ITALIAN CANCER FIGURES - REPORT 2015: The burden of rare cancers in Italy = I TUMORI IN ITALIA - RAPPORTO 2015: I tumori rari in Italia

OBJECTIVES: This collaborative study, based on data collected by the network of Italian Cancer Registries (AIRTUM), describes the burden of rare cancers in Italy. Estimated number of new rare cancer cases yearly diagnosed (incidence), proportion of patients alive after diagnosis (survival), and estimated number of people still alive after a new cancer diagnosis (prevalence) are provided for about 200 different cancer entities. MATERIALS AND METHODS: Data herein presented were provided by AIRTUM population- based cancer registries (CRs), covering nowadays 52% of the Italian population. This monograph uses the AIRTUM database (January 2015), which includes all malignant cancer cases diagnosed between 1976 and 2010. All cases are coded according to the International Classification of Diseases for Oncology (ICD-O-3). Data underwent standard quality checks (described in the AIRTUM data management protocol) and were checked against rare-cancer specific quality indicators proposed and published by RARECARE and HAEMACARE (www.rarecarenet.eu; www.haemacare.eu). The definition and list of rare cancers proposed by the RARECAREnet "Information Network on Rare Cancers" project were adopted: rare cancers are entities (defined as a combination of topographical and morphological codes of the ICD-O-3) having an incidence rate of less than 6 per 100,000 per year in the European population. This monograph presents 198 rare cancers grouped in 14 major groups. Crude incidence rates were estimated as the number of all new cancers occurring in 2000-2010 divided by the overall population at risk, for males and females (also for gender-specific tumours).The proportion of rare cancers out of the total cancers (rare and common) by site was also calculated. Incidence rates by sex and age are reported. The expected number of new cases in 2015 in Italy was estimated assuming the incidence in Italy to be the same as in the AIRTUM area. One- and 5-year relative survival estimates of cases aged 0-99 years diagnosed between 2000 and 2008 in the AIRTUM database, and followed up to 31 December 2009, were calculated using complete cohort survival analysis. To estimate the observed prevalence in Italy, incidence and follow-up data from 11 CRs for the period 1992-2006 were used, with a prevalence index date of 1 January 2007. Observed prevalence in the general population was disentangled by time prior to the reference date (≤2 years, 2-5 years, ≤15 years). To calculate the complete prevalence proportion at 1 January 2007 in Italy, the 15-year observed prevalence was corrected by the completeness index, in order to account for those cancer survivors diagnosed before the cancer registry activity started. The completeness index by cancer and age was obtained by means of statistical regression models, using incidence and survival data available in the European RARECAREnet data. RESULTS: In total, 339,403 tumours were included in the incidence analysis. The annual incidence rate (IR) of all 198 rare cancers in the period 2000-2010 was 147 per 100,000 per year, corresponding to about 89,000 new diagnoses in Italy each year, accounting for 25% of all cancer. Five cancers, rare at European level, were not rare in Italy because their IR was higher than 6 per 100,000; these tumours were: diffuse large B-cell lymphoma and squamous cell carcinoma of larynx (whose IRs in Italy were 7 per 100,000), multiple myeloma (IR: 8 per 100,000), hepatocellular carcinoma (IR: 9 per 100,000) and carcinoma of thyroid gland (IR: 14 per 100,000). Among the remaining 193 rare cancers, more than two thirds (No. 139) had an annual IR <0.5 per 100,000, accounting for about 7,100 new cancers cases; for 25 cancer types, the IR ranged between 0.5 and 1 per 100,000, accounting for about 10,000 new diagnoses; while for 29 cancer types the IR was between 1 and 6 per 100,000, accounting for about 41,000 new cancer cases. Among all rare cancers diagnosed in Italy, 7% were rare haematological diseases (IR: 41 per 100,000), 18% were solid rare cancers. Among the latter, the rare epithelial tumours of the digestive system were the most common (23%, IR: 26 per 100,000), followed by epithelial tumours of head and neck (17%, IR: 19) and rare cancers of the female genital system (17%, IR: 17), endocrine tumours (13% including thyroid carcinomas and less than 1% with an IR of 0.4 excluding thyroid carcinomas), sarcomas (8%, IR: 9 per 100,000), central nervous system tumours and rare epithelial tumours of the thoracic cavity (5%with an IR equal to 6 and 5 per 100,000, respectively). The