As more clinically relevant cancer genes are identified, comprehensive diagnostic approaches are needed to match patients to therapies, raising the challenge of optimization and analytical validation of assays that interrogate millions of bases of cancer genomes altered by multiple mechanisms. Here we describe a test based on massively parallel DNA sequencing to characterize base substitutions, short insertions and deletions (indels), copy number alterations and selected fusions across 287 cancer-related genes from routine formalin-fixed and paraffin-embedded (FFPE) clinical specimens. We implemented a practical validation strategy with reference samples of pooled cell lines that model key determinants of accuracy, including mutant allele frequency, indel length and amplitude of copy change. Test sensitivity achieved was 95–99% across alteration types, with high specificity (positive predictive value >99%). We confirmed accuracy using 249 FFPE cancer specimens characterized by established assays. Application of the test to 2,221 clinical cases revealed clinically actionable alterations in 76% of tumors, three times the number of actionable alterations detected by current diagnostic tests.

Applying a next-generation sequencing assay targeting 145 cancer-relevant genes in 40 colorectal cancer and 24 non–small cell lung cancer formalin-fixed paraffin-embedded tissue specimens identified at least one clinically relevant genomic alteration in 59% of the samples and revealed two gene fusions, C2orf44-ALK in a colorectal cancer sample and KIF5B-RET in a lung adenocarcinoma. Further screening of 561 lung adenocarcinomas identified 11 additional tumors with KIF5B-RET gene fusions (2.0%; 95% CI 0.8–3.1%). Cells expressing oncogenic KIF5B-RET are sensitive to multi-kinase inhibitors that inhibit RET.

Key Points Novel clinically available comprehensive genomic profiling of both DNA and RNA in hematologic malignancies. Profiling of 3696 clinical hematologic tumors identified somatic alterations that impact diagnosis, prognosis, and therapeutic selection.

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.

There is a willingness to embrace CRC screening and to shoulder some of the financial burden that this entails.