Metastatic melanoma is one of the most immunogenic malignancies due to its high rate of mutations and neoantigen formation. Response to BRAF inhibitors (BRAFi) may be determined by intratumoral immune activation within melanoma metastases. To evaluate whether CD8+ T cell infiltration and distribution within melanoma metastases can predict clinical response to BRAFi, we developed a methodology to integrate immunohistochemistry with automated image analysis of CD8+ T cell position. CD8+ distribution patterns were correlated with gene expression data to identify and quantify "hot" areas within a tumor. Furthermore, the relative activation of CD8+cells, based on transcriptomic analysis, and their relationship to other CD8+ T cells and non-CD8+ cells within the tumor suggested a less crowded distribution of cells around activated CD8+ T cells. Furthermore, the relative activation of these CD8+ T cells was associated with improved clinical outcomes and decreased tumor cell proliferation. This study demonstrates the potential of digital pathomics to incorporate immune cell spatial distribution within metastases and RNAseq analysis to predict clinical response to BRAF inhibition in metastatic melanoma.

e22054 Background: UM is the most common primary intraocular malignancy. About 50% of pts with UM will develop metastatic disease and currently there is no effective treatment in metastatic UM. Nearly 95% of UM harbour mutually exclusive activating mutations in GNAQ, GNA11, CYSTLR2 and PLCb4. We sought to evaluate ctDNA in metastatic UM pts receiving experimental early phase clinical trial of LXS196, a PKCi, using digital droplet PCR (ddPCR) and targeted ion torrent next generation sequencing (NGS). Methods: 17 pts with metastatic UM were identified from a single institution. Pt characteristics including mutation status, disease volume using sum of product of disease (SPOD), best response and clinical benefit defined as partial response (PR) or stable disease (SD) > 6 months were assessed. Plasma samples at baseline and early on treatment (EOT) (14 – 30 days on treatment) were analysed for ctDNA using mutation specific ddPCR. A custom made NGS panel covering 95% of UM mutations was used on plasma ctDNA samples at baseline and on treatment. The allele frequency (AF) of activating mutations identified using ion torrent NGS analysis were then validated using ddPCR. Results: Using ddPCR, 16/17 pts had a +ve ctDNA at baseline with baseline ctDNA copies correlating with LDH (n = 17, p = < 0.001, Spearman’s rank r = 0.8015) and SPOD (n = 17, p = 0.005, r = 0.6642). 16/17 pts had paired samples at baseline and EOT and only 4/16 pts were undetectable at EOT. These 4 pts were GNA11 Q209L positive, had below median SPOD (median 5986, range 200 – 16782), and low numbers of liver metastases (median 9, range 1 – 49). Of these 4 pts, one had PR and three had SD (two with SD > 6 months) as best response. A further 8 pts had +ve ctDNA at baseline and showed a reduction in EOT (reduction range 46 – 99%). Of these 8 pts, one had PR, four had SD (two with SD > 6 months) and three had progressive disease (PD) as best response. The remaining 4 pts showed increasing ctDNA from baseline to EOT and all had SD/PD. Using ROC analysis, EOT ctDNA predicted clinical benefit to PKCi (AUC 0.84, [95% confidence interval, 0.65-1.0, p = 0.026]). AF of ion torrent NGS correlated significantly with ddPCR AF (n = 30, p = < 0.001, r = 0.968). Ion torrent NGS was able to detect additional mutations implicated in UM prognosis including SF3B1 mutations in 4 pts. Conclusions: Baseline ctDNA correlates with baseline LDH level and disease volume. EOT ctDNA predicted clinical benefit to PKCi. The ctDNA AF derived from ddPCR and NGS was comparable and targeted ion torrent NGS was useful in detecting driver as well as additional mutations in UM.

Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12621000176864 . Registered on 18 February 2021.

Transcriptomic signatures designed to predict melanoma patient responses to PD-1 blockade have been reported but rarely validated. We now show that intra-patient heterogeneity of tumor responses to PD-1 inhibition limit the predictive performance of these signatures. We reasoned that resistance mechanisms will reflect the tumor microenvironment, and thus we examined PD-1 inhibitor resistance relative to T-cell activity in 94 melanoma tumors collected at baseline and at time of PD-1 inhibitor progression. Tumors were analyzed using RNA sequencing and flow cytometry, and validated functionally. These analyses confirm that major histocompatibility complex (MHC) class I downregulation is a hallmark of resistance to PD-1 inhibitors and is associated with the MITF^low/AXL^high de-differentiated phenotype and cancer-associated fibroblast signatures. We demonstrate that TGFß drives the treatment resistant phenotype (MITF^low/AXL^high) and contributes to MHC class I downregulation in melanoma. Combinations of anti-PD-1 with drugs that target the TGFß signaling pathway and/or which reverse melanoma de-differentiation may be effective future therapeutic strategies.

Primary melanomas >1 mm thickness are potentially curable by resection, but can recur metastatically. We assessed the prognostic value of T cell fraction (TCFr) and repertoire T cell clonality, measured by high-throughput-sequencing of the T cell receptor beta chain (TRB) in T2-T4 primary melanomas (n=199). TCFr accurately predicted progression-free survival (PFS) and was independent of thickness, ulceration, mitotic rate, or age. TCFr was second only to tumor thickness in its predictive value, using a gradient boosted model. For accurate PFS prediction, adding TCFr to tumor thickness was superior to adding any other histopathological variable. Furthermore, a TCFr >20% was protective regardless of tumor ulceration status, mitotic rate or presence of nodal disease. TCFr is a quantitative molecular assessment that predicts metastatic recurrence in primary melanoma patients whose disease has been resected surgically. This study suggests that a successful T cell-mediated antitumor response can be present in primary melanomas.

info:eu-repo/semantics/nonPublished

By integrating an agonist satiety signal, provided by alpha-melanocyte-stimulating hormone (alpha-MSH), and an antagonist signal, provided by agouti-related protein (AGRP), the melanocortin-4 receptor (MC4-R) is a key element in the hypothalamic control of food intake. Inactivation of the gene encoding this G protein-coupled receptor causes obesity in mice. In humans, frameshift mutations in MC4-R cause an early-onset dominant form of obesity in two families. In this study we find a high frequency (4%) of rare heterozygous MC4-R mutations in a large population of morbidly obese patients. No such mutations were found in controls. By analyzing the phenotypes of the probands carrying these mutations, we demonstrate that these patients display a common, nonsyndromic form of obesity. Interestingly, functional analysis of the mutant receptors indicates that obesity-associated defects in MC4-R range from loss of function to constitutive activation. Transmission of these mutations in the families of the carriers indicates a variable expressivity that is not related to the functional severity of the mutations. This variable expressivity of MC4-R-associated obesity is not due to variations in genes for alpha-MSH or AGRP. Taken together, these results demonstrate that MC4-R mutations are a frequent but heterogeneous genetic cause of morbid obesity.

Clinically manifest orofacial herpes was reported in one third of the sample, principally associated with HSV1 infection. HSV2 infection did not produce orofacial lesions nor influence clinical manifestations of HSV1 infection.