The Machine-Learning-Mediated Interface of Microbiome and Genetic Risk Stratification in Neuroblastoma Reveals Molecular Pathways Related to Patient Survival.

Currently, most neuroblastoma patients are treated according to the Children's Oncology Group (COG) risk group assignment; however, neuroblastoma's heterogeneity renders only a few predictors for treatment response, resulting in excessive treatment. Here, we sought to couple COG risk classification with tumor intracellular microbiome, which is part of the molecular signature of a tumor. We determine that an intra-tumor microbial gene abundance score, namely M-score, separates the high COG-risk patients into two subpopulations (Mhigh and Mlow) with higher accuracy in risk stratification than the current COG risk assessment, thus sparing a subset of high COG-risk patients from being subjected to traditional high-risk therapies. Mechanistically, the classification power of M-scores implies the effect of CREB over-activation, which may influence the critical genes involved in cellular proliferation, anti-apoptosis, and angiogenesis, affecting tumor cell proliferation survival and metastasis. Thus, intracellular microbiota abundance in neuroblastoma regulates intracellular signals to affect patients' survival.

Combination of myeloproliferative neoplasm driver gene activation with mutations of splice factor or epigenetic modifier genes increases risk of rapid blastic progression.

OBJECTIVES: Myeloproliferative neoplasms (MPN) comprising polycythemia vera (PV), essential thrombocythemia (ET) and primary myelofibrosis (PMF) follow a bi-phasic course of disease with fibrotic and/or blastic progression. At presentation in the chronic phase, currently there are only insufficient tools to predict the risk of progression in individual cases. METHODS: In this study, chronic phase MPN (16 PMF, 11 PV, and 11 MPN unclassified) with blastic transformation during course of disease (n = 38, median follow-up 5.3 years) were analyzed by high-throughput sequencing. MPN cases with a comparable follow-up period and without evidence of blast increase served as control (n = 63, median follow-up 5.8 years). RESULTS: Frequent ARCH/CHIP-associated mutations (TET2, ASXL1, DNMT3A) found at presentation were not significantly associated with blastic transformation. By contrast, mutations of SRSF2, U2AF1, and IDH1/2 at first presentation were frequently observed in the progression cohort (13/38, 34.2%) and were completely missing in the control group without blast transformation during follow-up (P = .0007 for SRSF2; P = .0063 for U2AF1 and IDH1/2). CONCLUSION: Unlike frequent ARCH/CHIP alterations (TET2, ASXL1, DNMT3A), mutations in SRSF2, IDH1/2, and U2AF1 when manifest already at first presentation provide an independent risk factor for rapid blast transformation of MPN.

A Journey through Genetic Architecture and Predisposition of Coronary Artery Disease.

INTRODUCTION: To halt the spread of coronary artery disease (CAD), the number one killer in the world, requires primary prevention. Fifty percent of all Americans are expected to experience a cardiac event; the challenge is identifying those at risk. 40 to 60% of predisposition to CAD is genetic. The first genetic risk variant, 9p21, was discovered in 2007. Genome-Wide Association Studies has since discovered hundreds of genetic risk variants. The genetic burden for CAD can be expressed as a single number, Genetic Risk Score (GRS). Assessment of GRS to risk stratify for CAD was superior to conventional risk factors in several large clinical trials assessing statin therapy, and more recently in a population of nearly 500,000 (UK Biobank). Studies were performed based on prospective genetic risk stratification for CAD. These studies showed that a favorable lifestyle was associated with a 46% reduction in cardiac events and programmed exercise, a 50% reduction in cardiac events. Genetic risk score is superior to conventional risk factors, and is markedly attenuated by lifestyle changes and drug therapy. Genetic risk can be determined at birth or any time thereafter. CONCLUSION: Utilizing the GRS to risk stratify young, asymptomatic individuals could provide a paradigm shift in the primary prevention of CAD and significantly halt its spread.

Combined Utility of 25 Disease and Risk Factor Polygenic Risk Scores for Stratifying Risk of All-Cause Mortality.

While genome-wide association studies have identified susceptibility variants for numerous traits, their combined utility for predicting broad measures of health, such as mortality, remains poorly understood. We used data from the UK Biobank to combine polygenic risk scores (PRS) for 13 diseases and 12 mortality risk factors into sex-specific composite PRS (cPRS). These cPRS were moderately associated with all-cause mortality in independent data within the UK Biobank: the estimated hazard ratios per standard deviation were 1.10 (95% confidence interval: 1.05, 1.16) and 1.15 (1.10, 1.19) for women and men, respectively. Differences in life expectancy between the top and bottom 5% of the cPRS were estimated to be 4.79 (1.76, 7.81) years and 6.75 (4.16, 9.35) years for women and men, respectively. These associations were substantially attenuated after adjusting for non-genetic mortality risk factors measured at study entry (i.e., middle age for most participants). The cPRS may be useful in counseling younger individuals at higher genetic risk of mortality on modification of non-genetic factors.

Prediction and management of CAD risk based on genetic stratification.

