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247 results on '"Caldarella, Adele"'

52. Impact of screening programme using the faecal immunochemical test on stage of colorectal cancer: Results from the IMPATTO study

Author

Vicentini, Massimo, Zorzi, Manuel, Bovo, Emanuela, Mancuso, Pamela, Zappa, Marco, Manneschi, Gianfranco, Mangone, Lucia, Rossi, Paolo Giorgi, Grazzini, Grazia, Mantellini, Paola, Caldarella, Adele, Intrieri, Teresa, Anghinoni, Emanuela, Senore, Carlo, Tisano, Francesco, Ziino, Antonio Colanino, Malignaggi, Sabina, Passanisi, Guido, Rugge, Massimo, Turrin, Anna, Piffer, Silvano, Gentilini, Maria, Rizzello, Roberto, Pertile, Riccardo, Sensi, Flavio, Cesaraccio, Rosaria, Interieri, Teresa, Ferretti, Stefano, Collina, Natalina, Petrucci, Chiara, Fanetti, Anna Clara, Cecconami, Lorella, Fusco, Mario, Vitale, Maria Francesca, Castaing, Marine, Ippolito, Antonella, Varvara, Massimo, Pesce, Paola, Filiberti, Rosa, Borciani, Elisabetta, Seghini, Pietro, Stracci, Fabrizio, Malaspina, Morena, Serraino, Diego, Falcini, Fabio, Giuliani, Orietta, Pannozzo, Fabio, Curatella, Simonetta, Calabretta, Francesca, Bellardini, Paola, Carrozzi, Giuliano, Bisanti, Luigi, Russo, Antonio Giampiero, Silvestri, Anna Rita, Tidone, Enrica, Giacomin, Adriano, Azzoni, Alberto, Mazzucco, Walter, Cusimano, Rosanna, Campari, Cinzia, Caroli, Stefania, Michiara, Maria, Sgargi, Paolo, De Togni, Aldo, Palmonari, Caterina, Casella, Claudia, Puppo, Antonella, Vicentini M., Zorzi M., Bovo E., Mancuso P., Zappa M., Manneschi G., Mangone L., Rossi P.G., Grazzini G., Mantellini P., Caldarella A., Intrieri T., Anghinoni E., Senore C., Tisano F., Ziino A.C., Malignaggi S., Passanisi G., Rugge M., Turrin A., Piffer S., Gentilini M., Rizzello R., Pertile R., Sensi F., Cesaraccio R., Interieri T., Ferretti S., De Togni A., Palmonari C., Collina N., Petrucci C., Fanetti A.C., Cecconami L., Fusco M., Vitale M.F., Castaing M., Ippolito A., VarvarA M., Pesce P., Filiberti R., Casella C., Puppo A., Borciani E., Seghini P., Stracci F., Malaspina M., Serraino D., Falcini F., Giuliani O., Pannozzo F., Curatella S., Calabretta F., Bellardini P., Carrozzi G., Bisanti L., Russo A.G., Silvestri A.R., Tidone E., Giacomin A., Azzoni A., Mazzucco W., Cusimano R., Campari C., Caroli S., Michiara M., and Sgargi P.

Subjects
Male, Cancer Research, medicine.medical_specialty, Colorectal cancer, Prevalence, Socio-culturale, Colonoscopy, Colorectal Neoplasm, Settore MED/42 - Igiene Generale E Applicata, colorectal cancer screening, Screening programme, Feces, 03 medical and health sciences, 0302 clinical medicine, colonoscopy, Faecal immunochemical test, colonoscopy, colorectal cancer screening, epidemiology, cancer registries, Internal medicine, Epidemiology, medicine, Humans, Stage (cooking), Early Detection of Cancer, Aged, Neoplasm Staging, Proportional Hazards Models, cancer registrie, medicine.diagnostic_test, Faecal immunochemical test, business.industry, Incidence (epidemiology), Incidence, Middle Aged, medicine.disease, Immunohistochemistry, Oncology, Italy, cancer registries, 030220 oncology & carcinogenesis, Relative risk, Occult Blood, epidemiology, Fece, Female, Neoplasm Grading, Colorectal Neoplasms, business, Human
Abstract

To evaluate the impact of faecal immunochemical test (FIT) screening on stage distribution at diagnosis, and to estimate relative incidence rates by stage in screened at first and subsequent rounds vs. unscreened. We included all incident cases occurring in 2000-2008 in 50- to 71-year-olds residing in areas with an FIT-screening programme. Multinomial logistic models were computed to estimate the relative risk ratio (RRR) of stages I and IV, compared to stage II + III, adjusting for age, sex, geographical area, and incidence year. Proportions were then used to estimate incidence rate ratios (IRR) by stage for screened subjects at the first and at subsequent rounds vs. unscreened subjects, applying the expected changes in overall incidence during screening phases. 11,663 cancers were included: 5965 in not-invited and 5,698 in invited subjects, 3,425 of whom attendees. Compared to not-invited, invited subjects had RRR 2.04 (95% CI: 1.84; 2.46) of stage I and RRR 0.77 (95% CI: 0.69; 0.87) of stage IV. Differences were stronger comparing attendees vs. nonattendees. Interval cancers were more frequently stage I compared to non-invited (RRR 1.54; 95% CI: 1.15; 2.04), but there was no difference for stage IV. IRRs in screened at first round vs. unscreened were 4.6 (95% CI: 4.2; 5.1), 1.4 (95% CI: 1.3; 1.5) and 0.7 (95% CI: 0.6; 0.9) for stages I, II + III and IV, respectively; in the following rounds the IRRs of screened vs. unscreened were 1.4 (95% CI: 1.2; 1.6), 0.8 (95% CI: 0.7; 0.9) and 0.3 (95% CI: 0.1; 0.4) for stages I, II + III and IV, respectively. FIT screening reduces the incidence of metastatic cancers by about 70% after the first round.

Published
2019

53. Mid‐term trends and recent birth‐cohort‐dependent changes in incidence rates of cutaneous malignant melanoma in Italy.

Author

Bucchi, Lauro, Mancini, Silvia, Crocetti, Emanuele, Dal Maso, Luigino, Baldacchini, Flavia, Vattiato, Rosa, Giuliani, Orietta, Ravaioli, Alessandra, Caldarella, Adele, Carrozzi, Giuliano, Ferretti, Stefano, Filiberti, Rosa Angela, Fusco, Mario, Gatti, Luciana, Gili, Alessio, Magoni, Michele, Mangone, Lucia, Mazzoleni, Guido, Michiara, Maria, and Panato, Chiara

Subjects
REGRESSION analysis, SENSITIVITY analysis, CONFIDENCE intervals
Abstract

In Oceania, North America and north‐western Europe, after decades of increase, cutaneous malignant melanoma (CMM) rates began to stabilise or decline before 2000. Anecdotal evidence suggests that the reversal of the incidence trend is extending to southern Europe. To obtain a formal confirmation, this nationwide study from Italy investigated the incidence trends by birth cohort. Twenty‐one local cancer registries covering a population of 15 814 455 provided incidence data for primary CMM registered between 1994 and 2013. Trends in age‐standardised rates were analysed using joinpoint regression models and age‐period‐cohort models. Age‐standardised incidence showed a consistent increase throughout the period (estimated annual percent change, 3.6 [95% confidence interval, 3.2‐4.0] among men and 2.5 [2.0‐3.1] among women). This pattern was confirmed by a sensitivity analysis with removal of low‐risk populations of southern Italy. The rates, however, showed a stabilisation or a decrease in men and women aged below 35. Using the cohort of 1949—the median cohort with respect to the number of cases for both genders—as a reference, the incidence rate ratio increased for successive cohorts born until 1973 (women) and 1975 (men), and subsequently tended to decline. For the most recent cohorts in both genders, the risk of disease returned to the level of the cohort of 1949. The changes observed in the latest generations can be interpreted as the earliest manifestations of a birth‐cohort‐dependent incidence decrease. Our study adds to previous data indicating that the reversal of the long‐term upward incidence trend of CMM is extending to southern Europe. What's new? After increasing for many years, malignant melanoma rates began to stabilise or decline in many regions before 2000. Is this also true for southern Europe? In the current study, the authors found that melanoma rates have also began to decline in Italy. The reversal of the long‐term, worldwide increase in melanoma risk seen in other Caucasian populations thus appears to extend to southern Europe. These results indicate that primary prevention strategies have been effective in modifying sun‐exposure habits in this region, and should continue to be reinforced via public health messaging. [ABSTRACT FROM AUTHOR]

Published
2021
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54. Treatment patterns among patients with malignant pleural mesothelioma: An Italian, population‐based nationwide study.

Author

Trama, Annalisa, Proto, Claudia, Signorelli, Diego, Garassino, Marina C., Lo Russo, Giuseppe, Ganzinelli, Monica, Prelaj, Arsela, Mensi, Carolina, Gangemi, Manuela, Gennaro, Valerio, Chellini, Elisabetta, Caldarella, Adele, Angelillo, Italo F., Ascoli, Valeria, Pascucci, Cristiana, Tagliabue, Giovanna, Cusimano, Rosanna, Bella, Francesca, Falcini, Fabio, and Merler, Enzo

Subjects
CANCER chemotherapy, CANCER patients, CANCER patient medical care, MESOTHELIOMA, SCIENTIFIC observation, STATISTICAL sampling, DECISION making in clinical medicine, PLEURAL tumors, MULTIPLE regression analysis
Abstract

Background: Malignant pleural mesothelioma (MPM) is a rare cancer with a poor prognosis. Centralization of rare cancer in dedicated centers is recommended to ensure expertise, multidisciplinarity and access to innovation. In Italy, expert centers for MPM have not been identified in all regions. We aimed to describe the treatment patterns among MPM patients across different Italian regions and to identify factors associated with the treatment patterns across the regions. Methods: We performed an observational study on a random sample of 2026 MPM patients diagnosed in 2003–2008. We included 26 population‐based registries covering 70% of the Italian population. To identify factors associated with treatment patterns, across the different regions, we fitted a multinomial logistic regression model adjusted by age, sex, stage, histology and hospital with thoracic surgical department. Results: MPM patients mostly received chemotherapy alone (41%) or no cancer‐directed therapy (36%) especially the older patients. The first course of treatment for MPM patients differed across regions. Patients from Piedmont, Liguria and Campania were more likely to receive no cancer‐directed therapy; those living in Tuscany and Sicily were more likely to get surgery; patients from Marche and Lazio were more likely to receive chemotherapy. These differences were not explained by age, sex, stage, histology and availability of a thoracic surgery department. Conclusions: There is limited expertise available and lack of a network able to maximize the expertise available may contribute to explaining the results of our study. Our findings support the need to ensure the appropriate care of all MPM patients in reorganizing the health care services. Key points: Significant findings of the study: MPM patients mostly received chemotherapy alone or no cancer‐directed therapy especially the older patients. The first course of treatment for MPM patients differed across Italian regions. What this study adds: Differences in MPM clinical management are not explained by the age, stage, histology nor by the availability of a thoracic surgery department. Limited expertise for MPM contribute to explaining the unequal access to appropriate care for MPM patients in Italy. [ABSTRACT FROM AUTHOR]

Published
2020
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55. The impact of overdiagnosis on thyroid cancer epidemic in Italy,1998–2012

Author

Dal Maso, Luigino, primary, Panato, Chiara, additional, Franceschi, Silvia, additional, Serraino, Diego, additional, Buzzoni, Carlotta, additional, Busco, Susanna, additional, Ferretti, Stefano, additional, Torrisi, Antonietta, additional, Falcini, Fabio, additional, Zorzi, Manuel, additional, Cirilli, Claudia, additional, Mazzucco, Walter, additional, Magoni, Michele, additional, Collarile, Paolo, additional, Pannozzo, Fabio, additional, Caiazzo, Anna Luisa, additional, Russo, Antonio Giampiero, additional, Gili, Alessio, additional, Caldarella, Adele, additional, Zanetti, Roberto, additional, Michiara, Maria, additional, Mangone, Lucia, additional, Filiberti, Rosa Angela, additional, Fusco, Mario, additional, Gasparini, Francesca, additional, Tagliabue, Giovanna, additional, Cesaraccio, Rosaria, additional, Tumino, Rosario, additional, Gatti, Luciana, additional, Tisano, Francesco, additional, Piffer, Silvano, additional, Sini, Giovanna Maria, additional, Mazzoleni, Guido, additional, Rosso, Stefano, additional, Fanetti, Anna Clara, additional, Vaccarella, Salvatore, additional, Fedeli, Ugo, additional, Varvarà, Massimo, additional, Ravaioli, Alessandra, additional, Pennelli, GianMaria, additional, Valla, Katia, additional, Cusimano, Rosanna, additional, Gasparotti, Cinzia, additional, Taborelli, Martina, additional, Iannelli, Arturo, additional, Leite, Silvia, additional, Manneschi, Gianfranco, additional, Patriarca, Silvia, additional, Sgargi, Paolo, additional, Vicentini, Massimo, additional, Puppo, Antonella, additional, Vitale, Maria Francesca, additional, Barigelletti, Giulio, additional, Pirino, Daniela Rita, additional, Spata, Eugenia, additional, Ricci, Paolo, additional, Madeddu, Anselmo, additional, Rizzello, Roberto, additional, Usala, Mario, additional, Bulatko, Andreas, additional, Vercellino, Pier Carlo, additional, Cometti, Ivan, additional, Cuccaro, Francesco, additional, Sampietro, Giuseppe, additional, Scalzi, Santo, additional, Gola, Gemma, additional, Guarda, Linda, additional, Melcarne, Anna, additional, d'Oro, Luca Cavalieri, additional, Borciani, Elisabetta, additional, Carone, Simona, additional, Candela, Giuseppina, additional, and Stoppa, Giorgia, additional