remaining (rare male genital tumours, IR: 4 per 100,000; tumours of eye, IR: 0.7 per 100,000; neuroendocrine tumours, IR: 4 per 100,000; embryonal tumours, IR: 0.4 per 100,000; rare skin tumours and malignant melanoma of mucosae, IR: 0.8 per 100,000) each constituted <4% of all solid rare cancers. Patients with rare cancers were on average younger than those with common cancers. Essentially, all childhood cancers were rare, while after age 40 years, the common cancers (breast, prostate, colon, rectum, and lung) became increasingly more frequent. For 254,821 rare cancers diagnosed in 2000-2008, 5-year RS was on average 55%, lower than the corresponding figures for patients with common cancers (68%). RS was lower for rare cancers than for common cancers at 1 year and continued to diverge up to 3 years, while the gap remained constant from 3 to 5 years after diagnosis. For rare and common cancers, survival decreased with increasing age. Five-year RS was similar and high for both rare and common cancers up to 54 years; it decreased with age, especially after 54 years, with the elderly (75+ years) having a 37% and 20% lower survival than those aged 55-64 years for rare and common cancers, respectively. We estimated that about 900,000 people were alive in Italy with a previous diagnosis of a rare cancer in 2010 (prevalence). The highest prevalence was observed for rare haematological diseases (278 per 100,000) and rare tumours of the female genital system (265 per 100,000). Very low prevalence (<10 prt 100,000) was observed for rare epithelial skin cancers, for rare epithelial tumours of the digestive system and rare epithelial tumours of the thoracic cavity. COMMENTS: One in four cancers cases diagnosed in Italy is a rare cancer, in agreement with estimates of 24% calculated in Europe overall. In Italy, the group of all rare cancers combined, include 5 cancer types with an IR>6 per 100,000 in Italy, in particular thyroid cancer (IR: 14 per 100,000).The exclusion of thyroid carcinoma from rare cancers reduces the proportion of them in Italy in 2010 to 22%. Differences in incidence across population can be due to the different distribution of risk factors (whether environmental, lifestyle, occupational, or genetic), heterogeneous diagnostic intensity activity, as well as different diagnostic capacity; moreover heterogeneity in accuracy of registration may determine some minor differences in the account of rare cancers. Rare cancers had worse prognosis than common cancers at 1, 3, and 5 years from diagnosis. Differences between rare and common cancers were small 1 year after diagnosis, but survival for rare cancers declined more markedly thereafter, consistent with the idea that treatments for rare cancers are less effective than those for common cancers. However, differences in stage at diagnosis could not be excluded, as 1- and 3-year RS for rare cancers was lower than the corresponding figures for common cancers. Moreover, rare cancers include many cancer entities with a bad prognosis (5-year RS <50%): cancer of head and neck, oesophagus, small intestine, ovary, brain, biliary tract, liver, pleura, multiple myeloma, acute myeloid and lymphatic leukaemia; in contrast, most common cancer cases are breast, prostate, and colorectal cancers, which have a good prognosis. The high prevalence observed for rare haematological diseases and rare tumours of the female genital system is due to their high incidence (the majority of haematological diseases are rare and gynaecological cancers added up to fairly high incidence rates) and relatively good prognosis. The low prevalence of rare epithelial tumours of the digestive system was due to the low survival rates of the majority of tumours included in this group (oesophagus, stomach, small intestine, pancreas, and liver), regardless of the high incidence rate of rare epithelial cancers of these sites. This AIRTUM study confirms that rare cancers are a major public health problem in Italy and provides quantitative estimations, for the first time in Italy, to a problem long known to exist. This monograph provides detailed epidemiologic indicators for almost 200 rare cancers, the majority of which (72%) are very rare (IR<0.5 per 100,000). These data are of major interest for different stakeholders. Health care planners can find useful information herein to properly plan and think of how to reorganise health care services. Researchers now have numbers to design clinical trials considering alternative study designs and statistical approaches. Population-based cancer registries with good quality data are the best source of information to describe the rare cancer burden in a population

