Validation of Microsatellite Instability Detection Using a Comprehensive Plasma-Based Genotyping Panel

Jason Willis(The University of Texas MD Anderson Cancer Center), Martina I. Lefterova(Guardant (United States)), Alexander Artyomenko(Guardant (United States)), Pashtoon Murtaza Kasi(University of Iowa), Yoshiaki Nakamura(National Cancer Center Hospital East), Kabir Mody(Jacksonville College), Daniel V.T. Catenacci(University of Illinois Chicago), Marwan Fakih(City Of Hope National Medical Center), Cátálin Bárbácioru(Guardant (United States)), Jing Zhao(Guardant (United States)), Marcin Sikora(Guardant (United States)), Stephen R. Fairclough(Guardant (United States)), Hyuk Lee(Samsung Medical Center), Kyoung‐Mee Kim(Samsung Medical Center), Seung Tae Kim(Samsung Medical Center), Jinchul Kim(Samsung Medical Center), Danielle Gavino(Olin Corporation (United States)), Manuel Benavides(Hospital Clínico Universitario Virgen de la Victoria), Nir Peled(Rabin Medical Center), Timmy Nguyen(Cleveland Clinic Florida), Mike Cusnir(Mount Sinai Medical Center), Ramez N. Eskander(Center for Personalized Cancer Treatment), Georges Azzi(Holy Cross Hospital), Takayuki Yoshino(National Cancer Center Hospital East), Kimberly C. Banks(Guardant (United States)), Victoria M. Raymond(Guardant (United States)), Richard B. Lanman(Guardant (United States)), Darya Chudova(Guardant (United States)), AmirAli Talasaz(Guardant (United States)), Scott Kopetz(The University of Texas MD Anderson Cancer Center), Jeeyun Lee(Samsung Medical Center), Justin I. Odegaard(Guardant (United States))
Clinical Cancer Research
December 1, 2019
Cited by 237

Abstract

Abstract Purpose: To analytically and clinically validate microsatellite instability (MSI) detection using cell-free DNA (cfDNA) sequencing. Experimental Design: Pan-cancer MSI detection using Guardant360 was analytically validated according to established guidelines and clinically validated using 1,145 cfDNA samples for which tissue MSI status based on standard-of-care tissue testing was available. The landscape of cfDNA-based MSI across solid tumor types was investigated in a cohort of 28,459 clinical plasma samples. Clinical outcomes for 16 patients with cfDNA MSI-H gastric cancer treated with immunotherapy were evaluated. Results: cfDNA MSI evaluation was shown to have high specificity, precision, and sensitivity, with a limit of detection of 0.1% tumor content. In evaluable patients, cfDNA testing accurately detected 87% (71/82) of tissue MSI-H and 99.5% of tissue microsatellite stable (863/867) for an overall accuracy of 98.4% (934/949) and a positive predictive value of 95% (71/75). Concordance of cfDNA MSI with tissue PCR and next-generation sequencing was significantly higher than IHC. Prevalence of cfDNA MSI for major cancer types was consistent with those reported for tissue. Finally, robust clinical activity of immunotherapy treatment was seen in patients with advanced gastric cancer positive for MSI by cfDNA, with 63% (10/16) of patients achieving complete or partial remission with sustained clinical benefit. Conclusions: cfDNA-based MSI detection using Guardant360 is highly concordant with tissue-based testing, enabling highly accurate detection of MSI status concurrent with comprehensive genomic profiling and expanding access to immunotherapy for patients with advanced cancer for whom current testing practices are inadequate. See related commentary by Wang and Ajani, p. 6887


Related Papers

No related papers found

Powered by citation graph analysis