Published
2018
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56. Corrigendum to “Advanced breast cancer rates in the epoch of service screening: The 400,000 women cohort study from Italy” [Eur J Cancer 75 (April 2017) 109–116]

Author

Puliti, Donella, primary, Bucchi, Lauro, additional, Mancini, Silvia, additional, Paci, Eugenio, additional, Baracco, Susanna, additional, Campari, Cinzia, additional, Canuti, Debora, additional, Cirilli, Claudia, additional, Collina, Natalina, additional, Conti, Giovanni Maria, additional, Di Felice, Enza, additional, Falcini, Fabio, additional, Michiara, Maria, additional, Negri, Rossella, additional, Ravaioli, Alessandra, additional, Sassoli de’ Bianchi, Priscilla, additional, Serafini, Monica, additional, Zorzi, Manuel, additional, Caldarella, Adele, additional, Cataliotti, Luigi, additional, and Zappa, Marco, additional

Published
2017
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57. Advanced breast cancer rates in the epoch of service screening: The 400,000 women cohort study from Italy

Author

Puliti, Donella, primary, Bucchi, Lauro, additional, Mancini, Silvia, additional, Paci, Eugenio, additional, Baracco, Susanna, additional, Campari, Cinzia, additional, Canuti, Debora, additional, Cirilli, Claudia, additional, Collina, Natalina, additional, Conti, Giovanni Maria, additional, Di Felice, Enza, additional, Falcini, Fabio, additional, Michiara, Maria, additional, Negri, Rossella, additional, Ravaioli, Alessandra, additional, Sassoli de' Bianchi, Priscilla, additional, Serafini, Monica, additional, Zorzi, Manuel, additional, Caldarella, Adele, additional, Cataliotti, Luigi, additional, Zappa, Marco, additional, Manneschi, G., additional, Miccinesi, G., additional, Caranci, N., additional, Naldoni, C., additional, Finarelli, A.C., additional, Ferretti, S., additional, Pandolfi, P., additional, Pizzi, L., additional, Petrucci, C., additional, Baldazzi, P., additional, Pasquini, A., additional, Manfredi, M., additional, Saguatti, G., additional, Zatelli, M., additional, Sgargi, P., additional, Bozzani, F., additional, Giorgi Rossi, P., additional, Mangone, L., additional, Caroli, S., additional, Vicentini, M., additional, Vattiato, R., additional, Giuliani, O., additional, Balducci, C., additional, Vitali, B., additional, and Monticelli, G., additional

Published
2017
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58. Characteristics of the colorectal cancers diagnosed in the early 2000s in Italy. Figures from the IMPATTO study on colorectal cancer screening [Caratteristiche dei tumori del colon retto diagnosticati in Italia nei primi anni Duemila. Dati dello studio IMPATTO sdelo screening colorettale]

Author

Zorzi, Manuel, Mangone, Lucia, Anghinoni, Emanuela, Baracco, Susanna, Borciani, Elisabetta, Caldarella, Adele, Falcini, Fabio, Fanetti, Anna Clara, Ferretti, Stefano, Rossi, Paolo Giorgi, Michiara, Maria, Randi, Giorgia, Stracci, Fabrizio, Vicentini, Massimo, Zucchetto, Antonella, Zappa, Marco, Giacomin, A., Azzoni, A., Baldazzi, P., Collina, N., Pandolfi, P., Biavati, P., Gualandi, G., Sciacca, S., Pesce, P., Torrisi, A., Sciacchitano, C., Fidelbo, M., Finarelli, A. C., Naldoni, C., De'Bianchi, P. Sassoli, Landi, P., Matarese, V., De Togni, A., Palmonari, C., Crocetti, E., Grazzini, G., Manneschi, G., Mantellini, P., Serraino, D., Bidoli, E., Taborelli, M., Gini, A., Virdone, S., Puppo, A., Casella, C., Celesia, M., Cogno, R., Marani, E., Bugliarello, E., Fattoruso, S., Tamburo, L., Tamburrino, S., Bellardini, P., Autelitano, M., Frammartino, B., Bisanti, L., Ghilardi, S., Leone, R., Corradini, R., De Girolamo, F., Valla, K., Palombino, R., Gigli, L., Spena, S. Russo, Vitale, M. F., Cascio, M. A., Mannino, R., Mazzucco, W., Mistretta, A., Ravazzolo, B., Sgarzi, P., Bozzani, F., Zatelli, M., Zurlini, C., Caruana, P., Seghini, P., Gatti, G., Prazzoli, R., Campari, C., Paterlini, L., Cassetti, T., Sassatelli, R., Imolesi, C., Casale, C., Serafini, M., Vattiato, R., Giuliani, O., Cesaraccio, R., Sechi, O., Budroni, M., Madeddu, A., Contrino, M. L., Ziino, A. Colanino, Russo, M., Tisano, F., Fanetti, A. C., Maspero, S., Moroni, E., Cometti, I., Gentilini, M., Piffer, S., De Pretis, G., Caciagli, P., Pertile, R., Bianconi, F., Bucchi, D., Galeotti, M. E., Malaspina, M., Greco, A., Fiore, A. R., Stocco, C. F., and Fedato, C.

Subjects
Colorectal cancer, Colorectal cancer screening, Italy, Epidemiology, Public Health, Environmental and Occupational Health, Environmental and Occupational Health, Socio-culturale, Public Health
Published
2015

60. Ovarian stimulation for infertility treatment and cancer risk: An Italian cohort study.

Author

Puntoni, Matteo, primary, Costa, Mauro, additional, Paleari, Laura, additional, Anserini, Paola, additional, Casella, Claudia, additional, Revelli, Alberto, additional, Patriarca, Silvia, additional, Noci, Ivo, additional, Caldarella, Adele, additional, Bruzzi, Paolo, additional, Provinciali, Nicoletta, additional, De Censi, Andrea, additional, and Gennari, Alessandra, additional

Published
2016
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61. The burden of rare cancers in Italy: The surveillance of rare cancers in Italy (RITA) project

Author

Trama, Annalisa, Mallone, Sandra, Ferretti, Stefano, Meduri, Francesca, Capocaccia, Riccardo, Gatta, Gemma, Bellã¹, Francesco, Mazzoleni, Guido, Dal Cappello, Tomas, Giacomin, Adriano, Serraino, Diego, Zucchetto, Antonella, Vercelli, Marina, Quaglia, Alberto, Vitarelli, Susanna, Federico, Massimo, Cirilli, Claudia, Fusco, Mario, Vitale, Maria Francesca, Traina, Adele, Zarcone, Maurizio, Michiara, Maria, Bozzani, Francesco, Tumino, Rosario, Spata, Eugenia, Mangone, Lucia, Vicentini, Massimo, Falcini, Fabio, Cremone, Luigi, Iannelli, Arturo, Budroni, Mario, Intrieri, Teresa, Caldarella, Adele, Piffer, Silvano, Gentilini, Maria, La Rosa, Francesco, Stracci, Fabrizio, Tagliabue, Giovanna, Contiero, Paolo, Zambon, Paola, Fiore, Annarita, Berrino, Franco, Casali, Paolo G., Licita, Lisa, Dei Tos, Angelo Paolo, and De Angelis, Roberta

Subjects
Cancer Research, Survival, Oncology, Incidence, Prevalence, Cancer registries, Rare cancers
Published
2012

62. Italian cancer figures, report 2011: Survival of cancer patients in Italy

Author

Airtum, Working Group, Fusco, Mario, Buzzoni, Carlotta, Coviello, Enzo, Rashid, Ivan, Bianconi, Fortunato, Cuccaro, Francesco, Castaing, Marine, Angelis, Roberta, Giacomin, Adriano, Guzzinati, Stefano, Mosso, Maria Luisa, Pisani, Paola, Quaglia, Alberto, Randi, Giorgia, Ramazzotti, Valerio, Russo, Antonio, Senatore, Gennaro, Stracci, Fabrizio, Traina, Adele, Vercelli, Marina, Zarcone, Maurizio, Ferretti, Stefano, Mazzoleni, Guido, Bellu, Francesco, Tschugguel, Birgit, Valiere, Elena, Facchinelli, Gerlinde, Falk, Markus, Dal Cappello, Tomas, Vercellino, Pier Carlo, Andreone, Simona, Busato, Anna, Marzola, Laura, Migliari, Elena, Carletti, Nada, Nenci, Italo, Crocetti, Emanuele, Caldarella, Adele, Corbinelli, Antonella, Giusti, Francesco, Intrieri, Teresa, Manneschi, Gianfranco, Nemcova, Libuse, Romeo, Gianpaolo, Sacchettini, Claudio, Zappa, Marco, Paci, Eugenio, Serraino, Diego, Angelin, Tiziana, Bidoli, Ettore, Dal Maso, Luigino, Dottori, Margherita, Paoli, Angela, Santis, Emilia, Forgiarini, Ornella, Lise, Mauro, Zucchetto, Antonella, Zanier, Loris, Orengo, Maria Antonietta, Casella, Claudia, Marani, Enza, Puppo, Antonella, Celesia, Maria Vittoria, Cogno, Roberta, Manenti, Simone, Garrone, Elsa, Pannozzo, Fabio, Busco, Susanna, Maria Cecilia Cercato, Battisti, Walter, Sperduti, Isabella, Macci, Leonarda, Bugliarello, Ester, Bernazza, Edvige, Tamburo, Lucilla, Rossi, Miriana, Curatella, Simonetta, Francesco, Carla, Tamburrino, Silvana, Bisanti, Luigi, Autelitano, Mariangela, Ghilardi, Simona, Leone, Rosanna, Filipazzi, Luisa, Bonini, Annamaria, Giubelli, Cinzia, Federico, Massimo, Artioli, Maria Elisa, Valla, Katia, Braghiroli, Barbara, Cirilli, Claudia, Luminari, Stefano, Pirani, Monica, Ferrari, Lorenza, Bellatalla, Caterina, Fusco, Maria, Panico, Margherita, Perrotta, Carmela, Vassante, Biagio, Vitale, Maria Francesca, Michiara, Maria, Bozzani, Francesco, Sgargi, Paolo, Tumino, Rosario, La Rosa, Maria Guglielmina, Cascone, Giuseppe, Frasca, Graziella, Giurdanella, Maria Concetta, Martorana, Caterina, Morana, Gabriele, Nicita, Carmela, Rollo, Patrizia Concetta, Ruggeri, Maria Grazia, Sigona, Aurora, Spata, Eugenia, Vacirca, Stefania, Mangone, Lucia, Di Felice, Enza, Pezzarossi, Annamaria, Caroli, Stefania, Pellegri, Carlotta, Vicentini, Massimo, Storchi, Cinzia, Cavuto, Silvio, Costa, Jaqueline, Falcini, Fabio, Colamartini, Americo, Bucchi, Lauro, Balducci, Chiara, Ravegnani, Mila, Vitali, Benedetta, Cordaro, Carlo, Caprara, Licia, Giuliani, Orietta, Giorgetti, Stefania, Salvatore, Silvia, Palumbo, Monica, Vattiato, Rosa, Ravaioli, Alessandra, Foca, Flavia, Rinaldi, Elisa, Mancini, Silvia, Tonelli, Chiara, Amadori, Marinella, Cremone, Luigi, Iannelli, Arturo, Zevola, Arrigo, Budroni, Mario, Cesaraccio, Rosaria, Pirino, Daniela, Carboni, Donatella, Fiori, Giovanna, Soddu, Marcella, Mameli, Gianpaolo, Mura, Francesco, Contrino, Maria Lia, Madeddu, Anselmo, Tisano, Francesco, Sciacca, Salvatore, Muni, Angela, Mizzi, Margherita, Russo, Maria, Sacco, Giorgio, Aletta, Paoletta, Colanino Ziino, Antonio, Tessandori, Roberto, Fanetti, Anna Clara, Maspero, Sergio, Annulli, Monica Lucia, Moroni, Elena, Sanoja Gonzalez, Maria Eugenia, Zanetti, Roberto, Rosso, Stefano, Patriarca, Silvia, Prandi, Rossana, Sobrato, Irene, Gilardi, Franca, Busso, Paola, Piffer, Silvano, Gentilini, Maria A., Battisti, Laura, Rizzello, Roberto, Cappelletti, Maddalena, Moser, Marilena, La Rosa, Francesco, D Alo, Daniela, Scheibel, Massimo, Costarelli, Daniela, Spano, Francesco, Rossini, Stefania, Santucci, Cinzia, Petrinelli, Anna Maria, Solimene, Clotilde, Brunori, Valerio, Crosignani, Paolo, Tagliabue, Giovanna, Contiero, Paolo, Preto, Lucia, Tittarelli, Andrea, Maghini, Anna, Codazzi, Tiziana, Frassoldi, Emanuela, Gada, Daniela, Costa, Enrica, Di Grazia, Laura, Zambon, Paola, Baracco, Maddalena, Bovo, Emanuela, Dal Cin, Antonella, Fiore, Anna Rita, Greco, Alessandra, Monetti, Daniele, Rosano, Alberto, Stocco, Carmen, Tognazzo, Sandro, Donato, Francesco, Limina, Rosa Maria, Adorni, Anna, Andreis, Paolo, Zani, Giuseppe, Piovani, Francesco, Salvi, Ornella, Puleio, Maria, Vitarelli, Susanna, Antonini, Silvia, Candela, Giuseppina, Pappalardo, Giuseppe, Scuderi, Tiziana, Lottero, Barbara, Ribaudo, Michele, Ricci, Paolo, Guarda, Linda, Gatti, Luciana, Bozzeda, Annalaura, Dall Acqua, Maria, Pironi, Vanda, Sutera Sardo, Antonella, Mazzei, Adriana, Sirianni, Nicola, Lavecchia, Anna Maria, Mancuso, Pierina, Usala, Mario, Pala, Filomena, Sini, Giovanna Maria, Pintori, Nicolina, Canu, Luisa, Demurtas, Giuliana, Doa, Nina, Ponz Leon, Maurizio, Domati, Federica, Rossi, Giuseppina, Goldoni, Carlo Alberto, Rossi, Federica, Gaetani, Carmela, Benatti, Piero, Roncucci, Luca, Di Gregorio, Carmela, Pedroni, Monica, Pezzi, Annalisa, Maffei, Stefania, Mariani, Francesco, Borsi, Enrica, Carruba, Giuseppe, Cusimano, Rosanna, Amodio, Rosalba, Dolcemascolo, Cecilia, Staiti, Rosalba, Pastore, Guido, Magnani, Corrado, Terracini, Benedetto, Cena, Tiziana, Alessi, Daniela, Baussano, Iacopo, Merletti, Franco, Maule, Milena, Macerata, Vanda, Cocchioni, Mario, Pascucci, Cristiana, Gennaro, Valerio, Lazzarotto, Anna, Benfatto, Lucia, Mazzucco, Giovanna, Montanaro, Fabio, AIRTUM Working Group: [.., Enrica Borsi, and ]

