Complete cancer prevalence in Europe in 2020 by disease duration and country (EUROCARE-6): a population-based study.

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. METHODS: In this population-based study, using incidence and follow-up data up to Jan 1, 2013, from 61 cancer registries, complete and limited-duration prevalence by cancer type, sex, and age were estimated for 29 European countries and the 27 countries in the EU (EU27; represented by 22 member states that contributed registry data) using the completeness index method. We focused on 32 malignant cancers defined according to the third edition of the International Classification of Diseases for Oncology, and only the first primary tumour was considered when estimating the prevalence. Prevalence measures are expressed in terms of absolute number of prevalent cases, crude prevalence proportion (reported as percentage or cases per 100 000 resident people), and age-standardised prevalence proportion based on the European Standard Population 2013. We made projections of cancer prevalence proportions up to Jan 1, 2020, using linear regression. FINDINGS: In 2020, 23 711 thousand (95% CI 23 565-23 857) people (5·0% of the population) were estimated to be alive after a cancer diagnosis in Europe, and 22 347 thousand (95% CI 22 210-22 483) in EU27. Cancer survivors were more frequently female (12 818 thousand [95% CI 12 720-12 917]) than male (10 892 thousand [10 785-11 000]). The five leading tumours in female survivors were breast cancer, colorectal cancer, corpus uterine cancer, skin melanoma, and thyroid cancer (crude prevalence proportion from 2270 [95%CI 2248-2292] per 100 000 to 301 [297-305] per 100 000). Prostate cancer, colorectal cancer, urinary bladder cancer, skin melanoma, and kidney cancer were the most common tumours in male survivors (from 1714 [95% CI 1686-1741] per 100 000 to 255 [249-260] per 100 000). The differences in prevalence between countries were large (from 2 to 10 times depending on cancer type), in line with the demographic structure, incidence, and survival patterns. Between 2010 and 2020, the number of prevalent cases increased by 3·5% per year (41% overall), partly due to an ageing population. In 2020, 14 850 thousand (95% CI 14 681-15 018) people were estimated to be alive more than 5 years after diagnosis and 9099 thousand (8909-9288) people were estimated to be alive more than 10 years after diagnosis, representing an increasing proportion of the cancer survivor population. INTERPRETATION: Our findings are useful at the country level in Europe to support evidence-based policies to improve the quality of life, care, and rehabilitation of patients with cancer throughout the disease pathway. Future work includes estimating time to cure by stage at diagnosis in prevalent cases. FUNDING: European Commission.

A phase II/III randomized clinical trial of CisPlatin plUs Gemcitabine and Nabpaclitaxel (GAP) as pReoperative chemotherapy versus immediate resection in patIents with resecTable BiliarY Tract Cancers (BTC) at high risk for recurrence: PURITY study.

BACKGROUND: Biliary tract cancers (BTCs) are rare and lethal cancers, with a 5-year survival inferior to 20%(1-3). The only potential curative treatment is surgical resection. However, despite complex surgical procedures that have a remarkable risk of postoperative morbidity and mortality, the 5-year survival rate after radical surgery (R0) is 20-40% and recurrence rates are up to ~ 75%(4-6). Up to ~ 40% of patients relapse within 12 months after resection, and half of these patient will recur systemically(4-6). There is no standard of care for neoadjuvant chemotherapy (NAC) in resectable BTC, but retrospective reports suggest its potential benefit (7, 8). METHODS: PURITY is a no-profit, multicentre, randomized phase II/III trial aimed at evaluating the efficacy of the combination of gemcitabine, cisplatin and nabpaclitaxel (GAP) as neoadjuvant treatment in patients with resectable BTC at high risk for recurrence. Primary objective of this study is to evaluate the efficacy of neoadjuvant GAP followed by surgery as compared to upfront surgery, in terms of 12-month progression-free survival for the phase II part and of progression free survival (PFS) for the phase III study. Key Secondary objectives are event free survival (EFS), relapse-free survival, (RFS), overall survival (OS), R0/R1/R2 resection rate, quality of life (QoL), overall response rate (ORR), resectability. Safety analyses will include toxicity rate and perioperative morbidity and mortality rate. Exploratory studies including Next-Generation Sequencing (NGS) in archival tumor tissues and longitudinal ctDNA analysis are planned to identify potential biomarkers of primary resistance and prognosis. DISCUSSION: Considering the poor prognosis of resected BTC experiencing early tumor recurrence and the negative prognostic impact of R1/R2 resections, PURITY study is based on the rationale that NAC may improve R0 resection rates and ultimately patients' outcomes. Furthermore, NAC should allow early eradication of microscopic distant metastases, undetectable by imaging but already present at the time of diagnosis and avoid mortality and morbidity associated with resection for patients with rapid progression or worsening general condition during neoadjuvant therapy. The randomized PURITY study will evaluate whether patients affected by BTC at high risk from recurrence benefit from a neoadjuvant therapy with GAP regimen as compared to immediate surgery. TRIAL REGISTRATION: PURITY is registered at ClinicalTrials.gov (NCT06037980) and EuCT(2023-503295-25-00).

