Survival from tumours of the central nervous system in Danish children: Is survival related to family circumstances?

Int J Cancer

Section of Environment and Radiation, International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, Lyon, 69372, France.

Published: February 2018

Little is known about social inequalities in childhood cancer survival. We investigated the impact of family circumstances on survival from paediatric central nervous system (CNS) tumours in a nationwide, register-based cohort of Danish children. All children born between 1973 and 2006 and diagnosed with a CNS tumour before the age of 20 years (N = 1,261) were followed until 10 years from diagnosis. Using Cox proportional hazards models, the impact of various family characteristics on overall survival was estimated. Hazard ratios (HRs) for all CNS tumours combined did not show strong associations between survival and any family characteristic. Analyses by CNS tumour subtypes showed reduced survival for children with glioma when living outside of Copenhagen (HR 1.55; CI 1.03; 2.35). For embryonal CNS tumours, the number of full siblings was associated with worse survival (HR for having 3+ siblings 3.60; CI 1.52; 8.53) and a trend of better survival was observed for children with parents of younger age at child's diagnosis and poorer survival of children with parents of older age. Despite free and uniform access to health care services, some family circumstances appear to affect survival from specific CNS tumour types in Danish children. Further research is warranted to gain a more comprehensive understanding of the impact of family factors on childhood cancer survival in other populations and to elaborate underlying mechanisms and pathways of those survival inequalities observed.

Download full-text PDF

Source
http://dx.doi.org/10.1002/ijc.31082DOI Listing

Publication Analysis

Top Keywords

survival
13
danish children
12
impact family
12
cns tumours
12
cns tumour
12
central nervous
8
nervous system
8
survival family
8
childhood cancer
8
cancer survival
8

Similar Publications

Background: Central nervous system (CNS) tumors lead to cancer-related mortality in children. Genetic ancestry-associated cancer prevalence and outcomes have been studied, but is limited.

Methods: We performed genetic ancestry prediction in 1,452 pediatric patients with paired normal and tumor whole genome sequencing from the Open Pediatric Cancer (OpenPedCan) project to evaluate the influence of reported race and ethnicity and ancestry-based genetic superpopulations on tumor histology, molecular subtype, survival, and treatment.

View Article and Find Full Text PDF

Schizophrenia and retention in HIV care among adults insured through Medicaid in the United States: a population-based retrospective cohort study.

J Acquir Immune Defic Syndr

January 2025

Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California-San Francisco, School of Medicine, San Francisco, California 675 18th Street, San Francisco, CA 94107.

Background: People with schizophrenia spectrum disorders are at elevated risk of HIV, and people with both HIV and schizophrenia are at elevated risk of death compared to individuals with either diagnosis alone. Limited research has assessed the HIV care cascade, and in particular retention in care, among people with HIV (PWH) and schizophrenia in the U.S.

View Article and Find Full Text PDF

Bacterial spores are highly resilient and capable of surviving extreme conditions, making them a persistent threat in contexts such as disease transmission, food safety, and bioterrorism. Their ability to withstand conventional sterilization methods necessitates rapid and accurate detection techniques to effectively mitigate the risks they present. In this study, we introduce a surface-enhanced Raman spectroscopy (SERS) approach for detecting spores by targeting calcium dipicolinate acid (CaDPA), a biomarker uniquely associated with bacterial spores.

View Article and Find Full Text PDF

Objective: This study aims to explore the role of exosome-related genes in breast cancer (BRCA) metastasis by integrating RNA-seq and single-cell RNA-seq (scRNA-seq) data from BRCA samples and to develop a reliable prognostic model.

Methods: Initially, a comprehensive analysis was conducted on exosome-related genes from the BRCA cohort in The Cancer Genome Atlas (TCGA) database. Three prognostic genes (JUP, CAPZA1 and ARVCF) were identified through univariate Cox regression and Lasso-Cox regression analyses, and a metastasis-related risk score model was established based on these genes.

View Article and Find Full Text PDF

Background: Efficient emergency patient transport systems, which are crucial for delivering timely medical care to individuals in critical situations, face certain challenges. To address this, CONNECT-AI (CONnected Network for EMS Comprehensive Technical-Support using Artificial Intelligence), a novel digital platform, was introduced. This artificial intelligence (AI)-based network provides comprehensive technical support for the real-time sharing of medical information at the prehospital stage.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!