Subjects
Adult, Aged, 80 and over, Male, Adolescent, Age Factors, Infant, Newborn, Infant, Middle Aged, Survival Analysis, CANCER, Survival Rate, Young Adult, Italy, Organ Specificity, Child, Preschool, Neoplasms, Humans, Female, Registries, Child, Aged
Abstract

INTRODUCTION: population-based survival analyses are fundamental to assess the impact of public health interventions and new therapies in cancer control. This monograph updates previous reports on cancer patient survival in Italy up to the year 2007. MATERIAL AND METHODS: we extracted from the Network of Italian Cancer Registries (AIRTUM) database over 1,490,000 records of tumours diagnosed during 1990-2007 and followed up to the end of 2008, including all multiple tumours. We used the Ederer II method to estimate relative survival (RS) for 29 different types of neoplasm. Five-year relative survival rates were analysed by gender and macroarea. Trends in 5-, 10- and 15-year RS were studied by gender over six 3-year diagnostic periods, from 1990 to 2007. Conditional 5-year RS was also computed by gender and macroarea. Hybrid approaches were applied to exploit the recent survival experiences of cases diagnosed up to 2007. Adjustment for age was performed using EUROCARE weights. Additional sections describe cancer patient survival in childhood and in elderly patients and provide a comparison of cancer patient survival rates in Italy with those of other countries. RESULTS: Standardized 5-year RS for all tumours but skin in 52% for men and 61% for women. Patient survival has improved for almost all types of cancer: from 1990 to 2007 5-year RS has increased by 15% for all cancers but skin; the exceptions are some cancers with poor prognosis, where patient survival has remained basically unchanged. In males, RS was usually lower than in females, but trend analysis shows that the gap is narrowing. We also report persisting lower RS in southern Italy: 5-year RS in the South is usually from 4% to 10% lower than in the North and Centre. CONCLUSION: this study provides valuable information for all stakeholders in cancer control, both in Italy and elsewhere. Increasing survival reflects improvements in various areas of cancer control. On the other hand, delayed diagnosis and suboptimal management are consistent with the reported differences in survival within the country.

Published
2011

63. [New incidence and mortality data. 2003-2005]

Author

Airtum, Working Group, Crocetti, Emanuele, Buzzoni, Carlotta, Serraino, Diego, Vicario, Gianni, Angelin, Tiziana, Bessega, Giuseppina, Bidoli, Ettore, Brunetti, Davide, Dottori, Margherita, Forgiarini, Ornella, French, Susan, Stanta, Giorgio, Zaina, Lucia, Zanier, Loris, Zambon, Paola, Baracco, Maddalena, Bovo, Emanuela, Dal Cin, Antonella, Fiore, Anna Rita, Greco, Alessandra, Guzzinati, Stefano, Monetti, Daniele, Rosano, Alberto, Stocco, Carmen Fiorella, Tognazzo, Sandro, Egarter-Vigl, Eduard, Bello, Francesco, Vittadello, Fabio, Bulatko, Andreas, Luthy, Monika, Facchinelli, Gerlinde, Valiere, Elena, Tschugguel, Birgit, Dorfmann, Hubert, Giacomin, Adriano, Vercellino, Pier Carlo, Andreone, Simona, Ferretti, Stefano, Marzola, Laura, Migliari, Elena, Carletti, Nada, Nenci, Italo, Vitarelli, Susanna, Antonini, Silvia, Federico, Massimo, Artioli, Maria Elisa, Cirilli, Claudia, Fracca, Antonella, Rashid, Ivan, Valla, Katia, Lisi, Vincenzo, Sgargi, Paolo, Bozzani, Francesco, Donato, Andrea, Iannelli, Arturo, Mari, Carmine, Senatore, Gennaro, Zevola, Arrigo, Abbamonte, Benedetto, Alfano, Ida An, Annunziato, Loredana, Barone, Savino, Ferrante, Assunta, Budroni, Mario, Cesaraccio, Rosaria, Pirino, Daniela, Sechi, Ornelia, Piras, Daniela, Sechi, Amelia, Oggiano, Massimiliano, Piffer, Silvano, Franchini, Silva, Gentilini, Maria A., Battisti, Laura, Cappelletti, Maddalena, Falcini, Fabio, Amadori, Dino, Balducci, Chiara, Benericetti, Elisa, Bucchi, Lauro, Caprara, Licia, Colamartini, Americo, Cordaro, Carlo, Desiderio, Franco, Fabbri, Carla, Foca, Flavia, Giorgetti, Stefania, Montanari, Emanuela, Naldi, Stefania, Nannini, Roberto, Ravaioli, Alessandra, Ravegnani, Mila, Rinaldi, Elisa, Salvatore, Silvia, Serafini, Monica, Vattiato, Rosa, Vitali, Benedetta, Pannozzo, Fabio, Busco, Susanna, Natali, Maurilio, Valerio Ramazzotti, Macci, Leonarda, Bugliarello, Ester, Bernazza, Edvige, Tamburo, Lucilla, Rossi, Miriana, Curatella, Simonetta, Sperduti, Isabella, Fusco, Mario, Bellatalla, Caterina, Fusco, Maria, Panico, Margherita, Perrotta, Carmela, Vassante, Biagio, Crosignani, Paolo, Tagliabue, Giovanna, Contiero, Paolo, Fabiano, Sabrina, Maghini, Anna, Tittarelli, Andrea, Codazzi, Tiziana, Frassoldi, Emanuela, Costa, Enrica, Nobile, Silvia, Vigano, Clotilde, Berrino, Franco, Mangone, Lucia, Pezzarossi, Annamaria, Pellegri, Carlotta, Caroli, Stefania, Valentini, Massimo, Cavuto, Silvio, Felice, Enza, Vercelli, Marina, Orengo, Maria Antonietta, Casella, Claudia, Marani, Enza, Puppo, Antonella, Celesia, Maria Vittoria, Cogno, Roberta, Grondona, Anna Maria, Giachero, Giovanna, Manenti, Simone, Quaglia, Alberto, Garrone, Elsa, Paci, Eugenio, Caldarella, Adele, Corbinelli, Antonella, Dainelli, Giulia, Guadagni, Marzia, Intrieri, Teresa, Manneschi, Gianfranco, Miccinesi, Guido, Nemcova, Libuse, Sacchettini, Claudio, Giusti, Francesco, La Rosa, Francesco, Stracci, Fabrizio, Petrinelli, Anna Maria, Costarelli, Daniela, Cassetti, Tiziana, Scheibel, Massimo, Romagnoli, Carlo, Mastrandrea, Vito, Zanetti, Roberto, Rosso, Stefano, Patriarca, Silvia, Vicari, Piera, Sobrato, Irene, Gilardi, Franca, Maglietta, Giusy, Gallesio, Luisa, Tumino, Rosario, Cilia, Sonia, La Rosa, Maria Guglielmina, Cascone, Giuseppe, Cianciolo, Giuseppe, Frasca, Graziella, Giurdanella, Maria Concetta, Martorana, Caterina, Morana, Gabriele, Nicita, Carmela, Rollo, Patrizia, Ruggeri, Maria Grazia, Sigona, Aurora, Spata, Eugenia, Vacirca, Stefania, Bisanti, Luigi, Autelitano, Mariangela, Ghilardi, Simona, Bovini, Annamaria, Giubelli, Cinzia, Tessandori, Roberto, Ardemagni, Giuseppina, Traina, Adele, Candela, Pina, Contrino, Maria Lia, Tisano, Francesco, Madeddu, Anselmo, Ponz Leon, Maurizio, Di Gregorio, Carmela, Roncucci, Luca, Benfatti, Piero, Losi, Lorena, Ponti, Giovanni, Pedroni, Monica, Rossi, Giuseppina, Roncari, Barbara, Maffei, Stefania, Menigatti, Mirco, Rossi, Federica, Pecone, Luana, Domati, Federica, Pastore, Guido, Magnani, Corrado, Terracini, Benedetto, Alessi, Daniela, Dal Masso, Paola, Dama, Elisa, Macerata, Vanda, Maule, Milena, Mosso, Maria Luisa, Nonnato, Marinella, Zuccolo, Luisa, Merletti, Franco, Pannelli, Franco, Pascucci, Cristiana, Gennaro, Valerio, Benfatto, Lucia, Bianchelli, Monica, Lazzarotto, Anna, and Viarengo, Paolo

Subjects
Male, colorectal tumors, Italy, Incidence, Neoplasms, mortality, incidence, Prevalence, Humans, Female
Abstract

This is an update of incidence and mortality cancer data provided by the Italian Network of Cancer Registry (AIRTUM) relative to the period 2003-2005.AIRTUM is a network of general and specialized population-based cancer registries that covers about 1/3 of the Italian resident population (www.registri-tumori.it). Incidence and mortality data for the period 2003-2005 are based on 20 Registries. The five most frequently diagnosed cancers were: - prostate (18.5%), non melanoma skin (15.8%), lung (13.1%), colorectal (12.0%), bladder (5.7%) among males; - breast (24.9%), non melanoma skin (15.1%), colorectal (11.9%), lung (5.0%) and stomach (4.1%) among females. In the same period the most frequent causes of cancer death were: - cancer of the lung (27.6%), colorectal (10.7%), prostate (8.5%), stomach (7.3%) and liver (6.1%) among males; - breast cancer (16.3%), colorectal (11.9%), lung (10.3%), stomach (7.2%) and pancreas (6.5%) among females. According to the age-specific incidence rates one man and one woman every two will receive a cancer diagnosis during his/hers life (from birth to the age of 84 years). From 1993-1995 to 2003-2005, overall crude cancer incidence rate (males and females together) increased from 555.4 to 654.8 x 100,000. Standardization showed that 63% of this increase was due to ageing of the population. Moreover, most of the residual increase was among those cancer sites (breast, prostate, colorectal, thyroid and melanoma) for which early detection may have played a relevant role in anticipating (and therefore increasing) the number of diagnoses. Due to population ageing also overall cancer mortality did not show any decrease when crude rates were compared. On the contrary, standardized mortality rates (all cancers together) showed a strong decrease (311.4 vs. 266.5 x 100.000). The risk of receiving a diagnosis or dying because of cancer is still lower in residents in the regions of the South of Italy than in those of Central and Northern Italy, but they are becoming more and more similar. In Italy cancer incidence and mortality rates are similar to those in northern European countries and in USA among males, but they are still lower for women.

