[Turn-over of non-tenured public health research personnel in an Italian public research institute (IRCCS).] / Il turn-over del personale con contratti di lavoro flessibili o borse di studio dedicato alla ricerca sanitaria in un IRCCS pubblico italiano.

BACKGROUND: The objective is to show variations in the number of non-tenured personnel (NTP) in a public health research centre (IRCCS) between 30th June 2016 and 31st December 2017. In this time interval, the issue of NTP was at the centre of governmental discussions. METHODS: Data collection was performed from CVs and scientific publications of NTP working at the Fondazione IRCCS Istituto Nazionale dei Tumori (INT). We compared the characteristics of NTP entering or leaving INT and those of NTP who remained in the considered time interval. RESULTS: NTP in INT counted 465 members of staff at 30th June 2016 and 472 at 31st December 2017. 75% of these works in the research. 26% of NTP left INT and their position resulted entirely substituted by other NTP. NTP staff who left are mainly aged under 40 and show fewer publications than those who stayed. Newly acquired NTP are younger and show a fewer number of publications compared to the personnel who left. CONCLUSIONS: 1 out of 4 NTP members of staff moved to a new job during a period in which the uncertain future of NTP research staff was under the spotlight. It appears that IRCCS are progressively being identified as suitable for hands-on, post university internships from which researchers would then choose to move, in search of a new job in public or private centres, with a consequent decline of IRCCS' role in health research.

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.

A breast cancer clinical registry in an Italian comprehensive cancer center: an instrument for descriptive, clinical, and experimental research.

In clinical research, many potentially useful variables are available via the routine activity of cancer center-based clinical registries (CCCR). We present the experience of the breast cancer clinical registry at Fondazione IRCCS "Istituto Nazionale dei Tumori" to give an example of how a CCCR can be planned, implemented, and used. Five criteria were taken into consideration while planning our CCCR: (a) available clinical and administrative databases ought to be exploited to the maximum extent; (b) open source software should be used; (c) a Web-based interface must be designed; (d) CCCR data must be compatible with population-based cancer registry data; (e) CCCR must be an open system, able to be connected with other data repositories. The amount of work needed for the implementation of a CCCR is inversely linked with the amount of available coded data: the fewer data are available in the input databases as coded variables, the more work will be necessary, for information technology staff, text mining analysis, and registrars (for collecting data from clinical records). A cancer registry in a comprehensive cancer center can be used for several research aspects, such as estimate of the number of cases needed for clinical studies, assessment of biobank specimens with specific characteristics, evaluation of clinical practice and adhesion to clinical guidelines, comparative studies between clinical and population sets of patients, studies on cancer prognosis, and studies on cancer survivorship.