Publications by authors named "M Fitzgibbon"

Purpose: The prevalence of obesity, a crucial risk factor for breast cancer, is markedly higher among Hispanic women. The interaction between ethnic enclaves and neighborhood socioeconomic status (SES) as a determinant of this disparity warrants further research. We aimed to identify neighborhood profiles based on ethnic enclaves and socioeconomic status to evaluate the association with obesity among Hispanic women in the metropolitan Chicago region.

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Background: Despite its known superior diagnostic yield for chromosomal anomalies compared with karyotype and fluorescence in situ hybridization (FISH) studies, chromosome genomic array testing (CGAT) is not used as a routine clinical test for myelofibrosis. Although many prognostic systems exist that risk stratify patients at diagnosis, limited tools are available to prognosticate transplant outcome.

Objective: The current study aimed at testing whether CGAT results obtained before transplantation improves prognosis of post-transplant outcome in patients with myelofibrosis compared with current risk categorization systems, for example, DIPSS plus (Dynamic International Prognostic Scoring System).

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Introduction: Acute myeloid leukemia (AML) remains one of the deadliest hematopoietic malignancies. A better understanding of the molecular biology governing AML may lead to improved risk stratification and facilitate the development of novel therapies. Proteins are responsible for much of the biology of cells.

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Whole genome sequencing-based methodologies have become extremely relevant for the molecular surveillance of human pathogens and are being increasingly introduced into national reference laboratory services. In this study, we describe the validation and implementation of core-genome Multi-Locus Sequence Typing (cgMLST) and whole genome single-nucleotide polymorphism (wgSNP) analysis at the Irish Mycobacteria Reference Laboratory, as a replacement for Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem Repeat (MIRU-VNTR) typing. Concordance of clustering, discriminatory power, and ease-of-use of both WGS analytical methods were evaluated.

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