Aims And Background: Cancer registration in Piedmont currently covers the city of Turin and the province of Biella, together representing 24% of the regional population. The objective of this paper is to provide estimates of the incidence and mortality rates and prevalence proportions for cancer of the lung, breast, cervix, prostate, colon-rectum and stomach and melanoma of the skin for 2012 and the time trends up to 2015 for the Piedmont and Aosta Valley regions.
Methods: The estimates were obtained by applying the MIAMOD method, a statistical back-calculation approach to derive incidence and prevalence figures starting from mortality and relative survival data. Published data from the Italian cancer registries were modeled in order to estimate the regional cancer survival. The MIAMOD estimates were also compared with those obtained by applying a method based on the mortality-incidence and prevalence-incidence ratios.
Results: The most frequently diagnosed cancers in absolute terms were prostate, colorectal, breast and lung cancer with about 5,000, 4,700, 3,300, and 2,900 new cases, respectively, in 2012. Incidence rates were rising for melanoma in both sexes and lung cancer in women, while they diminished for cervical and stomach cancer. For prostate cancer and male lung cancer the rates initially increased but were estimated to decrease in the most recent period. Colorectal cancer also increased up to the 1990s but was estimated to reach a plateau in the final years of estimation. Prevalence increased for all the considered cancers with the exception of cervical cancer. Mortality was declining for all considered cancers with the exception of lung cancer in women.
Conclusions: Monitoring indicators of the cancer burden is crucial for setting priorities among possible health system activities in a limited-resource setting. Piedmont has long invested in organized, population-based screening programs: these will have to be extended and accompanied by greater efforts in primary prevention.
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http://dx.doi.org/10.1177/030089161309900301 | DOI Listing |
Ann Surg Oncol
January 2025
Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Sports Med Open
January 2025
Institute of Primary Care, University of Zurich, Zurich, Switzerland.
Background: Marathon training and running have many beneficial effects on human health and physical fitness; however, they also pose risks. To date, no comprehensive review regarding both the benefits and risks of marathon running on different organ systems has been published.
Main Body: The aim of this review was to provide a comprehensive review of the benefits and risks of marathon training and racing on different organ systems.
Nat Commun
January 2025
European Research Institute for the Biology of Ageing, University Medical Center Groningen, Groningen, Netherlands.
While the effect of amplification-induced oncogene expression in cancer is known, the impact of copy-number gains on "bystander" genes is less understood. We create a comprehensive map of dosage compensation in cancer by integrating expression and copy number profiles from over 8000 tumors in The Cancer Genome Atlas and cell lines from the Cancer Cell Line Encyclopedia. Additionally, we analyze 17 cancer open reading frame screens to identify genes toxic to cancer cells when overexpressed.
View Article and Find Full Text PDFCell Death Discov
January 2025
Institute of Biopharmaceutical Sciences, College of Pharmaceutical Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
TP53 mutations are recognized to correlate with a worse prognosis in individuals with non-small cell lung cancer (NSCLC). There exists an immediate necessity to pinpoint selective treatment for patients carrying TP53 mutations. Potential drugs were identified by comparing drug sensitivity differences, represented by the half-maximal inhibitory concentration (IC50), between TP53 mutant and wild-type NSCLC cell lines using database analysis.
View Article and Find Full Text PDFNat Commun
January 2025
Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA.
Recent barcoding technologies allow reconstructing lineage trees while capturing paired single-cell RNA-sequencing (scRNA-seq) data. Such datasets provide opportunities to compare gene expression memory maintenance through lineage branching and pinpoint critical genes in these processes. Here we develop Permutation, Optimization, and Representation learning based single Cell gene Expression and Lineage ANalysis (PORCELAN) to identify lineage-informative genes or subtrees where lineage and expression are tightly coupled.
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