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Giudici F, De Paoli A, Toffolutti F, Guzzinati S, Francisci S, Bucchi L, Gatta G, Demuru E, Mallone S, Cin AD, Caldarella A, Cuccaro F, Migliore E, Gambino ML, Ravaioli A, Puppo A, Ferrante M, Carrozzi G, Stracci F, Musolino A, Gasparotti C, Cavallo R, Mazzucco W, Vitale MF, Cascone G, Ballotari P, Ferretti S, Mangone L, Rizzello RV, Sampietro G, Mian M, Boschetti L, Galasso R, Bella F, Piras D, Sessa A, Seghini P, Fanetti AC, Pinna P, De Angelis R, Serraino D, Dal Maso L, Airtum Working Group. Indicators of cure for women living after uterine and ovarian cancers: a population-based study. Am J Epidemiol 2024:kwae044. [PMID: 38629583 DOI: 10.1093/aje/kwae044] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 01/29/2024] [Indexed: 08/09/2024] Open
Abstract
This study aims to estimate long-term survival, cancer prevalence, and several cure indicators for Italian women with gynaecological cancers. Thirty-one cancer registries, representing 47% of the Italian female population, were included. Mixture cure models were used to estimate Net Survival (NS), Cure Fraction, Time To Cure (5-year conditional NS>95%), Cure Prevalence (women who will not die of cancer), and Already Cured (living longer than Time to Cure). In 2018, 0.4% (121,704) of Italian women were alive after corpus uteri cancer, 0.2% (52,551) after cervical, and 0.2% (52,153) after ovarian cancer. More than 90% of patients with uterine cancers and 83% with ovarian cancer will not die from their neoplasm (Cure Prevalence). Women with gynaecological cancers have a residual excess risk of death <5% after 5 years since diagnosis. The Cure Fraction was 69% for corpus uteri, 32% for ovarian, and 58% for cervical cancer patients. Time To Cure was ≤10 years for women with gynaecological cancers aged <55 years. 74% of patients with cervical cancer, 63% with corpus uteri cancer, and 55% with ovarian cancer were Already Cured. These results will contribute to improving follow-up programs for women with gynaecological cancers and supporting efforts against discrimination of already cured ones.
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Hubbell E, Clarke CA, Smedby KE, Adami HO, Chang ET. Potential for Cure by Stage across the Cancer Spectrum in the United States. Cancer Epidemiol Biomarkers Prev 2024; 33:206-214. [PMID: 38019271 PMCID: PMC10844847 DOI: 10.1158/1055-9965.epi-23-1018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/23/2023] [Accepted: 11/27/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Cure fraction-the proportion of persons considered cured of cancer after long-term follow-up-reflects the total impact of cancer control strategies, including screening, without lead-time bias. Previous studies have not reported stage-stratified cure fraction across the spectrum of cancer types. METHODS Using a mixture cure model, we estimated cure fraction across stages for 21 cancer types and additional subtypes. Cause-specific survival for 2.4 million incident cancers came from 17 US Surveillance, Epidemiology, and End Results registries for adults 40 to 84 years at diagnosis in 2006 to 2015, followed through 2020. RESULTS Across cancer types, a substantial cure fraction was evident at early stages, followed by either a sharp drop from stages III to IV or a steady decline from stages I to IV. For example, estimated cure fractions for colorectal cancer at stages I, II, III, and IV were 62% (95% confidence interval: 59%-66%), 61% (58%-65%), 58% (57%-59%), and 7% (7%-7%), respectively. Corresponding estimates for gallbladder cancer were 50% (46%-54%), 24% (22%-27%), 22% (19%-25%), and 2% (2%-3%). Differences in 5-year cause-specific survival between early-stage and stage IV cancers were highly correlated with between-stage differences in cure fraction, indicating that survival gaps by stage are persistent and not due to lead-time bias. CONCLUSIONS A considerable fraction of cancer is amenable to cure at early stages, but not after metastasis. IMPACT These results emphasize the potential for early detection of numerous cancers, including those with no current screening modalities, to reduce cancer death.