Sentinel Node Biopsy Alone or With Axillary Dissection in Breast Cancer Patients After Primary Chemotherapy: Long-Term Results of a Prospective Interventional Study.

OBJECTIVE: To ascertain, in cN0/1 breast cancer patients given primary chemotherapy followed by sentinel node biopsy (SNB), whether SNB alone is adequate axillary treatment if the sentinel nodes (SNs) are clear (pN0). SUMMARY BACKGROUND DATA: 2020 guidelines do not recommend SNB in most cN1 patients with clear SNs after primary chemotherapy because the high SNB false negative rate might lead to poorer outcomes. METHODS: We prospectively assigned SNB after primary chemotherapy to 353 consecutive cT2 cN0/1 patients, median age 47 years (range 22-76) treated from 2007 to 2015. If the SNs were pN0, patients generally received no further axillary treatment (SNB only); if the SNs were pN1, completion axillary dissection (AD) (SNB + AD) was usually performed. Primary outcomes were overall (OS) and disease-free (DFS) survival in SNB only versus SNB + AD patients, assessed by Kaplan-Meier and compared using log-rank test, with use of propensity scores to account for bias due to nonrandom assignment to SNB versus SNB + AD. RESULTS: Median follow-up was 108 months, interquartile range 66 to 136. OS and DFS did not differ significantly between the groups by propensity score- weighted comparison: 10-year OS 89% [95% confidence interval (CI): 81%- 99%] in SNB only patients versus 86% (95%CI: 78%-95%) in SNB + AD patients; 10-year DFS 79% (95%CI: 68%-92%) versus 69% (95%CI: 58%-81%). No SNB-only patient developed axillary failure. CONCLUSIONS: cT2 cN0/1 patients whose SNs are disease-free (pN0) after primary chemotherapy can be offered SNB (with no further axillary treatment if the SNs are negative), irrespective of axillary status beforehand, without affecting OS or DFS.

Water and Soil Pollution: Ecological Environmental Study Methodologies Useful for Public Health Projects. A Literature Review.

Health risks at population level may be investigated with different types of environmental studies depending on access to data and funds. Options include ecological studies, case-control studies with individual interviews and human sample analysis, risk assessment or cohort studies. Most public health projects use data and methodologies already available due to the cost of ad-hoc data collection. The aim of the article is to perform a literature review of environmental exposure and health outcomes with main focus on methodologies for assessing an association between water and/or soil pollutants and cancer. A systematic literature search was performed in May 2019 using PubMed. Articles were assessed by four independent reviewers. Forty articles were identified and divided into four groups, according to the data and methods they used, i.e.: (1) regression models with data by geographical area; (2) regression models with data at individual level; (3) exposure intensity threshold values for evaluating health outcome trends; (4) analyses of distance between source of pollutant and health outcome clusters. The issue of exposure assessment has been investigated for over 40 years and the most important innovations regard technologies developed to measure pollutants, statistical methodologies to assess exposure, and software development. Thanks to these changes, it has been possible to develop and apply geo-coding and statistical methods to reduce the ecological bias when considering the relationship between humans, geographic areas, pollutants, and health outcomes. The results of the present review may contribute to optimize the use of public health resources.

Automated classification of cancer morphology from Italian pathology reports using Natural Language Processing techniques: A rule-based approach.

