Comprehensive Genomic Profiling of Relapsed and Metastatic Adenoid Cystic Carcinomas by Next-generation Sequencing Reveals Potential New Routes to Targeted Therapies

CDKN2A PDGFRA公司 腺样囊性癌 克拉斯 拷贝数分析 癌症研究 靶向治疗 舒尼替尼 医学 大规模并行测序 STK11段 ARID1A型 肿瘤科 生物信息学 生物 癌症 内科学 DNA测序 拷贝数变化 基因 遗传学 突变 基因组 结直肠癌 间质细胞 主旨
作者
Jeffrey S. Ross,Kai Wang,Janna V. Rand,Christine E. Sheehan,Timothy A. Jennings,Rami N. Al‐Rohil,Geoff Otto,John C. Curran,Gary A. Palmer,Sean R. Downing,Roman Yelensky,Doron Lipson,Sohail Balasubramanian,Lázaro Ibrahim Romero García,Kristen Mahoney,Siraj M. Ali,Vincent A. Miller,Philip J. Stephens
出处
期刊:The American Journal of Surgical Pathology [Lippincott Williams & Wilkins]
卷期号:38 (2): 235-238 被引量:62
标识
DOI:10.1097/pas.0000000000000102
摘要

We hypothesized that next-generation sequencing could reveal actionable genomic alterations (GAs) and potentially expand treatment options for patients with advanced adenoid cystic carcinoma (ACC). Genomic profiling using next-generation sequencing was performed on hybridization-captured, adapter ligation libraries derived from 28 relapsed and metastatic formalin-fixed paraffin-embedded ACC. The 3230 exons of 182 cancer-related genes and 37 introns of 14 genes frequently rearranged in cancer were fully sequenced using the Illumina HiSeq 2000. All classes of GAs were evaluated. Actionable GAs were defined as those impacting targeted anticancer therapies on the market or in registered clinical trials. A total of 44 GAs were identified in the 28 ACC tumors, with 12 of 28 (42.9%) of tumors harboring at least 1 potentially actionable GA. The most common nonactionable GAs were identified in KD6MA (5 cases; 18%), ARID1A (4 cases; 14%), RUNX1 (2 cases; 7%), and MYC (2 cases; 7%). Actionable GAs included NOTCH1 (3 cases; 11%), MDM2 (2 cases; 7%), PDGFRA (2 cases; 7%), and CDKN2A/B (p16) (2 cases; 7%). Other potentially actionable GAs identified in a single case included: mutations in AKT1, BAP1, EGFR, and PIK3CA, homozygous deletion of FBXW7, and amplifications of CDK4, FGFR1, IGF1R, KDR, KIT, and MCL1. The frequency of GA in ACC is lower than that seen in the more common solid tumors. Comprehensive genomic profiling of ACC can identify actionable GAs in a subset of patients that could influence therapy for these difficult-to-treat progressive neoplasms.
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