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Affiliation(s)
| | | | - Karin E. Smedby
- Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Clinical Effectiveness Research Group, Institute of Health and Society, University of Oslo, Oslo, Norway
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3
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Toffolutti F, Guzzinati S, De Paoli A, Francisci S, De Angelis R, Crocetti E, Botta L, Rossi S, Mallone S, Zorzi M, Manneschi G, Bidoli E, Ravaioli A, Cuccaro F, Migliore E, Puppo A, Ferrante M, Gasparotti C, Gambino M, Carrozzi G, Stracci F, Michiara M, Cavallo R, Mazzucco W, Fusco M, Ballotari P, Sampietro G, Ferretti S, Mangone L, Rizzello RV, Mian M, Cascone G, Boschetti L, Galasso R, Piras D, Pesce MT, Bella F, Seghini P, Fanetti AC, Pinna P, Serraino D, Dal Maso L. Complete prevalence and indicators of cancer cure: enhanced methods and validation in Italian population-based cancer registries. Front Oncol 2023; 13:1168325. [PMID: 37346072 PMCID: PMC10280813 DOI: 10.3389/fonc.2023.1168325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 05/09/2023] [Indexed: 06/23/2023] Open
Abstract
Objectives To describe the procedures to derive complete prevalence and several indicators of cancer cure from population-based cancer registries. Materials and methods Cancer registry data (47% of the Italian population) were used to calculate limited duration prevalence for 62 cancer types by sex and registry. The incidence and survival models, needed to calculate the completeness index (R) and complete prevalence, were evaluated by likelihood ratio tests and by visual comparison. A sensitivity analysis was conducted to explore the effect on the complete prevalence of using different R indexes. Mixture cure models were used to estimate net survival (NS); life expectancy of fatal (LEF) cases; cure fraction (CF); time to cure (TTC); cure prevalence, prevalent patients who were not at risk of dying as a result of cancer; and already cured patients, those living longer than TTC at a specific point in time. CF was also compared with long-term NS since, for patients diagnosed after a certain age, CF (representing asymptotical values of NS) is reached far beyond the patient's life expectancy. Results For the most frequent cancer types, the Weibull survival model stratified by sex and age showed a very good fit with observed survival. For men diagnosed with any cancer type at age 65-74 years, CF was 41%, while the NS was 49% until age 100 and 50% until age 90. In women, similar differences emerged for patients with any cancer type or with breast cancer. Among patients alive in 2018 with colorectal cancer at age 55-64 years, 48% were already cured (had reached their specific TTC), while the cure prevalence (lifelong probability to be cured from cancer) was 89%. Cure prevalence became 97.5% (2.5% will die because of their neoplasm) for patients alive >5 years after diagnosis. Conclusions This study represents an addition to the current knowledge on the topic providing a detailed description of available indicators of prevalence and cancer cure, highlighting the links among them, and illustrating their interpretation. Indicators may be relevant for patients and clinical practice; they are unambiguously defined, measurable, and reproducible in different countries where population-based cancer registries are active.
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Affiliation(s)
- Federica Toffolutti
- Cancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Aviano, Italy
| | | | | | - Silvia Francisci
- National Centre for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Roberta De Angelis
- Department of Oncology and Molecular Medicine, National Institute of Health, Rome, Italy
| | - Emanuele Crocetti
- Cancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Aviano, Italy
| | - Laura Botta
- Evaluative Epidemiology Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Silvia Rossi
- Department of Oncology and Molecular Medicine, National Institute of Health, Rome, Italy
| | - Sandra Mallone
- National Centre for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Manuel Zorzi
- Epidemiological Department, Azienda Zero, Padua, Italy
| | - Gianfranco Manneschi
- Tuscany Cancer Registry, Clinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Ettore Bidoli
- Cancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Aviano, Italy
| | - Alessandra Ravaioli
- Emilia-Romagna Cancer Registry, Romagna Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Forlì, Italy
| | - Francesco Cuccaro
- Registro Tumori Puglia - Sezione Azienda Sanitaria Locale (ASL) Barletta-Andria-Trani, Epidemiologia e Statistica, Barletta, Italy
| | - Enrica Migliore
- Piedmont Cancer Registry, Centro di Riferimento per l'Epidemiologia e la Prevenzione Oncologica (CPO) Piemonte and University of Turin, Turin, Italy
