Due to the differences in the definition, criteria of inclusion and coding of urothelial tumours (UTs), data of different cancer registries (CRs) are not comparable. The aim of this work is to study ...current practices of registration of UT in the European CR of the GRELL countries in order to propose new registration rules to correctly describe incidence and survival of progressive tumours like UT. A questionnaire was sent to 91 CRs to assess whether non-invasive (NI)UT, multiple UTs, UTs occurring outside or before the operating period and time between UTs are currently considered in tumour recording and reporting. All participating CRs (
= 42) record a NI bladder UT in sole occurrence. In case of progressive bladder UT, 98% of the CRs record at least one NIUT but 19% don't record the invasive progression. 17% of the CRs don't record an invasive pelvic tumour that occurs after a NI bladder UT. 19% of the CRs don't record an invasive bladder UT that followed a NI tumour occurring outside the zone or period of time. The recording of two synchronous UTs is carried out with a grouping topography for 36% of the CRs. The same analysis conducted on the reporting of the incidence of UT also shows heterogeneity. We conclude that there is an urgent need to define clear rules for the registration of UT.
Recently, it has been demonstrated that Silicon Carbide (SiC) membranes can be used in quantum sensing and MEMS applications. One of the important steps for the production of such membranes is the ...removal of the substrate material in order to form membranes of micron or submicron thicknesses confining the active regions of fabricated devices to the high quality, doped controlled, epitaxial layers. Moreover, optical components such as Fabry-Pérot cavities and photonic crystals require membranes with smooth surfaces with roughnesses down to the nanometer scale. We report on the development of doping-selective electrochemical processes for the etching of SiC and investigate the creation of such membranes, including the path towards thinner and smoother layers for improved performance. We demonstrate that the resulting roughness of membranes is substantially reduced by novel lithographic patterning and ion beam etching (IBE) procedures to RMS values down to 6 nm.
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Mortality from cardiovascular disease (CVD), second tumours, and other causes is of clinical interest in the long-term follow-up of breast cancer (BC) patients. Using a cohort of BC patients (N = ...6758) from the cancer registries of Girona and Tarragona (north-eastern Spain), we studied the 10-year probabilities of death due to BC, other cancers, and CVD according to stage at diagnosis and hormone receptor (HR) status. Among the non-BC causes of death (N = 720), CVD (N = 218) surpassed other cancers (N = 196). The BC cohort presented a significantly higher risk of death due to endometrial and ovarian cancers than the general population. In Stage I, HR- patients showed a 1.72-fold higher probability of all-cause death and a 6.11-fold higher probability of breast cancer death than HR+ patients. In Stages II-III, the probability of CVD death (range 3.11% to 3.86%) surpassed that of other cancers (range 0.54% to 3.11%). In Stage IV patients, the probability of death from any cancer drove the mortality risk. Promoting screening and preventive measures in BC patients are warranted, since long-term control should encompass early detection of second neoplasms, ruling out the possibility of late recurrence. In patients diagnosed in Stages II-III at an older age, surveillance for preventing late cardiotoxicity is crucial.
•A huge variation of PTC incidence was observed across European countries.•Recent PTC epidemic is not affecting the incidence of the rarest thyroid cancers.•Medullary and anaplastic thyroid cancer ...are distinct cancer entities with own epidemiological profile.
Limited information is available on the incidence of rare thyroid cancer (TC) subtypes: anaplastic (ATC) and medullary (MTC). The aim of this study was to describe incidence variations and trends across European countries of all TC subtypes.
We used the RARECAREnet database including 80721 TC incident cases in the period 2000–2007 from 77 population-based cancer registries (CRs) in Europe. In the trend analyses, we included 68890 TC cases from 53 CRs with at least 6 years of incidence data in the years 2000–2007.
