Consensus guidelines for the validation of qRT-PCR assays in clinical research by the CardioRNA consortium
David de Gonzalo‐Calvo, Monica Marchese, Jan Hellemans, Fay Betsou, Nanna Lond Skov Frisk, Louise T. Dalgaard, Päivi Lakkisto, Carole A. Foy, Andreas Scherer, Laura García‐Bermejo, Yvan Devaux
Abstract
Despite promising findings, quantitative PCR (qPCR)-based tests for RNA quantification have experienced serious limitations in their clinical application. The noticeable lack of technical standardization remains a huge obstacle in the translation of qPCR-based tests. The incorporation of qPCR-based tests into the clinic will benefit from guidelines for clinical research assay validation. This will ultimately impact the clinical management of the patient, including diagnosis, prognosis, prediction, monitoring of the therapeutic response, and evaluation of toxicity. However, clear assay validation protocols for biomarker investigation in clinical trials using molecular assays are currently lacking. Here, we will focus on the necessary steps, including sample acquisition, processing and storage, RNA purification, target selection, assay design, and experimental design, that need to be taken toward the appropriate validation of qRT-PCR assays in clinical research. These recommendations can fill the gap between research use only (RUO) and in vitro diagnostics (IVD). Our contribution provides a tool for basic and clinical research for the development of validated assays in the intermediate steps of biomarker research. These guidelines are based on the current understanding and consensus within the EU-CardioRNA COST Action consortium (www.cardiorna.eu). Their applicability encompasses all clinical areas. Despite promising findings, quantitative PCR (qPCR)-based tests for RNA quantification have experienced serious limitations in their clinical application. The noticeable lack of technical standardization remains a huge obstacle in the translation of qPCR-based tests. The incorporation of qPCR-based tests into the clinic will benefit from guidelines for clinical research assay validation. This will ultimately impact the clinical management of the patient, including diagnosis, prognosis, prediction, monitoring of the therapeutic response, and evaluation of toxicity. However, clear assay validation protocols for biomarker investigation in clinical trials using molecular assays are currently lacking. Here, we will focus on the necessary steps, including sample acquisition, processing and storage, RNA purification, target selection, assay design, and experimental design, that need to be taken toward the appropriate validation of qRT-PCR assays in clinical research. These recommendations can fill the gap between research use only (RUO) and in vitro diagnostics (IVD). Our contribution provides a tool for basic and clinical research for the development of validated assays in the intermediate steps of biomarker research. These guidelines are based on the current understanding and consensus within the EU-CardioRNA COST Action consortium (www.cardiorna.eu). Their applicability encompasses all clinical areas. IntroductionA literature search on biomarkers and cardiovascular diseases (CVDs) highlights the poor correlation between the efforts performed in the initial steps of the development of quantitative PCR (qPCR) assay-based biomarkers, i.e., discovery and preclinical stages and their incorporation into clinical practice. There are a number of barriers that contribute to this poor implementation. The lack of technical standardization constitutes a key limitation in the incorporation of qPCR-assay-based biomarkers into the clinic. Limitations are also linked to the absence of consensus reference values, poor harmonization of the study populations, and the barriers in collaboration between academia, physicians, and industry. For instance, despite the thousands of noncoding RNA (ncRNA)-based biomarker studies published to date, there is a paucity of potential indicators that have been successfully translated into clinical practice, mainly due to the lack of reproducibility of research findings. Kok et al.1Kok M.G.M. de Ronde M.W.J. Moerland P.D. Ruijter J.M. Creemers E.E. Pinto-Sietsma S.J. Small sample sizes in high-throughput miRNA screens: a common pitfall for the identification of miRNA biomarkers.Biomol. Detect. Quant. 2018; 15: 1-5Google Scholar nicely illustrate the situation for coronary artery disease (CAD)-associated circulating microRNA (miRNA) biomarkers based on a literature review yielding 13 miRNAs found to be up- or downregulated in more than one study, of which more than half (7 out of 13) showed a contradictory result between studies (e.g., for miR-21, two studies showed upregulation and one study showed downregulation). This lack of reproducibility has also been addressed in several publications,2Faraldi M. Gomarasca M. Sansoni V. Perego S. Banfi G. Lombardi G. Normalization strategies differently affect circulating miRNA profile associated with the training status.Sci. Rep. 2019; 9: 1584Google Scholar, 3Godoy P.M. Barczak A.J. DeHoff P. Srinivasan S. Etheridge A. Galas D. Das S. Erle D.J. Laurent L.C. Comparison of reproducibility, accuracy, sensitivity, and specificity of mirna quantification platforms.Cell Rep. 2019; 29: 4212-4222.e5Google Scholar, 4Leidner R.S. Li L. Thompson C.L. Dampening enthusiasm for circulating microRNA in breast cancer.PLoS One. 2013; 8: e57841Google Scholar with reported causes ranging from technical analytical aspects to variable patient inclusion criteria and underpowered studies to sample quality. As such, the field of in vitro diagnostics (IVD)-grade quantitative reverse transcription PCR (qRT-PCR) assays for clinical use, initially developed in research laboratories, is still in its infancy. The incorporation of novel molecular biomarkers for clinical