Genetic associations with thalidomide mediated venous thrombotic events in myeloma identified using targeted genotyping.

A venous thromboembolism (VTE) with the subsequent risk of pulmonary embolism is a major concern in the treatment of patients with multiple myeloma with thalidomide. The susceptibility to developing a VTE in response to thalidomide therapy is likely to be influenced by both genetic and environmental factors. To test genetic variation associated with treatment related VTE in patient peripheral blood DNA, we used a custom-built molecular inversion probe (MIP)-based single nucleotide polymorphism (SNP) chip containing 3404 SNPs. SNPs on the chip were selected in "functional regions" within 964 genes spanning 67 molecular pathways thought to be involved in the pathogenesis, treatment response, and side effects associated with myeloma therapy. Patients and controls were taken from 3 large clinical trials: Medical Research Council (MRC) Myeloma IX, Hovon-50, and Eastern Cooperative Oncology Group (ECOG) EA100, which compared conventional treatments with thalidomide in patients with myeloma. Our analysis showed that the set of SNPs associated with thalidomide-related VTE were enriched in genes and pathways important in drug transport/metabolism, DNA repair, and cytokine balance. The effects of the SNPs associated with thalidomide-related VTE may be functional at the level of the tumor cell, the tumor-related microenvironment, and the endothelium. The clinical trials described in this paper have been registered as follows: MRC Myeloma IX: ISRCTN68454111; Hovon-50: NCT00028886; and ECOG EA100: NCT00033332.

High rates of tenofovir failure in a CRF01_AE-predominant HIV epidemic in the Philippines.

BACKGROUND: The Philippines has the fastest growing HIV epidemic in the Asia-Pacific. This increase was accompanied by a shift in the predominant HIV subtype from B to CRF01_AE. Increasing evidence points to a difference in treatment responses between subtypes. We examined treatment failure and acquired drug resistance (ADR) in people living with HIV (PLHIVs) after one year on antiretrovirals (ARVs). METHODS: PLHIV maintained on ARVs for one year were recruited. Treatment failure was defined as a viral load of ≥1000 copies/mL. Sanger sequencing for genotyping and drug resistance mutation (DRM) detection was performed on patients failing treatment. RESULTS: 513 PLHIV were enrolled. The most common antiretroviral regimens were TDF+3TC + EFV (269) and AZT+3TC + EFV (155). 53 (10.3%) subjects failed treatment. Among these, 48 (90.6%) had DRMs, 84.9% were subtype CRF01_AE. Tenofovir-based regimens performed worse than zidovudine-based regimens (OR 3.28, 95% CI 1.58-7.52 p < 0.001). Higher rates of NRTI, NNRTI, K65R tenofovir resistance, and multi-class resistance were found compared to those reported in literature. CONCLUSIONS: HIV treatment failure at one year of treatment in the Philippines is 10.3%. We found unusually high tenofovir and multiclass resistance, and optimal ARV regimens may need to be reevaluated for CRF01_AE-predominant epidemics.

Genomic variation in myeloma: design, content, and initial application of the Bank On A Cure SNP Panel to detect associations with progression-free survival.

BACKGROUND: We have engaged in an international program designated the Bank On A Cure, which has established DNA banks from multiple cooperative and institutional clinical trials, and a platform for examining the association of genetic variations with disease risk and outcomes in multiple myeloma. We describe the development and content of a novel custom SNP panel that contains 3404 SNPs in 983 genes, representing cellular functions and pathways that may influence disease severity at diagnosis, toxicity, progression or other treatment outcomes. A systematic search of national databases was used to identify non-synonymous coding SNPs and SNPs within transcriptional regulatory regions. To explore SNP associations with PFS we compared SNP profiles of short term (less than 1 year, n = 70) versus long term progression-free survivors (greater than 3 years, n = 73) in two phase III clinical trials. RESULTS: Quality controls were established, demonstrating an accurate and robust screening panel for genetic variations, and some initial racial comparisons of allelic variation were done. A variety of analytical approaches, including machine learning tools for data mining and recursive partitioning analyses, demonstrated predictive value of the SNP panel in survival. While the entire SNP panel showed genotype predictive association with PFS, some SNP subsets were identified within drug response, cellular signaling and cell cycle genes. CONCLUSION: A targeted gene approach was undertaken to develop an SNP panel that can test for associations with clinical outcomes in myeloma. The initial analysis provided some predictive power, demonstrating that genetic variations in the myeloma patient population may influence PFS.

Pervasive purifying selection characterizes the evolution of I2 homologs.

We sampled 384 sequences related to the Solanum pimpinellifolium (=Lycopersicon pimpinellifolium) disease resistance (R) gene 12 from six species, potato, S. demissum, tomato, eggplant, pepper, and tobacco. These species represent increasing phylogenetic distance from potato to tobacco, within the family Solanaceae. Using sequence data from the nucleotide binding site (NBS) region of this gene, we tested models of gene family evolution and inferred patterns of selection acting on the NBS gene region and I2 gene family. We find that the I2 family has diversified within the family Solanaceae for at least 14 million years and evolves through a slow birth-and-death process requiring approximately 12 million years to homogenize gene copies within a species. Analyses of selection resolved a general pattern of strong purifying selection acting on individual codon positions within the NBS and on NBS lineages through time. Surprisingly, we find nine codon positions strongly affected by positive selection and six pairs of codon positions demonstrating correlated amino acid substitutions. Evolutionary analyses serve as bioinformatic tools with which to sort through the vast R gene diversity in plants and find candidates for new resistance specificities or to identify specific amino acid positions important for biochemical function. The slow birth-and-death evolution of I2 genes suggests that some NBS-leucine rich repeat-mediated resistances may not be overcome rapidly by virulence evolution and that the natural diversity of R genes is a potentially valuable source for durable resistance.