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125 Gene List for FFPE Tissue Analyses

Plasma-Based Progression Free Survival Analysis for Patients Treated with Immune Checkpoint Blockade.

Archival Tissue-Based Detection of Microsatellite Instability and High Tumor Mutation Burden.

Summary of Next Generation Sequencing Statistics for Healthy Donor Samples, Contrived Samples, and Clinical Plasma Samples

Comparison of Tumor Mutation Burden and Microsatellite Status for Patients Evaluated for Response to Immune Checkpoint Blockade

Purpose:Microsatellite instability (MSI) and high tumor mutation burden (TMB-High) are promising pan-tumor biomarkers used to select patients for treatment with immune checkpoint blockade; however, real-time sequencing of unresectable or metastatic solid tumors is often challenging. We report a noninvasive approach for detection of MSI and TMB-High in the circulation of patients.Experimental Design:We developed an approach that utilized a hybrid-capture–based 98-kb pan-cancer gene panel, including targeted microsatellite regions. A multifactorial error correction method and a novel peak-finding algorithm were established to identify rare MSI frameshift alleles in cell-free DNA (cfDNA).Results:Through analysis of cfDNA derived from a combination of healthy donors and patients with metastatic cancer, the error correction and peak-finding approaches produced a specificity of >99% (n = 163) and sensitivities of 78% (n = 23) and 67% (n = 15), respectively, for MSI and TMB-High. For patients treated with PD-1 blockade, we demonstrated that MSI and TMB-High in pretreatment plasma predicted progression-free survival (hazard ratios: 0.21 and 0.23, P = 0.001 and 0.003, respectively). In addition, we analyzed cfDNA from longitudinally collected plasma samples obtained during therapy to identify patients who achieved durable response to PD-1 blockade.Conclusions:These analyses demonstrate the feasibility of noninvasive pan-cancer screening and monitoring of patients who exhibit MSI or TMB-High and have a high likelihood of responding to immune checkpoint blockade.See related commentary by Wang and Ajani, p. 6887

Plasma-Based Detection of Microsatellite Instability and High Tumor Mutation Burden in Patients with Sufficient Circulating Tumor DNA.

Comparison of Microsatellite Status Determined through FFPE Tissue Analyses

Comparison of Microsatellite Status Determined through Healthy Donor, Contrived, and Clinical Plasma Analyses

Schematic of the Digital Peak Finding Bioinformatics Approach to Detect Microsatellite Instability in Circulating Tumor DNA from Plasma.

Summary of Next Generation Sequencing Statistics for FFPE Tumor and Matched Normal Samples

58 Gene List for Plasma Analyses

Summary of Clinical Information for 16 Patients Evaluated for Response to Immune Checkpoint Blockade

Purpose: Microsatellite instability (MSI) and high tumor mutation burden (TMB-High) are promising pan-tumor biomarkers used to select patients for treatment with immune checkpoint blockade; however, real-time sequencing of unresectable or metastatic solid tumors is often challenging. We report a noninvasive approach for detection of MSI and TMB-High in the circulation of patients. Experimental Design: We developed an approach that utilized a hybrid-capture–based 98-kb pan-cancer gene panel, including targeted microsatellite regions. A multifactorial error correction method and a novel peak-finding algorithm were established to identify rare MSI frameshift alleles in cell-free DNA (cfDNA). Results: Through analysis of cfDNA derived from a combination of healthy donors and patients with metastatic cancer, the error correction and peak-finding approaches produced a specificity of >99% (n = 163) and sensitivities of 78% (n = 23) and 67% (n = 15), respectively, for MSI and TMB-High. For patients treated with PD-1 blockade, we demonstrated that MSI and TMB-High in pretreatment plasma predicted progression-free survival (hazard ratios: 0.21 and 0.23, P = 0.001 and 0.003, respectively). In addition, we analyzed cfDNA from longitudinally collected plasma samples obtained during therapy to identify patients who achieved durable response to PD-1 blockade. Conclusions: These analyses demonstrate the feasibility of noninvasive pan-cancer screening and monitoring of patients who exhibit MSI or TMB-High and have a high likelihood of responding to immune checkpoint blockade. See related commentary by Wang and Ajani, p. 6887