To describe various clinical pictures of posterior scleritis following pembrolizumab therapy for metastatic cutaneous melanoma.
Description of the clinical case with data from patient presentation and recurrences, diagnostic examinations, treatment, and six-months follow up. Clinical presentation of previous reports of pembrolizumab related of eye inflammation are discussed.
A 49-year-old patient underwent resection of metastatic melanoma of the skin with sentinel lymph nodes removal and pembrolizumab adjuvant therapy every three weeks. Nine months after pembrolizumab initiation the patient accessed ophthalmology emergency service complaining one week vision loss on her right eye associated with pain on eye movement. Ocular examination revealed right eye papillitis and posterior scleritis. Intravenous corticosteroid treatment was started associated with topical prednisolone drops, after which complete resolution of the subretinal fluid was seen. During the six months follow up one episode of posterior scleritis was observed in the contralateral eye and resolved after peribulbar corticosteroid injection and oral therapy and one recurrence of intermediate scleritis in the right eye which resolved after oral therapy.
Posterior and intermediate scleritis may be added to the spectrum of pembrolizumab related eye inflammation; in the case presented posterior scleritis occurred asymmetrically in both eyes suggesting chronic features, importance of steroid tapering and follow up.
Pre-clinical and clinical studies propose that statins may have chemopreventive effects against cancer, suggesting their possible roles as adjunctive therapies for melanoma.
To investigate the association between regular statin use and disease recurrence in patients with resected Stage I-III melanoma.
We conducted a retrospective analysis of patients enrolled in the multi-center Melanoma Research Victoria cohort with a histologically confirmed, resected American Joint Committee on Cancer Stage I-III cutaneous melanoma. Patients with uveal melanoma, melanoma of unknown primary site, or mucosal melanoma were excluded. Melanoma recurrence outcomes were compared between statin users and statin non-users, with statin use determined by linkage to the Pharmaceutical Benefits Scheme (Australia) prescription database.
624 patients with resected Stage I-III melanoma at diagnosis were eligible for the study. 193 patients were classified as statin users and 431 patients as statin non-users. In all, 45 statin users experienced disease recurrence compared to 140 (23.3 vs 32.5%, p = 0.05) statin non-users with similar durations of follow-up (median 2.2 and 2.4 years, respectively). After adjustment, statin users had a lower risk melanoma recurrence than statin non-users (HR 0.66, 95%CI 0.44–0.99, p = 0.04). A lower risk of recurrence was also observed in subset analyzes of statin users on high-dose therapy (HR 0.50, 95%CI 0.25–0.99, p = 0.05) and patients who were adherent to statin therapy (HR 0.60, 95%CI 0.39–0.92, p = 0.02).
Our study supports the possibility that an association exists between statin use and reduced disease recurrence in resected cutaneous melanoma.
Cutaneous malignant melanoma suffers from the highest metastasis rate and mortality among different skin cancer entities. However, with emerging immune checkpoint inhibitor (ICI) therapy, prognosis has significantly improved over the last years. To better assess treatment response stable and reliable biomarkers are needed.
We gathered blood samples of 81 patients with predominantly AJCC Stage III/IV melanoma to evaluate serum markers and plasma-derived miRNAs. A machine learning model was developed to predict immunotherapy response. Serum markers were measured according to standard clinical routines. Expression levels of 61 miRNAs were quantified via flowcytometry. LASSO logistic regression was fit to the data to predict therapy outcome, employing AUROC as the performance metric. Nested cross-validation was used to mitigate overfitting.
Plasma-derived miRNA expression exhibited significant association with therapy response for 5 miRNAs: miR-132–3p, miR-137, miR-197, miR-214, miR-514a-3p. Serum markers LDH, CRP, S100 and eosinophile concentration showed significant differences between Responders and Non-Responders. Age and previous anti-BRAF therapy (BRAFi/MEKi) were the only demographic parameters significantly related to therapy outcome. Among six machine learning models tested, a relaxed LASSO approach on the entire dataset performed best (AUC = 0.851).
Validation of the relaxed LASSO model in the outer loop of the nested cross validation yielded an AUC of 0.847. This model incorporated expression of a miRNA-quartet, LDH, patient age and prior BRAFi/MEKi. It effectively identifies Responders and Non-Responders with high sensitivity and specificity, presenting promising candidates for the validation of future biomarkers.