Neuroendocrine tumors (NETs), originally described as carcinoids, represent a rare and heterogeneous group of neoplasms associated with intensive secretion of hormones, bioactive peptides and amines. Most of the patients are diagnosed at a late stage of disease, often with liver metastases. Surgery remains the main treatment to control metastatic disease, but is not curative. Oncolytic virotherapy represents a promising approach to treat cancer and different strategies have been exploited to restrict viral replication to tumor cells. We developed an oncolytic adenovirus based on serotype 5, Ad5[CgA-E1A], where the chromogranin A (CgA) promoter controls expression of the E1A gene and thereby virus replication. We found that Ad5[CgA-E1A], selectively replicates in NET cells and it is able to suppress fast-growing human BON carcinoid tumors in nude mice. The activity of Ad5[CgA-E1A] was not completely blocked in liver cells. We further repressed virus replication in hepatocytes by targeting E1A with miR122, an miRNA specifically expressed in the liver. miRNAs bind to mRNA and induce its cleavage or translational blockage. By insertion of tandem repeats of miR122 target sequences in 3’UTR of E1A gene, we observed reduced E1A protein expression and replication arrest in miR122 expressing liver cells. The oncolytic potency of the miR122-targeted virus was not affected in NET cells. Since some NET and neuroblastoma cells express high levels of somatostatin receptors (SSTRs), we introduced in the virus fiber knob cyclic peptides, which contain four amino acids (FWKT) and mimic the binding site of somatostatin for SSTRs. The FWKT-modified Ad5 transduces midgut carcinoid cells from liver metastases about 3-4 times better than non-modified Ad5. Moreover, FWKT-modified Ad5 overcomes neutralization in an ex vivo human blood loop model to a greater extent than Ad5, indicating that the fiber knob modification may prolong the systemic circulation time. NETs represent a huge therapeutic challenge and novel diagnostic markers are needed for early detection and effective treatment of NETs. We have profiled primary tumors and liver metastases of ileocaceal NETs, using Affymetrix microarrays and advanced bioinformatics. We have identified six novel marker genes and show high similarity between primary lesions and liver metastases transcriptome by hierarchical clustering analysis.

Mantle cell lymphoma (MCL) and chronic lymphocytic leukemia (CLL) both belong to the group of mature B-cell malignancies. However, MCL is typically clinically aggressive while the clinical course of CLL varies. CLL can be divided into prognostic subgroups based on IGHV mutational status and into multiple subsets based on closely homologous (stereotyped) B-cell receptors. In paper I we investigated 31 MCL cases using high-density 250K single-nucleotide polymorphism arrays and gene expression arrays. Although most copy-number aberrations (CNAs) were previously reported in MCL, a novel deletion was identified at 20q (16%) containing the candidate tumor suppressor gene ZFP64. A high proliferation gene expression signature was associated with poor prognosis, large CNAs, 7p gains and 9q losses. Losses at 1p/8p/13q/17p were associated with increased genomic complexity. In paper II we sequenced exons 4 to 8 of the TP53 gene in 119 MCL cases. 17p copy-number status was known from previous studies or determined by real-time quantitative polymerase chain reaction. TP53 mutations were detected in 14% of cases and were strongly associated with poor survival while 17p deletions were more common (32%) but did not predict survival. In papers III and IV we applied high-resolution genomic 27K methylation arrays to 20 MCL and 39 CLL samples. In paper III MCL displayed a homogenous methylation profile without correlation with the proliferation signature whereas MCL was clearly separated from CLL. Gene ontology analysis revealed enrichment of developmental genes, in particular homeobox transcription factor genes, among targets methylated in MCL. In paper IV we compared three different stereotyped CLL subsets: #1 (IGHV unmutated), #2 (IGHV3-21) and #4 (IGHV mutated). Many genes were differentially methylated between each two subsets and immune response genes (e.g. CD80 and CD86) were enriched among genes methylated in subset #1 but not in subsets #2/#4. In summary, CNAs were frequent and not random in MCL. Specific CNAs correlated with a high proliferation gene expression signature or genomic complexity. TP53 mutations predicted short survival whereas 17p deletions did not. A high proliferation signature was not associated with differential DNA methylation in MCL, which demonstrated a homogeneous methylation pattern. In contrast, genomic methylation patterns differed between MCL and CLL and between stereotyped CLL subsets.