In Europe age-standardised incidence rates (ASR) in women were <0.3/100,000 for MTC and ATC whereas ASR were 5.3/100,000 for papillary thyroid cancer (PTC) and 1.1/100,000 for follicular TC (FTC). Corresponding ASRs in men were <0.2/100,000 for MTC and ATC, 1.5 for PTC and 0.4 for FTC. Across countries and in both sexes the incidence of FTC and MTC was moderately correlated (r ~ 0.5) with that of PTC, while a less marked correlation (r < 0.4) emerged for ATC ASRs. The changes of the PTC ASRs across countries and time were weakly (r < 0.3) or moderately (r ~ 0.5) correlated to the changes of the other subtypes for both sexes.
The huge increase and heterogeneity between countries of PTC incidence has a small influence on the trends and variations of MTC and ATC in Europe. Large-scale epidemiological and clinical registry-based studies are warranted to increase knowledge about the rarest TC subtypes. This information would be fundamental for the design of new clinical trials and for inference.
•ModGraProDep addresses missing data and small sample size issues in survival analysis.•It provides 4 models which could outperform useful algorithms for these issues.•It also allows for identifying ...probability dependencies between variables.•Saturated models should be discarded for any imputation/data simulation task.
Two common issues may arise in certain population-based breast cancer (BC) survival studies: I) missing values in a survivals’ predictive variable, such as “Stage” at diagnosis, and II) small sample size due to “imbalance class problem” in certain subsets of patients, demanding data modeling/simulation methods.
We present a procedure, ModGraProDep, based on graphical modeling (GM) of a dataset to overcome these two issues. The performance of the models derived from ModGraProDep is compared with a set of frequently used classification and machine learning algorithms (Missing Data Problem) and with oversampling algorithms (Synthetic Data Simulation). For the Missing Data Problem we assessed two scenarios: missing completely at random (MCAR) and missing not at random (MNAR). Two validated BC datasets provided by the cancer registries of Girona and Tarragona (northeastern Spain) were used.
In both MCAR and MNAR scenarios all models showed poorer prediction performance compared to three GM models: the saturated one (GM.SAT) and two with penalty factors on the partial likelihood (GM.K1 and GM.TEST). However, GM.SAT predictions could lead to non-reliable conclusions in BC survival analysis. Simulation of a “synthetic” dataset derived from GM.SAT could be the worst strategy, but the use of the remaining GMs models could be better than oversampling.
Our results suggest the use of the GM-procedure presented for one-variable imputation/prediction of missing data and for simulating “synthetic” BC survival datasets. The “synthetic” datasets derived from GMs could be also used in clinical applications of cancer survival data such as predictive risk analysis.
Breast cancer (BC) is globally the most frequent cancer in women. Adherence to endocrine therapy (ET) in hormone-receptor-positive BC patients is active and voluntary for the first five years after ...diagnosis. This study examines the impact of adherence to ET on 10-year excess mortality (EM) in patients diagnosed with Stages I to III BC (N = 2297). Since sample size is an issue for estimating age- and stage-specific survival indicators, we developed a method, ComSynSurData, for generating a large synthetic dataset (SynD) through probabilistic graphical modeling of the original cohort. We derived population-based survival indicators using a Bayesian relative survival model fitted to the SynD. Our modeling showed that hormone-receptor-positive BC patients diagnosed beyond 49 years of age at Stage I or beyond 59 years at Stage II do not have 10-year EM if they follow the prescribed ET regimen. This result calls for developing interventions to promote adherence to ET in patients with hormone receptor-positive BC and in turn improving cancer survival. The presented methodology here demonstrates the potential use of probabilistic graphical modeling for generating reliable synthetic datasets for validating population-based survival indicators when sample size is an issue.
Lung cancer remains one the most common cancers in Europe and ranks first in terms of cancer mortality in both sexes. Incidence rates vary by region and depend above all on the prevalence of tobacco ...consumption. In this study we describe recent trends in lung cancer incidence by sex, age and histological type in Catalonia and project changes according to histology by 2025. Bayesian age-period-cohort models were used to predict trends in lung cancer incidence according to histological type from 2012 to 2025, using data from the population-based Catalan cancer registries. Data suggest a decrease in the absolute number of new cases in men under the age of 70 years and an increase in women aged 60 years or older. Adenocarcinoma was the most common type in both sexes, while squamous cell carcinoma and small cell carcinoma were decreasing significantly among men. In both sexes, the incident cases increased by 16% for patients over 70 years. Increases in adenocarcinoma and rising incidence in elderly patients suggest the need to prioritize strategies based on multidisciplinary teams, which should include geriatric specialists.