| | - Antonella Puppo
- Liguria Cancer Registry, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Margherita Ferrante
- Registro tumori integrato di Catania-Messina-Enna, Igiene Ospedaliera, Azienda Ospedaliero-Universitaria Policlinico G. Rodolico-San Marco, Catania, Italy
| | - Cinzia Gasparotti
- Struttura Semplice Epidemiologia, Agenzia di Tutela della Salute (ATS) Brescia, Brescia, Italy
| | - Maria Gambino
- Registro tumori ATS Insubria (Provincia di Como e Varese) Responsabile S.S. Epidemiologia Registri Specializzati e Reti di Patologia, Varese, Italy
| | - Giuliano Carrozzi
- Emilia-Romagna Cancer Registry, Modena Unit, Public Health Department, Local Health Authority, Modena, Italy
| | - Fabrizio Stracci
- Umbria Cancer Registry, Public Health Section, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Maria Michiara
- Emilia-Romagna Cancer Registry, Parma Unit, Medical Oncology Unit, University Hospital of Parma, Parma, Italy
| | - Rossella Cavallo
- Cancer Registry Azienda Sanitaria Locale (ASL) Salerno- Dipartimento di Prevenzione, Salerno, Italy
| | - Walter Mazzucco
- Clinical Epidemiology and Cancer Registry Unit, Azienda Ospedaliera Universitaria Policlinico (AOUP) di Palermo, Palermo, Italy
| | - Mario Fusco
- Registro Tumori ASL Napoli 3 Sud, Napoli, Italy
| | | | | | - Stefano Ferretti
- Emilia-Romagna Cancer Registry, Ferrara Unit, Local Health Authority, Ferrara, and University of Ferrara, Ferrara, Italy
| | - Lucia Mangone
- Emilia-Romagna Cancer Registry, Reggio Emilia Unit, Epidemiology Unit, Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Michael Mian
- Innovation, Research and Teaching Service (SABES-ASDAA), Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität, Bolzano-Bozen, Italy
| | - Giuseppe Cascone
- Azienda Sanitaria Provinciale (ASP) Ragusa - Dipartimento di Prevenzione -Registro Tumori, Ragusa, Italy
| | | | - Rocco Galasso
- Unit of Regional Cancer Registry, Clinical Epidemiology and Biostatistics, IRCCS Centro di Riferimento Oncologico di Basilicata (CROB), Rionero in Vulture, Italy
| | | | - Maria Teresa Pesce
- Monitoraggio rischio ambientale e Registro Tumori ASL Caserta, Caserta, Italy
| | - Francesca Bella
- Siracusa Cancer Registry, Provincial Health Authority of Siracusa, Siracusa, Italy
| | - Pietro Seghini
- Emilia-Romagna Cancer Registry, Piacenza Unit, Public Health Department, AUSL Piacenza, Piacenza, Italy
| | - Anna Clara Fanetti
- Sondrio Cancer Registry, Agenzia di Tutela della Salute della Montagna, Sondrio, Italy
| | - Pasquala Pinna
- Nuoro Cancer Registry, RT Nuoro, Servizio Igiene e Sanità Pubblica, ASL Nuoro, Nuoro, Italy
| | - Diego Serraino
- Cancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Aviano, Italy
| | - Luigino Dal Maso
- Cancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Aviano, Italy
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Xia C, Yu XQ, Chen W. Measuring population-level cure patterns for cancer patients in the United States. Int J Cancer 2023; 152:738-748. [PMID: 36104936 DOI: 10.1002/ijc.34291] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 08/24/2022] [Accepted: 09/08/2022] [Indexed: 02/01/2023]
Abstract
While the life expectancy of cancer survivors has substantially improved over time in the United States, the extent to which cancer patients are cured is not known. Population-level cure patterns are important indicators to quantify cancer survivorships. This population-based cohort study included 8978,721 cancer patients registered in the Surveillance, Epidemiology and End Results (SEER) databases between 1975 and 2018. The primary outcome was cure fractions. Five-year cure probability, time to cure and median survival time of uncured cases were also assessed. All four measures were calculated using flexible parametric models, according to 46 cancer sites, three summary stages, individual age and calendar year at diagnosis. In 2018, cure fractions ranged from 2.7% for distant liver cancer to 100.0% for localized/regional prostate cancer. Localized cancer had the highest cure fraction, followed by regional cancer and distant cancer. Except for localized breast cancer, older patients generally had lower cure fractions. There were 38 cancer site and stage combinations (31.2%) that achieved 95% of cure within 5 years. Median survival time of the uncured cases ranged from 0.3 years for distant liver cancer to 10.9 years for localized urinary bladder cancer. A total of 117 cancer site and stage combinations (93.6%) had increased cure fraction over time. A considerable proportion of cancer patients were cured at the population-level, and the cure patterns varied substantially across cancer site, stage and age at diagnosis. Increases in cure fractions over time likely reflected advances in cancer treatment and early detection.