Discovery of genetic risk variants for CAD and their assembly on a computerized microarray enables a genetic risk score (GRS) to be expressed as a single number. Utilizing this array, genetic risk stratification has been performed in over 1 million cases and controls. The genetic score based on one's DNA can be determined anytime from birth on and is independent of age and conventional risk factors. Utilizing the GRS, one can select those at highest risk and would benefit most from primary prevention. Clinical trials have shown that modifying lifestyle or using statin therapy reduces the risk for CAD by approximately 50%. The use of the GRS for primary prevention will have a transformative effect on preventing the spread of CAD.

Interleukin-1 genotypes modulate the long-term effect of lipoprotein(a) on cardiovascular events: The Ioannina Study.

BACKGROUND: Lipoprotein(a) [Lp(a)] is a genetic risk factor for cardiovascular disease (CVD), and proinflammatory interleukin-1 (IL-1) genotypes may influence Lp(a)-mediated CVD events. The genotype IL-1(+) is associated with higher rates of inflammation than IL-1(-) genotype. Targeting IL-1ß was recently shown to decrease CVD events independent of low-density lipoprotein-cholesterol levels. OBJECTIVE: The objective of the study is to assess the modulatory effect of IL-1 genotypes on risk mediated by Lp(a) METHODS: We assessed whether IL-1 genotypes modulate the effect of Lp(a) on major adverse cardiovascular events (cardiovascular death, myocardial infarction, and stroke/transient ischemic attack) and angiographically determined coronary artery disease (CAD). IL-1 genotypes and Lp(a) were measured in 603 patients without diabetes mellitus undergoing angiography. Major adverse cardiovascular events and CAD were assessed over a median of 45 months. RESULTS: In multivariable-adjusted analysis, Lp(a) was associated with major adverse cardiovascular events (hazard ratio [HR] [95% confidence interval {CI}]: 2.95 [1.16-7.54], P = .023) and CAD (odds ratio [OR] [95% CI]: 1.84 [1.12-3.03], P = .016) comparing quartile 4 vs quartile 1. In Cox regression analysis, IL-1(+) patients with Lp(a) above the median (>9.2 mg/dL) had a worse event-free cumulative survival (HR [95% CI]: 3.59 [1.07-12.03], P = .039) compared to IL-1(-) patients with Lp(a) below the median. In IL-1(+) patients aged ≤60 years, Lp(a) was also associated with angiographically determined CAD (OR [95% CI]: 2.90 [1.07-7.86], P = .036) comparing quartile 4 vs quartile 1 but not IL-1(-) patients. CONCLUSION: Proinflammatory IL-1(+) genotypes modulate the risk of Lp(a) long-term CVD events and CAD. These data suggest that the dual genetic contributions of elevated Lp(a) levels and IL-1(+) genotypes may identify younger subjects at particularly high risk for CVD events.

Pro-inflammatory interleukin-1 genotypes potentiate the risk of coronary artery disease and cardiovascular events mediated by oxidized phospholipids and lipoprotein(a).

OBJECTIVES: The aim of this study was to assess the influence of pro-inflammatory interleukin (IL)-1 genotype status on the risk for coronary artery disease (CAD), defined as >50% diameter stenosis, and cardiovascular events mediated by oxidized phospholipids (OxPLs) and lipoprotein (Lp) (a). BACKGROUND: OxPLs are pro-inflammatory, circulate on Lp(a), and mediate CAD. Genetic variations in the IL-1 region are associated with increased inflammatory mediators. METHODS: IL-1 genotypes, OxPL on apolipoprotein B-100 (OxPL/apoB), and Lp(a) levels were measured in 499 patients undergoing coronary angiography. The composite genotype termed IL-1(+) was defined by 3 single-nucleotide polymorphisms in the IL-1 gene cluster associated with higher levels of pro-inflammatory cytokines. All other IL-1 genotypes were termed IL-1(-). RESULTS: Among IL-1(+) patients, the highest quartile of OxPL/apoB was significantly associated with a higher risk for CAD compared with the lowest quartile (odds ratio [OR]: 2.84; p = 0.001). This effect was accentuated in patients age ≤60 years (OR: 7.03; p < 0.001). In IL-1(-) patients, OxPL/apoB levels showed no association with CAD. The interaction was significant for OxPL/apoB (OR: 1.99; p = 0.004) and Lp(a) (OR: 1.96; p < 0.001) in the IL-1(+) group versus the IL-1(-) group in patients age ≤60 years but not in those age >60 years. In IL-1(+) patients age ≤60 years, after adjustment for established risk factors, high-sensitivity C-reactive protein, and Lp(a), OxPL/apoB remained an independent predictor of CAD. IL-1(+) patients above the median OxPL/apoB presented to the cardiac catheterization laboratory a mean of 3.9 years earlier (p = 0.002) and had worse 4-year event-free survival (death, myocardial infarction, stroke, and need for revascularization) compared with other groups (p = 0.006). CONCLUSIONS: Our study suggests that IL-1 genotype status can stratify population risk for CAD and cardiovascular events mediated by OxPL. These data suggest a clinically relevant biological link between pro-inflammatory IL-1 genotype, oxidation of phospholipids, Lp(a), and genetic predisposition to CAD and cardiovascular events.