Evidence map›Paper›PMID 25365304›Full record

ArticlePloS one2014

Quantifying mRNA and microRNA with qPCR in cervical carcinogenesis: a validation of reference genes to ensure accurate data.

Maria da Conceição Gomes Leitão, Eliane Campos Coimbra, Rita de Cássia Pereira de Lima, Mariléa de Lima Guimarães, Sandra de Andrade Heráclio, Jacinto da Costa Silva Neto, Antonio Carlos de Freitas

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  9. Reference Genes for qPCR-Based miRNA Expression Profiling in 14 Human Tissues.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
    Review
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  18. MicroRNA-155-3p promotes hepatocellular carcinoma formation by suppressing FBXW7 expression.Journal of experimental & clinical cancer research : CR · 2016
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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.

Maria da Conceição Gomes LeitãoLaboratory of Molecular Studies and Experimental Therapy (LEMTE), Department of Genetics, Center for Biological Sciences, Federal University of Pernambuco, Pernambuco, Brazil.
Eliane Campos CoimbraLaboratory of Molecular Studies and Experimental Therapy (LEMTE), Department of Genetics, Center for Biological Sciences, Federal University of Pernambuco, Pernambuco, Brazil.
Rita de Cássia Pereira de LimaLaboratory of Molecular Studies and Experimental Therapy (LEMTE), Department of Genetics, Center for Biological Sciences, Federal University of Pernambuco, Pernambuco, Brazil.
Mariléa de Lima GuimarãesClinical Hospital of Federal University of Pernambuco, Pernambuco, Brazil.
Sandra de Andrade HeráclioInstitute of Integral Medicine Prof. Fernando Figueira, Pernambuco, Brazil.
Jacinto da Costa Silva NetoMolecular and Cytological Research Laboratory, Department of Histology, Federal University of Pernambuco, Pernambuco, Brazil.
Antonio Carlos de FreitasLaboratory of Molecular Studies and Experimental Therapy (LEMTE), Department of Genetics, Center for Biological Sciences, Federal University of Pernambuco, Pernambuco, Brazil.
Universidade Federal de Pernambuco · BRInstituto de Medicina Integral Professor Fernando Figueira · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of recent studies have catalogued global gene expression patterns in a panel of normal, tumoral cervical tissues so that potential biomarkers can be identified. The qPCR has been one of the most widely used technologies for detecting these potential biomarkers. However, few studies have investigated a correct strategy for the normalization of data in qPCR assays for cervical tissues. The aim of this study was to validate reference genes in cervical tissues to ensure accurate quantification of mRNA and miRNA levels in cervical carcinogenesis. For this purpose, some issues for obtaining reliable qPCR data were evaluated such as the following: geNorm analysis with a set of samples which meet all of the cervical tissue conditions (Normal + CIN1 + CIN2 + CIN3 + Cancer); the use of individual Ct values versus pooled Ct values; and the use of a single (or multiple) reference genes to quantify mRNA and miRNA expression levels. Two different data sets were put on the geNorm to assess the expression stability of the candidate reference genes: the first dataset comprised the quantities of the individual Ct values; and the second dataset comprised the quantities of the pooled Ct values. Moreover, in this study, all the candidate reference genes were analyzed as a single "normalizer". The normalization strategies were assessed by measuring p16INK4a and miR-203 transcripts in qPCR assays. We found that the use of pooled Ct values, can lead to a misinterpretation of the results, which suggests that the maintenance of inter-individual variability is a key factor in ensuring the reliability of the qPCR data. In addition, it should be stressed that a proper validation of the suitability of the reference genes is required for each experimental setting, since the indiscriminate use of a reference gene can also lead to discrepant results.

Indexed as

Gene Expression ProfilingCell Transformation, NeoplasticCervix UteriFemaleGene Expression Regulation, NeoplasticHumansMicroRNAsReal-Time Polymerase Chain ReactionReproducibility of ResultsRNA, MessengerRNA StabilityUterine Cervical NeoplasmsMicroRNAsRNA, Messenger

Identifiers

PMID25365304
PMCPMC4217744
OpenAlexW2032411253

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.