Published
2009

64. Survival After Cancer in Italian Persons With AIDS, 1986–2005

Author

Maso, Luigino Dal, primary, Suligoi, Barbara, additional, Franceschi, Silvia, additional, Braga, Claudia, additional, Buzzoni, Carlotta, additional, Polesel, Jerry, additional, Zucchetto, Antonella, additional, Piselli, Pierluca, additional, Falcini, Fabio, additional, Caldarella, Adele, additional, Zanetti, Roberto, additional, Vercelli, Marina, additional, Guzzinati, Stefano, additional, Russo, Antonio, additional, Tagliabue, Giovanna, additional, Iachetta, Francesco, additional, Ferretti, Stefano, additional, Limina, Rosa M., additional, Mangone, Lucia, additional, Michiara, Maria, additional, Stracci, Fabrizio, additional, Pirino, Daniela R., additional, Piffer, Silvano, additional, Giacomin, Adriano, additional, Vitarelli, Susanna, additional, Mazzoleni, Guido, additional, Iannelli, Arturo, additional, Contrino, Maria L., additional, Fusco, Mario, additional, Tumino, Rosario, additional, Fanetti, Anna C., additional, De Paoli, Paolo, additional, Decarli, Adriano, additional, and Serraino, Diego, additional

Published
2014
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75. Plasma Cell Granuloma—An Enigmatic Lesion

Author

Buccoliero, Anna Maria, primary, Caldarella, Adele, additional, Santucci, Marco, additional, Ammannati, Franco, additional, Mennonna, Pasquale, additional, Taddei, Antonio, additional, and Taddei, Gian Luigi, additional

Published
2003
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80. Oncocytic Meningioma: A Case Report

Author

Caldarella, Adele, primary, Buccoliero, Anna Maria, additional, Marini, Mirca, additional, Taddei, Antonio, additional, Mennonna, Pasquale, additional, and Taddei, Gian Luigi, additional

Published
2002
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82. Immunohistochemistry is highly sensitive and specific for the detection of NRASQ61Rmutation in melanoma

Author

Massi, Daniela, Simi, Lisa, Sensi, Elisa, Baroni, Gianna, Xue, Gongda, Scatena, Cristian, Caldarella, Adele, Pinzani, Pamela, Fontanini, Gabriella, Carobbio, Alessandra, Urso, Carmelo, and Mandalà, Mario

Abstract

Testing for NRASis now integral part in the assessment of metastatic melanoma patients because there is evidence that NRAS-mutated patients may be sensitive to MEK inhibitors, and RASmutation is a common mechanism of acquired resistance during treatment with BRAF inhibitors. This study evaluated the sensitivity and specificity of immunohistochemical analysis using an N-Ras (Q61R) antibody to detect the presence of the NRASQ61Rmutation in melanoma patients. A total of 98 primary cutaneous melanomas that have undergone examination of NRASmutation were retrieved from a multicentric database. Formalin-fixed and paraffin-embedded melanoma tissues were analyzed for BRAFand NRASmutations by independent, blinded observers using both conventional DNA molecular techniques and immunohistochemistry with the novel anti-human N-Ras (Q61R) monoclonal antibody (clone SP174). The antibody showed a sensitivity of 100% (14/14) and a specificity of 100% (83/83) for detecting the presence of an NRASQ61Rmutation. Of the NRAS-mutated cases, none of the non-Q61Rcases stained positive with the antibody (0/7). There were three cases with discordant NRASmutational results. Additional molecular analysis confirmed the immunohistochemically obtained NRASresult in all cases, suggesting that a multiple analytical approach can be required to reach the correct sample classification. The reported immunohistochemical method is an accurate, rapid, and cost-effective method for detecting NRASQ61Rmutation in melanoma patients, and represents a valuable supplement to traditional mutation testing. If validated in further studies, genetic testing would only be required for immunohistochemistry-negative patients to detect non-Q61Rmutations.

Published
2015
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83. Italy, Florence and Prato.

Author

Barchielli, Alessandro, Buzzoni, Carlotta, Caldarella, Adele, Corbinelli, Antonella, di Dia, Pietro Paolo, Intrieri, Teresa, Manneschi, Gianfranco, Nemcova, Libuse, Visioli, Carmen, and Crocetti, Emanuele

Subjects
NERVOUS system, SKIN cancer, GENITALIA, PROSTATE cancer, URINARY organs, CERVIX uteri
Published
2021

84. Cytopathological diagnosis in a cancer registry.

Author

Caldarella, Adele, Crocetti, Emanuele, Taddei, Gian Luigi, and Paci, Eugenio

Subjects
*CYTOLOGICAL research, *TUMOR diagnosis, *CANCER, *MEDICAL records, *DEATH certificates, *HISTOLOGY
Abstract

The article discusses a study on the role of cytology in the diagnosis of tumors. Cancers are identified when a tumor is diagnosed based on clinical records, medical abstracts and death certificates. The article mentions that cancer confirmation is best represented by histology and cytology. It cites that the use of cytology is usually inexpensive and painless and has been primarily used in identifying the difference between benign and malignant tumors.

Published
2007
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85. Molecular Subtypes, Metastatic Pattern and Patient Age in Breast Cancer: An Analysis of Italian Network of Cancer Registries (AIRTUM) Data.

Author

Tagliabue, Giovanna, Fabiano, Sabrina, Contiero, Paolo, Barigelletti, Giulio, Castelli, Maurizio, Mazzoleni, Guido, Boschetti, Lorenza, Fanetti, Anna Clara, Puppo, Antonella, Musolino, Antonino, Cirilli, Claudia, Seghini, Pietro, Mangone, Lucia, Caldarella, Adele, Lotti, Fernanda, Mazzucco, Walter, Benedetto, Andrea, Dinaro, Ylenia Maria, Sferrazza, Ausilia, and Pinna, Pasquala

Subjects
EPIDERMAL growth factor receptors, BREAST cancer, HORMONE receptors, CANCER diagnosis, AGE groups
Abstract

Breast cancer stage at diagnosis, patient age and molecular tumor subtype influence disease progression. The aim of this study was to analyze the relationships between these factors and survival in breast cancer patients among the Italian population using data from the AIRTUM national database. We enrolled women with primary breast cancer from 17 population-based cancer registries. Patients were subdivided into older (>69 years), middle (50–69 years) and younger age groups (<50 years) and their primary tumors categorized into four molecular subtypes based on hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status. There were 8831 patients diagnosed between 2010 and 2012 included. The most represented age group was 50–69 years (41.7%). In 5735 cases the molecular subtype was identified: HER2–/HR+ was the most frequent (66.2%) and HER2+/HR− the least (6.2%). Of the 390 women with metastases at diagnosis, 38% had simultaneous involvement of multiple sites, independent of age and molecular profile. In women with a single metastatic site, bone (20% of cases), liver (11%), lung (7%) and brain (3%) were the most frequent. In the studied age groups with different receptor expression profiles, the tumor metastasized to target organs with differing frequencies, affecting survival. Five-year survival was lowest in women with triple-negative (HER2−/HR–) tumors and women with brain metastases at diagnosis. [ABSTRACT FROM AUTHOR]

Published
2021
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86. [AIRTUM numbers: 200,000 young Italians live with cancer]

Author

Dal Maso, Luigino, Angelis, Roberta, Guzzinati, Stefano, Airtum, Working Group, Paoli, Angela, Buzzoni, Carlotta, Crocetti, Emanuele, Bucchi, Lauro, Casella, Claudia, Cuccaro, Francesco, Fusco, Mario, Luminari, Stefano, Madeddu, Anselmo, Mangone, Lucia, Patriarca, Silvia, Piffer, Silvano, Stracci, Fabrizio, Tagliabue, Giovanna, Tumino, Rosario, Zappa, Marco, Capocaccia, Riccardo, Ferretti, Stefano, Mazzoleni, Guido, Bellu, Francesco, Tschugguel, Birgit, Valiere, Elena, Facchinelli, Gerlinde, Falk, Markus, Dal Cappello, Tomas, Giacomin, Adriano, Vercellino, Pier Carlo, Andreone, Simona, Busato, Anna, Marzola, Laura, Migliari, Elena, Carletti, Nada, Nenci, Italo, Caldarella, Adele, Corbinelli, Antonella, Giusti, Francesco, Intrieri, Teresa, Manneschi, Gianfranco, Nemcova, Libuse, Romeo, Gianpaolo, Sacchettini, Claudio, Paci, Eugenio, Serraino, Diego, Angelin, Tiziana, Bidoli, Ettore, Dottori, Margherita, Santis, Emilia, Forgiarini, Ornella, Zucchetto, Antonella, Zanier, Loris, Vercelli, Marina, Orengo, Maria Antonietta, Marani, Enza, Puppo, Antonella, Celesia, Maria Vittoria, Cogno, Roberta, Manenti, Simone, Garrone, Elsa, Quaglia, Alberto, Pannozzo, Fabio, Busco, Susanna, Rashid, Ivan, Ramazzotti, Valerio, Cercato, M. Cecilia, Battisti, Walter, Sperduti, Isabella, Macci, Leonarda, Bugliarello, Ester, Bernazza, Edvige, Tamburo, Lucilla, Rossi, Miriana, Curatella, Simonetta, Francesco, Carla, Tamburrino, Silvana, Bisanti, Luigi, Autelitano, Mariangela, Randi, Giorgia, Ghilardi, Simona, Leone, Rosanna, Filipazzi, Luisa, Bonini, Annamaria, Giubelli, Cinzia, Federico, Massimo, Artioli, Maria Elisa, Valla, Katia, Braghiroli, Barbara, Cirilli, Claudia, Pirani, Monica, Ferrari, Lorenza, Bellatalla, Caterina, Fusco, Maria, Panico, Margherita, Perrotta, Carmela, Vassante, Biagio, Traina, Adele, Carruba, Giuseppe, Cusimano, Rosanna, Amodio, Rosalba, Dolcemascolo, Cecilia, Staiti, Rosalba, Zarcone, Maurizio, Michiara, Maria, Bozzani, Francesco, Sgargi, Paolo, Cilia, Sonia, La Rosa, Maria Guglielmina, Cascone, Giuseppe, Frasca, Graziella, Giurdanella, Maria Concetta, Martorana, Caterina, Morana, Gabriele, Nicita, Carmela, Rollo, Patrizia, Ruggeri, Maria Grazia, Sigona, Aurora, Spata, Eugenia, Vacirca, Stefania, Di Felice, Enza, Pezzarossi, Annamaria, Caroli, Stefania, Pellegri, Carlotta, Vicentini, Massimo, Storchi, Cinzia, Cavuto, Silvio, Costa, Jaqueline, Falcini, Fabio, Colamartini, Americo, Balducci, Chiara, Ravegnani, Mila, Vitali, Benedetta, Cordaro, Carlo, Caprara, Licia, Giuliani, Orietta, Giorgetti, Stefania, Salvatore, Silvia, Palumbo, Monica, Vattiato, Rosa, Ravaioli, Alessandra, Foca, Flavia, Rinaldi, Elisa, Donato, Andrea, Iannelli, Arturo, Senatore, Gennaro, Zevola, Arrigo, Budroni, Mario, Cesaraccio, Rosaria, Pirino, Daniela, Carboni, Donatella, Fiori, Giovanna, Soddu, Marcella, Mameli, Gianpaolo, Mura, Francesco, Contrino, Maria Lia, Tisano, Francesco, Sciacca, Salvatore, Muni, Angela, Mizzi, Margherita, Russo, Maria, Tessandori, Roberto, Ardemagni, Giuseppina, Gianola, Luigi, Maspero, Sergio, Annulli, Monica Lucia, Moroni, Elena, Roberto, Guglielmana, Zanetti, Roberto, Rosso, Stefano, Prandi, Rossana, Sobrato, Irene, Gilardi, Franca, Busso, Paola, Franchini, Silva, Gentilini, Maria A., Battisti, Laura, Cappelletti, Maddalena, Moser, Marilena, La Rosa, Francesco, D Alo, Daniela, Scheibel, Massimo, Costarelli, Daniela, Spano, Francesco, Rossini, Stefania, Santucci, Cinzia, Petrinelli, Anna Maria, Solimene, Clotilde, Bianconi, Fortunato, Brunori, Valerio, Crosignani, Paolo, Contiero, Paolo, Preto, Lucia, Tittarelli, Andrea, Maghini, Anna, Codazzi, Tiziana, Frassoldi, Emanuela, Gada, Daniela, Costa, Enrica, Di Grazia, Laura, Zambon, Paola, Baracco, Maddalena, Bovo, Emanuela, Dal Cin, Antonella, Fiore, Anna Rita, Greco, Alessandra, Monetti, Daniele, Rosano, Alberto, Stocco, Carmen, Tognazzo, Sandro, Donato, Francesco, Limina, Rosa Maria, Adorni, Anna, Andreis, Paolo, Zani, Giuseppe, Piovani, Francesco, Salvi, Ornella, Puleio, Maria, Vitarelli, Susanna, Antonini, Silvia, Candela, Giuseppina, Pappalardo, Giuseppe, Scuderi, Tiziana, Lottero, Barbara, Ribaudo, Michele, Ricci, Paolo, Guarda, Linda, Gatti, Luciana, Bozzeda, Annalaura, Dall Acqua, Maria, Pironi, Vanda, Sardo, Antonella Sutera, Mazzei, Adriana, Sirianni, Nicola, Lavecchia, Anna Maria, Mancuso, Pierina, Usala, Mario, Pala, Filomena, Sini, Giovanna Maria, Pintori, Nicolina, Canu, Luisa, Demurtas, Giuliana, Doa, Nina, Pisani, Paola, Pastore, Guido, Magnani, Corrado, Terracini, Benedetto, Cena, Tiziana, Alessi, Daniela, Baussano, Iacopo, Merletti, Franco, Maule, Milena, Mosso, Maria Luisa, Nonnato, Marinella, Rasulo, Assunta, Richiardi, Lorenzo, Zuccolo, Luisa, Pivetta, Emanuele, Dalmasso, Paola, Macerata, Vanda, Leon, Maurizio Ponz, Domati, Federica, Rossi, Giuseppina, Goldoni, Carlo Alberto, Rossi, Federica, Gaetani, Carmela, Benatti, Piero, Roncucci, Luca, Di Gregorio, Carmela, Pezzi, Monica Pedroni Annalisa, Maffei, Stefania, Mariani, Francesco, Enrica Borsi, Cocchioni, Mario, Pascucci, Cristiana, Gennaro, Valerio, Lazzarotto, Anna, Benfatto, Lucia, Mazzucco, Giovanna, and Montanaro, Giovanna

