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The studies in this thesis explored several aspects of genetic dependencies in the development of familial and sporadic melanoma. CDKN2A is the most common high-penetrance susceptibility gene responsible for up to 40% of melanoma families worldwide. Interestingly, more than half of germline variation in familial predisposition to melanoma remains to be determined. To identify novel high-penetrance melanoma susceptibility genes we applied Whole Exome Sequencing (WES) and co-segregation analysis in a Dutch melanoma family. We identified NEK11 as a candidate high-penetrance melanoma susceptibility gene and performed functional characterization in cancer cell lines to show loss-of-function (chapter 2). Our additional focus of investigation was a specific cohort of familial melanoma patients carrying a CDKN2A founder mutation, a 19-bp deletion known as the p16-Leiden mutation. Due to the variability in occurrence of pancreatic cancer (PC) and melanoma within familial melanoma families, we sought to examine genetic modifiers predicting the risk of PC and melanoma (chapter 3). In this specific cohort of familial melanoma patients, the timing of CDKN2A wild-type allele loss in melanoma development is unknown. We have applied a customized SNP-based digital PCR (dPCR) methodology to precisely quantify CDKN2A allelic imbalance depicting loss-of-heterozygosity (LOH) and attempted to deduce the order of genetic events based on absolute quantification of mutations and losses (CDKN2A LOH, BRAFV600E, TERT promoter, chromosome 9q LOH) (chapter 4). Finally, in addition to high-penetrance genes in familial melanoma, there are genes that are important fitness factors for cancer cell growth and may provide insight into the biology and progression of sporadic melanoma. The application of screening technologies has been successful in identifying genetic dependencies that could possibly be implemented as therapeutic targets in cancer. We have therefore analyzed Clustered Regular Interspaced Short Palindromic Repeats (CRISPR-Cas9) screening data to identify fitness genes in melanoma and used in-vitro systems to validate our findings (chapter 5). Combined, we hope to have uncovered novel genetic dependencies that could be used in the targeted treatment of sporadic as well as familial melanoma.

Melanoma is the most aggressive type of skin cancer. It is the seventh most common type of cancer among men and the eighth most common among women with a lifetime risk about 2% (Feng et al., 2011). The incidence of melanoma is rising faster than that of any other cancer type in the US (Tsao et al., 2004). Melanoma is a multifactorial disease whose risk depends on genetic susceptibility (around 10% of melanoma cases have a family history of the disease) as well as on external factors, among which an exposure to ultraviolet (UV) radiation and sunburn play an important role. Brain metastases is a major challenge in melanoma and one of the least understood aspects of this disorder (Skibber et al., 1996; Fidler et al., 1999). Average survival in advanced metastatic melanoma is only 6–10 months with

Background The weight that gene copy number plays in transcription remains controversial; although in specific cases gene expression correlates with copy number, the relationship cannot be inferred at the global level. We hypothesized that genes steadily expressed by 15 melanoma cell lines (CMs) and their parental tissues (TMs) should be critical for oncogenesis and their expression most frequently influenced by their respective copy number. Results Functional interpretation of 3,030 transcripts concordantly expressed (Pearson's correlation coefficient p-value < 0.05) by CMs and TMs confirmed an enrichment of functions crucial to oncogenesis. Among them, 968 were expressed according to the transcriptional efficiency predicted by copy number analysis (Pearson's correlation coefficient p-value < 0.05). We named these genes, "genomic delegates" as they represent at the transcriptional level the genetic footprint of individual cancers. We then tested whether the genes could categorize 112 melanoma metastases. Two divergent phenotypes were observed: one with prevalent expression of cancer testis antigens, enhanced cyclin activity, WNT signaling, and a Th17 immune phenotype (Class A). This phenotype expressed, therefore, transcripts previously associated to more aggressive cancer. The second class (B) prevalently expressed genes associated with melanoma signaling including MITF, melanoma differentiation antigens, and displayed a Th1 immune phenotype associated with better prognosis and likelihood to respond to immunotherapy. An intermediate third class (C) was further identified. The three phenotypes were confirmed by unsupervised principal component analysis. Conclusions This study suggests that clinically relevant phenotypes of melanoma can be retraced to stable oncogenic properties of cancer cells linked to their genetic back bone, and offers a roadmap for uncovering novel targets for tailored anti-cancer therapy.