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Purpose: Targeting mutations leading to PI3K/mTOR/Akt activation are of interest in thyroid cancer. We evaluated the efficacy of everolimus in aggressive, radioactive iodine–refractory (RAIR) thyroid cancer and correlated tumor mutational profiling with response. Exploratory medullary and anaplastic thyroid cancer cohorts were included. Experimental Design: This single-arm, multi-institutional phase II study was conducted from 2009 to 2013 in patients with incurable RAIR thyroid cancer who had radiographic progression six months prior to enrollment. The primary endpoint was progression-free survival (PFS) with a median follow-up of 31.8 months. The study is closed to enrollment but treatment and follow-up are ongoing. A targeted next-generation sequencing platform was used for mutational analysis. Results: Thirty-three patients with differentiated thyroid cancer (DTC), 10 with medullary thyroid cancer (MTC), and 7 with anaplastic thyroid cancer (ATC) enrolled. For the DTC cohort, median PFS was 12.9 months (95% CI, 7.3–18.5) with a 2-year PFS of 23.6% (95% CI, 10.5–39.5). Median OS was not reached; 2-year OS was 73.5% (95% CI, 53.8–85.8). Among ATC patients, 1 had a partial response and was progression-free until 17.9 months after study entry and one had disease stability for 26 months, respectively. The genomically profiled cohort enriched for PI3K/mTOR/Akt alterations. PI3K/mTOR/Akt–mutated ATC subgroups appeared to benefit from everolimus. Treatment-related adverse events were as anticipated. Conclusions: Everolimus has significant antitumor activity in thyroid cancer. While genomic profiling does not currently guide therapeutic selection in thyroid cancer patients, these data have important implications when considering the use of an mTOR inhibitor in an era of precision medicine. Clin Cancer Res; 24(7); 1546–53. ©2018 AACR.

Purpose: Taxane-induced peripheral neuropathy (TIPN) is an important survivorship issue for many cancer patients. Currently, there are no clinically implemented biomarkers to predict which patients might be at increased risk for TIPN. We present a comprehensive approach to identification of genetic variants to predict TIPN. Experimental Design: We performed a genome-wide association study (GWAS) in 3,431 patients from the phase III adjuvant breast cancer trial, ECOG-5103 to compare genotypes with TIPN. We performed candidate validation of top SNPs for TIPN in another phase III adjuvant breast cancer trial, ECOG-1199. Results: When evaluating for grade 3–4 TIPN, 120 SNPs had a P value of Conclusions: rs3125923 represents a validated SNP to predict grade 3-4 TIPN. Genetically determined AA race represents the most significant predictor of TIPN. Clin Cancer Res; 21(22); 5082–91. ©2015 AACR.