KA1-targeted regulatory domain mutations activate Chk1 in the absence of DNA damage

The Chk1 protein kinase is activated in response to DNA damage through ATR-mediated phosphorylation at multiple serine-glutamine (SQ) residues within the C-terminal regulatory domain, however the molecular mechanism is not understood. Modelling indicates a high probability that this region of Chk1 contains a kinase-associated 1 (KA1) domain, a small, compact protein fold found in multiple protein kinases including SOS2, AMPK and MARK3. We introduced mutations into Chk1 designed to disrupt specific structural elements of the predicted KA1 domain. Remarkably, six of seven Chk1 KA1 mutants exhibit constitutive biological activity (Chk1-CA) in the absence of DNA damage, profoundly arresting cells in G2 phase of the cell cycle. Cell cycle arrest induced by selected Chk1-CA mutants depends on kinase catalytic activity, which is increased several-fold compared to wild-type, however phosphorylation of the key ATR regulatory site serine 345 (S345) is not required. Thus, mutations targeting the putative Chk1 KA1 domain confer constitutive biological activity by circumventing the need for ATR-mediated positive regulatory phosphorylation

Coordinate action of distinct sequence elements localizes checkpoint kinase Hsl1 to the septin collar at the bud neck in Saccharomyces cerevisiae

Passage through the eukaryotic cell cycle requires processes that are tightly regulated both spatially and temporally. Surveillance mechanisms (checkpoints) exert quality control and impose order on the timing and organization of downstream events by impeding cell cycle progression until the necessary components are available and undamaged and have acted in the proper sequence. In budding yeast, a checkpoint exists that does not allow timely execution of the G2/M transition unless and until a collar of septin filaments has properly assembled at the bud neck, which is the site where subsequent cytokinesis will occur. An essential component of this checkpoint is the large (1518-residue) protein kinase Hsl1, which localizes to the bud neck only if the septin collar has been correctly formed. Hsl1 reportedly interacts with particular septins; however, the precise molecular determinants in Hsl1 responsible for its recruitment to this cellular location during G2 have not been elucidated. We performed a comprehensive mutational dissection and accompanying image analysis to identify the sequence elements within Hsl1 responsible for its localization to the septins at the bud neck. Unexpectedly, we found that this targeting is multipartite. A segment of the central region of Hsl1 (residues 611–950), composed of two tandem, semiredundant but distinct septin-associating elements, is necessary and sufficient for binding to septin filaments both in vitro and in vivo. However, in addition to 611–950, efficient localization of Hsl1 to the septin collar in the cell obligatorily requires generalized targeting to the cytosolic face of the plasma membrane, a function normally provided by the C-terminal phosphatidylserine-binding KA1 domain (residues 1379–1518) in Hsl1 but that can be replaced by other, heterologous phosphatidylserine-binding sequences

Non-invasive brain stimulation in human stroke survivors

The use of electromagnetic currents toward understanding and curing human disease has long been of interest. In the 1980s, a dramatic increase in our understanding of brain function, along with parallel improvements in non-invasive brain stimulation (NIBS) technologies, subsequently caused rapid expansion of the field. Intraoperative monitoring techniques that incorporated single pulse stimulation were developed concurrently for the purpose of measuring corticospinal integrity (Merton & Morton, 1980a, 1980b); however, with the introduction of transcranial magnetic stimulation (TMS), the use of NIBS decisively exploded, opening a new window into the exploration and modulation of the brain (Barker and Jalinous, Lancet, 1(8437):1106–1107, 1985). Single pulse TMS, used initially to study inter-cortical physiology of the intact corticospinal tract, was thereafter investigated toward the rehabilitation of neurological and psychiatric conditions

Italian cancer figures, report 2014: Prevalence and cure of cancer in Italy

This Report intends to estimate the total number of people still alive in 2010 after cancer diagnosis in Italy, regardless of the time since diagnosis, and to project these estimates to 2015. This study is also aimed to estimate the number of already cured cancer patients, whose mortality rates have become undistinguishable from that of the general population of the same age and sex

