Evidence map›Paper›PMID 34101749›Full record

ArticlePloS one2021

miR-361-5p as a promising qRT-PCR internal control for tumor and normal breast tissues.

Sogol Ghanbari, Adel Salimi, Saeid Rahmani, Nahid Nafissi, Ali Sharifi-Zarchi, Seyed Javad Mowla

Open access · goldAbstract read
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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

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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

9 citing papers in PubMed, 12 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

6 authors at 3 institutions in 1 country.

Sogol GhanbariMolecular Genetics Department, Biological Sciences Faculty, Tarbiat Modares University, Tehran, Iran.
Adel SalimiComputer Engineering Department, Sharif University of Technology, Tehran, Iran.ORCID 0000-0003-2882-5664
Saeid RahmaniComputer Engineering Department, Sharif University of Technology, Tehran, Iran.
Nahid NafissiSurgical Department, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Ali Sharifi-ZarchiComputer Engineering Department, Sharif University of Technology, Tehran, Iran.
Seyed Javad MowlaMolecular Genetics Department, Biological Sciences Faculty, Tarbiat Modares University, Tehran, Iran.ORCID 0000-0002-3300-6332
Sharif University of Technology · IRTarbiat Modares University · IRIran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the most widely used evaluation methods in miRNA experiments is qRT-PCR. However, selecting suitable internal controls (IC) is crucial for qRT-PCR experiments. Currently, there is no consensus on the ICs for miRNA qRT-PCR experiments in breast cancer. To this end, we tried to identify the most stable (the least expression alteration) and promising miRNAs in normal and tumor breast tissues by employing TCGA miRNA-Seq data and then experimentally validated them on fresh clinical samples.

methodsA multi-component scoring system was used which takes into account multiple expression stability criteria as well as correlation with clinical characteristics. Furthermore, we extended the scoring system for more than two biological sub-groups. TCGA BRCA samples were analyzed based on two grouping criteria: Tumor & Normal samples and Tumor subtypes. The top 10 most stable miRNAs were further investigated by differential expression and survival analysis. Then, we examined the expression level of the top scored miRNA (hsa-miR-361-5p) along with two commonly used ICs hsa-miR-16-5p and U48 on 34 pairs of Primary breast tumor and their adjacent normal tissues using qRT-PCR.

resultsAccording to our multi-component scoring system, hsa-miR-361-5p had the highest stability score in both grouping criteria and hsa-miR-16-5p showed significantly lower scores. Based on our qRT-PCR assay, while U48 was the most abundant IC, hsa-miR-361-5p had lower standard deviation and also was the only IC capable of detecting a significant up-regulation of hsa-miR-21-5p in breast tumor tissue.

conclusionsmiRNA-Seq data is a great source to discover stable ICs. Our results demonstrated that hsa-miR-361-5p is a highly stable miRNA in tumor and non-tumor breast tissue and we recommend it as a suitable reference gene for miRNA expression studies in breast cancer. Additionally, although hsa-miR-16-5p is a commonly used IC, it's not a suitable one for breast cancer studies.

Indexed as

BreastBreast NeoplasmsFemaleHumansMicroRNAsMiddle AgedReference StandardsReverse Transcriptase Polymerase Chain ReactionMicroRNAsMIRN361 microRNA, human

Identifiers

PMID34101749
PMCPMC8186776
OpenAlexW3171767730

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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.