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Affiliation(s)
- Changfa Xia
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xue Qin Yu
- The Daffodil Centre, The University of Sydney, A Joint Venture With Cancer Council NSW, Sydney, Australia
| | - Wanqing Chen
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Maso LD, Serraino D, Guzzinati S. Is survivorship an endless experience? Cancer 2022; 128:3597-3598. [PMID: 35972229 DOI: 10.1002/cncr.34412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 07/15/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Luigino Dal Maso
- Cancer Epidemiology Unit, IRCCS, National Cancer Institute, CRO, IRCCS, Aviano, Pordenone, Italy
| | - Diego Serraino
- Cancer Epidemiology Unit, IRCCS, National Cancer Institute, CRO, IRCCS, Aviano, Pordenone, Italy
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Improving Access to Cancer Treatment Services in Australia’s Northern Territory—History and Progress. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19137705. [PMID: 35805361 PMCID: PMC9265828 DOI: 10.3390/ijerph19137705] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 06/14/2022] [Accepted: 06/21/2022] [Indexed: 12/28/2022]
Abstract
Cancer is the leading cause of death in the Northern Territory (NT), Australia’s most sparsely populated jurisdiction with the highest proportion of Aboriginal people. Providing cancer care to the NT’s diverse population has significant challenges, particularly related to large distances, limited resources and cultural differences. This paper describes the developments to improve cancer treatment services, screening and end-of-life care in the NT over the past two decades, with a particular focus on what this means for the NT’s Indigenous peoples. This overview of NT cancer services was collated from peer-reviewed literature, government reports, cabinet papers and personal communication with health service providers. The establishment of the Alan Walker Cancer Care Centre (AWCCC), which provides radiotherapy, chemotherapy and other specialist cancer services at Royal Darwin Hospital, and recent investment in a PET Scanner have reduced patients’ need to travel interstate for cancer diagnosis and treatment. The new chemotherapy day units at Alice Springs Hospital and Katherine Hospital and the rapid expansion of tele-oncology have also reduced patient travel within the NT. Access to palliative care facilities has also improved, with end-of-life care now available in Darwin, Alice Springs and Katherine. However, future efforts in the NT should focus on increasing and improving travel assistance and support and increasing the availability of appropriate accommodation; ongoing implementation of strategies to improve recruitment and retention of health professionals working in cancer care, particularly Indigenous health professionals; and expanding the use of telehealth as a means of delivering cancer care and treatment.
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Dasgupta P, Andersson TML, Garvey G, Baade PD. Quantifying Differences in Remaining Life Expectancy after Cancer Diagnosis, Aboriginal and Torres Strait Islanders, and Other Australians, 2005-2016. Cancer Epidemiol Biomarkers Prev 2022; 31:1168-1175. [PMID: 35294961 DOI: 10.1158/1055-9965.epi-21-1390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/20/2022] [Accepted: 03/02/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND This study quantified differences in remaining life expectancy (RLE) among Aboriginal and Torres Strait Islander and other Australian patients with cancer. We assessed how much of this disparity was due to differences in cancer and noncancer mortality and calculated the population gain in life years for Aboriginal and Torres Strait Islanders cancer diagnoses if the cancer survival disparities were removed. METHODS Flexible parametric relative survival models were used to estimate RLE by Aboriginal and Torres Strait Islander status for a population-based cohort of 709,239 persons (12,830 Aboriginal and Torres Strait Islanders), 2005 to 2016. RESULTS For all cancers combined, the average disparity in RLE was 8.0 years between Aboriginal and Torres Strait Islanders (12.0 years) and other Australians (20.0 years). The magnitude of this disparity varied by cancer type, being >10 years for cervical cancer versus <2 years for lung and pancreatic cancers. For all cancers combined, around 26% of this disparity was due to differences in cancer mortality and 74% due to noncancer mortality. Among 1,342 Aboriginal and Torres Strait Islanders diagnosed with cancer in 2015 an estimated 2,818 life years would be gained if cancer survival disparities were removed. CONCLUSIONS A cancer diagnosis exacerbates the existing disparities in RLE among Aboriginal and Torres Strait Islanders. Addressing them will require consideration of both cancer-related factors and those contributing to noncancer mortality. IMPACT Reported survival-based measures provided additional insights into the overall impact of cancer over a lifetime horizon among Aboriginal and Torres Strait Islander peoples.