Pathology reports represent a primary source of information for cancer registries. Hospitals routinely process high volumes of free-text reports, a valuable source of information regarding cancer diagnosis for improving clinical care and supporting research. Information extraction and coding of textual unstructured data is typically a manual, labour-intensive process. There is a need to develop automated approaches to extract meaningful information from such texts in a reliable and accurate way. In this scenario, Natural Language Processing (NLP) algorithms offer a unique opportunity to automatically encode the unstructured reports into structured data, thus representing a potential powerful alternative to expensive manual processing. However, notwithstanding the increasing interest in this area, there is still limited availability of NLP approaches for pathology reports in languages other than English, including Italian, to date. The aim of our work was to develop an automated algorithm based on NLP techniques, able to identify and classify the morphological content of pathology reports in the Italian language with micro-averaged performance scores higher than 95%. Specifically, a novel, domain-specific classifier that uses linguistic rules was developed and tested on 27,239 pathology reports from a single Italian oncological centre, following the International Classification of Diseases for Oncology morphology classification standard (ICD-O-M). The proposed classification algorithm achieved successful results with a micro-F1 score of 98.14% on 9594 pathology reports in the test dataset. This algorithm relies on rules defined on data from a single hospital that is specifically dedicated to cancer, but it is based on general processing steps which can be applied to different datasets. Further research will be important to demonstrate the generalizability of the proposed approach on a larger corpus from different hospitals.

Short-term survival after colorectal cancer in a screened versus unscreened population.

Aims: United States' (US) colorectal cancer (CRC) screening and treatment practices seek to reduce mortality. We examined the survival of US patients compared with patients in the virtually unscreened Norwegian population. Methods: We compared short-term survival after CRC between the US and Norway using relative survival (RS) and excess mortality (EMR) analyses. The CRC patients were aged 50 and older diagnosed in the US (Surveillance, Epidemiology and End Results registry, 2004, N=9511) and in Norway (Cancer Registry of Norway, 2003-2005, N=8256). Results: Death occurred within three years for 39% of the CRC patients. Stage distributions were more favorable for US patients. Stage-specific survival was similar for localized and regional cancers, but more favorable for US distant cancers. In multivariate models of patient, tumor and treatment characteristics, patients (especially below age 80) in the US experienced longer survival (EMR 0.9, CI 0.8-0.9). Stage-specific analyses showed, however, that survival for localized cancers was relatively shorter in the US than in Norway (EMR 1.4, CI 1.1-1.8), but longer for distant cancers (EMR 0.8, CI 0.7-0.8). Conclusions: The enhanced survival for US CRC patients likely reflects a screening-related earlier diagnostic stage distribution, as well as prioritized life extension for patients with metastatic cancers, reflecting vastly different health care systems in the two countries. CRC screening is currently under consideration in Norway. For survival outcomes, the current findings do not discourage such an implementation. Other screening-related aspects such as feasibility and cost-benefit are, however, also relevant and warrant further research within a socialized health system.

[Excess deaths for haematological tumours in Falconara Marittima (Marche Region, Central Italy): short story from the epidemiological survey up to now]. / EPICHANGE/3. Eccesso di morti per tumori ematologici a Falconara Marittima: breve storia dall'indagine epidemiologica a oggi.

API is a company refining petroleum products located in Falconara Marittima (Ancona Province, Marche Region, Central Italy). Thanks to the pressure made by citizens' committees, which considered the plant as a risk source for the population residing in the surroundings municipalities, Marche Region as institution asked for an epidemiological survey. This survey found a significative excess in deaths for haematological tumours in women and in a sub-group of retired and elderly. The results were published in one report and two scientific journals, and were also presented during a public meeting. It was urgent to made public health intervention, which were called for, but up to now nothing has been done. Here, the reconstruction of this affair, from the start of the epidemiological survey up to the more recent development in terms of public health.

Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study.

