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Background: Population-based cancer registry (PBCR) data provide crucial information for evaluating the effectiveness of cancer services and reflect prospects for cure by estimating population-based cancer survival. This study provides long-term trends in survival among patients diagnosed with cancer in the Barretos region (São Paulo State, Brazil)., Methods: In this population-based study, we estimated the one- and five-year age-standardized net survival rates of 13,246 patients diagnosed with 24 different cancer types in Barretos region between 2000 and 2018. The results were presented by sex, time since diagnosis, disease stage, and period of diagnosis., Results: Marked differences in the one- and five-year age-standardized net survival rates were observed across the cancer sites. Pancreatic cancer had the lowest 5-year net survival (5.5 %, 95 %CI: 2.9-9.4) followed by oesophageal cancer (5.6 %, 95 %CI: 3.0-9.4), while prostate cancer ranked the best (92.1 %, 95 %CI: 87.8-94.9), followed by thyroid cancer (87.4 %, 95 %CI: 69.9-95.1) and female breast cancer (78.3 %, 95 %CI: 74.5-81.6). The survival rates differed substantially according to sex and clinical stage. Comparing the first (2000-2005) and last (2012-2018) periods, cancer survival improved, especially for thyroid, leukemia, and pharyngeal cancers, with differences of 34.4 %, 29.0 %, and 28.7 %, respectively., Conclusion: To our knowledge, this is the first study to evaluate long-term cancer survival in the Barretos region, showing an overall improvement over the last two decades. Survival varied by site, indicating the need for multiple cancer control actions in the future with a lower burden of cancer., Competing Interests: Declaration of Competing Interest The authors declare that they have no competing interests related to the study “Cancer survival in the northwestern of São Paulo state, Brazil: a population-based study”., (Copyright © 2023. Published by Elsevier Ltd.)

In the presence of competing causes of event occurrence (e.g., death), the interest might not only be in the overall survival but also in the so-called net survival, that is, the hypothetical survival that would be observed if the disease under study were the only possible cause of death. Net survival estimation is commonly based on the excess hazard approach in which the hazard rate of individuals is assumed to be the sum of a disease-specific and expected hazard rate, supposed to be correctly approximated by the mortality rates obtained from general population life tables. However, this assumption might not be realistic if the study participants are not comparable with the general population. Also, the hierarchical structure of the data can induces a correlation between the outcomes of individuals coming from the same clusters (e.g., hospital, registry). We proposed an excess hazard model that corrects simultaneously for these two sources of bias, instead of dealing with them independently as before. We assessed the performance of this new model and compared it with three similar models, using extensive simulation study, as well as an application to breast cancer data from a multicenter clinical trial. The new model performed better than the others in terms of bias, root mean square error, and empirical coverage rate. The proposed approach might be useful to account simultaneously for the hierarchical structure of the data and the non-comparability bias in studies such as long-term multicenter clinical trials, when there is interest in the estimation of net survival., (© 2023 The Authors. Biometrical Journal published by Wiley-VCH GmbH.)

Background: Body mass index (BMI) and cardiometabolic comorbidities such as cardiovascular disease and type 2 diabetes have been studied as negative prognostic factors in cancer survival, but possible dependencies in the mechanisms underlying these associations remain largely unexplored. We analysed these associations in colorectal and breast cancer patients., Methods: Based on repeated BMI assessments of cancer-free participants from four European countries in the European Prospective Investigation into Cancer and nutrition (EPIC) study, individual BMI-trajectories reflecting predicted mean BMI between ages 20 to 50 years were estimated using a growth curve model. Participants with incident colorectal or breast cancer after the age of 50 years were included in the survival analysis to study the prognostic effect of mean BMI and cardiometabolic diseases (CMD) prior to cancer. CMD were defined as one or more chronic conditions among stroke, myocardial infarction, and type 2 diabetes. Hazard ratios (HRs) and confidence intervals (CIs) of mean BMI and CMD were derived using multivariable-adjusted Cox proportional hazard regression for mean BMI and CMD separately and both exposures combined, in subgroups of localised and advanced disease., Results: In the total cohort of 159,045 participants, there were 1,045 and 1,620 eligible patients of colorectal and breast cancer. In colorectal cancer patients, a higher BMI (by 1 kg/m2) was associated with a 6% increase in risk of death (95% CI of HR: 1.02-1.10). The HR for CMD was 1.25 (95% CI: 0.97-1.61). The associations for both exposures were stronger in patients with localised colorectal cancer. In breast cancer patients, a higher BMI was associated with a 4% increase in risk of death (95% CI: 1.00-1.08). CMDs were associated with a 46% increase in risk of death (95% CI: 1.01-2.09). The estimates and CIs for BMI remained similar after adjustment for CMD and vice versa., Conclusions: Our results suggest that cumulative exposure to higher BMI during early to mid-adulthood was associated with poorer survival in patients with breast and colorectal cancer, independent of CMD prior to cancer diagnosis. The association between a CMD diagnosis prior to cancer and survival in patients with breast and colorectal cancer was independent of BMI., (© 2022. The Author(s).)