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Affiliation(s)
| | - Therese M-L Andersson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gail Garvey
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Peter D Baade
- Cancer Council Queensland, Brisbane, Queensland, Australia
- School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
- Menzies Health Institute, Griffith University, Southport, Queensland, Australia
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8
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Yu XQ, Dasgupta P, Baade P. Quantifying the absolute number of cancer deaths that would be avoided if cancers were diagnosed prior to progressing to distant metastasis, New South Wales, Australia 1985-2014. Int J Cancer 2022; 150:1760-1769. [PMID: 35037243 DOI: 10.1002/ijc.33931] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 12/13/2021] [Accepted: 12/23/2021] [Indexed: 11/10/2022]
Abstract
This study measures the impact of diagnosing cancers early before they metastasise on reducing the burden of cancer death. A cohort of 716,501 people aged 15-89 years diagnosed with a solid cancer in New South Wales, Australia, during 1985-2014 were followed-up to December 2015. Crude probabilities of cancer death by stage at diagnosis were calculated for all solid cancers combined and five individual cancers using flexible parametric relative survival models. These probabilities were used to estimate the number of avoided cancer deaths within 10 years of diagnosis in three 10-year diagnostic periods if all cases with known distant stage were instead diagnosed at an earlier stage. Cancers known to be diagnosed at distant stage comprised ~16% of all solid cancers diagnosed during 2005-2014. Assuming all these cases were instead diagnosed at regional stage, an annual average of 2,064 cancer deaths would have been potentially avoided within 10 years of diagnosis. This equated to ~21% of modelled observed deaths. Alternatively, if half of all known distant cases diagnosed during 2005-2014 were diagnosed as regional and half as localised, the average number of deaths avoided per year would increase to 2,677 (~28%). Estimates varied by diagnostic period, sex, and cancer type, reflecting both the different stage distributions for the cancer types, and the respective survival differences between cancer stages. While prevention is the most effective pillar of cancer control, these findings quantify the potential benefits of diagnosing all cancer types when they are less advanced to reduce the burden of cancer mortality.
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Affiliation(s)
- Xue Qin Yu
- The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia
| | - Paramita Dasgupta
- Cancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia
| | - Peter Baade
- Cancer Research Centre, Cancer Council Queensland, Brisbane, Queensland, Australia.,Menzies Health Institute Queensland, Griffith University, Gold Coast Campus, Southport, Australia.,School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia
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Dal Maso L, Santoro A, Iannelli E, De Paoli P, Minoia C, Pinto M, Bertuzzi AF, Serraino D, De Angelis R, Trama A, Haupt R, Pravettoni G, Perrone M, De Lorenzo F, Tralongo P. Cancer Cure and Consequences on Survivorship Care: Position Paper from the Italian Alliance Against Cancer (ACC) Survivorship Care Working Group. Cancer Manag Res 2022; 14:3105-3118. [PMID: 36340999 PMCID: PMC9635309 DOI: 10.2147/cmar.s380390] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 09/08/2022] [Indexed: 02/05/2023] Open
Abstract
A multidisciplinary panel of experts and cancer patients developed a position paper to highlight recent evidence on "cancer cure" (ie, the possibility of achieving the same life expectancy as the general population) and discuss the consequences of this concept on follow-up and rehabilitation strategies. The aim is to inform clinicians, patients, and health-care policy makers about strategies of survivorship care for cured cancer patients and consequences impacting patient lives, spurring public health authorities and research organizations to implement resources to the purpose. Two identifiable, measurable, and reproducible indicators of cancer cure are presented. Cure fraction (CF) is >60% for breast and prostate cancer patients, >50% for colorectal cancer patients, and >70% for patients with melanoma, Hodgkin lymphoma, and cancers of corpus uteri, testis (>90%), and thyroid. CF was >65% for patients diagnosed at ages 15-44 years and 30% for those aged 65-74 years. Time-to-cure was consistently <1 year for thyroid and testicular cancer patients and <10 years for patients with colorectal and cervical cancers, melanoma, and Hodgkin lymphoma. The working group agrees that the evidence allows risk stratification of cancer patients and implementation of personalized care models for timely diagnosis, as well as treatment of possible cancer relapses or related long-term complications, and preventive measures aimed at maintaining health status of cured patients. These aspects should be integrated to produce an appropriate follow-up program and survivorship care plan(s), avoiding stigma and supporting return to work, to a reproductive life, and full rehabilitation. The "right to be forgotten" law, adopted to date only in a few European countries, may contribute to these efforts for cured patients.