Obesity and metabolic syndrome are risk and prognostic factors for breast cancer (BC) and are associated with chronic inflammation. We investigated the association between distinct BC subtypes and markers of adiposity, dysmetabolisms, and inflammation. We analyzed 1779 patients with primary invasive BC treated at a single institution, for whom anthropometric and clinical-pathological data were archived. BC subtypes were classified by immunohistochemical staining of ER, PR, HER2, and Ki67, and their relations with the study markers were assessed by multinomial logistic regression. Adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated taking luminal A as reference. All subtypes more aggressive than luminal A were significantly more frequent in younger (<45 years) than older women. Before menopause, luminal B HER2-negative tumors were positively associated with large waist (OR 2.55, 95 % CI 1.53-4.24) and insulin resistance (OR 1.90, 95 % CI 1.05-3.41); luminal B HER2-positive tumors with large waist (OR 2.11, 95 % CI 1.03-4.35) and triple-negative tumors with overweight (OR 3.04, 95 % CI 1.43-6.43) and high C-reactive protein (p trend = 0.026). In postmenopausal women aged <65, luminal B HER2-negative (OR 1.94, 95 % CI 1.16-3.24) and luminal B HER2-positive tumors (OR 2.48, 95 % CI 1.16-5.27) were positively related with metabolic syndrome. Dysmetabolisms and inflammation may be related to different BC subtypes. Before menopause, triple-negative cancers were related to obesity and chronic inflammation, and aggressive luminal subtypes to abdominal adiposity. After menopause, in women aged <65 these latter subtypes were related to metabolic syndrome. Control of adiposity and dysmetabolism can reduce the risk of aggressive BC subtypes, improving the prognosis.

Time trends in axilla management among early breast cancer patients: Persisting major variation in clinical practice across European centers.

Background We examined time trends in axilla management among patients with early breast cancer in European clinical settings. Material and methods EUROCANPlatform partners, including population-based and cancer center-specific registries, provided routinely available clinical cancer registry data for a comparative study of axillary management trends among patients with first non-metastatic breast cancer who were not selected for neoadjuvant therapy during the last decade. We used an additional short questionnaire to compare clinical care patterns in 2014. Results Patients treated in cancer centers were younger than population-based registry populations. Tumor size and lymph node status distributions varied little between settings or over time. In 2003, sentinel lymph node biopsy (SLNB) use varied between 26% and 81% for pT1 tumors, and between 2% and 68% for pT2 tumors. By 2010, SLNB use increased to 79-96% and 49-92% for pT1 and pT2 tumors, respectively. Axillary lymph node dissection (ALND) use for pT1 tumors decreased from between 75% and 27% in 2003 to 47% and 12% in 2010, and from between 90% and 55% to 79% and 19% for pT2 tumors, respectively. In 2014, important differences in axillary management existed for patients with micrometastases only, and for patients fulfilling the ACOSOG Z0011 criteria for omitting ALND. Conclusion This study demonstrates persisting differences in important aspects of axillary management throughout the recent decade. The results highlight the need for international comparative patterns of care studies in oncology, which may help to identify areas where further studies and consensus building may be necessary.

Out-of-pocket costs for cancer survivors between 5 and 10 years from diagnosis: an Italian population-based study.

PURPOSE: To illustrate the out-of-pocket (OOP) costs incurred by a population-based group of patients from 5 to 10 years since their cancer diagnosis in a country with a nationwide public health system. METHODS: Interviews on OOP costs to a sample of 5-10 year prevalent cases randomly extracted from four population-based cancer registries (CRs), two in the north and two in the south of Italy. The patients' general practitioners (GPs) gave assurance about the patient's physical and psychological condition for the interview. A zero-inflated negative binomial model was used to analyze OOP cost determinants. RESULTS: Two hundred six cancer patients were interviewed (48 % of the original sample). On average, a patient in the north spent €69 monthly, against €244 in the south. The main differences are for transport, room, and board (TRB) to reach the hospital and/or the cancer specialist (north €0; south €119). Everywhere, OOP costs without TRB costs were higher for patients with a low quality of life. CONCLUSIONS: Despite the limited participation, our study sample's characteristics are similar to those of the Italian cancer prevalence population, allowing us to generalize the results. The higher OOP costs in the south may be due to the scarcity of oncologic structures, obliging patients to seek assistance far from their residence. Implications for cancer survivors Cancer survivors need descriptive studies to show realistic data about their status. Future Italian and European descriptive studies on cancer survivorship should be based on population CRs and involve GPs in order to approach the patient at best.

