Molecular evidence for the bi-clonal origin of neuroendocrine tumor derived metastases.

BACKGROUND: Reports on common mutations in neuroendocrine tumors (NET) are rare and clonality of NET metastases has not been investigated in this tumor entity yet. We selected one NET and the corresponding lymph node and liver metastases as well as the derivative cell lines to screen for somatic mutations in the primary NET and to track the fate of genetic changes during metastasis and in vitro progression. RESULTS: Applying microarray based sequence capture resequencing including 4,935 Exons from of 203 cancer-associated genes and high-resolution copy number and genotype analysis identified multiple somatic mutations in the primary NET, affecting BRCA2, CTNNB1, ERCC5, HNF1A, KIT, MLL, RB1, ROS1, SMAD4, and TP53. All mutations were confirmed in the patients' lymph node and liver metastasis tissue as well as early cell line passages. In contrast to the tumor derived cell line, higher passages of the metastases derived cell lines lacked somatic mutations and chromosomal alterations, while expression of the classical NET marker serotonin was maintained. CONCLUSION: Our study reveals that both metastases have evolved from the same pair of genetically differing NET cell clones. In both metastases, the in vivo dominating "mutant" tumor cell clone has undergone negative selection in vitro being replaced by the "non-mutant" tumor cell population. This is the first report of a bi-clonal origin of NET derived metastases, indicating selective advantage of interclonal cooperation during metastasis. In addition, this study underscores the importance to monitor cell line integrity using high-resolution genome analysis tools.

High-Throughput Sequencing of the Major Histocompatibility Complex following Targeted Sequence Capture.

The Human Major Histocompatibility Complex (MHC) is a highly polymorphic region full of immunoregulatory genes. The MHC codes for the human leukocyte antigens (HLA), proteins that present on the cellular surface and that are involved in self-non-self recognition. For matching donors and recipients for organ and stem-cell transplants it is important to know an individual's HLA haplotype determinable in this region. Now, as next-generation sequencing (NGS) platforms mature and become more and more accepted as a standard method, NGS applications have spread from research laboratories to the clinic, where they provide valid genetic insights. Here, we describe a cost-effective microarray-based sequence capture, enrichment, and NGS sequencing approach to characterize MHC haplotypes. Using this approach, ~4 MB of MHC sequence for four DNA samples (donor, recipient and the parents of the recipient) were sequenced in parallel in one NGS instrument run. We complemented this approach using microarray-based genome-wide SNP analysis. Taken together, the use of recently developed tools and protocols for sequence capture and massively parallel sequencing allows for detailed MHC analysis and donor-recipient matching.