A Multiplex Two-color Real-time PCR Method for Quality-controlled Molecular Diagnostic Testing of FFPE Samples
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Background: Reverse transcription quantitative real-time PCR (RT-qPCR) tests support personalized cancer treatment through more clinically meaningful diagnosis. However, samples obtained through standard clinical pathology procedures are formalin-fixed, paraffin-embedded (FFPE) and yield small samples with low integrity RNA containing PCR interfering substances. RT-qPCR tests able to assess FFPE samples with quality control and inter-laboratory reproducibility are needed.
Methods: We developed an RT-qPCR method by which 1) each gene was measured relative to a known number of its respective competitive internal standard molecules to control for interfering substances, 2) two-color fluorometric hydrolysis probes enabled analysis on a real-time platform, 3) external standards controlled for variation in probe fluorescence intensity, and 4) pre-amplification maximized signal from FFPE RNA samples. Reagents were developed for four genes comprised by a previously reported lung cancer diagnostic test (LCDT) then subjected to analytical validation using synthetic native templates as test articles to assess linearity, signal-to-analyte response, lower detection threshold, imprecision and accuracy. Fitness of this method and these reagents for clinical testing was assessed in FFPE normal (N = 10) and malignant (N = 10) lung samples.
Results: Reagents for each of four genes, MYC, E2F1, CDKN1A and ACTB comprised by the LCDT had acceptable linearity (R(2)>0.99), signal-to-analyte response (slope 1.0 ± 0.05), lower detection threshold (<10 molecules) and imprecision (CV <20%). Poisson analysis confirmed accuracy of internal standard concentrations. Internal standards controlled for experimentally introduced interference, prevented false-negatives and enabled pre-amplification to increase signal without altering measured values. In the fitness for purpose testing of this two-color fluorometric LCDT using surgical FFPE samples, the diagnostic accuracy was 93% which was similar to that previously reported for analysis of fresh samples.
Conclusions: This quality-controlled two-color fluorometric RT-qPCR approach will facilitate the development of reliable, robust RT-qPCR-based molecular diagnostic tests in FFPE clinical samples.
RNAseq analysis of bronchial epithelial cells to identify COPD-associated genes and SNPs.
Yeo J, Morales D, Chen T, Crawford E, Zhang X, Blomquist T BMC Pulm Med. 2018; 18(1):42.
PMID: 29506519 PMC: 5838965. DOI: 10.1186/s12890-018-0603-y.
Wang J, Yang X, Chen H, Wang X, Wang X, Fang Y Oncotarget. 2017; 8(28):46071-46080.
PMID: 28545022 PMC: 5542250. DOI: 10.18632/oncotarget.17551.
Straightforward and sensitive RT-qPCR based gene expression analysis of FFPE samples.
Zeka F, Vanderheyden K, Smet E, Cuvelier C, Mestdagh P, Vandesompele J Sci Rep. 2016; 6:21418.
PMID: 26898768 PMC: 4761903. DOI: 10.1038/srep21418.
Peng Z, Andersson K, Lindholm J, Dethlefsen O, Pramana S, Pawitan Y PLoS One. 2016; 11(1):e0145545.
PMID: 26731648 PMC: 4701463. DOI: 10.1371/journal.pone.0145545.
Blomquist T, Crawford E, Yeo J, Zhang X, Willey J Biomol Detect Quantif. 2015; 5:30-37.
PMID: 26693143 PMC: 4673681. DOI: 10.1016/j.bdq.2015.08.003.