A comprehensive framework for cancer surveillance should span the entire lifespan and be capable of providing information on risk, burden, disparity, cost, cancer care, survival, and death. Cancer incidence, the point in the continuum when an individual is diagnosed with cancer, has a strong, well-developed system to produce information about newly diagnosed cancer cases. However, in the future, this system must be enhanced and integrated with other cancer surveillance networks and other systems to provide timely information on the burden of newly diagnosed patients with respect to various cross-cutting population characteristics (e.g., social, economic, race/ethnic, urbanicity, or access to care) to define, monitor, and reduce incidence and various disparities noted among population groups. Collaboration in data collection, standard setting, surveillance activities, research, education and training, data use, and advocacy among all registries and national programs will be important to the continued success of the cancer incidence surveillance system. The cancer registry is an integral part of the infrastructure to reduce the burden of cancer, including the numbers of newly diagnosed cases.
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http://dx.doi.org/10.1023/a:1025667524781 | DOI Listing |
Front Biosci (Landmark Ed)
January 2025
Department of Surgery, Laboratory of Tumor Immunology and Immunotherapy, Morehouse School of Medicine, Atlanta, GA 30310, USA.
Immunology advances have increased our understanding of autoimmune, auto-inflammatory, immunodeficiency, infectious, and other immune-mediated inflammatory diseases (IMIDs). Furthermore, evidence is growing for the immune involvement in aging, metabolic and neurodegenerative diseases, and different cancers. However, further research has indicated sex/gender-based immune differences, which further increase higher incidences of various autoimmune diseases (AIDs), such as systemic lupus erythematosus (SLE), myasthenia gravis, and rheumatoid arthritis (RA) in females.
View Article and Find Full Text PDFRadiat Res
January 2025
Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota.
Variable relative biological effectiveness (RBE) of carbon radiotherapy may be calculated using several models, including the microdosimetric kinetic model (MKM), stochastic MKM (SMKM), repair-misrepair-fixation (RMF) model, and local effect model I (LEM), which have not been thoroughly compared. In this work, we compared how these four models handle carbon beam fragmentation, providing insight into where model differences arise. Monoenergetic and spread-out Bragg peak carbon beams incident on a water phantom were simulated using Monte Carlo.
View Article and Find Full Text PDFJ Integr Neurosci
January 2025
Department of Radiology, Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou University, 313000 Huzhou, Zhejiang, China.
Background: Glioma is the most common malignancy in the central nervous system. Even with optimal therapies, glioblastoma (the most aggressive form of glioma) is incurable, with only 26.5% of patients having a 2-year survival rate.
View Article and Find Full Text PDFNord J Psychiatry
January 2025
Department of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland.
Purpose: Attention-deficit hyperactivity disorder (ADHD) is a common neurodevelopmental condition that affects approximately 5% of the pediatric population, with increased prevalence among those with type 1 diabetes (T1D). Reports suggest that unrecognized and untreated ADHD impairs T1D control and that ADHD may be underdiagnosed in the Polish population. The International Society for Pediatric and Adolescent Diabetes recommends neurodevelopmental assessments in children with T1D, but specific guidelines on procedures and implementation are lacking.
View Article and Find Full Text PDFInt J Cancer
January 2025
Inequalities in Cancer Outcomes Network (ICON) group, Department of Health Services Research and Policy, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.
We aimed to investigate socio-economic inequalities in second primary cancer (SPC) incidence among breast cancer survivors. Using Data from cancer registries in England, we included all women diagnosed with a first primary breast cancer (PBC) between 2000 and 2018 and aged between 18 and 99 years and followed them up from 6 months after the PBC diagnosis until a SPC event, death, or right censoring, whichever came first. We used flexible parametric survival models adjusting for age and year of PBC diagnosis, ethnicity, PBC tumour stage, comorbidity, and PBC treatments to model the cause-specific hazards of SPC incidence and death according to income deprivation, and then estimated standardised cumulative incidences of SPC by deprivation, taking death as the competing event.
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