decision-making and patient management, i.e., diagnosis, prognosis, prediction, and monitoring of the therapeutic response or toxicity, need clear assay validation guidelines to be followed in the context of clinical research.In this context, basic and clinical researchers often resort to the use of laboratory-developed assays with variable and undefined quality, commercial research use only (RUO) assays or, in the best-case scenarios, laboratory-developed assays validated in accordance with guidance such as minimum information for the publication of quantitative real-time PCR experiments (MIQE) guidelines.5Bustin S.A. Benes V. Garson J.A. Hellemans J. Huggett J. Kubista M. Mueller R. Nolan T. Pfaffl M.W. Shipley G.L. et al.The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments.Clin. Chem. 2009; 55: 611-622Google Scholar The difference between such assays and certified IVD assays is significant. Laboratory-developed assays for clinical research are typically less controlled and standardized and do not need to comply with regulations, such as the European In Vitro Diagnostic Regulation (IVDR 2017/746). The European regulatory framework, based on the aforementioned IVDR and the Clinical Trials Regulation 2014/536, leaves a gray area relative to the status of laboratory assays that are used in the context of clinical trials. Poorly validated assays are not appropriate for large-scale clinical biomarker studies. Therefore, researchers would benefit from guidelines on the validation of what we refer to as clinical research (CR) assays, an assay type filling the gap between RUO and IVD that addresses the specific needs of researchers in the development of biomarkers. To some degree, such CR assays are similar to laboratory-developed test (LDT) assays in that they have undergone more thorough validation without reaching the status of a certified IVD assay.GlossaryAnalytical precision (or precision): closeness of two or more measurements to each otherAnalytical sensitivity: the ability of a test to detect the analyteAnalytical specificity: the ability of a test to distinguish target from nontarget analytesAnalytical trueness / analytical accuracy: closeness of a measured value to the true valueClinical research: in this article, “clinical encompasses clinical studies and their of which the are to therapeutic or understanding of disease Clinical typically to laboratory in clinical of that the appropriate use of a or a that the of validation associated with a development tool is to its context of the ability of a test to the absence of the disease in with test the ability of a test to disease in with / of that are / of that are a CR researchers can more out RUO assays that are and to in the stages of biomarker research to test or clinical laboratory This is in Here, we will focus on the necessary steps that need to be taken toward the appropriate validation of qRT-PCR for CR and clinical the of this review is not to regulatory guidance for with The is to and technical in the specific context of qRT-PCR for which are not to or are to researchers of the for biomarker and clinical biomarker is a a of or the to an or therapeutic or the of a or to their use, biomarkers can be into several and with the of biomarkers, can be addressed such as a will will benefit from a will a be or and will be or and the of a patient would the validation of a biomarker an evaluation of the analytical and analytical and and the clinical sensitivity, and trueness (or analytical to the closeness of a measured value to the true analytical precision to the closeness of two or more measurements to each and the and reproducibility of the is the ability of a test to detect the the minimum or and analytical specificity is the ability of a test to distinguish the target from nontarget assays, the of a target than is the ability of a test to between the or absence of and is using of of accuracy: basic 2009; Scholar The of a test is in the true the identification of with the the specificity of a test is measured as the true the identification of without value is the ability of a test to disease in with value is the ability of a test to the absence of disease in with test are on the of of on the context of use and to the and be to the is that the (or of validation associated with a development tool is to its L. and Scholar validation is the of an assay including the of the of the the standardization of the experimental the accuracy, the and the V. 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J. relative quantification and for management and of real-time quantitative PCR 8: steps to quantification assay and or a the sample an result or a result the of the the the is between and or there are in the the for the guidelines which are in are not and are to researchers in their assays in CR and clinical trials. are not to validation to the consensus within the European consortium COST Action on a of validation These guidelines are on the analytical validation of aspects are not assays, or or These assays that are guidelines or are for reference guidelines in based on the from the CR the in using the consensus in the and and and in research in the has to in the and specific of the and of to the identification of biomarkers that are in clinical practice. Despite the promising findings, qPCR-based tests for RNA quantification have experienced serious limitations in their clinical application. The development and of novel is a and assay validation the and of recommendations for CR assays the and of assays from the research laboratory to clinical and the recommendations can fill the gap between RUO and are the of a of the EU-CardioRNA consortium with collaboration and the European for and the and with of the of is to the of biomarkers in their development to and to and of and are that of guidelines will result in more biomarkers