Genetic analysis of Pitx2 in left -right asymmetry and cardiovascular development

Pitx2, a paired-related homeobox gene that is mutated in human Rieger Syndrome, plays a key role in transferring the early asymmetric signals to individual organs. Pitx2 encodes three isoforms, Pitx2a, Pitx2b and Pitx2c. I found that Pitx2c was the Pitx2 isoform for regulating left-right asymmetry in heart, lung and the predominant isoform in guts. Previous studies suggested that the generation of left-right asymmetry within individual organs is an all or none, random event. Phenotypic analysis of various Pitx2 allelic combinations, that encode graded levels of Pitx2c, reveals an organ-intrinsic mechanism for regulating left-right asymmetric morphogenesis based on differential response to Pitx2c levels. The heart needs low Pitx2c levels, while the lungs and duodenum require higher doses of Pitx2c. In addition, the duodenal rotation is under strict control of Pitx2c activity. Left-right asymmetry development for aortic arch arteries involves complex vascular remodeling. Left-sided expression of Pitx2c in these developing vessels implied its potential function in this process. In order to determine if Pitx2c also can regulate the left-right asymmetry of the aortic arch arteries, a Pitx2c-specific loss of function mutation is generated. Although in wild type mice, the direction of the aortic arch is always oriented toward the left side, the directions of the aortic arches in the mutants were randomized, showing that Pitx2c also determined the left-right asymmetry of these vessels. I have further showed that the cardiac neural crest wasn't involved in this vascular remodeling process. In addition, all mutant embryos had Double Outlet Right Ventricle (DORV), a common congenital heart disease. This study provided insight into the mechanism of Pitx2c-mediated late stages of left-right asymmetry development and identified the roles of Pitx2c in regulation of aortic arch remodeling and heart development. ^

Left, right and interval bivariate censored data: Evaluating screening mammography in the presence of lead -time bias, length bias and over-detection

Of the large clinical trials evaluating screening mammography efficacy, none included women ages 75 and older. Recommendations on an upper age limit at which to discontinue screening are based on indirect evidence and are not consistent. Screening mammography is evaluated using observational data from the SEER-Medicare linked database. Measuring the benefit of screening mammography is difficult due to the impact of lead-time bias, length bias and over-detection. The underlying conceptual model divides the disease into two stages: pre-clinical (T0) and symptomatic (T1) breast cancer. Treating the time in these phases as a pair of dependent bivariate observations, (t0,t1), estimates are derived to describe the distribution of this random vector. To quantify the effect of screening mammography, statistical inference is made about the mammography parameters that correspond to the marginal distribution of the symptomatic phase duration (T1). This shows the hazard ratio of death from breast cancer comparing women with screen-detected tumors to those detected at their symptom onset is 0.36 (0.30, 0.42), indicating a benefit among the screen-detected cases. ^