Evidence map›Paper›PMID 33057113›Full record

ArticleScientific reports2020

Selection of endogenous control genes for normalising gene expression data derived from formalin-fixed paraffin-embedded tumour tissue.

Tim A D Smith, Omneya A AbdelKarem, Joely J Irlam-Jones, Brian Lane, Helen Valentine, Becky A S Bibby, Helen Denley, Ananya Choudhury, Catharine M L West

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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

9 authors.

Tim A D SmithTranslational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK. tim.smith@manchester.ac.uk.
Omneya A AbdelKaremTranslational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK.
Joely J Irlam-JonesTranslational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK.
Brian LaneTranslational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK.
Helen ValentineTranslational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK.
Becky A S BibbyTranslational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK.
Helen DenleyPathology Centre, Shrewsbury and Telford NHS Trust, Royal Shrewsbury Hospital, Shrewsbury, SY3 8XQ, UK.
Ananya ChoudhuryTranslational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK.
Catharine M L WestTranslational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK.

Funding

Cancer Research UK 25616Department of Health NIHR129943Medical Research Council G0801525Medical Research Council MC_PC_18056
6 · The paper itself

Abstract

Quantitative real time polymerase chain reaction (qPCR) data are normalised using endogenous control genes. We aimed to: (1) demonstrate a pathway to identify endogenous control genes for qPCR analysis of formalin-fixed paraffin-embedded (FFPE) tissue using bladder cancer as an exemplar; and (2) examine the influence of probe length and sample age on PCR amplification and co-expression of candidate genes on apparent expression stability. RNA was extracted from prospective and retrospective samples and subject to qPCR using TaqMan human endogenous control arrays or single tube assays. Gene stability ranking was assessed using coefficient of variation (CoV), GeNorm and NormFinder. Co-expressed genes were identified from The Cancer Genome Atlas (TCGA) using the on-line gene regression analysis tool GRACE. Cycle threshold (Ct) values were lower for prospective (19.49 ± 2.53) vs retrospective (23.8 ± 3.32) tissues (p < 0.001) and shorter vs longer probes. Co-expressed genes ranked as the most stable genes in the TCGA cohort by GeNorm when analysed together but ranked lower when analysed individually omitting co-expressed genes indicating bias. Stability values were < 1.5 for the 20 candidate genes in the prospective cohort. As they consistently ranked in the top ten by CoV, GeNorm and Normfinder, UBC, RPLP0, HMBS, GUSB, and TBP are the most suitable endogenous control genes for bladder cancer qPCR.

Indexed as

Gene Expression Regulation, NeoplasticHumansNeoplasmsParaffin EmbeddingProspective StudiesReal-Time Polymerase Chain ReactionReference StandardsRegression AnalysisRetrospective StudiesRibosomal ProteinsRNATATA-Box Binding ProteinRibosomal ProteinsRNARPLP0 protein, humanTATA-Box Binding ProteinTBP protein, human

Identifiers

PMID33057113
PMCPMC7560892

What Socratic holds

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LicenceCC BY
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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 Socratic graph.