Relative survival with the general population as the reference (RS) is commonly used to estimate net survival (NS). However, cancer patients may face an increased risk of non-cancer death compared to cancer-free individuals. We evaluate the impact of considering this relative risk (RR) on NS estimation.
View Article and Find Full Text PDFFront Oncol
July 2025
Background: Adolescents and young adults (AYA) cancer survivors experience increased morbidity and mortality from second cancers, cardiovascular, infectious, kidney, and other chronic diseases. We aim to calculate all-causes cancer and non-cancer excess mortality of young cancer survivors compared to the general population.
Methods: The AYA cohort includes cancer patients diagnosed between 1976 and 2013 and alive at 5 years after diagnosis in 30 population-based Cancer Registries and followed up until 31 December 2019.
Introduction: In Europe, cancer survival rates are high and improving for children (0-14 years) and AYAs (15-39 years). However, AYAs often have worse outcomes than children but better than adults. Using EUROCARE data, this study analyzes 5-year relative survival rates across age groups, highlighting age-specific differences and survival trends over time to address persistent disparities.
View Article and Find Full Text PDFBackground: Breast cancer (BC) is the most common malignancy in AYA (15-39 years) females and is more aggressive than in adult women (40-69 years). However, an updated overview on BC in AYAs and how it differs from BC in adult women is lacking.
Methods: We used data from the EUROCARE-6 study to calculate incidence rates (IRs) of BC in AYA and adult women over the period 2001-2013 in Europe.
Background: Adolescents and young adults (AYAs), aged 15-39, face unique challenges as cancer survivors, including long-term health issues treatment. This study applies a novel approach to estimate the relative risk (RR) of mortality from non-cancer causes in AYA cancer patients compared to the general population and the cure fraction (CF) for AYA patients.
Methods: Conventional and new mixture cure models with various parametric survival functions were applied to the most common AYA cancers.
Introduction: Globally, cancer cases are expected to significantly increase due to population growth and aging, reaching 29.9 million by 2040 (+49.5% since 2022) and 32.
View Article and Find Full Text PDFBackground: International variation in childhood cancer survival might be explained by differences in stage at diagnosis, among other factors. As part of the BENCHISTA project, we aimed to assess geographical variation in tumour stage at diagnosis through the application, by population-based cancer registries working with clinicians, of the international consensus Toronto Childhood Cancer Stage Guidelines.
Methods: This population-based, retrospective cohort study involved 67 cancer registries from 23 European countries, Australia, Brazil, Japan, and Canada.
Background: Epidemiological data for sarcoma in adolescents and young adults (AYAs) and across age groups are limited. We aim to: 1) update sarcoma incidence, survival, and changes over time in European AYAs; 2) provide an updated comparison of sarcoma survival in AYAs versus children and mature adults.
Methods: We calculated crude incidence rates (IR) per 100,000 European population per year from 2006 to 2013.
Background: Rare cancers correspond to approximately 200 clinical entities, which can be grouped into 12 families. Updated data are available for childhood and haematological cancers, ie, for only two of the 12 families of rare cancer. We provide incidence and survival for the remaining ten families of rare adult solid cancers (RAC), across 29 EU Member States and over time.
View Article and Find Full Text PDFJAMA Ophthalmol
October 2024
People alive many years after breast (BC) or colorectal cancer (CRC) diagnoses are increasing. This paper aimed to estimate the indicators of cancer cure and complete prevalence for Italian patients with BC and CRC by stage and age. A total of 31 Italian Cancer Registries (47% of the population) data until 2017 were included.
View Article and Find Full Text PDFBackground: We used the comprehensive definition of AYA (age 15 to 39 years) to update 5-year relative survival (RS) estimates for AYAs in Europe and across countries and to evaluate improvements in survival over time.
Methods: We used data from EUROCARE-6. We analysed 700,000 AYAs with cancer diagnosed in 2000-2013 (follow-up to 2014).
Background: Cancer survivors-people living with and beyond cancer-are a growing population with different health needs depending on prognosis and time since diagnosis. Despite being increasingly necessary, complete information on cancer prevalence is not systematically available in all European countries. We aimed to fill this gap by analysing population-based cancer registry data from the EUROCARE-6 study.
View Article and Find Full Text PDFBackground: Central nervous system (CNS) neoplasms are highly frequent solid tumours in children and adolescents. While some studies have shown a rise in their incidence in Europe, others have not. Survival remains limited.
View Article and Find Full Text PDFBackground: The head and neck cancers (HNCs) incidence differs between Europe and East Asia. Our objective was to determine whether survival of HNC also differs between European and Asian countries.
Methods: We used population-based cancer registry data to calculate 5-year relative survival (RS) for the oral cavity, hypopharynx, larynx, nasal cavity, and major salivary gland in Europe, Taiwan, and Japan.
Cancer Epidemiol Biomarkers Prev
December 2023
Background: To estimate risk of recurrence for women diagnosed with nonmetastatic breast cancer considering the risks of other causes mortality.
Methods: We extend a method based on the diagnosis-metastasis-death pathway to include risks of other causes mortality. We estimate three probabilities as cumulative incidence of: (i) being alive and recurrence-free, (ii) death for other causes before a recurrence, and (iii) recurrence.
Objectives: To describe the procedures to derive complete prevalence and several indicators of cancer cure from population-based cancer registries.
Materials And Methods: Cancer registry data (47% of the Italian population) were used to calculate limited duration prevalence for 62 cancer types by sex and registry. The incidence and survival models, needed to calculate the completeness index () and complete prevalence, were evaluated by likelihood ratio tests and by visual comparison.
Background: In Europe, as in other high-income (HI) countries, quite half of the newly diagnosed patients with head and neck (H and N) cancers are older than 65 years of age and their proportion within the prevalent cases is even higher. Moreover, the incidence rate (IR) for all H and N cancers sites increased with age and the survival rate is lower in older patients (≥65), compared with younger patients (<65). The number of older patients affected by H and N cancers will increase because of the increase in life expectancy.
View Article and Find Full Text PDFBackground: Non-cancer mortality in cancer patients may be higher than overall mortality in the general population due to a combination of factors, such as long-term adverse effects of treatments, and genetic, environmental or lifestyle-related factors. If so, conventional indicators may underestimate net survival and cure fraction. Our aim was to propose and evaluate a mixture cure survival model that takes into account the increased risk of non-cancer death for cancer patients.
View Article and Find Full Text PDFIntroduction: Care for head and neck cancers is complex in particular for the rare ones. Knowledge is limited and histological heterogeneity adds complexity to the rarity. There is a wide consensus that to support clinical research on rare cancer, clinical registries should be developed within networks specializing in rare cancers.
View Article and Find Full Text PDFBackground: A strong relationship has been observed between comorbidities and the risk of severe/fatal COVID-19 manifestations, but no score is available to evaluate their association in cancer patients. To make up for this lacuna, we aimed to develop a comorbidity score for cancer patients, based on the Lombardy Region healthcare databases.
Methods: We used hospital discharge records to identify patients with a new diagnosis of solid cancer between February and December 2019; 61 comorbidities were retrieved within 2 years before cancer diagnosis.