development for diseases that in clinical practice. IntroductionA literature search on biomarkers and cardiovascular diseases (CVDs) highlights the poor correlation between the efforts performed in the initial steps of the development of quantitative PCR (qPCR) assay-based biomarkers, i.e., discovery and preclinical stages and their incorporation into clinical practice. There are a number of barriers that contribute to this poor implementation. The lack of technical standardization constitutes a key limitation in the incorporation of qPCR-assay-based biomarkers into the clinic. Limitations are also linked to the absence of consensus reference values, poor harmonization of the study populations, and the barriers in collaboration between academia, physicians, and industry. For instance, despite the thousands of noncoding RNA (ncRNA)-based biomarker studies published to date, there is a paucity of potential indicators that have been successfully translated into clinical practice, mainly due to the lack of reproducibility of research findings. Kok et al.1Kok M.G.M. de Ronde M.W.J. Moerland P.D. Ruijter J.M. Creemers E.E. Pinto-Sietsma S.J. Small sample sizes in high-throughput miRNA screens: a common pitfall for the identification of miRNA biomarkers.Biomol. Detect. Quant. 2018; 15: 1-5Google Scholar nicely illustrate the situation for coronary artery disease (CAD)-associated circulating microRNA (miRNA) biomarkers based on a literature review yielding 13 miRNAs found to be up- or downregulated in more than one study, of which more than half (7 out of 13) showed a contradictory result between studies (e.g., for miR-21, two studies showed upregulation and one study showed downregulation). This lack of reproducibility has also been addressed in several publications,2Faraldi M. Gomarasca M. Sansoni V. Perego S. Banfi G. Lombardi G. Normalization strategies differently affect circulating miRNA profile associated with the training status.Sci. Rep. 2019; 9: 1584Google Scholar, 3Godoy P.M. Barczak A.J. DeHoff P. Srinivasan S. Etheridge A. Galas D. Das S. Erle D.J. Laurent L.C. Comparison of reproducibility, accuracy, sensitivity, and specificity of mirna quantification platforms.Cell Rep. 2019; 29: 4212-4222.e5Google Scholar, 4Leidner R.S. Li L. Thompson C.L. Dampening enthusiasm for circulating microRNA in breast cancer.PLoS One. 2013; 8: e57841Google Scholar with reported causes ranging from technical analytical aspects to variable patient inclusion criteria and underpowered studies to sample quality. As such, the field of in vitro diagnostics (IVD)-grade quantitative reverse transcription PCR (qRT-PCR) assays for clinical use, initially developed in research laboratories, is still in its infancy. The incorporation of novel molecular biomarkers for clinical decision-making and patient management, i.e., diagnosis, prognosis, prediction, and monitoring of the therapeutic response or toxicity, need clear assay validation guidelines to be followed in the context of clinical research.In this context, basic and clinical researchers often resort to the use of laboratory-developed assays with variable and undefined quality, commercial research use only (RUO) assays or, in the best-case scenarios, laboratory-developed assays validated in accordance with guidance such as minimum information for the publication of quantitative real-time PCR experiments (MIQE) guidelines.5Bustin S.A. Benes V. Garson J.A. Hellemans J. Huggett J. Kubista M. Mueller R. Nolan T. Pfaffl M.W. Shipley G.L. et al.The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments.Clin. Chem. 2009; 55: 611-622Google Scholar The difference between such assays and certified IVD assays is significant. Laboratory-developed assays for clinical research are typically less controlled and standardized and do not need to comply with regulations, such as the European In Vitro Diagnostic Regulation (IVDR 2017/746). The European regulatory framework, based on the aforementioned IVDR and the Clinical Trials Regulation 2014/536, leaves a gray area relative to the status of laboratory assays that are used in the context of clinical trials. Poorly validated assays are not appropriate for large-scale clinical biomarker studies. Therefore, researchers would benefit from guidelines on the validation of what we refer to as clinical research (CR) assays, an assay type filling the gap between RUO and IVD that addresses the specific needs of researchers in the development of biomarkers. To some degree, such CR assays are similar to laboratory-developed test (LDT) assays in that they have undergone more thorough validation without reaching the status of a certified IVD assay.GlossaryAnalytical precision (or precision): closeness of two or more measurements to each otherAnalytical sensitivity: the ability of a test to detect the analyteAnalytical specificity: the ability of a test to distinguish target from nontarget analytesAnalytical trueness / analytical accuracy: closeness of a measured value to the true valueClinical research: in this article, “clinical encompasses clinical studies and their of which the are to therapeutic or understanding of disease Clinical typically to laboratory in clinical of that the appropriate use of a or a that the of validation associated with a development tool is to its context of the ability of a test to the absence of the disease in with test the ability of a test to disease in with / of that are / of that are a CR researchers can more out RUO assays that are and to in the stages of biomarker research to test or clinical laboratory This is in Here, we will focus on the necessary steps that need to be taken toward the appropriate validation of qRT-PCR for CR and clinical the of this review is not to regulatory guidance for with The is to and technical in the specific context of qRT-PCR for which are not to or are to researchers of the