Analytical Validation of HEARTBiT: A Blood-Based Multiplex Gene Expression Profiling Assay for Exclusionary Diagnosis of Acute Cellular Rejection in Heart Transplant Patients. (24th July 2020)

• Record Type: Journal Article
• Authors: Kim, Ji-Young V; Lee, Brandon; Koitsopoulos, Pavlos; Shannon, Casey P; Chen, Virginia; Hollander, Zsuzsanna; Assadian, Sara; Lam, Karen; Ritchie, Gordon; McManus, Janet; McMaster, W Robert; Ng, Raymond T; McManus, Bruce M; Tebbutt, Scott J
• Is Part Of: Clinical chemistry. Volume 66:Number 8(2020)
• Page Start: 1063
• Page End: 1071
• Publication Date: 2020-07-24
• Subjects: Molecular diagnostic assay -- heart transplantation -- acute cellular rejection -- analytical validation -- biomarker -- multi-analyte assay; Clinical chemistry -- Periodicals; Pharmaceutical chemistry -- Periodicals; Biochemistry -- Periodicals; Biochimie -- Périodiques; Diagnostics biologiques -- Périodiques; Biochemistry; Clinical chemistry; Pharmaceutical chemistry; Biochemistry; Laboratory Techniques and Procedures; Klinische chemie; Periodicals; 616.075605
• DOI: 10.1093/clinchem/hvaa123
• Languages: English
• ISSNs: 0009-9147

Abstract

Abstract: Background: HEARTBiT is a whole blood-based gene profiling assay using the nucleic acid counting NanoString technology for the exclusionary diagnosis of acute cellular rejection in heart transplant patients. The HEARTBiT score measures the risk of acute cellular rejection in the first year following heart transplant, distinguishing patients with stable grafts from those at risk for acute cellular rejection. Here, we provide the analytical performance characteristics of the HEARTBiT assay and the results on pilot clinical validation. Methods: We used purified RNA collected from PAXgene blood samples to evaluate the characteristics of a 12-gene panel HEARTBiT assay, for its linearity range, quantitative bias, precision, and reproducibility. These parameters were estimated either from serial dilutions of individual samples or from repeated runs on pooled samples. Results: We found that all 12 genes showed linear behavior within the recommended assay input range of 125 ng to 500 ng of purified RNA, with most genes showing 3% or lower quantitative bias and around 5% coefficient of variation. Total variation resulting from unique operators, reagent lots, and runs was less than 0.02 units standard deviation (SD). The performance of the analytically validated assay (AUC = 0.75) was equivalent to what we observed in the signature development dataset. Conclusion: The analytical performance of the assay within the specification input range demonstrated reliable quantification of the HEARTBiT score within 0.02 SD units, measured on a 0 to 1 unit scale. This assay may therefore be of high utility in clinical validation of HEARTBiT in future biomarker observational trials.