Extracellular vesicles (EVs) carry molecules derived from donor cells and are able to alter the properties of recipient cells. They are important players during the genesis and progression of tumors. Uveal melanoma (UM) is the most common primary intraocular tumor in adults and is associated with a high rate of metastasis, primarily to the liver. However, the mechanisms underlying this process are poorly understood. In the present study, we analyzed the oncogenic potential of UM-derived EVs and their protein signature. We isolated and characterized EVs from five UM cell lines and from normal choroidal melanocytes (NCMs). BRCA1-deficient fibroblasts (Fibro-BKO) were exposed to the EVs and analyzed for their growth in vitro and their reprograming potential in vivo following inoculation into NOD-SCID mice. Mass spectrometry of proteins from UM-EVs and NCM-EVs was performed to determine a protein signature that could elucidate potential key players in UM progression. In-depth analyses showed the presence of exosomal markers, and proteins involved in cell-cell and focal adhesion, endocytosis, and PI3K-Akt signaling pathway. Notably, we observed high expression levels of HSP90, HSP70 and integrin V in UM-EVs. Our data bring new evidence on the involvement of UM-EVs in cancer progression and metastasis.

Uveal melanoma (UM) is the most common intraocular tumor in adults. Despite effective local treatments, 50% of patients develop metastasis. Better ways to determine prognosis are needed as well as new therapeutic targets. Epigenetic changes are important events driving cancer progression; however, few studies exist on methylation changes in UM. Our aim was to identify methylation events associated with UM prognosis. Matched clinical, genetic, and methylation data for 80 UM cases were obtained from The Cancer Genome Atlas (TCGA). Top differentially methylated loci were sorted through hierarchical clustering based on methylation patterns, and these patterns were compared to tumor characteristics, genomic aberrations, and patient outcome. Hierarchical clustering revealed two distinct groups. These classifications effectively separated high and low-risk cases, with significant differences between groups in patient survival (p < 0.0001) and correlation with known prognostic factors. Major differences in methylation of specific genes, notably NFIA, HDAC4, and IL12RB2, were also seen. The methylation patterns identified in this study indicate potential novel prognostic indicators of UM and highlight the power of methylation changes in predicting outcome. The methylation events enriched in the high-risk group suggest that epigenetic modulating drugs may be useful in reducing metastatic potential, and that specific differentially methylated loci could act as biomarkers of therapeutic response.

BackgroundThere is an alarming increase in human papillomavirus‐associated head and neck cancer (HNC), reaching epidemic levels. While patient prognosis is generally good, off‐target treatment effects are associated with decreased quality of life. Thus, non‐invasive strategies to predict treatment response and risk of recurrence could help de‐escalate treatment. In this study, we tested circulating tumor (ct)DNA in liquid biopsies (blood/saliva) of HPV‐positive HNC patients to assess treatment response and disease progression.MethodsA total of 235 blood and saliva samples were collected from 60 HPV‐positive and 17 HPV‐negative HNC patients (control group) before and/or after treatment. Samples were analyzed using ddPCR for HPV16/18/31/33/35/45 and correlated with imaging and pathological examination.ResultsHPV‐ctDNA detection was significantly higher prior to treatment (91%) than after treatment (8.0%) (χ2 p < 0.00001), with high concordance between saliva and blood (93%). In matched samples, all patients positive for ctDNA before treatment showed significant reductions in ctDNA levels post treatment (p < 0.0001). All but one patient with persistent ctDNA after treatment showed residual tumor and subsequent recurrence. Finally, fragmentomic analysis revealed shifts in cell‐free DNA fragment size after treatment, suggesting a complementary biomarker for treatment response.ConclusionsBlood and saliva were found to be good sources of HPV‐ctDNA. The presence of ctDNA strongly correlated with treatment response, demonstrating clinical utility as a non‐invasive biomarker to monitor tumor progression in HPV‐positive HNC. Liquid biopsy based ctDNA testing could be an effective approach to predict recurrence and stratify patients for de‐escalation of treatment, thereby improving quality of life.

Background: Head and neck cancer (HNC) is the sixth most common cancer type worldwide, and despite decreases in the rates of Human Papillomavirus (HPV)-negative HNC, an alarming increase in HPV+ HNC is occurring. Circulating tumor (ct)DNA isolated from liquid biopsy has been shown to have clinical utility as a biomarker in cancer, with ctDNA levels and fragment size used to monitor treatment response. Methods: The aim of this study was to determine the presence of ctDNA in liquid biopsy (plasma and saliva) of HPV+ HNC patients to non-invasively monitor treatment response and disease progression. Blood and saliva samples were collected from 45 HPV+ HNC patients and 14 HPV-negative controls at the McGill University Health Centre before and/or after surgical resection. Samples were analyzed using droplet digital PCR (ddPCR) with primers and probes for HPV16/HPV18, the most common subtypes of HPV in HNC, accounting for 97% of cases in North America. Analysis was performed for all patients with confirmed follow-up scans and/or pathology. ctDNA levels were correlated with disease course as determined through imaging (&gt;6 months post-sampling) and pathological examination. Results: ctDNA was detectable in 21/23 (91%) patients prior to treatment and 8/36 (22%) post treatment. In the two patients who were not positive for ctDNA prior to treatment, tumor tissue was found to be negative for HPV DNA despite being p16-positive by immunohistochemistry. Patients showed shifts in ctDNA fragment length in longitudinal samples following treatment. All post-treatment patients with no detectable ctDNA had no signs of recurrence/residual disease on follow-up imaging. In contrast, all 8 patients who tested positive for ctDNA post-treatment showed signs of recurrence on follow-up imaging. In our cohort, 14 patients had matched pre- and post-treatment samples and all showed major reductions in ctDNA post treatment compared to pre-treatment, with 12/14 patients having a complete loss of detectable ctDNA. Concordance between the presence of ctDNA in saliva and plasma was found in 86% of patients. ctDNA was only detected in one analyte in 6 patients (3 in plasma only and 3 in saliva only). Conclusion: HPV ctDNA was successfully detected in saliva and blood of patients with HPV-positive HNC, with a sensitivity of 92% for ctDNA prior to treatment, and a sensitivity of 100% when adjusted for tumor HPV status as opposed to p16 staining. The inclusion of both plasma and saliva in analysis increases the sensitivity of assays, with the use of both analytes allowing for the detection of ctDNA in patients with low plasma DNA levels and for patients who did not have salivary ctDNA, potentially due to inability to produce sufficient saliva or tumor location. The presence of ctDNA correlated with treatment response, indicating the potential of HPV ctDNA for monitoring tumor progression in HPV-positive HNC patients. Citation Format: Sarah Tadhg Ferrier, Anthony Zeitouni, Nader Sadeghi, Thupten Tsering, Julia V. Burnier. Characterizing treatment response in head and neck cancer through viral ctDNA quantification and fragment length [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3405.