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Affiliation(s)
- Luigino Dal Maso
- Cancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
- Correspondence: Luigino Dal Maso, Epidemiologia Oncologica, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Via Franco Gallini 2, Aviano (PN), 33081, Italy, Tel +39 0434 659354, Email
| | - Armando Santoro
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- IRCCS Humanitas Research Hospital, Humanitas Cancer Center, Milan, Italy
| | - Elisabetta Iannelli
- Italian Federation of Cancer Patients Organisations (FAVO), Rome, Italy
- Italian Association of Cancer Patients (Aimac), Rome, Italy
| | | | - Carla Minoia
- SC Haematology, IRCCS Istituto Tumori “Giovanni Paolo II”, Bari, Italy
| | - Monica Pinto
- Rehabilitation Medicine Unit, Strategic Health Services Department, Istituto Nazionale Tumori-IRCCS Fondazione G. Pascale, Naples, Italy
| | | | - Diego Serraino
- Cancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Roberta De Angelis
- Department of Oncology and Molecular Medicine, Italian National Institute of Health (ISS), Rome, Italy
| | - Annalisa Trama
- Evaluative Epidemiology Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milano, Italy
| | - Riccardo Haupt
- DOPO Clinic, Department of Pediatric Haematology/Oncology, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Gabriella Pravettoni
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Applied Research Division for Cognitive and Psychological Science, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Maria Perrone
- Psychology Unit, IRCCS Regina Elena Cancer Institute, Rome, Italy
| | - Francesco De Lorenzo
- Italian Federation of Cancer Patients Organisations (FAVO), Rome, Italy
- Italian Association of Cancer Patients (Aimac), Rome, Italy
| | - Paolo Tralongo
- Medical Oncology Unit, Umberto I Hospital, Department of Oncology, RAO, Siracusa, Italy
- Paolo Tralongo, Medical Oncology Unit, Umberto I Hospital, Department of Oncology, RAO, Via Giuseppe Testaferrata 1, Siracusa, 96100, Italy, Tel +39 0931 724 464, Email
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10
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Dal Maso L, Panato C, Tavilla A, Guzzinati S, Serraino D, Mallone S, Botta L, Boussari O, Capocaccia R, Colonna M, Crocetti E, Dumas A, Dyba T, Franceschi S, Gatta G, Gigli A, Giusti F, Jooste V, Minicozzi P, Neamtiu L, Romain G, Zorzi M, De Angelis R, Francisci S. Cancer cure for 32 cancer types: results from the EUROCARE-5 study. Int J Epidemiol 2021; 49:1517-1525. [PMID: 32984907 DOI: 10.1093/ije/dyaa128] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/02/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Few studies have estimated the probability of being cured for cancer patients. This study aims to estimate population-based indicators of cancer cure in Europe by type, sex, age and period. METHODS 7.2 million cancer patients (42 population-based cancer registries in 17 European countries) diagnosed at ages 15-74 years in 1990-2007 with follow-up to 2008 were selected from the EUROCARE-5 dataset. Mixture-cure models were used to estimate: (i) life expectancy of fatal cases (LEF); (ii) cure fraction (CF) as proportion of patients with same death rates as the general population; (iii) time to cure (TTC) as time to reach 5-year conditional relative survival (CRS) >95%. RESULTS LEF ranged from 10 years for chronic lymphocytic leukaemia patients to <6 months for those with liver, pancreas, brain, gallbladder and lung cancers. It was 7.7 years for patients with prostate cancer at age 65-74 years and >5 years for women with breast cancer. The CF was 94% for testis, 87% for thyroid cancer in women and 70% in men, 86% for skin melanoma in women and 76% in men, 66% for breast, 63% for prostate and <10% for liver, lung and pancreatic cancers. TTC was <5 years for testis and thyroid cancer patients diagnosed below age 55 years, and <10 years for stomach, colorectal, corpus uteri and melanoma patients of all ages. For breast and prostate cancers, a small excess (CRS < 95%) remained for at least 15 years. CONCLUSIONS Estimates from this analysis should help to reduce unneeded medicalization and costs. They represent an opportunity to improve patients' quality of life.