87. Italian cancer figures, report 2013: Multiple tumours

Author

Airtum, Working Group, Adamo, Maria Stella, Alessi, Daniela, Aletta, Paoletta, Amodio, Rosalba, Andreone, Simona, Angelin, Tiziana, Anghinoni, Emanuela, Annulli, Monica Lucia, Antonini, Silvia, Artioli, Maria Elisa, Autelitano, Mariangela, Balducci, Chiara, Balottari, Paola, Baracco, Maddalena, Battisti, Walter, Bella, Francesca, Bellatalla, Caterina, Belluardo, Cristiano, Benatti, Piero, Benedetto, Giovanni, Benfatto, Lucia, Bernazza, Edvige, Bianconi, Fortunato, Biavati, Patrizia, Bidoli, Ettore, Birri, Silvia, Bizzoco, Sabrina, Bonelli, Luigina, Bonini, Annamaria, Borciani, Elisabetta, Bovo, Emanuela, Bozzani, Francesco, Bozzeda, Annalaura, Braghiroli, Barbara, Brucculeri, Maria Angela, Brunori, Valerio, Bucalo, Giovanni, Bucchi, Lauro, Bugliarello, Ester, Bulatko, Andreas, Busco, Susanna, Busso, Paola, Buzzoni, Carlotta, Calabretta, Laura, Caldarella, Adele, Candela, Giuseppina, Canu, Luisa, Cappelletti, Maddalena, Caprara, Licia, Carboni, Donatella, Carletti, Nada, Caroli, Stefania, Carone, Simona, Cascio, Maria Antonietta, Cascone, Giuseppe, Casella, Claudia, Castaing, Marine, Cecconami, Lorella, Celesia, Maria Vittoria, Cena, Tiziana, Cercato, Maria Cecilia, Cesaraccio, Rosaria, Chiesa, Roberta, Cirilli, Claudia, Civaschi, Alessandro, Cocchioni, Mario, Codazzi, Tiziana, Cogno, Roberta, Colamartini, Americo, Colanino Ziino, Antonino, Cometti, Ivan, Contiero, Paolo, Contrino, Maria Lia, Corbinelli, Antonella, Cordaro, Carlo, Corti, Mariangela, Costa, Alessandro, Costarelli, Daniela, Cremone, Luigi, Crocetti, Emanuele, Curatella, Simonetta, Cusimano, Rosanna, D Alo, Daniela, D Angelo, Stefania, Dal Cappello, Tomas, Dal Cin, Antonella, Dal Maso, Luigino, Dall Acqua, Maria, Dalsasso, Fernanda, Davini, Chiara, Dottori, Margherita, Maria, Valentina, Santis, Emilia, Valiere, Elena, Dei Tos, Angelo Paolo, Demurtas, Giuliana, Devigli, Elena, Di Felice, Enza, Di Grazia, Laura, Di Gregorio, Carmela, Di Prima, Alessia, Distefano, Rosalba, Doa, Nina, Domati, Federica, Fabiano, Sabrina, Facchinelli, Gerlinde, Falcini, Fabio, Falk, Markus, Fanetti, Anna Clara, Fattoruso, Silvia, Federico, Massimo, Ferrari, Lorenza, Ferretti, Stefano, Fidelbo, Melchiorre, Filipazzi, Luisa, Fiore, Anna Rita, Fiori, Giovanna, Foca, Flavia, Forgiarini, Ornella, Frasca, Graziella, Frassoldi, Emanuela, Frizza, Jacqueline, Fusco, Maria, Fusco, Mario, Gada, Daniela, Garrone, Elsa, Gasparotti, Cinzia, Gatti, Luciana, Gaudiano, Claudia, Gennaro, Valerio, Gentilini, Maria, Gerevini, Claudia, Ghilardi, Simona, Ghisleni, Silvia, Giacomin, Adriano, Giavazzi, Luisa, Gilardi, Franca, Giorgetti, Stefania, Giubelli, Cinzia, Giuliani, Orietta, Giurdanella, Maria Concetta, Gola, Gemma, Goldoni, Carlo Alberto, Golizia, Maria Grazia, Grandi, Luigi, Greco, Alessandra, Guarda, Linda, Guttadauro, Agnese, Guzzinati, Stefano, Iachetta, Francesco, Iannelli, Arturo, Ieni, Antonio, Intrieri, Teresa, Kaleci, Shaniko, La Rosa, Francesco, Lando, Cecilia, Lavecchia, Anna Maria, Lazzarato, Fulvio, Leone, Anna, Leone, Rosanna, Lonati, Fulvio, Lottero, Barbara, Lucchi, Silvia, Luminari, Stefano, Macci, Leonarda, Macerata, Vanda, Madeddu, Anselmo, Maffei, Stefania, Maghini, Anna, Magnani, Corrado, Magnani, Giulia, Magoni, Michele, Mameli, Gianpaolo, Mancini, Silvia, Mancuso, Pierina, Mangone, Lucia, Manneschi, Gianfranco, Mannino, Rita, Mannino, Salvatore, Marani, Enza, Mariani, Francesco, Martorana, Caterina, Marzola, Laura, Maspero, Sergio, Maule, Milena, Mazzei, Adriana, Mazzoleni, Guido, Mazzucco, Giovanna, Melcarne, Anna, Merletti, Franco, Michiara, Maria, Migliari, Elena, Minerba, Sante, Minicuzzi, Antonia, Mizzi, Margherita, Monetti, Daniele, Morana, Gabriele, Moroni, Elena, Mosso, Maria Luisa, Muni, Angela, Mura, Francesco, Natali, Maurilio, Nemcova, Libuse, Nicita, Carmela, Ocello, Cristina, Paci, Eugenio, Pala, Filomena, Palumbo, Monica, Panico, Margherita, Pannozzo, Fabio, Pascucci, Cristiana, Pastore, Guido, Patriarca, Silvia, Pedroni, Monica, Pellegri, Carlotta, Perrotta, Carmela, Pesce, Paola, Petrinelli, Anna Maria, Petrucci, Chiara, Pezzarossi, Annamaria, Piffer, Silvano, Pintori, Nicolina, Pirani, Monica, Pirino, Daniela, Pironi, Vanda, Ponz Leon, Maurizio, Prandi, Rossana, Prazzoli, Rita, Preto, Lucia, Puleio, Maria, Puppo, Antonella, Quaglia, Alberto, Quarta, Fabrizio, Quattrocchi, Maria, Raho, Anna Maria, Valerio Ramazzotti, Rashid, Ivan, Ravaioli, Alessandra, Ravazzolo, Barbara, Ravegnani, Mila, Reggiani-Bonetti, Luca, Ribaudo, Michele, Rinaldi, Elisa, Ricci, Paolo, Rizzello, Roberto, Rollo, Patrizia Concetta, Roncucci, Luca, Rosano, Alberto, Rossi, Federica, Rossi, Giuseppina, Rossi, Miriana, Rossini, Stefania, Rosso, Stefano, Rudisi, Giuseppa, Ruggeri, Maria Grazia, Russo, Antonio Giampiero, Russo, Maria, Sacchettini, Claudio, Sacco, Giorgio, Sacerdote, Carlotta, Salvatore, Silvia, Salvi, Ornella, Sampietro, Giuseppe, Sandrini, Monica, Santucci, Cinzia, Scheibel, Massimo, Schiacchitano, Salvatore, Sciacca, Salvatore, Sciacchitano, Carlo, Scuderi, Tiziana, Sechi, Ornelia, Seghini, Pietro, Senatore, Gennaro, Serafini, Giuseppina, Serraino, Diego, Sgargi, Paolo, Sigona, Aurora, Sini, Giovanna Maria, Sobrato, Irene, Soddu, Marcella, Solimene, Clotilde, Spano, Francesco, Spata, Eugenia, Sperduti, Isabella, Staiti, Rosalba, Stocco, Carmen, Stracci, Fabrizio, Sunseri, Raffaella, Sardo, Antonella Sutera, Tagliabue, Giovanna, Tamburo, Lucilla, Tamburrino, Silvana, Tanzarella, Margherita, Terracini, Benedetto, Tessandori, Roberto, Tisano, Francesco, Tittarelli, Andrea, Tognazzo, Sandro, Torrisi, Antonietta, Torrisi, Antonina, Traina, Adele, Trapani, Carlo, Tschugguel, Birgit, Tumino, Rosario, Usala, Mario, Vacirca, Stefania, Valerio, Orsola, Valla, Katia, Varvara, Massimo, Vasquez, Enrico, Vassante, Biagio, Vattiato, Rosa, Vercelli, Marina, Vercellino, Pier Carlo, Vicentini, Massimo, Villa, Marco, Vitale, Francesco, Vitale, Maria Francesca, Vitali, Benedetta, Vitarelli, Susanna, Zanchi, Andreina, Zanetti, Roberto, Zani, Giuseppe, Zanier, Loris, Zappa, Marco, Zarcone, Maurizio, Zevola, Arrigo, Zucchetto, Antonella, Zucchi, Alberto, Buzzoni, C, Crocetti, E, Bella, F, Bonelli, L, Caldarella, A, Castaing, M, Cercato, MC, Dal Maso, L, Dei Tos, AP, Ferretti, S, Giacomin, A, Pannozzo, F, Mazzoleni, G, Patriarca, S, Petrucci, S, Pisani, P, Ponz de Leon, P, Quaglia, A, Ramazzotti, V, Tumino, R, Vercelli, M, and Vitale, F

Subjects
Adult, Male, Data Interpretation, cancer incidence, Adolescent, Epidemiology, Settore MED/42 - Igiene Generale E Applicata, Neoplasms, Multiple Primary, Cohort Studies, Young Adult, Multiple Primary, Risk Factors, Neoplasms, 80 and over, Humans, Child, Preschool, Aged, Retrospective Studies, Aged, 80 and over, Incidence, Environmental and Occupational Health, multiple tumour, Infant, Neoplasms, Second Primary, italian cancer, multiple tumours, Statistical, Middle Aged, Multiple primary cancer incidence, Child, Preschool, Data Interpretation, Statistical, Female, Italy, Second Primary, Public Health, Environmental and Occupational Health, Public Health
Abstract

