Biomedical subjects

Matthew P Fitzgibbon

Publications and source records attributed to Matthew P Fitzgibbon.

2 recordsLinked to original sources

PubMed2026

Prognostic impact of age and MDS-associated mutations in NPM1-mutated AML.

Nucleophosmin-1 (NPM1) mutations define a major molecular subtype of acute myeloid leukemia (AML) and is generally associated with favorable prognosis. However, the impact of myelodysplastic syndrome-associated mutations (MDSm+) on patient outcomes within this subgroup remains uncertain. We retrospectively analyzed 271 patients with NPM1-mutated AML from 3 independent cohorts (SWOG, Fred Hutch, and Beat AML) to assess the prognostic significance of MDSm+ and its interaction with age. MDSm+ occurred in 17% of patients, most commonly involving SRSF2 and SF3B1. Although MDSm+ was associated with inferior overall survival (OS) compared with MDSm- in European LeukemiaNet (ELN) 2022 favorable-risk patients (hazard ratio [HR], 2.0; P = .008), this effect was largely driven by worse outcomes in older patients (≥65 years) as older ELN2022 favorable-risk patients had poor OS regardless of the presence of MDSm+ compared with younger patients. After stratification of patients by age, there was not a significant difference between MDSm+ and MDSm- in either younger patients (HR, 0.99; P = .98) or older patients (HR, 1.42; P = .33). These findings indicate that MDSm+ in NPM1 + AML is not independently associated with adverse risk after adjusting for age, and highlight the need for age-adjusted AML risk models.

Journal Article↗

PubMed2006

A statistical method for chromatographic alignment of LC-MS data.

Integrated liquid-chromatography mass-spectrometry (LC-MS) is becoming a widely used approach for quantifying the protein composition of complex samples. The output of the LC-MS system measures the intensity of a peptide with a specific mass-charge ratio and retention time. In the last few years, this technology has been used to compare complex biological samples across multiple conditions. One challenge for comparative proteomic profiling with LC-MS is to match corresponding peptide features from different experiments. In this paper, we propose a new method--Peptide Element Alignment (PETAL) that uses raw spectrum data and detected peak to simultaneously align features from multiple LC-MS experiments. PETAL creates spectrum elements, each of which represents the mass spectrum of a single peptide in a single scan. Peptides detected in different LC-MS data are aligned if they can be represented by the same elements. By considering each peptide separately, PETAL enjoys greater flexibility than time warping methods. While most existing methods process multiple data sets by sequentially aligning each data set to an arbitrarily chosen template data set, PETAL treats all experiments symmetrically and can analyze all experiments simultaneously. We illustrate the performance of PETAL on example data sets.

Animals↗