Ovarian cancer is the most lethal gynaecological cancer in very-high-human-development-index regions. Ovarian cancer incidence and mortality rates are estimated to globally rise by 2035, although ...incidence and mortality rates depend on the region and prevalence of the associated risk factors. The aim of this study is to assess changes in incidence and mortality of ovarian cancer in Catalonia by 2030. Bayesian autoregressive age-period-cohort models were used to predict the burden of OC incidence and mortality rates for the 2015-2030 period. Incidence and mortality rates of ovarian cancer are expected to decline in Catalonia by 2030 in women ≥ 45 years of age. A decrease in ovarian-cancer risk was observed with increasing year of birth, with a rebound in women born in the 1980s. A decrease in mortality was observed for the period of diagnosis and period of death. Nevertheless, ovarian-cancer mortality remains higher among older women compared to other age groups. Our study summarizes the most plausible scenario for ovarian-cancer changes in terms of incidence and mortality in Catalonia by 2030, which may be of interest from a public health perspective for policy implementation.
We show how the use and interpretation of population-based cancer survival indicators can help oncologists talk with breast cancer (BC) patients about the relationship between their prognosis and ...their adherence to endocrine therapy (ET). The study population comprised a population-based cohort of estrogen receptor positive BC patients (N = 1268) diagnosed in Girona and Tarragona (Northeastern Spain) and classified according to HER2 status (+ / -), stage at diagnosis (I/II/III) and five-year cumulative adherence rate (adherent > 80%; non-adherent ≤ 80%). Cox regression analysis was performed to identify significant prognostic factors for overall survival, whereas relative survival (RS) was used to estimate the crude probability of death due to BC (P
). Stage and adherence to ET were the significant factors for predicting all-cause mortality. Compared to stage I, risk of death increased in stage II (hazard ratio HR 2.24, 95% confidence interval CI: 1.51-3.30) and stage III (HR 5.11, 95% CI 3.46-7.51), and it decreased with adherence to ET (HR 0.57, 95% CI 0.41-0.59). P
differences were higher in non-adherent patients compared to adherent ones and increased across stages: stage I: 6.61% (95% CI 0.05-13.20); stage II: 9.77% (95% CI 0.59-19.01), and stage III: 22.31% (95% CI 6.34-38.45). The age-adjusted survival curves derived from this modeling were implemented in the web application BreCanSurvPred ( https://pdocomputation.snpstats.net/BreCanSurvPred ). Web applications like BreCanSurvPred can help oncologists discuss the consequences of non-adherence to prescribed ET with patients.
Comprehensive population-based data on myeloid neoplasms (MNs) are limited, mainly because some subtypes were not recognized as hematological cancers prior to the WHO publication in 2001, and others ...are too rare to allow robust estimates within regional studies. Herein, we provide incidence data of the whole spectrum of MNs in Spain during 2002-2013 using harmonized data from 13 population-based cancer registries. Cases (n = 17,522) were grouped following the HAEMACARE groupings and 2013-European standardized incidence rates (ASR
), incidence trends, and estimates for 2021 were calculated. ASR
per 100,000 inhabitants was 5.14 (95% CI: 5.00-5.27) for myeloproliferative neoplasms (MPN), 4.71 (95% CI: 4.59-4.84) for myelodysplastic syndromes (MDS), 3.91 (95% CI: 3.79-4.02) for acute myeloid leukemia, 0.83 (95% CI: 0.78-0.88) for MDS/MPN, 0.35 (95% CI: 0.32-0.39) for acute leukemia of ambiguous lineage, and 0.58 (95% CI: 0.53-0.62) for not-otherwise specified (NOS) cases. This study highlights some useful points for public health authorities, such as the remarkable variability in incidence rates among Spanish provinces, the increasing incidence of MPN, MDS, and MDS/MPN during the period of study, in contrast to a drop in NOS cases, and the number of cases expected in 2021 based on these data (8446 new MNs).