Abstract

Abstract Approximately 50-80% of sinonasal tract cancers are sinonasal squamous cell carcinoma (SNSCC), a rare malignancy which occur in the nasal cavity and maxillary sinus. These lesions possess a propensity for local invasion into adjacent structures including the skull base, brain, and orbit. Owing to relatively mild symptoms during early stages, which resemble benign sinonasal disease, most patients are already in clinically advanced stages when diagnosed. Therefore, despite improvements in endoscopic surgical approaches, radiotherapy and imaging techniques, the 5-year overall survival for advanced SNSCC patients remains poor (~40%). Inverted sinonasal papilloma (IP) is a locally aggressive, benign epithelial neoplasm arising in the paranasal sinuses which has a high recurrence rate and transforms to SNSCC in 10%-25% of cases. As some IP evolve to malignant neoplasms, it has been presumed that they represent an intermediate step in SNSCC progression. However, the current tools for detecting altered epithelial cells, such as clinical examination and histological characteristics, have limited prognostic value for predicting which IP will progress to malignancy, and the link between IP and invasive disease remains unclear. Activating mutations in EGFR and PIK3CA genes as well as loss-of-function mutations in TP53 have been reported in a few very small cohorts of IP and SNSCC lesions, suggesting their role in IP pathogenesis and progression to invasive malignancy. Other observed alterations potentially associated with malignant transition include KRAS mutations, loss of heterozygosity (LOH) at the 9p21 locus (containing p16INK4a), mismatch repair genes deficiency, amplification of FGFR1 and SOX2 genes, as well as NFκB, COX2 and HOXA9 overexpression. While these studies provide a snapshot of molecular changes in SNSCC, genetic alterations critical to the development of SNSCC are poorly understood, and the exact mechanism underlying malignant transformation remains unknown. In this study we have used PandaOmic, a multi-omic data analysis and visualization algorithm, to perform a first comprehensive integrative analysis of WES, mitochondrial sequencing and transcriptomic data obtained from 11 IP lesions, matched invasive SNSCC tumors and histologically normal paranasal sinus epithelium collected from the same patients. Our analysis reveals heterogeneous mutational patterns, gene expression changes and signaling pathways features associated with SNSCC pathogenesis, and provides crucial insights that may aid in the development of novel means of prevention, diagnosis, and treatment of this rare, aggressive and poorly characterized malignancy. Citation Format: Alka Singh, Nikita Babushkin, Michael Korzinkin, Viktoria Sarkisova, Vasudha Mishra, Ari Rosenberg, Mark Lingen, Justin Bishop, Alex Zhavoronkov, Nyall London, Nishant Agrawal, Xuanyao Liu, Evgeny Izumchenko. Comprehensive multi-omic characterization of genetic changes associated with sinonasal squamous cell carcinoma progression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6077.

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