Potential health gains and health losses in eleven EU countries attainable through feasible prevalences of the life-style related risk factors alcohol, BMI, and smoking: a quantitative health impact assessment.

BACKGROUND: Influencing the life-style risk-factors alcohol, body mass index (BMI), and smoking is an European Union (EU) wide objective of public health policy. The population-level health effects of these risk-factors depend on population specific characteristics and are difficult to quantify without dynamic population health models. METHODS: For eleven countries-approx. 80 % of the EU-27 population-we used evidence from the publicly available DYNAMO-HIA data-set. For each country the age- and sex-specific risk-factor prevalence and the incidence, prevalence, and excess mortality of nine chronic diseases are utilized; including the corresponding relative risks linking risk-factor exposure causally to disease incidence and all-cause mortality. Applying the DYNAMO-HIA tool, we dynamically project the country-wise potential health gains and losses using feasible, i.e. observed elsewhere, risk-factor prevalence rates as benchmarks. The effects of the "worst practice", "best practice", and the currently observed risk-factor prevalence on population health are quantified and expected changes in life expectancy, morbidity-free life years, disease cases, and cumulative mortality are reported. RESULTS: Applying the best practice smoking prevalence yields the largest gains in life expectancy with 0.4 years for males and 0.3 year for females (approx. 332,950 and 274,200 deaths postponed, respectively) while the worst practice smoking prevalence also leads to the largest losses with 0.7 years for males and 0.9 year for females (approx. 609,400 and 710,550 lives lost, respectively). Comparing morbidity-free life years, the best practice smoking prevalence shows the highest gains for males with 0.4 years (342,800 less disease cases), whereas for females the best practice BMI prevalence yields the largest gains with 0.7 years (1,075,200 less disease cases). CONCLUSION: Smoking is still the risk-factor with the largest potential health gains. BMI, however, has comparatively large effects on morbidity. Future research should aim to improve knowledge of how policies can influence and shape individual and aggregated life-style-related risk-factor behavior.

Spatial variation in mortality risk for hematological malignancies near a petrochemical refinery: A population-based case-control study.

INTRODUCTION: The study investigated the geographic variation of mortality risk for hematological malignancies (HMs) in order to identify potential high-risk areas near an Italian petrochemical refinery. MATERIAL AND METHODS: A population-based case-control study was conducted and residential histories for 171 cases and 338 sex- and age-matched controls were collected. Confounding factors were obtained from interviews with consenting relatives for 109 HM deaths and 267 controls. To produce risk mortality maps, two different approaches were applied and compared. We mapped (1) adaptive kernel density relative risk estimation for case-control studies which estimates a spatial relative risk function using the ratio between cases and controls' densities, and (2) estimated odds ratios for case-control study data using Generalized Additive Models (GAMs) to smooth the effect of location, a proxy for exposure, while adjusting for confounding variables. RESULTS: No high-risk areas for HM mortality were identified among all subjects (men and women combined), by applying both approaches. Using the adaptive KDE approach, we found a significant increase in death risk only among women in a large area 2-6 km southeast of the refinery and the application of GAMs also identified a similarly-located significant high-risk area among women only (global p-value<0.025). Potential confounding risk factors we considered in the GAM did not alter the results. CONCLUSION: Both approaches identified a high-risk area close to the refinery among women only. Those spatial methods are useful tools for public policy management to determine priority areas for intervention. Our findings suggest several directions for further research in order to identify other potential environmental exposures that may be assessed in forthcoming studies based on detailed exposure modeling.

Cancer survival in Europe 1999-2007 by country and age: results of EUROCARE--5-a population-based study.

