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Evaluation of microsatellite instability (MSI) status in 11,573 diverse solid tumors using comprehensive genomic profiling (CGP)

Authors :
Phil Stephens
Jeffrey S. Ross
Roman Yelensky
Siraj M. Ali
Emily White
Michael J. Hall
Christine Malboeuf
Vincent A. Miller
Mary B. Daly
John M. Kaczmar
Julia A. Elvin
Kyle Gowen
Eric M. Sanford
James Sun
Source :
Journal of Clinical Oncology. 34:1523-1523
Publication Year :
2016
Publisher :
American Society of Clinical Oncology (ASCO), 2016.

Abstract

1523Background: MSI status is predictive of anti-PD-1/L1 therapy efficacy independent of tumor histology. This study describes the development and validation of a novel computational method to assess MSI status. In addition, we sought to determine the MSI prevalence and mutation characteristics in the cohort by applying the method to 11,573 clinical solid tumor cases previously assayed with CGP. Methods: To determine MSI status, 114 intronic homopolymer repeat loci with adequate coverage on the CGP panel were analyzed for length variability and compiled into an overall MSI score via principal components analysis. Translation of the MSI score to MSI-H (microsatellite high) or MSS (microsatellite stable) was established using training data. A matched-normal sample is not required, and CGP is accurate when tumor content is at least 20%. Results: Our methodology was validated in 69 samples with MSI status (20 MSI-H, 49 MSS) previously determined by standard clinical testing (PCR or immunohistochemistry). Conc...

Details

ISSN :
15277755 and 0732183X
Volume :
34
Database :
OpenAIRE
Journal :
Journal of Clinical Oncology
Accession number :
edsair.doi...........06876919ef7cb79adb66da74ccd18eb2
Full Text :
https://doi.org/10.1200/jco.2016.34.15_suppl.1523