This collaborative study, based on data collected by the network of Italian association of cancer registries (AIRTUM), provides updated estimates on the incidence risk of multiple primary cancer (MP). The objective is to highlight and quantify the bidirectional associations between different oncological diseases. The quantification of the excess or decreased risk of further cancers in cancer patients, in comparison with the general population, may contribute to understand the aetiology of cancer and to address clinical follow-up.Data herein presented were provided by AIRTUM population-based cancer registries, which cover nowadays 48% of the Italian population. This monograph utilizes the AIRTUM database (December 2012), considering all malignant cancer cases diagnosed between 1976 and 2010. All cases are coded according to ICD-O-3. Non-melanoma skin cancer cases, cases based on death certificate only, cases based on autopsy only, and cases with follow-up time equal to zero were excluded. To define multiple primaries, IARC-IACR rules were adopted (http://www.iacr.com.fr/MPrules_july2004.pdf). Data were subjected to standard quality control procedures (described in the AIRTUM data management protocol) and specific quality control checks defined for the present study. A cohort of cancer patients was followed over time from first cancer diagnosis until the date of second cancer diagnosis, death, or the end of follow-up, to evaluate whether the number of observed second cancer cases was greater than expected. Person years at risk (PY) were computed by first cancer site, geographic area (North, Centre, South and Islands), attained age, and attained calendar-year group. All second cancers diagnosed in the cohort's patients were included in the observed numbers of cases. The expected number of cancer cases was computed multiplying the accumulated PY by the expected rates, calculated from the AIRTUM database stratified by cancer site, geographic area, age, and calendar-year group. The Standardized Incidence Ratio (SIR) was calculated as the ratio of observed to expected cancer cases. The Excess Absolute Risk (EAR) beyond the expected amount were calculated subtracting the expected number of subsequent cancers from the observed number of cancer cases; the difference was then divided by the PY and the number of cancer cases in excess (or deficit) was expressed per 1,000 PY. Confidence intervals were stated at 95%. The two months (60 days) after first cancer diagnosis were defined as "synchronicity period", and in the main analysis observed and expected cases during this period were excluded. It was estimated the excess risk in the period after first diagnosis (≥ 0 months), excluding the synchronicity period (≥ 2 months), and during the following periods: 2-11, 12-59, 60-119 and 120 months after diagnosis. First-cancer-site-and-gender-specific sheets are presented, reporting both SIRs and EARs.For 5,979,338 person-years a cohort of 1,635,060 cancer patients (880,361 males and 754,699 females) diagnosed between 1976 and 2010 was followed. The mean follow-up length was 14 years. Overall, 85,399 metachronous (latency ≥2 months) cancers were observed, while 77,813 were expected during the study period: SIR: 1.10 (95%CI 1.09-1.10), EAR: 1.32 x 1,000 person-years (95%CI 1.19 - 1.46). The SIR was 1.08 (95%CI 1.08-1.09) for men (54,518 observed and 50,260 expected) and 1.12 (95%CI 1.11-1.13) for women (30,881/27,553), and the EAR 1.61 (95%CI 1.37-1.84) and 1.08 x 1,000 person-years (95%CI 0.93-1.24), respectively.Moreover, during the first two months after first cancer diagnosis (synchronous period) 14,807 cancers were observed while 3,536 were expected (SIR: 4.16; 95%CI 4.09-4.22); the SIR was 4.08 (95%CI 4.00-4.16) for men and 4.32 (95%CI 4.20-4.45) for women.The mean age of patients at first cancer diagnosis was 67.0 years among males and 65.8 among females.The risk of MP was related to age being higher for younger patients and lower for older ones. In relation to the time of first cancer diagnosis, the SIR was very high at the beginning and then decreased, although remaining constantly over 1, and then rose over time. No strong differences were evident across the different incidence periods, which all showed an increased MP risk.Women had higher SIRs than expected for 18 cancer sites, men for 12. The statistically significantly SIRs lower than 1 were 2 and 8, respectively. Increased overall MP risk was observed for patients of both sexes with a first primary in the oral cavity (SIR men: 1.93; SIR women: 1.48), pharynx (SIR men: 2.13; SIR women: 1.99), larynx (SIR men: 1.57; SIR women: 1.79), oesophagus (SIR men: 1.45; SIR women: 1.41), lung (SIR men: 1.09; SIR women: 1.13), kidney (SIR men: 1.14; SIR women: 1.15), urinary bladder (SIR men: 1.29; SIR women: 1.22), thyroid (SIR: 1.22 in both sexes), Hodgkin lymphoma (SIR men: 1.59; SIR women: 1.94), and non-Hodgkin lymphoma (SIR men: 1.13; SIR women: 1.12), and for the heterogeneous group "other sites" (SIR men: 1.09; SIR women: 1.07). Moreover, men had a higher MP risk if the first cancer was in the testis (SIR: 1.24), while the same was true for women with gallbladder (SIR: 1.21), skin melanoma (SIR: 1.17), bone (SIR: 1.41), breast (SIR: 1.12), cervix uteri (SIR: 1.23) and corpus uteri (SIR: 1.23), and ovarian cancer (SIR: 1.18). On the contrary, a first liver or pancreas cancer were associated with a decreased MP risk in both sexes (liver SIR: 0.86 and 0.81 for men and women, respectively; pancreas SIR: 0.70 and 0.78 for men and women, respectively), as were those of colon (SIR: 0.93), rectum (SIR: 0.83), gallbladder (SIR: 0.80), prostate (SIR: 0.93), mesothelioma (SIR: 0.65), and central nervous system (SIR: 0.82) among men. Among the cancers for which the EAR is statistically significant, those with higher Excess Absolute Risk of MP were those of the oral cavity (EAR: 16.0 x 1,000 person-years in men and 5.4 in women), pharynx (17.6 and 9.1), larynx (11.4 and 8.8), and oesophagus (8.5 and 4.8).This descriptive study provides quantitative information on the risk of developing a second cancer in an Italian population-based cohort of approximately 1.65 million cancer patients, compared to the risk of the general population. During the follow-up time (on average 14 years) cancer patients had an MP risk that was 10% higher in comparison to the general population and an Excess Absolute Risk of 1.32 x 1,000 person-years. Study of MPs and their risk measures are dependent on methods used in the calculation. The definition of MP is not univocal and using different rules can greatly change the number of cancers in a patient with MPs. However, the AIRTUM cancer registries adopt the same recommendations for MP definition. This monograph was therefore made possible by the shared rules and standards used by AIRTUM registries. The cancer site-specific sheets, which represent the core of the monograph, can be useful to highlight and quantify the bidirectional associations among different diseases and therefore provide indications for clinical follow-up. Lifestyle changes in more healthful directions can have a positive effect in the cancer patient population and should always be recommended.

88. [Italian cancer figures, report 2010: Cancer prevalence in Italy. Patients living with cancer, long-term survivors and cured patients]

Author

Airtum, Working Group, Guzzinati, Stefano, Dal Maso, Luigino, Angelis, Roberta, Paoli, Angela, Buzzoni, Carlotta, Crocetti, Emanuele, Bucchi, Lauro, Casella, Claudia, Cuccaro, Francesco, Fusco, Mario, Luminari, Stefano, Madeddu, Anselmo, Mangone, Lucia, Patriarca, Silvia, Piffer, Silvano, Stracci, Fabrizio, Tagliabue, Giovanna, Tumino, Rosario, Zappa, Marco, Capocaccia, Riccardo, Ferretti, Stefano, Mazzoleni, Guido, Bellu, Francesco, Tschugguel, Birgit, Valiere, Elena, Facchinelli, Gerlinde, Falk, Markus, Dal Cappello, Tomas, Giacomin, Adriano, Vercellino, Pier Carlo, Andreone, Simona, Busato, Anna, Marzola, Laura, Migliari, Elena, Carletti, Nada, Nenci, Italo, Caldarella, Adele, Corbinelli, Antonella, Giusti, Francesco, Intrieri, Teresa, Manneschi, Gianfranco, Nemcova, Libuse, Romeo, Gianpaolo, Sacchettini, Claudio, Paci, Eugenio, Serraino, Diego, Angelin, Tiziana, Bidoli, Ettore, Dottori, Margherita, Santis, Emilia, Forgiarini, Ornella, Zucchetto, Antonella, Zanier, Loris, Vercelli, Marina, Orengo, Maria Antonietta, Marani, Enza, Puppo, Antonella, Celesia, Maria Vittoria, Cogno, Roberta, Manenti, Simone, Garrone, Elsa, Quaglia, Alberto, Pannozzo, Fabio, Busco, Susanna, Rashid, Ivan, Ramazzotti, Valerio, Cercato, M. Cecilia, Battisti, Walter, Sperduti, Isabella, Macci, Leonarda, Bugliarello, Ester, Bernazza, Edvige, Tamburo, Lucilla, Rossi, Miriana, Curatella, Simonetta, Francesco, Carla, Tamburrino, Silvana, Bisanti, Luigi, Autelitano, Mariangela, Randi, Giorgia, Ghilardi, Simona, Leone, Rosanna, Filipazzi, Luisa, Bonini, Annamaria, Giubelli, Cinzia, Federico, Massimo, Artioli, Maria Elisa, Valla, Katia, Braghiroli, Barbara, Cirilli, Claudia, Pirani, Monica, Ferrari, Lorenza, Bellatalla, Caterina, Fusco, Maria, Panico, Margherita, Perrotta, Carmela, Vassante, Biagio, Traina, Adele, Carruba, Giuseppe, Cusimano, Rosanna, Amodio, Rosalba, Dolcemascolo, Cecilia, Staiti, Rosalba, Zarcone, Maurizio, Michiara, Maria, Bozzani, Francesco, Sgargi, Paolo, Cilia, Sonia, La Rosa, Maria Guglielmina, Cascone, Giuseppe, Frasca, Graziella, Giurdanella, Maria Concetta, Martorana, Caterina, Morana, Gabriele, Nicita, Carmela, Rollo, Patrizia, Ruggeri, Maria Grazia, Sigona, Aurora, Spata, Eugenia, Vacirca, Stefania, Di Felice, Enza, Pezzarossi, Annamaria, Caroli, Stefania, Pellegri, Carlotta, Vicentini, Massimo, Storchi, Cinzia, Cavuto, Silvio, Costa, Jaqueline, Falcini, Fabio, Colamartini, Americo, Balducci, Chiara, Ravegnani, Mila, Vitali, Benedetta, Cordaro, Carlo, Caprara, Licia, Giuliani, Orietta, Giorgetti, Stefania, Salvatore, Silvia, Palumbo, Monica, Vattiato, Rosa, Ravaioli, Alessandra, Foca, Flavia, Rinaldi, Elisa, Donato, Andrea, Iannelli, Arturo, Senatore, Gennaro, Zevola, Arrigo, Budroni, Mario, Cesaraccio, Rosaria, Pirino, Daniela, Carboni, Donatella, Fiori, Giovanna, Soddu, Marcella, Mameli, Gianpaolo, Mura, Francesco, Contrino, Maria Lia, Tisano, Francesco, Sciacca, Salvatore, Muni, Angela, Mizzi, Margherita, Russo, Maria, Tessandori, Roberto, Ardemagni, Giuseppina, Gianola, Luigi, Maspero, Sergio, Annulli, Monica Lucia, Moroni, Elena, Roberto, Guglielmana, Zanetti, Roberto, Rosso, Stefano, Prandi, Rossana, Sobrato, Irene, Gilardi, Franca, Busso, Paola, Franchini, Silva, Gentilini, Maria A., Battisti, Laura, Cappelletti, Maddalena, Moser, Marilena, La Rosa, Francesco, D Alo, Daniela, Scheibel, Massimo, Costarelli, Daniela, Spano, Francesco, Rossini, Stefania, Santucci, Cinzia, Petrinelli, Anna Maria, Solimene, Clotilde, Bianconi, Fortunato, Brunori, Valerio, Crosignani, Paolo, Contiero, Paolo, Preto, Lucia, Tittarelli, Andrea, Maghini, Anna, Codazzi, Tiziana, Frassoldi, Emanuela, Gada, Daniela, Costa, Enrica, Di Grazia, Laura, Zambon, Paola, Baracco, Maddalena, Bovo, Emanuela, Dal Cin, Antonella, Fiore, Anna Rita, Greco, Alessandra, Monetti, Daniele, Rosano, Alberto, Stocco, Carmen, Tognazzo, Sandro, Donato, Francesco, Limina, Rosa Maria, Adorni, Anna, Andreis, Paolo, Zani, Giuseppe, Piovani, Francesco, Salvi, Ornella, Puleio, Maria, Vitarelli, Susanna, Antonini, Silvia, Candela, Giuseppina, Pappalardo, Giuseppe, Scuderi, Tiziana, Lottero, Barbara, Ribaudo, Michele, Ricci, Paolo, Guarda, Linda, Gatti, Luciana, Bozzeda, Annalaura, Dall Acqua, Maria, Pironi, Vanda, Sutera Sardo, Antonella, Mazzei, Adriana, Sirianni, Nicola, Lavecchia, Anna Maria, Mancuso, Pierina, Usala, Mario, Pala, Filomena, Sini, Giovanna Maria, Pintori, Nicolina, Canu, Luisa, Demurtas, Giuliana, Doa, Nina, Pisani, Paola, Pastore, Guido, Magnani, Corrado, Terracini, Benedetto, Cena, Tiziana, Alessi, Daniela, Baussano, Iacopo, Merletti, Franco, Maule, Milena, Mosso, Maria Luisa, Nonnato, Marinella, Rasulo, Assunta, Richiardi, Lorenzo, Zuccolo, Luisa, Pivetta, Emanuele, Dalmasso, Paola, Macerata, Vanda, Ponz Leon, Maurizio, Domati, Federica, Rossi, Giuseppina, Goldoni, Carlo Alberto, Rossi, Federica, Gaetani, Carmela, Benatti, Piero, Roncucci, Luca, Di Gregorio, Carmela, Pedroni, Monica, Pezzi, Annalisa, Maffei, Stefania, Mariani, Francesco, Enrica Borsi, Cocchioni, Mario, Pascucci, Cristiana, Gennaro, Valerio, Lazzarotto, Anna, Benfatto, Lucia, Mazzucco, Giovanna, Montanaro, Fabio, AIRTUM Working Group […, Enrica, Borsi, and …]

Subjects
Adult, Male, Time Factors, Adolescent, Databases, Factual, Remission Induction, Infant, Middle Aged, CANCER, Cancer prevalence, Italy, Epidemiologic Studies, Young Adult, Child, Preschool, Neoplasms, Prevalence, Humans, Long-term survivors, Female, Registries, Survivors, Child, Aged
Abstract

OBJECTIVES: the aim of the present monograph is to update the estimation of the number of people living with cancer in Italy, to describe geographic variability, and estimate the number of long-term survivors, i.e., people living five years or more after a cancer diagnosis. MATERIALS AND METHODS: the study included the data of the AIRTUMdatabase. Twenty-four Cancer Registries (CRs) (covering 27% of the Italian population) collected information on the incidence and vital status of 1,275,353 cases diagnosed between 1978 and 2005. For each CR, the observed prevalence was calculated up to the maximum observable duration. To estimate the complete prevalence (all living patients, independently from time since diagnosis) and the prevalence for lengths of time exceeding the CR maximum duration of registration, the observed prevalence was corrected through a completeness index. Completeness indices, gender, age and site specific, were estimated by means of statistical regression models using cancer incidence and survival data available from CRs with more than 15 years of observation. As of 1 January 2006, the prevalence was estimated (as absolute numbers and as a proportion per 100,000 inhabitants) for 46 cancer sites, by gender, age class, years since diagnosis and geographic areas. RESULTS: as of 2006, 2,244,000 persons (4%of the Italian population) were alive with a cancer diagnosis. A relevant geographic variability emerged, with proportions between 4%-5% among CRs in the Centre and North of Italy, and proportions between 2%-3% in the South. Forty-four percent of prevalent subjects (988,000) were males and 56% (1,256,000) females. Fifty-seven percent (1,285,680 people, 2.2% of total population) of these patients was represented by long-term survivors. In patients aged 75 years or more, the proportions of prevalent cases were 19%in males and 13%in females, and 10%between 60 and 75 years of age in both genders.More than half a million Italian women were alive with a breast cancer diagnosis (42%of women with a neoplasm), followed by women with cancers of the colonrectum (12%), corpus uteri (7%), thyroid (5%), and cervix uteri (4%). In men, 22%of prevalent cases (216,716) included patients with prostate cancer, 18% with bladder cancer, and 15%with colon-rectum cancer. Percentages of long-term survivors higher than 70% were reported for cancers of the cervix uteri (82% at five years, and 55% at 15 years from diagnosis), Hodgkin lymphoma, testis, brain and central nervous system, bone and connective tissue. Many patients with these types of cancers (often occurring in young people) can be considered "cured", i.e., with a life expectancy overlapping that of the general population.The estimated proportions of prevalent cases emerging from this study in Italy were quite similar to those reported in Northern Europe, but at least 15%lower than those in the United States. CONCLUSIONS: in 2006, the number of prevalent cases nearly doubled compared to 1992. The increase over time in the proportion of elderly patients, related to population ageing, requires adequate health policies. Knowing the number of people alive many years after cancer diagnosis (either cured or long-term survivors) provides the scientific bases for the definition of health policies focusing on them. Furthermore, it promotes the conduction of studies aimed at improving the present knowledge on the quality of life of these patients during and after the active phase of treatments, in addition to studies on the long-term effects of treatments.