BACKGROUND: Cancer survival is a key measure of the effectiveness of health-care systems. EUROCARE-the largest cooperative study of population-based cancer survival in Europe-has shown persistent differences between countries for cancer survival, although in general, cancer survival is improving. Major changes in cancer diagnosis, treatment, and rehabilitation occurred in the early 2000s. EUROCARE-5 assesses their effect on cancer survival in 29 European countries. METHODS: In this retrospective observational study, we analysed data from 107 cancer registries for more than 10 million patients with cancer diagnosed up to 2007 and followed up to 2008. Uniform quality control procedures were applied to all datasets. For patients diagnosed 2000-07, we calculated 5-year relative survival for 46 cancers weighted by age and country. We also calculated country-specific and age-specific survival for ten common cancers, together with survival differences between time periods (for 1999-2001, 2002-04, and 2005-07). FINDINGS: 5-year relative survival generally increased steadily over time for all European regions. The largest increases from 1999-2001 to 2005-07 were for prostate cancer (73.4% [95% CI 72.9-73.9] vs 81.7% [81.3-82.1]), non-Hodgkin lymphoma (53.8% [53.3-54.4] vs 60.4% [60.0-60.9]), and rectal cancer (52.1% [51.6-52.6] vs 57.6% [57.1-58.1]). Survival in eastern Europe was generally low and below the European mean, particularly for cancers with good or intermediate prognosis. Survival was highest for northern, central, and southern Europe. Survival in the UK and Ireland was intermediate for rectal cancer, breast cancer, prostate cancer, skin melanoma, and non-Hodgkin lymphoma, but low for kidney, stomach, ovarian, colon, and lung cancers. Survival for lung cancer in the UK and Ireland was much lower than for other regions for all periods, although results for lung cancer in some regions (central and eastern Europe) might be affected by overestimation. Survival usually decreased with age, although to different degrees depending on region and cancer type. INTERPRETATION: The major advances in cancer management that occurred up to 2007 seem to have resulted in improved survival in Europe. Likely explanations of differences in survival between countries include: differences in stage at diagnosis and accessibility to good care, different diagnostic intensity and screening approaches, and differences in cancer biology. Variations in socioeconomic, lifestyle, and general health between populations might also have a role. Further studies are needed to fully interpret these findings and how to remedy disparities. FUNDING: Italian Ministry of Health, European Commission, Compagnia di San Paolo Foundation, Cariplo Foundation.

Risk of death for hematological malignancies for residents close to an Italian petrochemical refinery: a population-based case-control study.

PURPOSE: We investigated the risk of death for hematological malignancies (HMs) in the area surrounding an Italian petrochemical refinery, where atmospheric concentrations of benzene (known carcinogen) had not been adequately monitored in the past. METHODS: We performed a population-based case-control study, using conditional logistic regression to estimate odds ratios (ORs) of HM death, with 95 % confidence intervals (CIs), and p trends, in relation to tertiles of time-weighted average residential proximity to the refinery. We identified 177 HM deaths and 349 sex- and age-matched controls from municipal files. Confounding factors were investigated from interviews with consenting relatives for 109 HM deaths and 178 matched controls. RESULTS: For males and females combined, risk of HM death was unrelated to residential proximity. For females, ORs of HM death by increasing tertiles of proximity were 1, 2.74 (95 % CI 1.48-5.09, significant) and 1.49 (95 % CI 0.76-2.92) (p trend 0.184). For the subgroup of persons who plausibly spent most of their time at home (long-term retired, homemakers or unemployed, 53 cases, 79 controls), the ORs of leukemia plus non-Hodgkin lymphoma death (38 cases, 56 controls) by increasing tertiles of proximity were 1, 3.44 (95 % CI 1.04-11.37, significant) and 3.25 (95 % CI 0.82-12.87) (p trend 0.083). CONCLUSIONS: No increased risk of HM death for males and females combined living close to the refinery was found. However, the findings for females and a subgroup plausibly spending most of their time at home suggest a relation between increased risk of HM death and residential proximity to the refinery.

Availability of stage at diagnosis, cancer treatment delay and compliance with cancer guidelines as cancer registry indicators for cancer care in Europe: Results of EUROCHIP-3 survey.

