The genomic landscape of UM-SCC oral cavity squamous cell carcinoma cell lines

ObjectivesWe sought to describe the genetic complexity of 14 UM-SCC oral cavity cancer cell lines that have remained uncharacterized despite being used as model systems for decades.Materials and methodsWe performed exome sequencing on 14 oral cavity UM-SCC cell lines and denote the mutational profile of each line. We used a SNP array to profile the multiple copy number variations of each cell line and use immunoblotting to compare alterations to protein expression of commonly amplified genes (EGFR, PIK3CA, etc.). RNA sequencing was performed to characterize the expression of genes with copy number alterations.ResultsThe cell lines displayed a highly complex network of genetic aberrations that was consistent with alterations identified in the HNSCC TCGA project including PIK3CA amplification, CDKN2A deletion, as well as TP53 and CASP8 mutations, enabling genetic stratification of each cell line in the panel. Copy number FISH and spectral karyotyping analysis demonstrate that cell lines retain chromosomal heterogeneity.ConclusionsCollectively, we developed an important resource for future oral cavity HNSCC cell line studies and highlight the complexity of genomic aberrations in cell lines

Correlation of Crtc1/3-Maml2 fusion status, grade and survival in mucoepidermoid carcinoma

ObjectiveMucoepidermoid carcinoma (MEC) is the most common malignant tumor of the salivary glands. Tumor stage and grade have historically been important predictors of survival. An oncogenic CRTC1- or CRTC3-MAML2 gene fusion has been identified in a number of MECs. Historically, these gene fusions have been associated with lower grade tumors and better survival. However, reported gene fusion rates and prognosis varies widely across studies, and have not controlled for tumor grade. We sought to identify gene fusion rates and outcomes in our cohort of MEC patients.Materials and methodsAn IRB-approved retrospective cohort of patients with MEC was identified at the University of Michigan. Clinical, histologic, and outcome data was collected from medical records. RNA was isolated from formalin fixed paraffin-embedded tumor sections, and qRT-PCR was performed to identify CRTC1/3-MAML2 gene fusions. Sanger sequencing of qRT-PCR products was used to confirm gene fusions.ResultsOverall, 90 patient MEC tumors were collected (58 low-grade, 25 intermediate-grade, and 7 high-grade). Gene fusions were identified in 59% (53/90) of tumors. On univariate and bivariate analysis, fusion status did not significantly associate with grade or survival.ConclusionWe have identified a high rate of CRTC1/3-MAML2 gene fusions in a large cohort of MEC. We do not identify any correlation between fusion status with tumor grade or survival. These findings suggest further characterization of MECs is needed before considering the CRTC1/3-MAML2 gene fusion as a prognostic biomarker. Additional genetic drivers may account for survival and grade in MECs

Identification of Targetable ERBB2 Aberrations in Head and Neck Squamous Cell Carcinoma

ImportanceERBB2 (formerly HER2) is an important drug target in breast cancer, where anti-ERBB2 therapy has been shown to lead to improvements in disease recurrence and overall survival. ERBB2 status in head and neck squamous cell carcinoma (HNSCC) has not been well studied. Identification of ERBB2-positive tumors and characterization of response to ERBB2 therapy could lead to targeted treatment options in HNSCC.ObjectiveTo identify ERBB2 aberrations in HNSCCs and investigate the potential for ERBB2-targeted therapy in HNSCCs.Design, setting, and participantsA retrospective case series of patients with laryngeal (42 tumor specimens) and oral cavity (94 tumor specimens) SCC enrolled in the University of Michigan Head and Neck Specialized Program of Research Excellence was conducted. Publicly available sequencing data (The Cancer Genome Atlas), as well as data from other studies, were reviewed to identify additional mutations and overexpression in ERBB2 in HNSCC. Established HNSCC cell lines were used for follow-up in vitro analysis. The study was conducted from October 1, 2014, to August 30, 2015.InterventionsWith the use of targeted, amplicon-based sequencing with the Oncomine Cancer Panel, the copy number and mutation status of commonly altered genes in HNSCCs were assessed. Immunohistochemical staining was performed on tissue microarrays of HNSCCs to assess the expression of ERBB2. Western blotting for HNSCC cell line ERBB2 expression and cell survival assays after treatment with ERBB2 inhibitors were performed.Main outcomes and measuresThe prevalence of ERBB2 genetic aberrations and ERBB2 overexpression in laryngeal and oral cavity SCCs, prevalence of ERBB2 aberrations in HNSCC in The Cancer Genome Atlas, ERBB2 protein expression in HNSCC cell lines, and response of HNSCC cell lines to targeted ERBB2 inhibitors.ResultsOf the 42 laryngeal SCC samples screened by targeted sequencing, 4 (10%) were positive for ERBB2 amplification. Two of these samples showed ERBB2 overexpression on immunohistochemistry. Two of the 94 oral cavity SCC samples (2%) were positive for ERBB2 on immunohistochemistry. Analysis of 288 patients from publicly available HNSCC sequencing data revealed 9 amplifications (3%) in ERBB2. Protein expression was variable across HNSCC cell lines, and a subset of these cell lines showed responsiveness to anti-ERBB2 therapy.Conclusions and relevanceERBB2 aberrations were identified in a subset of HNSCCs. These tumors may be responsive to targeted therapy against ERBB2. Screening for ERBB2 aberrations and applying targeted therapy in ERBB2-positive patients may be useful in personalized therapy trials, particularly in patients who are refractory to current treatment paradigms

Small molecule profiling to define synergistic EGFR inhibitor combinations in head and neck squamous cell carcinoma.

BackgroundHead and neck squamous cell carcinoma (HNSCC) is a debilitating disease with poor survival. Although epidermal growth factor receptor (EGFR)-targeting antibody cetuximab improves survival in some settings, responses are limited suggesting that alternative approaches are needed.MethodsWe performed a high throughput drug screen to identify EGFR inhibitor-based synergistic combinations of clinically advanced inhibitors in models resistant to EGFR inhibitor monotherapies, and then performed downstream validation experiments on prioritized synergistic combinations.ResultsFrom our screen, we re-discovered known synergistic EGFR inhibitor combinations with FGFR or IGF-1R inhibitors that were broadly effective and also discovered novel synergistic combinations with XIAP inhibitor and DNMT inhibitors that were effective in only a subset of models.ConclusionsConceptually, our data identify novel synergistic combinations that warrant evaluation in future studies, and suggest that some combinations, although highly synergistic, will require parallel companion diagnostic development to be effectively advanced in patients