Oceanography, Shenzhen University, Nanhai Ave 3688, Shenzhen, 518060, Guangdong, China.
Quanjin DangShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Carson International Cancer Center, College of Life Sciences and Oceanography, Shenzhen University, Nanhai Ave 3688, Shenzhen, 518060, Guangdong, China.
Kang KangDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shenzhen University Health Sciences Center, Shenzhen, 518060, Guangdong, China.
Li LiShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Carson International Cancer Center, College of Life Sciences and Oceanography, Shenzhen University, Nanhai Ave 3688, Shenzhen, 518060, Guangdong, China.
Deming GouShenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Carson International Cancer Center, College of Life Sciences and Oceanography, Shenzhen University, Nanhai Ave 3688, Shenzhen, 518060, Guangdong, China. dmgou@szu.edu.cn.ORCID 0000-0002-3312-841X
Shenzhen University · CNShenzhen University Health Science Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in microRNAs (miRNAs) biomarkers have generated disease markers with potential clinical values. However, none of these published results have been applied in clinic until today. The main reason could be the lack of simple but robust miRNA measurements.

methodsWe built up a simple but ultrasensitive RT-qPCR protocol, Direct S-Poly(T) Plus assay, for detecting miRNAs without RNA purification. In this study, the method was optimized and compared with other RNA purification-based miRNA assays, and the sensitivity was tested. Using Direct S-Poly(T) Plus method, seven potential miRNA biomarkers of colorectal cancer were validated.

resultsIt is possible to detect approximately 100 miRNAs with minimal plasma inputs (20 μl) and time (~ 140 min) with this approach. The sensitivity of this method was 2.7-343-fold higher than that of the stem-loop method, and comparable with S-Poly(T) plus method. 7 validated miRNA biomarkers of colorectal cancer by Direct S-Poly(T) plus assay could discriminate colorectal cancer stage I from healthy individuals, and promised satisfactory discrimination with the area under receiver operating characteristic (ROC) curve ranging from 0.79 to 0.94 (p value < 0.001).

conclusionsThis simple and robust protocol may have strong impact on the development of specific miRNAs as biomarkers in clinic.

Indexed as

Biological AssayBiomarkers, TumorColorectal NeoplasmsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicroRNAsPoly TROC CurveBiomarkers, TumorMicroRNAsPoly TBiomarkerCirculating miRNAColorectal cancerDirect S-Poly(T) Plus

Identifiers

PMID31547825
PMCPMC6757382
OpenAlexW2976799017

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.