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Affiliation(s)
- Luigino Dal Maso
- Cancer Epidemiology Unit, Centro di Riferimento Oncologico (CRO), IRCCS, Aviano, Italy
| | - Chiara Panato
- Cancer Epidemiology Unit, Centro di Riferimento Oncologico (CRO), IRCCS, Aviano, Italy
| | - Andrea Tavilla
- National Center for Prevention and Health Promotion, Italian National Institute of Health (ISS), Rome, Italy
| | | | - Diego Serraino
- Cancer Epidemiology Unit, Centro di Riferimento Oncologico (CRO), IRCCS, Aviano, Italy
| | - Sandra Mallone
- National Center for Prevention and Health Promotion, Italian National Institute of Health (ISS), Rome, Italy
| | - Laura Botta
- Evaluative Epidemiology Unit, Research Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Olayidé Boussari
- Registre Bourguignon des Cancers Digestifs, INSERM UMR 1231, CHU de Dijon, Université de Bourgogne, Dijon, France
| | | | | | - Emanuele Crocetti
- Romagna Cancer Registry, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST), IRCCS, Meldola, ItalyAzienda Usl della Romagna, Forlì, Italy
| | - Agnes Dumas
- National Institute for Health and Medical Research (INSERM), Paris, France
| | - Tadek Dyba
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| | - Silvia Franceschi
- Cancer Epidemiology Unit, Centro di Riferimento Oncologico (CRO), IRCCS, Aviano, Italy
| | - Gemma Gatta
- Evaluative Epidemiology Unit, Research Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Anna Gigli
- Institute for Research on Population and Social Policies, National Research Council, Rome, Italy
| | | | - Valerie Jooste
- Registre Bourguignon des Cancers Digestifs, INSERM UMR 1231, CHU de Dijon, Université de Bourgogne, Dijon, France
| | - Pamela Minicozzi
- Analytical Epidemiology and Health Impact Unit, Research Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.,Cancer Survival Group, Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Luciana Neamtiu
- European Commission, Joint Research Centre (JRC), Ispra, Italy
| | - Gaëlle Romain
- Registre Bourguignon des Cancers Digestifs, INSERM UMR 1231, CHU de Dijon, Université de Bourgogne, Dijon, France
| | - Manuel Zorzi
- Veneto Tumour Registry, Azienda Zero, Padua, Italy
| | - Roberta De Angelis
- Department of Oncology and Molecular Medicine, Italian National Institute of Health (ISS), Rome, Italy
| | - Silvia Francisci
- National Center for Prevention and Health Promotion, Italian National Institute of Health (ISS), Rome, Italy
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11
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Does minimum follow-up time post-diagnosis matter? An assessment of changing loss of life expectancy for people with cancer in Western Australia from 1982 to 2016. Cancer Epidemiol 2020; 66:101705. [PMID: 32224327 DOI: 10.1016/j.canep.2020.101705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 03/03/2020] [Accepted: 03/14/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND Cancer survival has improved in Western Australia (WA) over recent decades. Loss of life expectancy (LOLE) is a useful measure for assessing cancer survival at a population-level. Some previous studies estimating LOLE have required a minimum follow-up beyond diagnosis to reduce the impact of modelled extrapolation, while others have not. The first aim of this study was to assess the impact of minimum length of follow-up on LOLE estimates for people diagnosed in 2006 with female breast, colorectal, prostate, lung, cervical, combined oesophageal and stomach cancers, and melanoma. Based on these results, the second aim was to assess temporal changes in LOLE for these cancer types for diagnoses between 1982 and 2016. METHODS Person-level linked cancer registry and mortality data were used for invasive primary cancer diagnoses for WA residents aged 15-89 years. The analysis for aim one included cases diagnosed from 1982 to the end of 2006, followed to the end of 2006 (i.e. no minimum follow-up), 2011 (i.e. five years minimum follow-up, assuming survival) or 2016 (i.e. 10 years minimum follow-up). To achieve the second study aim, the diagnostic period was extended to the end of 2016. Life expectancy estimates were obtained after fitting flexible parametric relative survival models. Single-year age and sex-specific death rates were used as a reference to estimate LOLE and proportionate loss of life expectancy. RESULTS Temporal changes were not reported for prostate, cervical, oesophageal and stomach cancers or melanoma, due to differences in LOLE estimates by minimum follow-up time, or estimate imprecision. Marked reductions in LOLE were observed for female breast and colorectal cancer. There was minimal absolute reduction for lung cancer, where LOLE remained high. CONCLUSION This study considered the appropriateness of including recent cancer diagnoses when assessing temporal changes in LOLE, finding variation in estimates with differing minimum follow-up or high parameter uncertainty for most included cancer types. Temporal changes in LOLE in-turn reflected changes in the life expectancy of the general population, cancer detection and management. These factors must be considered when estimating and interpreting LOLE estimates.
