Pathway deregulation has been identified as a key driver of carcinogenesis, with proteins in signaling pathways serving as primary targets for drug development. Deregulation can be driven by a number of molecular events, including gene mutation, epigenetic changes in gene promoters, overexpression, and gene amplifications or deletions. We demonstrate a novel approach that identifies pathways of interest by integrating outlier analysis within and across molecular data types with gene set analysis. We use the results to seed the top-scoring pair algorithm to identify robust biomarkers associated with pathway deregulation. We demonstrate this methodology on pediatric acute myeloid leukemia (AML) data. We develop a biomarker in primary AML tumors, demonstrate robustness with an independent primary tumor data set, and show that the identified biomarkers also function well in relapsed pediatric AML tumors.
Background: Single-slice computed tomography (CT) body composition has been studied extensively for prognostication in patients with cancer. New software packages can also provide multi-slice volumetric measurements, but the clinical utility of these remains under explored. This study aimed to evaluate the agreement between single- and multi-slice body composition analyses in patients with oesophagogastric cancer and to explore the association between these measures and overall survival.
Frailty is an age-associated state of increased vulnerability due to declines in physiologic systems, leading to compromised ability to withstand stressors. Given India's rapidly aging population, our study aims to estimate the pooled prevalence of frailty and its associated factors in hospital settings. An extensive search was conducted across four databases, up to January 2024.
Background: Preterm birth, a significant global health concern, has been associated with alterations in the gut microbiota. However, the causal nature of this relationship remains uncertain due to the limitations inherent in observational studies.
Purpose: To investigate the potential causal relationship between gut microbiota imbalances and preterm birth.
Outlier detection is critical in statistical analysis and predictive modelling, but it is often overlooked in research, leading to potentially inaccurate conclusions. This study aimed to (1) assess the prevalence of outlier detection strategies in sport science publications, (2) examine the effect of outliers on statistical inference using general linear mixed-effects models with longitudinal data, and (3) evaluate the impact of outliers on regression predictive models using the same dataset. A systematic literature search of 4,622 articles published in 2023 in Q1 journals in "sport science" category found that only 9.
Background: Inductively coupled plasma mass spectrometry (ICP-MS) is widely used for the accurate measurement of minerals. However, its application to serum essential mineral measurement has not been fully evaluated. The present study aimed to assess the performance of ICP-MS for serum minerals by comparing its measurements to those obtained using standard quantification methods.
