Osteosarcomas are sarcomas of the bone, derived from osteoblasts or their precursors, with a high propensity to metastasize. Osteosarcoma is associated with massive genomic instability, making it problematic to identify driver genes using human tumors or prototypical mouse models, many of which involve loss of Trp53 function. To identify the genes driving osteosarcoma development and metastasis, we performed a Sleeping Beauty (SB) transposon-based forward genetic screen in mice with and without somatic loss of Trp53. Common insertion site (CIS) analysis of 119 primary tumors and 134 metastatic nodules identified 232 sites associated with osteosarcoma development and 43 sites associated with metastasis, respectively. Analysis of CIS-associated genes identified numerous known and new osteosarcoma-associated genes enriched in the ErbB, PI3K-AKT-mTOR and MAPK signaling pathways. Lastly, we identified several oncogenes involved in axon guidance, including Sema4d and Sema6d, which we functionally validated as oncogenes in human osteosarcoma.

Spliceosome mutations are common in MDS and AML, yet the oncogenic changes due to these mutations have not been identified. A global analysis of exon usage in AML samples revealed distinct molecular subsets containing alternative spliced isoforms of inflammatory and immune genes. IRAK4 was the dominant alternatively spliced isoform in MDS/AML and is characterized by a longer isoform that retains exon 4, encoding a protein, IRAK4-Long (L) that assembles with the Myddosome, results in maximal activation of NF-κB, and is essential for leukemic cell function. Expression of IRAK4-L is mediated by mutant U2AF1 and is associated with oncogenic signaling in MDS/AML. Inhibition of IRAK4-L abrogates leukemic growth, particularly in AML cells with higher expression of the IRAK4-L isoform. Collectively, mutations in U2AF1 induce expression of therapeutically targetable “active” IRAK4 isoforms and provide a genetic link to activation of chronic innate immune signaling in MDS and AML.

Malignant peripheral nerve sheath tumors (MPNSTs) are sarcomas of Schwann cell-lineage origin that occur sporadically or in association with the inherited syndrome, Neurofibromatosis Type 1. To identify genetic drivers of MPNST development, we utilized the Sleeping Beauty (SB) transposon-based somatic mutagenesis system in mice with somatic loss of tumor protein p53 (Trp53) function and/or overexpression of epidermal growth factor receptor (EGFR). Common insertion site (CIS) analysis of 269 neurofibromas and 106 MPNSTs identified 695 and 87 sites with a statistically significant number of recurrent transposon insertions, respectively. Comparison to human data sets revealed novel and known driver genes for MPNST formation at these sites. Pairwise co-occurrence analysis of CIS-associated genes identified many cooperating mutations that are enriched for in Wnt/CTNNB1, PI3K/Akt/mTor, and growth factor receptor signaling pathways. Lastly, we identified several novel proto-oncogenes including forkhead box R2 (Foxr2), which we functionally validated as a proto-oncogene involved in MPNST maintenance.

MicroRNAs (miRNAs) are small (19–24 nt), nonprotein-coding nucleic acids that regulate specific ‘target’ gene products via hybridization to mRNA transcripts, resulting in translational blockade or transcript degradation. Although miRNAs have been implicated in numerous developmental and adult diseases, their specific impact on biological pathways and cellular phenotypes, in addition to miRNA gene promoter regulation, remain largely unknown. To improve and facilitate research of miRNA functions and regulation, we have developed MMIA (microRNA and mRNA integrated analysis), a versatile and user-friendly web server. By incorporating three commonly used and accurate miRNA prediction algorithms, TargetScan, PITA and PicTar, MMIA integrates miRNA and mRNA expression data with predicted miRNA target information for analyzing miRNA-associated phenotypes and biological functions by gene set analysis, in addition to analysis of miRNA primary transcript gene promoters. To assign biological relevance to the integrated miRNA/mRNA profiles, MMIA uses exhaustive human genome coverage, including classification into various disease-associated genes as well as conventional canonical pathways and Gene Ontology. In summary, this novel web server (cancer.informatics.indiana.edu/mmia) will provide life science researchers with a valuable tool for the study of the biological (and pathological) causes and effects of the expression of this class of interesting protein regulators.