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Supporting Biomarker-Driven Therapies in Oncology: A Genomic Testing Cost Calculator

Overview
Journal Oncologist
Specialty Oncology
Date 2023 Mar 24
PMID 36961477
Authors
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Abstract

Background: Adoption of high-throughput, gene panel-based, next-generation sequencing (NGS) into routine cancer care is widely supported, but hampered by concerns about cost. To inform policies regarding genomic testing strategies, we propose a simple metric, cost per correctly identified patient (CCIP), that compares sequential single-gene testing (SGT) vs. multiplex NGS in different tumor types.

Materials And Methods: A genomic testing cost calculator was developed based on clinically actionable genomic alterations identified in the European Society for Medical Oncology Scale for Clinical Actionability of molecular Targets. Using sensitivity/specificity data for SGTs (immunohistochemistry, polymerase chain reaction, and fluorescence in situ hybridization) and NGS and marker prevalence, the number needed to predict metric was monetarized to estimate CCIP.

Results: At base case, CCIP was lower with NGS than sequential SGT for advanced/metastatic non-squamous non-small cell lung cancer (NSCLC), breast, colorectal, gastric cancers, and cholangiocarcinoma. CCIP with NGS was also favorable for squamous NSCLC, pancreatic, and hepatic cancers, but with overlapping confidence intervals. CCIP favored SGT for prostate cancer. Alternate scenarios using different price estimates for each test showed similar trends, but with incremental changes in the magnitude of difference between NGS and SGT, depending on price estimates for each test.

Conclusions: The cost to correctly identify clinically actionable genomic alterations was lower for NGS than sequential SGT in most cancer types evaluated. Decreasing price estimates for NGS and the rapid expansion of targeted therapies and accompanying biomarkers are anticipated to further support NGS as a preferred diagnostic standard for precision oncology.

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References
1.
Linn S, Grunau P . New patient-oriented summary measure of net total gain in certainty for dichotomous diagnostic tests. Epidemiol Perspect Innov. 2006; 3:11. PMC: 1635036. DOI: 10.1186/1742-5573-3-11. View

2.
Riaz N, Havel J, Makarov V, Desrichard A, Urba W, Sims J . Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab. Cell. 2017; 171(4):934-949.e16. PMC: 5685550. DOI: 10.1016/j.cell.2017.09.028. View

3.
Hillman R, Ward K, Saenz C, McHale M, Plaxe S . Barriers prevent patient access to personalized therapies identified by molecular tumor profiling of gynecologic malignancies. J Pers Med. 2015; 5(2):165-73. PMC: 4493494. DOI: 10.3390/jpm5020165. View

4.
Milbury C, Creeden J, Yip W, Smith D, Pattani V, Maxwell K . Clinical and analytical validation of FoundationOne®CDx, a comprehensive genomic profiling assay for solid tumors. PLoS One. 2022; 17(3):e0264138. PMC: 8926248. DOI: 10.1371/journal.pone.0264138. View

5.
Xie J, Lu X, Wu X, Lin X, Zhang C, Huang X . Capture-based next-generation sequencing reveals multiple actionable mutations in cancer patients failed in traditional testing. Mol Genet Genomic Med. 2016; 4(3):262-72. PMC: 4867560. DOI: 10.1002/mgg3.201. View