Abstract

BackgroundSurvival in metastasized cutaneous melanoma (CM) has been improved with the advent of inhibitors of immune checkpoints CTLA4 and PD‐1. In contrast, the response rate for inhibition of these checkpoints in uveal melanoma (UM) is very low. Other checkpoints including IDO and TIGIT may be targetable.MethodsSections from 6 patients with UM, who had undergone primary enucleation 1978—1995 and 6 paired liver metastases were stained immunohistochemically (SOX10, Melan‐A, IDO, TIGIT, and CD8). Four tumors from patients who did not develop metastasis during a mean follow‐up of 19 years, and 5 samples each of normal choroidal and liver tissue were included for comparison. The number of cells/mm2 expressing IDO, TIGIT and CD8 was counted with manual and digital image analysis methods. Retrospective data on patient and tumor characteristics was reviewed.ResultsThe number of TIGIT positive cells was significantly higher in primary tumors from patients who eventually developed metastases (mean 4695 cells/mm2) than from patients who didn't (mean 1342 cells/mm2, P < 0.01) and paired metastases (463 cells/mm2, P < 0.01). The number of IDO positive cells was not significantly higher in metastatic tumors (P = 0.079), but the number of IDO and TIGIT positive cells/mm2 correlated in both hot spots (R 2 = 0.24, P < 0.01) and full tumor sections (R 2 = 0.35, P < 0.01).ConclusionThe expression of immune checkpoint receptor TIGIT is increased in primary uveal melanomas that seed metastases, and correlates with the expression of checkpoint receptor IDO. Both may be future targets for therapy.

Highlights

  • Uveal melanoma (UM) is the most common primary intraocular tumor in adults, with a propensity for liver metastasis.[1]

  • The number of TIGIT positive cells was significantly higher in tumors from patients that eventually developed metastasis

  • The number of TIGIT positive cells was higher than the number of CD8 positive cells in all types of tissue examined, and correlated with the number of IDO positive cells

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Summary

Funding information

This research was partially supported by grants to Gustav Stålhammar from St. Erik Eye Hospital, the St. Erik Research Foundation (S:t Eriks Ögonforskningsstiftelse), the Swedish Ophthalmological Society, Cronqvists stiftelse (Cronqvist foundation), the Swedish Eye Foundation (ögonfonden) and Karolinska Institutet (Karolinska Institutets stiftelsemedel för ögonforskning), and partially by the National Institutes of Health/National Cancer Institute (R01CA176001 and P30EY06360) to Hans E. Grossniklaus.

| INTRODUCTION
| MATERIALS AND METHODS
| Statistical methods
| RESULTS
| DISCUSSION
Findings
CONFLICT OF INTEREST
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