89. Trends in Net Survival from Vulvar Squamous Cell Carcinoma in Italy (1990–2015)

Author

Silvia Mancini, Lauro Bucchi, Federica Zamagni, Flavia Baldacchini, Emanuele Crocetti, Orietta Giuliani, Alessandra Ravaioli, Rosa Vattiato, Mario Preti, Rosario Tumino, Stefano Ferretti, Annibale Biggeri, Paola Ballotari, Lorenza Boschetti, Angelita Brustolin, Adele Caldarella, Rossella Cavallo, Claudia Cirilli, Annarita Citarella, Maria L. Contrino, Luigino Dal Maso, Rosa A. Filiberti, Mario Fusco, Rocco Galasso, Fernanda L. Lotti, Michele Magoni, Lucia Mangone, Giuseppe Masanotti, Guido Mazzoleni, Walter Mazzucco, Anna Melcarne, Maria Michiara, Paola Pesce, Angela Pinto, Daniela Piras, Roberto V. Rizzello, Magda Rognoni, Stefano Rosso, Massimo Rugge, Giuseppe Sampietro, Santo Scalzi, Tiziana Scuderi, Giovanna Tagliabue, Federica Toffolutti, Susanna Vitarelli, Fabio Falcini, Mancini, Silvia, Bucchi, Lauro, Zamagni, Federica, Baldacchini, Flavia, Crocetti, Emanuele, Giuliani, Orietta, Ravaioli, Alessandra, Vattiato, Rosa, Preti, Mario, Tumino, Rosario, Ferretti, Stefano, Biggeri, Annibale, Ballotari, Paola, Boschetti, Lorenza, Brustolin, Angelita, Caldarella, Adele, Cavallo, Rossella, Cirilli, Claudia, Citarella, Annarita, Contrino, Maria L., Dal Maso, Luigino, Filiberti, Rosa A., Fusco, Mario, Galasso, Rocco, Lotti, Fernanda L., Magoni, Michele, Mangone, Lucia, Masanotti, Giuseppe, Mazzoleni, Guido, Mazzucco, Walter, Melcarne, Anna, Michiara, Maria, Pesce, Paola, Pinto, Angela, Piras, Daniela, Rizzello, Roberto V., Rognoni, Magda, Rosso, Stefano, Rugge, Massimo, Sampietro, Giuseppe, Scalzi, Santo, Scuderi, Tiziana, Tagliabue, Giovanna, Toffolutti, Federica, Vitarelli, Susanna, and Falcini, Fabio

Subjects
trend, vulvar neoplasm, vulvar neoplasms, General Medicine, Settore MED/42 - Igiene Generale E Applicata, survival
Abstract

(1) Objective: In many Western countries, survival from vulvar squamous cell carcinoma (VSCC) has been stagnating for decades or has increased insufficiently from a clinical perspective. In Italy, previous studies on cancer survival have not taken vulvar cancer into consideration or have pooled patients with vulvar and vaginal cancer. To bridge this knowledge gap, we report the trend in survival from vulvar cancer between 1990 and 2015. (2) Methods: Thirty-eight local cancer registries covering 49% of the national female population contributed the records of 6274 patients. Study endpoints included 1- and 2-year net survival (NS) calculated using the Pohar-Perme estimator and 5-year NS conditional on having survived two years (5|2-year CNS). The significance of survival trends was assessed with the Wald test on the coefficient of the period of diagnosis, entered as a continuous regressor in a Poisson regression model. (3) Results: The median patient age was stable at 76 years. One-year NS decreased from 83.9% in 1990–2001 to 81.9% in 2009–2015 and 2-year NS from 72.2% to 70.5%. Five|2-year CNS increased from 85.7% to 86.7%. These trends were not significant. In the age stratum 70–79 years, a weakly significant decrease in 2-year NS from 71.4% to 65.7% occurred. Multivariate analysis adjusting for age group at diagnosis and geographic area showed an excess risk of death at 5|2-years, of borderline significance, in 2003–2015 versus 1990–2002. (4) Conclusions: One- and 2-year NS and 5|2-year CNS showed no improvements. Current strategies for VSCC control need to be revised both in Italy and at the global level.

Published
2023
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90. Prevalence and indicators of cure of Italian women with vulvar squamous cell carcinoma: A population-based study.

Author

Bucchi L, Giudici F, Toffolutti F, De Paoli A, Mancini S, Preti M, Gatta G, Ferretti S, Crocetti E, Fiore AR, Bidoli E, Caldarella A, Falcini F, Gili A, Cuccaro F, Gambino ML, Casella C, Cavallo R, Ferrante M, Migliore E, Carrozzi G, Musolino A, Mazzucco W, Gasparotti C, Fusco M, Ballotari P, Sampietro G, Mangone L, Mantovani W, Cascone G, Mian M, Manzoni F, Pesce MT, Galasso R, Bella F, Seghini P, Fanetti AC, Piras D, Pinna P, Serraino D, Guzzinati S, and Dal Maso L

Abstract

Objective: Five-year net survival and conditional survival from vulvar squamous cell carcinoma (VSCC) patients in Italy have shown no progress during the past three decades. This study aims to estimate the complete prevalence and multiple indicators of cure., Methods: Observed prevalence was estimated using 31 Italian cancer registries covering 47 % of Italian women. A subset of 22 cancer registries was used to estimate model-based long-term survival and indicators of cure, i.e., complete prevalence, cure fraction (CF), time to cure (TTC), proportion of 'already cured' patients, and cure prevalence., Results: In 2018, VSCC patients alive in Italy (complete prevalence) were 6620 or 22 per 100,000 women. The cure fraction (the proportion of newly diagnosed patients who will not die of VSCC) did not change between 2000 and 2010 both for all patients (32 %) and in each age group. The time to cure (5-year conditional net survival >95 %) was 11 years for patients aged ≥44 years, but excess mortality remained for >15 years in the other age groups. This led to a negligible (5 %) proportion of 'already cured' patients (living longer than time to cure). The proportion of patients alive <2 years (21 %) was the same as that of patients surviving ≥15 years. The cure prevalence (patients who will not die of VSCC) was 64 %. A considerable proportion of patients will not be cured even among those who survived ≥5 years., Conclusion: There is an urgent need to reshape the current vulvar care model in Italy., Competing Interests: Declaration of competing interest Emanuele Crocetti declares an epidemiological advice for Astrazeneca, not related to this study. The author Gemma Gatta is a Guest Editor for the European Journal of Surgical Oncology and was not involved in the editorial review or the decision to publish this article., (Copyright © 2024 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.)

Published
2024
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91. The descriptive epidemiology of melanoma in Italy has changed - for the better.

Author

Bucchi L, Mancini S, Crocetti E, Dal Maso L, Baldacchini F, Vattiato R, Giuliani O, Ravaioli A, Zamagni F, Bella F, Bidoli E, Caldarella A, Candela G, Carone S, Carrozzi G, Cavallo R, Ferrante M, Ferretti S, Filiberti RA, Fusco M, Gatti L, Gili A, Iacovacci S, Magoni M, Mangone L, Mazzoleni G, Michiara M, Musolino A, Piffer S, Piras D, Rizzello RV, Rosso S, Rugge M, Scala U, Stracci F, Tagliabue G, Toffolutti F, Tumino R, Biggeri A, Masini C, Ridolfi L, Villani S, Palmieri G, Stanganelli I, and Falcini F

Subjects
Male, Humans, Female, Italy epidemiology, Biopsy, Immune Checkpoint Inhibitors, Molecular Targeted Therapy, Melanoma epidemiology
Abstract

A recent research project using data from a total of 40 cancer registries has provided new epidemiologic insights into the results of efforts for melanoma control in Italy between the 1990s and the last decade. In this article, the authors present a summary and a commentary of their findings. Incidence increased significantly throughout the study period in both sexes. However, the rates showed a stabilization or a decrease in men and women aged below 35 years. The risk of disease increased for successive cohorts born until 1973 (women) and 1975 (men) while subsequently tending to decline. The trend towards decreasing tumor thickness and increasing survival has continued, but a novel favorable prognostic factor has emerged since 2013 for patients - particularly for males - with thick melanoma, most likely represented by molecular targeted therapies and immune checkpoint inhibitors. Due to this, the survival gap between males and females has been filled out. In the meanwhile, and despite the incidence increase, dermatologists have not lowered their threshold to perform skin biopsy. Skin biopsy rate has increased because of the increasingly greater volume of dermatologic office visits, but the proportion of skin biopsies out of dermatologic office visits has remained constant. In summary, an important breakthrough in melanoma control in Italy has taken place. Effective interventions have been implemented across the full scope of care, which involve many large local populations - virtually the whole national population. The strategies adopted during the last three decades represent a valuable basis for further steps ahead in melanoma control in Italy.

Published
2023
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92. Breast Cancer in Italy: Stage and Region Distribution.

Author

Mangone L, Bisceglia I, Michiara M, Musolino A, Mazzoleni G, Caldarella A, Minerba S, Cascone G, Bella F, Dinaro Y, Pau L, and Pinto C

Abstract

Purpose: Describe breast cancer in Italy by age, geographical area, stage and sites of metastases. In addition, incident and prevalent cases by region are provided., Patients and Methods: This population-based study included all female patients with histologically confirmed breast cancer diagnosed in Italy between 2013 and 2019 in the eight participating Cancer Registries. Cases were described by geographic area (north, center, south), age group (<50, 50-69 and 70+) and site of metastases. In addition, the study also provided an estimate of the cases of metastatic breast cancer per single region., Results: Of the total 5731 cases, the number of unknown stage cases (eliminated from our analyses) was 545 (10.5% of cases); therefore, the study was conducted on 5186 cases. Overall, 333 (6.5%) of tumors were metastatic at diagnosis but the distribution by geographical area was different: 5.1% in the north, 7.4% in the center and 7.8% in the south. Related to age, 5.6% were diagnosed before the age of 50 and 5.6% within the screening target group (50-69 years), while in elderly women the percentage rose to 8.1%. As regards the site of the metastases, 27.1% developed metastasis to the bone, 12.4% to the liver, 8.6% to the lung and 2.6% to the brain; in 34.9%, multiple sites were already present at the beginning of the cancer. Overall, 3520 cases of incident mBC are estimated in Italia every year (520 in Lombardy in northern Italy, 350 in Lazio in the center, followed by 330 in Campania in the south), and finally they are out of 52,000 prevalent cases., Conclusion: A greater possibility of treating and living with the disease for a long time now requires careful monitoring of these tumors., Competing Interests: Professor Antonino Musolino reports grants and/or personal fees from Lilly, Novartis, Seagen, Eisai, and Daiichi-Sankyo, outside the submitted work. The authors report no other conflicts of interest in this work., (© 2022 Mangone et al.)

Published
2022
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93. Risk of thyroid as a first or second primary cancer. A population-based study in Italy, 1998-2012.