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12
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Kou K, Dasgupta P, Cramb SM, Yu XQ, Andersson TML, Baade PD. Temporal trends in loss of life expectancy after a cancer diagnosis among the Australian population. Cancer Epidemiol 2020; 65:101686. [DOI: 10.1016/j.canep.2020.101686] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 02/06/2020] [Accepted: 02/07/2020] [Indexed: 12/12/2022]
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13
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Baade PD, Whiteman DC, Janda M, Cust AE, Neale RE, Smithers BM, Green AC, Khosrotehrani K, Mar V, Soyer HP, Aitken JF. Long-term deaths from melanoma according to tumor thickness at diagnosis. Int J Cancer 2020; 147:1391-1396. [PMID: 32067220 DOI: 10.1002/ijc.32930] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 01/30/2020] [Accepted: 02/10/2020] [Indexed: 12/20/2022]
Abstract
There is little long-term follow-up information about how the number of melanoma deaths and case fatality vary over time according to the measured thickness of melanoma at diagnosis. This population-based longitudinal cohort study examines patterns and trends in case fatality among 44,531 people in Queensland (Australia) diagnosed with a single invasive melanoma (International Classification of Diseases for Oncology, third revision [ICD-O-3], C44, Morphology 872-879) between 1987 and 2011, including 11,883 diagnosed between 1987 and 1996, with up to 20 years follow-up (to December 2016). The 20-year case fatality increased by thickness, with the percentage of melanoma deaths within 20 years of diagnosis being up to 4.8% for melanomas with measured thickness <0.80 mm, 10.6% for tumors 0.8 to <1.0 mm and generally more than 30% for melanomas measuring 3 mm and more. For melanomas <1.0 mm, most deaths occurred between 5 and 20 years after diagnosis, whereas for thicker melanomas the reverse was true with most deaths occurring within the first 5 years. Five-year case fatality decreased over successive calendar time periods for melanomas <1.0 mm, but not for melanomas ≥1.0 mm. These findings demonstrate that the time course for fatal melanomas varies markedly according to tumor thickness at diagnosis. Improved understanding of the patient factors and characteristics of melanomas, in addition to tumor thickness, which increase the likelihood of progression, is needed to guide clinical diagnosis, communication with patients and ongoing surveillance pathways of patients with potentially fatal lesions.
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Affiliation(s)
- Peter D Baade
- Cancer Council Queensland, Brisbane, Queensland, Australia
| | - David C Whiteman
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Monika Janda
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Anne E Cust
- Sydney School of Public Health and Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
| | - Rachel E Neale
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,School of Public Health, University of Queensland, Brisbane, Queensland, Australia
| | - Bernard Mark Smithers
- Queensland Melanoma Project, Princess Alexandra Hospital, Brisbane, Queensland, Australia.,Faculty of Medicine, Discipline of Surgery, The University of Queensland, Brisbane, Queensland, Australia
| | - Adele C Green
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,CRUK Manchester Institute, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, United Kingdom
| | - Kiarash Khosrotehrani
- The University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.,Department of Dermatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Victoria Mar
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - H Peter Soyer
- The University of Queensland Diamantina Institute, Dermatology Research Centre, The University of Queensland, Brisbane, Queensland, Australia.,Department of Dermatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Joanne F Aitken
- Cancer Council Queensland, Brisbane, Queensland, Australia.,School of Public Health, University of Queensland, Brisbane, Queensland, Australia
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