Literature DB >> 24423493

Critical appraisal of quantitative PCR results in colorectal cancer research: can we rely on published qPCR results?

J R Dijkstra1, L C van Kempen2, I D Nagtegaal3, S A Bustin4.   

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.
Copyright © 2014 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Colorectal cancer; MIQE; Real time PCR; qPCR

Mesh:

Substances:

Year:  2014        PMID: 24423493      PMCID: PMC5528534          DOI: 10.1016/j.molonc.2013.12.016

Source DB:  PubMed          Journal:  Mol Oncol        ISSN: 1574-7891            Impact factor:   6.603


  32 in total

1.  Evaluation of normalization strategies used in real-time quantitative PCR experiments in HepaRG cell line studies.

Authors:  Liesbeth Ceelen; Jurgen De Craene; Ward De Spiegelaere
Journal:  Clin Chem       Date:  2013-09-11       Impact factor: 8.327

2.  The need for transparency and good practices in the qPCR literature.

Authors:  Stephen A Bustin; Vladimir Benes; Jeremy Garson; Jan Hellemans; Jim Huggett; Mikael Kubista; Reinhold Mueller; Tania Nolan; Michael W Pfaffl; Gregory Shipley; Carl T Wittwer; Peter Schjerling; Philip J Day; Mónica Abreu; Begoña Aguado; Jean-François Beaulieu; Anneleen Beckers; Sara Bogaert; John A Browne; Fernando Carrasco-Ramiro; Liesbeth Ceelen; Kate Ciborowski; Pieter Cornillie; Stephanie Coulon; Ann Cuypers; Sara De Brouwer; Leentje De Ceuninck; Jurgen De Craene; Hélène De Naeyer; Ward De Spiegelaere; Kato Deckers; Annelies Dheedene; Kaat Durinck; Margarida Ferreira-Teixeira; Annelies Fieuw; Jack M Gallup; Sandra Gonzalo-Flores; Karen Goossens; Femke Heindryckx; Elizabeth Herring; Hans Hoenicka; Laura Icardi; Rolf Jaggi; Farzad Javad; Michael Karampelias; Frederick Kibenge; Molly Kibenge; Candy Kumps; Irina Lambertz; Tim Lammens; Amelia Markey; Peter Messiaen; Evelien Mets; Sofia Morais; Alberto Mudarra-Rubio; Justine Nakiwala; Hilde Nelis; Pal A Olsvik; Claudina Pérez-Novo; Michelle Plusquin; Tony Remans; Ali Rihani; Paulo Rodrigues-Santos; Pieter Rondou; Rebecca Sanders; Katharina Schmidt-Bleek; Kerstin Skovgaard; Karen Smeets; Laura Tabera; Stefan Toegel; Tim Van Acker; Wim Van den Broeck; Joni Van der Meulen; Mireille Van Gele; Gert Van Peer; Mario Van Poucke; Nadine Van Roy; Sarah Vergult; Joris Wauman; Marina Tshuikina-Wiklander; Erik Willems; Sara Zaccara; Fjoralba Zeka; Jo Vandesompele
Journal:  Nat Methods       Date:  2013-11       Impact factor: 28.547

3.  Design and optimization of reverse-transcription quantitative PCR experiments.

Authors:  Ales Tichopad; Rob Kitchen; Irmgard Riedmaier; Christiane Becker; Anders Ståhlberg; Mikael Kubista
Journal:  Clin Chem       Date:  2009-07-30       Impact factor: 8.327

4.  Believe it or not: how much can we rely on published data on potential drug targets?

Authors:  Florian Prinz; Thomas Schlange; Khusru Asadullah
Journal:  Nat Rev Drug Discov       Date:  2011-08-31       Impact factor: 84.694

5.  Why the need for qPCR publication guidelines?--The case for MIQE.

Authors:  Stephen A Bustin
Journal:  Methods       Date:  2009-12-16       Impact factor: 3.608

6.  Selection of an internal control gene for quantitation of mRNA in colonic tissues.

Authors:  Naoki Tsuji; Chinatsu Kamagata; Momoko Furuya; Daisuke Kobayashi; Atsuhito Yagihashi; Takayuki Morita; Shoichi Horita; Naoki Watanabe
Journal:  Anticancer Res       Date:  2002 Nov-Dec       Impact factor: 2.480

7.  Detection of colorectal cancer cells from feces using quantitative real-time RT-PCR for colorectal cancer diagnosis.

Authors:  Yoshikatsu Koga; Masahiro Yasunaga; Yoshihiro Moriya; Takayuki Akasu; Shin Fujita; Seiichiro Yamamoto; Takahiro Kozu; Hideo Baba; Yasuhiro Matsumura
Journal:  Cancer Sci       Date:  2008-10       Impact factor: 6.716

