Purpose: In locally advanced p16+ oropharyngeal squamous cell carcinoma (OPSCC), (i) to investigate kinetics of human papillomavirus (HPV) circulating tumor DNA (ctDNA) and association with tumor progression after chemoradiation, and (ii) to compare the predictive value of ctDNA to imaging biomarkers of MRI and FDG-PET. Experimental Design: Serial blood samples were collected from patients with AJCC8 stage III OPSCC (n = 34) enrolled on a randomized trial: pretreatment; during chemoradiation at weeks 2, 4, and 7; and posttreatment. All patients also had dynamic-contrast-enhanced and diffusion-weighted MRI, as well as FDG-PET scans pre-chemoradiation and week 2 during chemoradiation. ctDNA values were analyzed for prediction of freedom from progression (FFP), and correlations with aggressive tumor subvolumes with low blood volume (TVLBV) and low apparent diffusion coefficient (TVLADC), and metabolic tumor volume (MTV) using Cox proportional hazards model and Spearman rank correlation. Results: Low pretreatment ctDNA and an early increase in ctDNA at week 2 compared with baseline were significantly associated with superior FFP (P < 0.02 and P < 0.05, respectively). At week 4 or 7, neither ctDNA counts nor clearance were significantly predictive of progression (P = 0.8). Pretreatment ctDNA values were significantly correlated with nodal TVLBV, TVLADC, and MTV pre-chemoradiation (P < 0.03), while the ctDNA values at week 2 were correlated with these imaging metrics in primary tumor. Multivariate analysis showed that ctDNA and the imaging metrics performed comparably to predict FFP. Conclusions: Early ctDNA kinetics during definitive chemoradiation may predict therapy response in stage III OPSCC.

Despite the rising incidence of human papillomavirus related (HPV+) oropharyngeal squamous cell carcinoma (OPSCC), treatment of metastatic disease remains palliative. Even with new treatments such as immunotherapy, response rates are low and can be delayed, while even mild tumor progression in the face of an ineffective therapy can lead to rapid death. Real-time biomarkers of response to therapy could improve outcomes by guiding early change of therapy in the metastatic setting. Herein, we developed and analytically validated a new droplet digital PCR (ddPCR)-based assay for HPV16 circulating tumor DNA (ctDNA) and evaluated plasma HPV16 ctDNA for predicting treatment response in metastatic HPV+ OPSCC. We found that longitudinal changes HPV16 ctDNA correlate with treatment response and that ctDNA responses are observed earlier than conventional imaging (average 70 days, range: 35-166). With additional validation in multi-site studies, this assay may enable early identification of treatment failure, allowing patients to be directed promptly toward clinical trials or alternative therapies.

Background Sinonasal Undifferentiated Carcinoma (SNUC) is a rare and aggressive skull base tumor with poor survival and limited treatment options. To date, targeted sequencing studies have identified IDH2 and SMARCB1 as potential driver alterations, but the molecular alterations found in SMARCB1 wild type tumors are unknown. Methods We evaluated survival outcomes in a cohort of 46 SNUC patients treated at an NCI designated cancer center and identify clinical and disease variables associated with survival on Kaplan-Meier and Cox multivariate survival analysis. We performed exome sequencing to characterize a series of SNUC tumors (n = 5) and cell line (MDA8788–6) to identify high confidence mutations, copy number alterations, microsatellite instability, and fusions. Knockdown studies using siRNA were utilized for validation of a novel PGAP3-SRPK1 gene fusion. Results Overall survival analysis revealed no significant difference in outcomes between patients treated with surgery +/− CRT and CRT alone. Tobacco use was the only significant predictor of survival. We also confirmed previously published findings on IDH and SMARC family mutations and identified novel recurrent aberrations in the JAK/STAT and PI3K pathways. We also validated a novel PGAP3-SRPK1 gene fusion in the SNUC cell line, and show that knockdown of the fusion is negatively associated with EGFR, E2F and MYC signaling. Conclusion Collectively, these data demonstrate recurrent alterations in the SWI/SNF family as well as IDH, JAK/STAT, and PI3K pathways and discover a novel fusion gene (PGAP3-SRPK1). These data aim to improve understanding of possible driver mutations and guide future therapeutic strategies for this disease.

The study team has filed an invention disclosure on the HPV16 ctDNA assay and the University of Michigan intends to file a patent on the assay technology. Ethics Approval and consent to participate: A prospective cohort was consented to a University of Michigan Institutional Review Board approved clinical trial (NCT02784288).