EUROCHIP (European Cancer Health Indicators Project) focuses on understanding inequalities in the cancer burden, care and survival by the indicators "stage at diagnosis," "cancer treatment delay" and "compliance with cancer guidelines" as the most important indicators. Our study aims at providing insight in whether cancer registries collect well-defined variables to determine these indicators in a comparative way. Eighty-six general European population-based cancer registries (PBCR) from 32 countries responded to the questionnaire, which was developed by EUROCHIP in collaboration with ENCR (European Network of Cancer Registries) and EUROCOURSE. Only 15% of all the PBCR in EU had all three indicators available. The indicator "stage at diagnosis" was gathered for at least one cancer site by 81% (using TNM in 39%). Variables for the indicator "cancer treatment delay" were collected by 37%. Availability of type of treatment (30%), surgery date (36%), starting date of radiotherapy (26%) and starting date of chemotherapy (23%) resulted in 15% of the PBCRs to be able to gather the indicator "compliance to guidelines". Lack of data source access and qualified staff were the major reasons for not collecting all the variables. In conclusion, based on self-reporting, a few of the participating PBCRs had data available which could be used for clinical audits, evaluation of cancer care projects, survival and for monitoring national cancer control strategies. Extra efforts should be made to improve this very efficient tool to compare cancer burden and the effects of the national cancer plans over Europe and to learn from each other.

Breast cancer survival in the US and Europe: a CONCORD high-resolution study.

Breast cancer survival is reportedly higher in the US than in Europe. The first worldwide study (CONCORD) found wide international differences in age-standardized survival. The aim of this study is to explain these survival differences. Population-based data on stage at diagnosis, diagnostic procedures, treatment and follow-up were collected for about 20,000 women diagnosed with breast cancer aged 15-99 years during 1996-98 in 7 US states and 12 European countries. Age-standardized net survival and the excess hazard of death up to 5 years after diagnosis were estimated by jurisdiction (registry, country, European region), age and stage with flexible parametric models. Breast cancers were generally less advanced in the US than in Europe. Stage also varied less between US states than between European jurisdictions. Early, node-negative tumors were more frequent in the US (39%) than in Europe (32%), while locally advanced tumors were twice as frequent in Europe (8%), and metastatic tumors of similar frequency (5-6%). Net survival in Northern, Western and Southern Europe (81-84%) was similar to that in the US (84%), but lower in Eastern Europe (69%). For the first 3 years after diagnosis the mean excess hazard was higher in Eastern Europe than elsewhere: the difference was most marked for women aged 70-99 years, and mainly confined to women with locally advanced or metastatic tumors. Differences in breast cancer survival between Europe and the US in the late 1990s were mainly explained by lower survival in Eastern Europe, where low healthcare expenditure may have constrained the quality of treatment.

A method for differentiating cancer prevalence according to health status, exemplified using a population-based sample of Italian colorectal cancer cases.

UNLABELLED: Cancer prevalence is the proportion of a population diagnosed with cancer. We present a method for differentiating prevalence into the proportions expected to survive without relapse, die of cancer within a year, and die of cancer within 10 years or survive with relapse at the end of the 10th year. MATERIAL AND METHODS: The method was applied to samples of colorectal cancer cases, randomly extracted from four Italian cancer registries (CRs). The CRs collected data on treatments, local relapses, distant relapses, and causes of death: 1) over the entire follow-up to 31 December 2007 for 601 cases diagnosed in 2002 (cohort approach); 2) over a single year (2007) for five cohorts of cases defined by year of diagnosis (from 1997 to 2001), alive at 1 January 2007 (total 298 cases). The cohorts were combined into a fictitious cohort with 10 years survival experience. For each year j after diagnosis the health status of cases alive at the beginning of j was estimated at the end of the 10th year. From these estimates the 10-year colorectal cancer prevalence was differentiated. RESULTS: We estimated: 74.7% alive without relapse or not undergoing treatment at the end of 10 years; 8.1% had died of colorectal cancer within a year; 11.4% had died of colorectal cancer 1-10 years after diagnosis or had relapsed or were undergoing treatment at the end of the 10th year; and 5.8% had died of other causes. CONCLUSIONS: We have introduced a new method for estimating the healthcare and rehabilitation demands of cancer survivors based on CR data plus treatment and relapse data specifically collected for samples of cases archived by CRs.

Out-of-pocket costs sustained in the last 12 months by cancer patients: an Italian survey-based study on individual expenses between 2017 and 2018.