8.  CXC receptor-4 mRNA silencing abrogates CXCL12-induced migration of colorectal cancer cells.

Authors:  Claudia Rubie; Vilma O Frick; Pirus Ghadjar; Mathias Wagner; Christoph Justinger; Sabrina K Faust; Benjamin Vicinus; Stefan Gräber; Otto Kollmar; Martin K Schilling
Journal:  J Transl Med       Date:  2011-02-24       Impact factor: 5.531

9.  Epigenetic silencing of EphA1 expression in colorectal cancer is correlated with poor survival.

Authors:  N I Herath; J Doecke; M D Spanevello; B A Leggett; A W Boyd
Journal:  Br J Cancer       Date:  2009-03-10       Impact factor: 7.640

10.  A novel and universal method for microRNA RT-qPCR data normalization.

Authors:  Pieter Mestdagh; Pieter Van Vlierberghe; An De Weer; Daniel Muth; Frank Westermann; Frank Speleman; Jo Vandesompele
Journal:  Genome Biol       Date:  2009-06-16       Impact factor: 13.583

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  24 in total

1.  Validation and identification of reference genes in Chinese hamster ovary cells for Fc-fusion protein production.

Authors:  Xiaonan Ma; Ling Zhang; Luming Zhang; Chenglong Wang; Xiaorui Guo; Yu Yang; Lin Wang; Xiangru Li; Ningning Ma
Journal:  Exp Biol Med (Maywood)       Date:  2020-03-26

2.  Selection of reference genes for quantitative PCR: identifying reference genes for airway epithelial cells exposed to Pseudomonas aeruginosa.

Authors:  Thomas H Hampton; Katja Koeppen; Laura Bashor; Bruce A Stanton
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2020-06-10       Impact factor: 5.464

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

Authors:  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
Journal:  PLoS One       Date:  2014-11-03       Impact factor: 3.240

4.  Identification of optimal reference genes for gene expression normalization in a wide cohort of endometrioid endometrial carcinoma tissues.

Authors:  Chiara Romani; Stefano Calza; Paola Todeschini; Renata A Tassi; Laura Zanotti; Elisabetta Bandiera; Enrico Sartori; Sergio Pecorelli; Antonella Ravaggi; Alessandro D Santin; Eliana Bignotti
Journal:  PLoS One       Date:  2014-12-04       Impact factor: 3.240

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

Authors:  Marta Matuszewska; Tomasz Maciąg; Magdalena Rajewska; Aldona Wierzbicka; Sylwia Jafra
Journal:  Sci Rep       Date:  2021-05-26       Impact factor: 4.379

6.  Identification of a suitable qPCR reference gene in metastatic clear cell renal cell carcinoma.

Authors:  Piotr M Wierzbicki; Jakub Klacz; Agnieszka Rybarczyk; Tomasz Slebioda; Marcin Stanislawowski; Agata Wronska; Anna Kowalczyk; Marcin Matuszewski; Zbigniew Kmiec
Journal:  Tumour Biol       Date:  2014-09-16

7.  qPCR, dPCR, NGS - A journey.

Authors:  Jim F Huggett; Justin O'Grady; Stephen Bustin
Journal:  Biomol Detect Quantif       Date:  2015-01-15

8.  Improving the reliability of peer-reviewed publications: We are all in it together.

Authors:  Stephen A Bustin; Tania Nolan
Journal:  Biomol Detect Quantif       Date:  2015-12-28

9.  The Orthology Clause in the Next Generation Sequencing Era: Novel Reference Genes Identified by RNA-seq in Humans Improve Normalization of Neonatal Equine Ovary RT-qPCR Data.

Authors:  Dragos Scarlet; Reinhard Ertl; Christine Aurich; Ralf Steinborn
Journal:  PLoS One       Date:  2015-11-04       Impact factor: 3.240

10.  Selection and validation of miRNAs as normalizers for profiling expression of microRNAs isolated from thyroid fine needle aspiration smears.

Authors:  Sergei E Titov; Pavel S Demenkov; Mikhail K Ivanov; Ekaterina S Malakhina; Tatiana L Poloz; Elena V Tsivlikova; Maria S Ganzha; Sergei P Shevchenko; Lyudmila F Gulyaeva; Nikolay N Kolesnikov
Journal:  Oncol Rep       Date:  2016-09-20       Impact factor: 3.906

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