» Articles » PMID: 24423493

Critical Appraisal of Quantitative PCR Results in Colorectal Cancer Research: Can We Rely on Published QPCR Results?

Overview
Journal Mol Oncol
Date 2014 Jan 16
PMID 24423493
Citations 29
Authors
Affiliations
Soon will be listed here.
Abstract

The use of real-time quantitative polymerase chain reaction (qPCR) in cancer research has become ubiquitous. The relative simplicity of qPCR experiments, which deliver fast and cost-effective results, means that each year an increasing number of papers utilizing this technique are being published. But how reliable are the published results? Since the validity of gene expression data is greatly dependent on appropriate normalisation to compensate for sample-to-sample and run-to-run variation, we have evaluated the adequacy of normalisation procedures in qPCR-based experiments. Consequently, we assessed all colorectal cancer publications that made use of qPCR from 2006 until August 2013 for the number of reference genes used and whether they had been validated. Using even these minimal evaluation criteria, the validity of only three percent (6/179) of the publications can be adequately assessed. We describe common errors, and conclude that the current state of reporting on qPCR in colorectal cancer research is disquieting. Extrapolated to the study of cancer in general, it is clear that the majority of studies using qPCR cannot be reliably assessed and that at best, the results of these studies may or may not be valid and at worst, pervasive incorrect normalisation is resulting in the wholesale publication of incorrect conclusions. This survey demonstrates that the existence of guidelines, such as MIQE, is necessary but not sufficient to address this problem and suggests that the scientific community should examine its responsibility and be aware of the implications of these findings for current and future research.

Citing Articles

Exogenous spike-in mouse RNAs for accurate differential gene expression analysis in barley using RT-qPCR.

Vinje M, Friedman D Biol Methods Protoc. 2023; 8(1):bpad034.

PMID: 38116324 PMC: 10728042. DOI: 10.1093/biomethods/bpad034.


A Strategy for the Selection of RT-qPCR Reference Genes Based on Publicly Available Transcriptomic Datasets.

Nevone A, Lattarulo F, Russo M, Panno G, Milani P, Basset M Biomedicines. 2023; 11(4).

PMID: 37189697 PMC: 10135859. DOI: 10.3390/biomedicines11041079.


Innovative GenExpA software for selecting suitable reference genes for reliable normalization of gene expression in melanoma.

Hoja-Lukowicz D, Maciazek D, Koscielniak P, Janik M Sci Rep. 2022; 12(1):3331.

PMID: 35228606 PMC: 8885735. DOI: 10.1038/s41598-022-07257-6.


Stroma-derived extracellular vesicle mRNA signatures inform histological nature of prostate cancer.

Shephard A, Giles P, Mbengue M, Alraies A, Spary L, Kynaston H J Extracell Vesicles. 2021; 10(12):e12150.

PMID: 34596356 PMC: 8485336. DOI: 10.1002/jev2.12150.


The carbon source-dependent pattern of antimicrobial activity and gene expression in Pseudomonas donghuensis P482.

Matuszewska M, Maciag T, Rajewska M, Wierzbicka A, Jafra S Sci Rep. 2021; 11(1):10994.

PMID: 34040089 PMC: 8154892. DOI: 10.1038/s41598-021-90488-w.


References
1.
Bustin S, Benes V, Garson J, Hellemans J, Huggett J, Kubista M . The need for transparency and good practices in the qPCR literature. Nat Methods. 2013; 10(11):1063-7. DOI: 10.1038/nmeth.2697. View

2.
Mestdagh P, Van Vlierberghe P, De Weer A, Muth D, Westermann F, Speleman F . A novel and universal method for microRNA RT-qPCR data normalization. Genome Biol. 2009; 10(6):R64. PMC: 2718498. DOI: 10.1186/gb-2009-10-6-r64. View

3.
Herath N, Doecke J, Spanevello M, Leggett B, Boyd A . Epigenetic silencing of EphA1 expression in colorectal cancer is correlated with poor survival. Br J Cancer. 2009; 100(7):1095-102. PMC: 2670002. DOI: 10.1038/sj.bjc.6604970. View

4.
Ceelen L, De Craene J, De Spiegelaere W . Evaluation of normalization strategies used in real-time quantitative PCR experiments in HepaRG cell line studies. Clin Chem. 2013; 60(3):451-4. DOI: 10.1373/clinchem.2013.209478. View

5.
Tsuji N, Kamagata C, Furuya M, Kobayashi D, Yagihashi A, Morita T . Selection of an internal control gene for quantitation of mRNA in colonic tissues. Anticancer Res. 2003; 22(6C):4173-8. View