Advanced urothelial carcinoma: next-generation sequencing reveals diverse genomic alterations and targets of therapy.

Although urothelial carcinoma (UC) of the urinary bladder generally portends a favorable prognosis, metastatic tumors often follow an aggressive clinical course. DNA was extracted from 40 µm of formalin-fixed, paraffin-embedded (FFPE) sections from 35 stage IV UCs that had relapsed and progressed after primary surgery and conventional chemotherapy. Next-generation sequencing (NGS) was performed on hybridization-captured, adaptor ligation-based libraries for 3320 exons of 182 cancer-related genes plus 37 introns from 14 genes frequently rearranged in cancer to at an average sequencing depth of 1164 × and evaluated for all classes of genomic alterations (GAs). Actionable GAs were defined as those impacting the selection of targeted anticancer therapies on the market or in registered clinical trials. A total of 139 GAs were identified, with an average of 4.0 GAs per tumor (range 0-10), of which 78 (56%) were considered actionable, with an average of 2.2 per tumor (range 0-7). Twenty-nine (83%) cases harbored at least one actionable GA including: PIK3CA (9 cases; 26%); CDKN2A/B (8 cases; 23%); CCND1 (5 cases; 14%); FGFR1 (5 cases; 14%); CCND3 (4 cases; 11%); FGFR3 (4 cases; 11%); MCL1 (4 cases; 11%); MDM2 (4 cases; 11%); EGFR (2 cases, 6%); ERBB2 (HER2/neu) (2 cases, 6%); NF1 (2 cases, 6%) and TSC1 (2 cases, 6%). Notable additional alterations included TP53 (19 cases, 54%) and RB1 (6 cases; 17%). Genes involved in chromatin modification were altered by nonsense mutation, splice site mutation or frameshift indel in a mutually exclusive manner in nearly half of all cases including KDM6A (10 cases; 29%) and ARID1A (7 cases; 20%). Comprehensive NGS of 35 UCs of the bladder revealed a diverse spectrum of actionable GAs in 83% of cases, which has the potential to inform treatment decisions for patients with relapsed and metastatic disease.

Comprehensive genomic profiling of relapsed and metastatic adenoid cystic carcinomas by next-generation sequencing reveals potential new routes to targeted therapies.

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.

Development and validation of a clinical cancer genomic profiling test based on massively parallel DNA sequencing.

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.