Author

Crocetti E, Mattioli V, Buzzoni C, Franceschi S, Serraino D, Vaccarella S, Ferretti S, Busco S, Fedeli U, Varvarà M, Falcini F, Zorzi M, Carrozzi G, Mazzucco W, Gasparotti C, Iacovacci S, Toffolutti F, Cavallo R, Stracci F, Russo AG, Caldarella A, Rosso S, Musolino A, Mangone L, Casella C, Fusco M, Tagliabue G, Piras D, Tumino R, Guarda L, Dinaro YM, Piffer S, Pinna P, Mazzoleni G, Fanetti AC, and Dal Maso L

Subjects
Cohort Studies, Female, History, 20th Century, History, 21st Century, Humans, Incidence, Italy, Male, Neoplasms, Second Primary epidemiology, Registries, Risk Factors, Thyroid Neoplasms epidemiology, Neoplasms, Second Primary pathology, Thyroid Neoplasms complications
Abstract

Background: The number of patients living after a cancer diagnosis is increasing, especially after thyroid cancer (TC). This study aims at evaluating both the risk of a second primary cancer (SPC) in TC patients and the risk of TC as a SPC., Methods: We analyzed two population-based cohorts of individuals with TC or other neoplasms diagnosed between 1998 and 2012, in 28 Italian areas covered by population-based cancer registries. Standardized incidence ratios (SIRs) of SPC were stratified by sex, age, and time since first cancer., Results: A total of 38,535 TC patients and 1,329,624 patients with other primary cancers were included. The overall SIR was 1.16 (95% CI: 1.12-1.21) for SPC in TC patients, though no increase was shown for people with follicular (1.06) and medullary (0.95) TC. SPC with significantly increased SIRs was bone/soft tissue (2.0), breast (1.2), prostate (1.4), kidney (2.2), and hemolymphopoietic (1.4) cancers. The overall SIR for TC as a SPC was 1.49 (95% CI: 1.42-1.55), similar for all TC subtypes, and it was significantly increased for people diagnosed with head and neck (2.1), colon-rectum (1.4), lung (1.8), melanoma (2.0), bone/soft tissue (2.8), breast (1.3), corpus uteri (1.4), prostate (1.5), kidney (3.2), central nervous system (2.3), and hemolymphopoietic (1.8) cancers., Conclusions: The increased risk of TC after many other neoplasms and of few SPC after TC questions the best way to follow-up cancer patients, avoiding overdiagnosis and overtreatment for TC and, possibly, for other malignancies., (© 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

Published
2021
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94. Screening for colorectal cancer in Italy: 2011-2012 survey.

Author

Zorzi M, Mangone L, Anghinoni E, Baracco S, Borciani E, Caldarella A, Falcini F, Fanetti AC, Ferretti S, Giorgi Rossi P, Michiara M, Randi G, Stracci F, Vicentini M, Zucchetto A, and Zappa M

Subjects
Aged, Early Detection of Cancer, Female, Humans, Incidence, Italy epidemiology, Male, Mass Screening, Middle Aged, Neoplasm Staging, Occult Blood, Surveys and Questionnaires, Colonoscopy statistics & numerical data, Colorectal Neoplasms diagnosis, Colorectal Neoplasms epidemiology
Abstract

The impact of organized screening programmes on colorectal cancer (CRC) can be observed at a population level only several years after the implementation of screening. We compared CRC characteristics by diagnostic modality (screen-detected, non-screen-detected) as an early outcome to monitor screening programme effectiveness. Data on CRCs diagnosed in Italy from 2000 to 2008 were collected by several cancer registries. Linkage with screening datasets made it possible to divide the cases by geographic area, implementation of screening, and modality of diagnosis (screen-detected, non-screen-detected).We compared the main characteristics of the different subgroups of CRCs through multivariate logistic regression models. The study included 23,668 CRCs diagnosed in subjects aged 50-69 years, of which 11.9% were screen-detected (N=2,806), all from the North-Centre of Italy. Among screen-detected CRCs, we observed a higher proportion of males, of cases in the distal colon, and a higher mean age of the patients. Compared with pre-screening cases, screen-detected CRCs showed a better distribution by stage at diagnosis (OR for stage III or IV: 0.40, 95%CI: 0.36-0.44) and grading (OR for poorly differentiated CRCs was 0.86, 95%CI: 0.75-1.00). Screen-detected CRCs have more favourable prognostic characteristics than non-screen-detected cases. A renewed effort to implement screening programmes throughout the entire country is recommended.

Published
2015

95. [Suicide mortality among cancer patients].

Author

Crocetti E, Buzzoni C, Caldarella A, Intrieri T, Manneschi G, Sacchettini C, Paci E, and Miccinesi G

Subjects
Adolescent, Adult, Age Distribution, Aged, Child, Cohort Studies, Female, Humans, Italy epidemiology, Male, Middle Aged, Neoplasms therapy, Palliative Care, Prognosis, Risk, Suicide statistics & numerical data, Terminal Care, Young Adult, Suicide Prevention, Neoplasms psychology, Suicide trends
Abstract

Objective: to evaluate the excess risk in the deaths due to suicide in a huge case-series of cancer patients and in particular in a group with recent diagnosis., Design: observational cohort., Setting and Participants: population-based study based on 136,105 patients of the cancer registry of Tuscany Region, incident during 1985-2005, 42,321 of whom diagnosed during 2000-2005., Main Outcome Measures: standardised mortality ratio (SMR) of suicide by sex, age, prognosis, time since diagnosis and period of incidence., Results: deaths due to suicide were 0.2% of all the deaths observed in the cohort of patients. Overall cases, 1985-2005, showed a SMR of 1.47 (p<0.05), it was higher than expected for men (SMR =1.50), for subjects older that 54 years, especially for cancers with poor prognosis (SMR=2.27), particularly during the first year after diagnosis (SMR=2.87) but also in the following years. Cases diagnosed in 2000-2005 had a SMR=1.19 (n.s.), confirmed the high risk for the age 55-64 years (SMR=2.27), for cancers with worse prognosis (SMR=3.23) and during the first year after diagnosis (SMR=2.64). Trend analysis showed that the excess in the risk of suicide death among cancer patients decreased over time (p=0.042)., Conclusion: although suicide is not one of the major cause of death among cancer patients, we confirmed that those patients had a higher risk than the general population. SMR higher than expected were documented for the age 55-64 years, for cancers with poor prognosis and during the first year after diagnosis. Trend analysis shows that excess in the risk of suicide death among cancer patients is decreasing over time. This may be due, among other possible explanations, to the relevant development of the palliative care system in the area based both on hospices and on home care. Although suicide deaths are rather rare, their prevention among cancer patients is still a priority, due to its likely depressive etiology and to the effects on the family and on the health system.

Published
2012

96. [Socio-economic determinants of cancer survival in the municipality of Florence].

Author

Buzzoni C, Zappa M, Marchi M, Caldarella A, Corbinelli A, Giusti F, Intrieri T, Manneschi G, Nemcova L, Sacchettini C, and Crocetti E

Subjects
Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Child, Child, Preschool, Cultural Deprivation, Female, Humans, Infant, Italy epidemiology, Male, Marriage, Middle Aged, Models, Theoretical, Poverty, Prognosis, Registries, Risk, Survival Rate, Urban Population statistics & numerical data, Young Adult, Health Status Disparities, Neoplasms mortality, Socioeconomic Factors, Urban Health
Abstract

Objective: The aim of the present paper is to evaluate cancer survival in patients resident in the municipality of Florence according to different deprivation levels., Design: We used data from the Tuscan Cancer Registry and data from the national census 2001. We used a deprivation index, measured as a continue variable, classified in tertiles according to the distribution of the resident population. We compared more deprived patients (category 3) vs less deprived ones (category 1-2)., Main Outcome Measures: 10-year relative survival has been computed for patients diagnosed with 27 different cancer sites during 1997-2002, for different deprivation categories. Cancer sites were split into three groups of the same dimension, on the basis of 10-year survival (bad, intermediate and good prognosis). For each category the relative excess risk of death (RER) for most deprived patients has been computed using a Generalized Liner Model. We evaluated also the effect of marital status, classified as married and non-married., Results: We analysed 14 549 invasive cancer cases (out of skin epithelioma). Overall bad prognosis cancers did not show any RER of dying for most deprived patients. For intermediate prognosis cancers RER was 1.13 (1.02 ; 1.24). A excess occurs in the most disadvantaged tertile for tumors diagnosed under 50 years. For good prognosis cancers the RER was 1.06 (0.89 ; 1.26). We found a relative excess of mortality for non-married vs married., Conclusions: In the area of Florence there is an effect of deprivation level of survival for median-better prognosis cancers, for tumours diagnosed under 50 years and for unmarried people compared to unmarried ones.

Published
2011

97. Coexisting endometrial and ovarian carcinomas: a retrospective clinicopathological study.

Author

Caldarella A, Crocetti E, Taddei GL, and Paci E

Subjects
Adult, Age Factors, Age of Onset, Aged, Aged, 80 and over, Endometrial Neoplasms mortality, Female, Humans, Kaplan-Meier Estimate, Middle Aged, Neoplasms, Multiple Primary mortality, Ovarian Neoplasms mortality, Prognosis, Retrospective Studies, Endometrial Neoplasms pathology, Neoplasms, Multiple Primary pathology, Ovarian Neoplasms pathology
Abstract

The purpose of this study was to characterize patients diagnosed with synchronous primary carcinomas of the endometrium and ovary. Between 1985 and 2002, 46 patients with synchronous primary carcinomas of the endometrium and ovary were identified. Clinical and pathological information was obtained from the database and pathological reports. Kaplan-Meier survival analysis, log rank tests of survival differences, and multivariate Cox regression analysis were performed. Median age at diagnosis was 55 years. Twenty-one patients (46%) had an endometrioid histology both of their endometrial and ovarian cancers. Patients with younger age, high uterine differentiation grade, and early-stage ovarian cancer had a more favorable prognosis than those with older age, low grade of differentiation, and advanced stage disease. The Cox proportional hazards model analysis indicates that young age and high grade of differentiation are independent prognostic factors. In this series of patients, women with synchronous primary cancer of the endometrium and ovary were young; the survival rate was greater in patients aged less than 50 years and in patients with an early stage. No significantly different survival between patients with endometrioid carcinoma and patients with non-endometrioid carcinomas was detected.

Published
2008
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98. [Automatic coding of pathologic cancer variables by the search of strings of text in the pathology reports. The experience of the Tuscany Cancer Registry].

Author

Crocetti E, Sacchettini C, Caldarella A, and Paci E

Subjects
Catchment Area, Health, Humans, Italy epidemiology, Electronic Data Processing, Neoplasms epidemiology, Registries
Abstract

The present study evaluates the application of an automatic system for variables coding by means of strings reading in the text of the pathology reports, in the database of the Tuscany Cancer Registry. Incidence data for the years 2000 (n. 6297) and 2001 (n. 6291) for subjects for whom computerised pathology reports were available were included. The system is based on Queries (SQL language) linked to Functions (Visual Basic for Applications) that work on Windows Access. The agreement between original data inputted by the registrars and variables coded by means of automatic reading has been evaluated by means of Cohen's kappa. The following variables were analysed: cancer site (kappa = 0.87 between "manual" and automatic coding, for cases incident in the year 2001), morphology (kappa=0.75), Berg's morphology groups (kappa=0.87), behaviour (kappa=0.70), grading (kappa=0.90), Gleason (kappa=0.90), focality (kappa=0.86), lateralily (kappa=0.36), pT (kappa=0.92), pN (kappa=0.76), pM (kappa=0.28), number of lymph nodes (kappa=0.69), number of positive lymph nodes (kappa=0.70), Breslow thickness (kappa=0.94), Clark level (kappa=0.91), Dukes (kappa=0.74). The system of automatic reading of strings allows to collect a very huge amount of reliable information and its use should be implemented by the Registries.

Published
2005

99. Chorangiosis: report of three cases and review of the literature.

Author

Caldarella A, Buccoliero AM, and Taddei GL

Subjects
Adult, Biomarkers analysis, Capillaries pathology, Chorionic Villi metabolism, Female, Gestational Age, Hemangioma metabolism, Humans, Immunohistochemistry, Maternal Age, Placenta Diseases metabolism, Pregnancy, Pregnancy, High-Risk, Chorionic Villi blood supply, Chorionic Villi pathology, Hemangioma pathology, Placenta Diseases pathology, Pregnancy Complications pathology
Abstract

The vascular lesions in the placenta form a heterogeneous group of possibly interrelated alterations. Gestational age distribution is different for chorangioma, chorangiosis, and chorangiomatosis; the pathogenesis is unclear, and histological features, especially those of chorangiosis and chorangiomatosis, frequently overlap. Chorangiomatosis shows intermediate features between chorangiosis and chorangioma. In this lesion, particularly when multifocal, the presence of small capillaries is similar to chorangiosis, but the gestational age is different from both chorangiosis and chorangioma. We present three cases of chorangiosis examined during one-year routine pathological analysis of placental tissue and report the histological, histochemical, and immunohistochemical features. Furthermore, we go into the difficulty of discerning the villous capillary lesions and the utility of this division, and describe the clinical effects of these lesions on fetal outcome.

Published
2003
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100. Hemangioma of the umbilical cord: report of a case.

Author

Caldarella A, Buccoliero AM, Taddei A, Savino L, and Taddei GL

Subjects
Adult, Cyanosis etiology, Edema etiology, Female, Hemangioma complications, Humans, Infant, Newborn, Muscle Hypotonia etiology, Pregnancy, Hemangioma pathology, Pregnancy Complications, Neoplastic pathology, Ultrasonography, Prenatal, Umbilical Cord pathology
Abstract

A 31-year-old woman with a large placental tumor underwent a caesarean section. After delivery, the lesion, detected by ultrasound examination, was found to originate from the umbilical cord. A live female infant with cyanosis, hypotonia and diffuse edema was delivered. A review of the literature, which revealed 31 cases of umbilical cord hemangioma, showed that this tumor has a polymorphous presentation. Some fetuses and infants died from various causes, indicating that a close follow-up is necessary in these pregnancies

Published
2003
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