Italian cancer figures, report 2014: Prevalence and cure of cancer in Italy

OBJECTIVES: This Report intends to estimate the total number of people still alive in 2010 after cancer diagnosis in Italy, regardless of the time since diagnosis, and to project these estimates to 2015. This study is also aimed to estimate the number of already cured cancer patients, whose mortality rates have become undistinguishable from that of the general population of the same age and sex. MATERIALS AND METHODS: The study took advantage of the information from the AIRTUM database, which included 29 Cancer Registries (covering 21 million people, 35% of the Italian population). A total of 1,624,533 cancer cases diagnosed between 1976 and 2009 contributed to the study. For each registry, the observed prevalence was calculated. Prevalence for lengths of time exceeding the maximum duration of the registration and of the complete prevalence were derived by applying an estimated correction factor, the completeness index. This index was estimated by means of statistical regression models using cancer incidence and survival data available in registries with 18 years of observation or more. For 50 types or combinations of neoplasms, complete prevalence was estimated at 1.1.2010 as an absolute number and as a proportion per 100,000 inhabitants by sex, age group, area of residence, and years since diagnosis. Projections of complete prevalence for 1.1.2015 were computed under the assumption of a linear trend of the complete prevalence observed until 2010. Validated mixture cure models were used to estimate: the cure fraction, that is the proportion of patients who, starting from the time of diagnosis, are expected to reach the same mortality rate of the general population; the conditional relative survival (CRS), that is the cumulative probability of surviving some additional years, given that patients already survived a certain number of years; the time to cure, that is the number of years necessary so that conditional survival in the following five years (5-year CRS) exceeds the conventional threshold of 95% (i.e., mortality rates in cancer patients become undistinguishable compared to those of the general population); the proportion of patients already cured, i.e., people alive since a number of years exceeding time to cure. RESULTS: As of 1.1.2010, it was estimated that 2,587,347 people were alive after a cancer diagnosis, corresponding to 4.4% of the Italian population. A relevant geographical heterogeneity emerged, with a prevalence above 5% in northern registries and below 4% in southern areas. Men were 45% of the total (1,154,289) and women 55% (1,433,058). In the population aged 75 years or more, the proportions of prevalent cases were 20% in males and 13% in females, 11% between 60 and 74 years of age in both sexes. Nearly 600,000 Italian women were alive after a breast cancer diagnosis (41% of all women with this neoplasm), followed by women with cancers of the colon rectum (12%), corpus uteri (7%), and thyroid (6%). In men, 26% of prevalent cases (295,624) were patients with prostate cancer, 16% with either bladder or colon rectum cancer. The projections for 1.1.2015 are of three million (3,036,741) people alive after a cancer diagnosis, 4.9% of the Italian population; with a 20% increase for males and 15% for females, compared to 2010. The cure fractions were heterogeneous according to cancer type and age. Estimates obtained as the sum of cure fractions for all cancer types showed that more than 60% of patients diagnosed below the age of 45 years will reach the same mortality rate of the general population. This proportion decreased with increasing age and it was 5 years earlier (long-term survivors). Time to cure (5-year CRS>95%) was reached in 25 years after cancer diagnosis in patients with liver and larynx cancers, non-Hodgkin lymphoma, myeloma, and leukaemia. Time to cure was reached by 27% (20% in men and 33% in women) of all people living after a cancer diagnosis, defined as already cured. CONCLUSIONS: The study showed a steady increase over time (nearly +3% per year) of prevalent cases in Italy. A quarter of Italian cancer patients alive in 2010 can be considered as already cured. The AIRTUM Report 2014 describes characteristics of cancer patients and former-patients for 50 cancer types or combinations by sex and age. This detailed information promotes the conduction of studies aimed at expanding the current knowledge on the quality of life of these patients during and after the active phase of treatments (prevalence according to health status), on the long-term effects of treatments (in particular for paediatric patients), on the cost profile of cancer patients, and on rare tumours. All these observations have a high potential impact on health planning, clinical practice, and, most of all, patients' perspective