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Hypothesis: Squamous cell carcinomas (SCC) of the external auditory canal (EAC) may harbor unique genomic alterations that may explain aggressive behavior and differentiate these tumors from cutaneous SCCs of other subsites.Background: EAC SCCs arise in a non-ultraviolet-exposed region of the head and neck, are often locally aggressive and may metastasize to lymph nodes or distant sites. The genomic alterations underlying cutaneous SCC of other sites are welldocumented; however, mutational profiles of EAC SCC are less well characterized and may contribute to the unique anatomic site, high rates of recurrence and tumor spread. We performed targeted sequencing of a cohort of primary EAC SCCs to identify recurring and potentially targetable genomic alterations.Methods: Genomic DNA was extracted from formalin-fixed paraffin-embedded specimens of 7 EAC SCCs and subjected to targeted DNA sequencing using a 227-gene panel. Somatic alterations and gene copy number alterations were annotated using our validated, in-house bioinformatics pipelines.Results: In our EAC SCCs, we found recurrent alterations in TP53 and genes of receptor tyrosine kinase (eg, EGFR, FGFR) and PI3K pathways (eg, PIK3CA), similar to cutaneous SCCs of other head and neck sites. We also observed a high frequency of telomerase reverse transcriptase amplification and DNA methyltransferase 1 alterations, both of which are rarely observed in cutaneous SCCs of other sites. Conclusion:These data represent the first step toward precise molecular characterization of EAC SCCs that may lead to an enhanced understanding of tumor biology and modernized precision medicine approaches for unique tumors.

Background Human papillomavirus (HPV) is a well‐established driver of malignant transformation at a number of sites, including head and neck, cervical, vulvar, anorectal, and penile squamous cell carcinomas; however, the impact of HPV integration into the host human genome on this process remains largely unresolved. This is due to the technical challenge of identifying HPV integration sites, which includes limitations of existing informatics approaches to discovering viral‐host breakpoints from low‐read‐coverage sequencing data. Methods To overcome this limitation, the authors developed SearcHPV, a new HPV detection pipeline based on targeted capture technology, and applied the algorithm to targeted capture data. They performed an integrated analysis of SearcHPV‐defined breakpoints with genome‐wide linked‐read sequencing to identify potential HPV‐related structural variations. Results Through an analysis of HPV+ models, the authors showed that SearcHPV detected HPV‐host integration sites with a higher sensitivity and specificity than 2 other commonly used HPV detection callers. SearcHPV uncovered HPV integration sites adjacent to known cancer‐related genes, including TP63, MYC, and TRAF2, and near regions of large structural variation. The authors further validated the junction contig assembly feature of SearcHPV, which helped to accurately identify viral‐host junction breakpoint sequences. They found that viral integration occurred through a variety of DNA repair mechanisms, including nonhomologous end joining, alternative end joining, and microhomology‐mediated repair. Conclusions In summary, SearcHPV is a new optimized tool for the accurate detection of HPV‐human integration sites from targeted capture DNA sequencing data.

Background: Sinonasal Undifferentiated Carcinoma (SNUC) is a rare and aggressive skull base tumor with poor survival and limited treatment options. To date, targeted sequencing studies have identified IDH2 and SMARCB1 as potential driver alterations, but the molecular alterations found in SMARCB1 wild type tumors are unknown.Methods: We evaluate survival outcomes in a cohort of 46 SNUC patients treated at an NCI designated cancer center and identify clinical and disease variables associated with survival on Kaplan-Meier and Cox multivariate survival analysis. We perform exome sequencing to characterize a series of SMARCB1 wild type tumors and cell line including identification of high confidence mutations, copy number alterations, microsatellite instability, and fusions. Knockdown studies using siRNA was utilized for validation of a novel PGAP3-SRPK1 gene fusion. Results: We discover recurrent aberrations to the SWI/SNF and FAT gene families. We also validate a novel PGAP3-SRPK1 gene fusion in the SNUC cell line, and show that knockdown of the fusion is negatively associated with EGFR, E2F and MYC signaling. Conclusion: Collectively, these data demonstrate recurrent alterations in the SWI/SNF and FAT gene families and discover a novel fusion gene (PGAP3-SRPK1). These data aim to improve understanding of possible driver mutations and guide future therapeutic strategies for this disease.