Evidence map›Paper›PMID 27759076›Full record

ArticleScientific reports2016

Identification of reference genes for circulating microRNA analysis in colorectal cancer.

Yanqin Niu, Yike Wu, Jinyong Huang, Qing Li, Kang Kang, Junle Qu, Furong Li, Deming Gou

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Yanqin NiuShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences, Shenzhen University, Shenzhen, Guangdong, 518060, China.
Yike WuShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences, Shenzhen University, Shenzhen, Guangdong, 518060, China.
Jinyong HuangShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences, Shenzhen University, Shenzhen, Guangdong, 518060, China.
Qing LiShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences, Shenzhen University, Shenzhen, Guangdong, 518060, China.
Kang KangDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, 518060,China.
Junle QuKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering Shenzhen University, Shenzhen, Guangdong, 518060, China.
Furong LiClinic Medical Research Center, Shenzhen People's Hospital, the Second Affiliated Hospital, Ji'nan University, Shenzhen, Guangdong, 518060, China.
Deming GouShenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences, Shenzhen University, Shenzhen, Guangdong, 518060, China.
Shenzhen University · CNJinan University · CNShenzhen University Health Science Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative real-time PCR (qPCR) is the most frequently used method for measuring expression levels of microRNAs (miRNAs), which is based on normalization to endogenous references. Although circulating miRNAs have been regarded as potential non-invasive biomarker of disease, no study has been performed so far on reference miRNAs for normalization in colorectal cancer. In this study we tried to identify optimal reference miRNAs for qPCR analysis across colorectal cancer patients and healthy individuals. 485 blood-derived miRNAs were profiled in serum sample pools of both colorectal cancer and healthy control. Seven candidate miRNAs chosen from profiling results as well as three previous reported reference miRNAs were validated using qPCR in 30 colorectal cancer patients and 30 healthy individuals, and thereafter analyzed by statistical algorithms BestKeeper, geNorm and NormFinder. Taken together, hsa-miR-93-5p, hsa-miR-25-3p and hsa-miR-106b-5p were recommended as a set of suitable reference genes. More interestingly, the three miRNAs validated from 485 miRNAs are derived from a single primary transcript, indicting the cluster may be highly conserved in colorectal cancer. However, all three miRNAs differed significantly between healthy individuals and non-small cell lung cancer or breast cancer patients and could not be used as reference genes in the two types of cancer.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCarcinoma, Non-Small-Cell LungCirculating MicroRNAColonic NeoplasmsColorectal NeoplasmsFemaleGene Expression ProfilingHumansLung NeoplasmsMaleMiddle AgedBiomarkers, TumorCirculating MicroRNA

Identifiers

PMID27759076
PMCPMC5069661
OpenAlexW2538990466

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.