PURPOSE: Out of Pocket costs (OOP) sustained by cancer patients also in public NHS contribute to disease-related financial toxicity. Aim of the study was to investigate the amount and the types of OOP sustained by Italian cancer patients for care services. METHODS: A sample survey was conducted by FAVO in December 2017-June 2018, in 39 adhering hospitals and 1289 patients diagnosed from 1985 to 2018, by standardized questionnaire inquiring on: yearly expenditure by cancer service, age, year of diagnosis, disease phase, cancer site, sex, marital status, education, residence. Univariate and multivariable regression analyses were performed between OOP and each variable. Multilevel mixed-effects negative binomial regression was used to assess the combined effects of patients characteristics on the differences in acquiring health services. RESULTS: The yearly average OOP was 1841.81€, with the highest values for transports (359.34€) and for diagnostic examinations (259.82€). Significantly higher OOP were found in North and Centre than South and Islands (167.51 vs. 138.39). In the fully adjusted multivariable analysis, the variables significantly associated with higher than reference expenditure were: medium/high education (OR 1.22 [1.05-1.42], upper gastrointestinal tract cancer (OR 1.37 [1.06-1.77]), disease phase of treatments for cancer progression or pain therapy (OR 1.59 [1.30-1.93]). CONCLUSION: Italian cancer patients in 2018 sustained OOP quite similar to those measured in 2012 to supplement NHS services. The main component of the OOP costs were diagnostic examination and transportation. The NHS should pay attention to potentiate its ability to answer unmet needs of patients with advanced cancer who are the most fragile ones. IMPLICATIONS FOR CANCER SURVIVORS: Reinforcing the services where the main OOP expenses are located can help in promoting public health actions and reduce socio-economic needs that could compromise the receipt of optimal care along the whole disease course, from diagnosis to rehabilitation.

The observational clinical registry (cohort design) of the European Reference Network on Rare Adult Solid Cancers: The protocol for the rare head and neck cancers.

INTRODUCTION: 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. In the EU, a unique opportunity is provided by the European Reference Networks (ERN). The ERN EURACAN is dedicated to rare adults solid cancers, here we present the protocol of the EURACAN registry on rare head and neck cancers (ClinicalTrials.gov Identifier: NCT05483374). STUDY DESIGN: Registry-based cohort study including only people with rare head and neck cancers. OBJECTIVES: to help describe the natural history of rare head and neck cancers;to evaluate factors that influence prognosis;to assess treatment effectiveness;to measure indicators of quality of care. METHODS: Settings and participants It is an hospital based registry established in hospitals with expertise in head and neck cancers. Only adult patients with epithelial tumours of nasopharynx; nasal cavity and paranasal sinuses; salivary gland cancer in large and small salivary glands; and middle ear will be included in the registry. This registry won't select a sample of patients. Each patient in the facility who meets the above mentioned inclusion criteria will be followed prospectively and longitudinally with follow-up at cancer progression and / or cancer relapse or patient death. It is a secondary use of data which will be collected from the clinical records. The data collected for the registry will not entail further examinations or admissions to the facility and/or additional appointments to those normally provided for the patient follow-up. Variables Data will be collected on patient characteristics (eg. patient demographics, lifestyle, medical history, health status); exposure data (eg. disease, procedures, treatments of interest) and outcomes (e.g. survival, progression, progression-free survival, etc.). In addition, data on potential confounders (e.g. comorbidity; functional status etc.) will be also collected. Statistical methods The data analyses will include descriptive statistics showing patterns of patients' and cancers' variables and indicators describing the quality of care. Multivariable Cox's proportional hazards model and Hazard ratios (HR) for all-cause or cause specific mortality will be used to determine independent predictors of overall survival, recurrence etc. Variables to include in the multivariable regression model will be selected based on the results of univariable analysis. The role of confounding or effect modifiers will be evaluated using stratified analysis or sensitivity analysis. To assess treatment effectiveness, multivariable models with propensity score adjustment and progression-free survival will be performed. Adequate statistical (eg. marginal structural model) methods will be used if time-varying treatments/confounders and confounding by indication (selective prescribing) will be present. RESULTS: The registry initiated recruiting in May 2022. The estimated completion date is December 2030 upon agreement on the achievement of all the registry objectives. As of October 2022, the registry is recruiting. There will be a risk of limited representativeness due to the hospital-based nature of the registry and to the fact that hospital contributing to the registry are expert centres for these rare cancers. Clinical Follow-up could also be an issue but active search of the life status of the patients will be guaranteed.