The presence of TP53 mutations has been associated with inferior outcome in diffuse large B-cell lymphoma (DLBCL) and chronic lymphocytic leukemia (CLL). In DLBCL, the impact of the TP53 codon 72 polymorphism and MDM2 SNP309 has not been clearly elucidated, whereas MDM2 SNP309 was suggested as a poor-prognostic marker in CLL. In addition, p16INK4a promoter hypermethylation has been implicated as a negative prognostic factor in DLBCL. The aim of this thesis was to further evaluate these molecular markers in well-characterised materials of DLBCL and CLL. In paper I, we investigated the prognostic role of TP53 mutation, codon 72 polymorphism and MDM2 SNP309 in DLBCL (n=102). The presence of TP53 mutations (12.7%) correlated with a poor lymphoma-specific and progression-free survival, and a particularly pronounced effect was observed in the germinal center subtype. Neither the MDM2 SNP309 nor the TP53 codon 72 polymorphism had an impact on age of onset or survival. In paper II, we applied pyrosequencing to measure the level of p16INK4a methylation in DLBCL (n=113). Thirty-seven percent of cases displayed p16INK4a methylation; however, no clear association could be observed between degree of methylation and clinical characteristics or lymphoma-specific survival. In papers III–IV, we investigated the prognostic role of MDM2 SNP309 (n=418) and TP53 mutation (n=268) in CLL. No correlation was observed between any particular MDM2 SNP309 genotype and time to treatment and overall survival. Furthermore, no association was found between the different MDM2 SNP309 genotypes and established CLL prognostic markers. TP53 mutations were detected in 3.7% of CLL patients; where the majority showed a concomitant 17p-deletion and only three carried TP53 mutations without 17p-deletion. We confirmed a significantly shorter overall survival and time to treatment in patients with both TP53 mutation and 17p-deletion. Altogether, our studies could confirm the negative prognostic impact of TP53 mutations in DLBCL, whereas MDM2 SNP309 and TP53 codon 72 polymorphisms appear to lack clinical relevance. We also question the role of p16INKa methylation as a poor-prognostic factor in DLBCL. Finally, the presence of TP53 mutation in CLL appears to be rare at disease onset and instead arise during disease progression.

Copy number variation (CNV) comprises a recently discovered kind of variation involving deletion and duplication of DNA segments of variable size, ranging from a few hundred basepairs to several million. By altering gene dosage levels or disrupting proximal or distant regulatory elements CNVs create human diversity. They represent also an important factor in human evolution and play a role in many disorders including cancer. Array-based comparative genomic hybridization as well as expression arrays are powerful and suitable methods for determination of copy number variations or gene expression changes in the human genome. In paper I we established a 32K clone-based genomic array, covering 99% of the current assembly of the human genome with high resolution and applied it in the profiling of 71 healthy individuals from three ethnic groups. Novel and previously reported CNVs, involving ~3.5% of the genome, were identified. Interestingly, 87% of the detected CNV regions overlapped with known genes indicating that they probably have phenotypic consequences. In papers II through IV we applied this platform to different tumor types, namely two collections of brain tumors, glioblastoma (paper II) and medulloblastoma (paper III), and a set of bladder carcinoma (paper IV) to identify chromosomal alterations at the level of DNA copy number that could be related to tumor initiation/progression. Tumors of the central nervous system represent a heterogeneous group of both benign and malignant neoplasms that affect both children and adults. Glioblastoma and medulloblastoma are two malignant forms. Glioblastoma often affects adults while the embryonal tumor medulloblastoma is the most common malignant brain tumor among children. The detailed profiling of 78 glioblastomas, allowed us to identify a complex pattern of aberrations including frequent and high copy number amplicons (detected in 79% of samples) as well as a number of homozygously deleted loci. These regions encompassed not only previously reported oncogenes and tumor suppressor genes but also numerous novel genes. In paper III, a subset of 26 medulloblastomas was analyzed using the same genomic array. We observed that alterations involving chromosome 17, especially isochromosome 17q, were the most common genomic aberrations in this tumor type, but copy number alterations involving other chromosomes: 1, 7 and 8 were also frequent. Focal amplifications, on chromosome 1 and 3, not previously described, were also detected. These loci may encompass novel genes involved in medulloblastoma development. In paper IV we examined for the presence of DNA copy number alterations and their effect on gene expression in a subset of 21 well-characterized Ta bladder carcinomas, selected for the presence or absence of recurrences. We identified a number of novel genes as well as a significant association between amplifications and high-grade and recurrent tumors which might be clinically useful. The results derived from these studies increase our understanding of the genetic alterations leading to the development of these tumor forms and point out candidate genes that may be used in future as targets for new diagnostic and therapeutic strategies.