Background: Here, we explore the association between excess weight during early to mid-adulthood and survival in patients diagnosed with breast and colorectal cancer, using a pooled analysis of five cohort studies and study participants from 11 countries., Methods: Participant-level body mass index (BMI) trajectories were estimated by fitting a growth curve model using over 2 million repeated BMI measurements from close to 600,000 cohort participants. Cumulative measures of excess weight were derived. Data from over 23,000 patients with breast and colorectal cancer were subsequently analyzed using time-to-event models for death with the date of diagnosis as start of follow-up. Study-specific results were combined through a random effect meta-analysis., Results: We found a significant dose-response relationship ( P trend = 0.013) between the average BMI during early and mid-adulthood and death from breast cancer, with a pooled HR of 1.31 (1.07-1.60) and the time to death shortened by 16% for average BMI above 25 kg/m 2 compared with average BMI less than or equal to 22.5 kg/m 2 , respectively. Similar results were found for categories of cumulative time spent with excess weight. There was no association between excess body fatness during early to mid-adulthood and death in patients with colorectal cancer., Conclusions: Excess body fatness during early to mid-adulthood is associated not only with an increased risk of developing cancer, but also with a lower survival in patients with breast cancer., Impact: Our results emphasize the importance of public health policies aimed at reducing overweight during adulthood and inform future studies on the relationship between excess weight and cancer outcomes., (©2021 American Association for Cancer Research.)

Obesity, often assessed at one point in time, is an established risk factor of several types of cancer, however, associations with cumulative exposure to obesity across the life course are not well understood. We investigated the relationship between combined measures of duration and intensity of premenopausal overweight and obesity and the incidence of postmenopausal breast, endometrial, and colorectal cancers in Icelandic women. Body mass index (BMI) trajectories between ages 20 and 50 of 88,809 women from the Cancer Detection Clinic Cohort were predicted using growth curve models. Indicators of overweight and obesity duration and intensity were computed and their association with risk of postmenopausal breast, endometrial, and colorectal cancers was examined using multivariate Cox models for subjects followed-up beyond the age of 50 (n = 67,488). During a mean follow-up of 17 years, incident events of 3,016 postmenopausal breast, 410 endometrial and 987 colorectal cancers were ascertained. Each 0.1 kg/m 2 per year increase in BMI between ages 20 and 50 was positively associated with risks of postmenopausal breast, endometrium and colorectal cancers with hazard ratios equal to 1.09 (95% Confidence Interval (CI):1.04-1.13), 1.31 (95% CI: 1.18-1.44) and 1.10 (95% CI: 1.00-1.21), respectively. Compared to women who were never obese, cumulative BMI × years of obesity were linearly positively associated with risk of endometrial cancer, whereas the association with breast cancer was initially positive, but leveled off with increasing cumulative BMI × years. Cumulative exposure to obesity may provide additional insights into the etiology of cancer and should be considered in future studies that assess obesity-cancer relationships., (© 2019 International Agency for Research on Cancer (IARC/WHO); licensed by UICC.)

Background: The impact of overweight duration and intensity during adulthood on the prognosis after a cancer diagnosis remains largely unknown. We investigated this association in Swedish women with breast and colorectal cancer., Methods: A cohort of 47,051 women from the Swedish Lifestyle and Health Study was included, of whom 1,241 developed postmenopausal breast (mean age at diagnosis, 57.5 years) and 259 colorectal (mean age at diagnosis, 59.1 years) cancer. Trajectories of body mass index (BMI) between ages 20 and 50 years were estimated for the full cohort using a quadratic growth model and studied in relation to risk of death from any cause using multivariate Cox regression models among cancer survivors., Results: Compared with patients with cancer who were never overweight (BMI < 25) during early adulthood (ages 20-50 years), the risk of early death from breast cancer increased by 3% [hazard ratio (HR) = 1.03; 95% confidence interval (CI), 1.01-1.05] and from colorectal cancer by 4% (HR = 1.04; 95% CI, 1.01-1.06) for every year lived with overweight. A higher intensity of overweight (i.e., a combination of duration and degree of overweight-a concept comparable to pack-years of cigarette smoking) further increased the risk of dying in this population. Although risks were slightly more pronounced for women diagnosed with late-stage breast cancer, no clear association was found for colorectal cancer., Conclusions: Our results suggest that adulthood overweight duration and intensity have a long-lasting influence on breast and colorectal cancer survival., Impact: Our study highlights the need for effective prevention of overweight and obesity starting at an early age., (©2019 American Association for Cancer Research.)

Background: Net survival is the survival that would be observed if cancer were the only possible cause of death. Although it is an important epidemiological tool allowing temporal or geographical comparisons, it cannot inform on the "crude" probability of death of cancer patients; i.e., when taking into account other possible causes of deaths., Methods: In this work, we provide estimates of the crude probabilities of death from cancer and from other causes as well as the probability of being alive up to ten years after cancer diagnosis according to the age and year of diagnosis. Based on a flexible excess hazard model providing unbiased estimates of net survival, our methodology avoids the pitfalls associated with the use of the cause of death. We used data from FRANCIM, the French network of cancer registries, and studied five common cancer sites: head and neck, breast, prostate, lung, and colorectal cancers., Results: For breast, prostate, and colorectal cancers, the impact of the other causes on the total probability of death increased with the age at diagnosis whereas it remained negligible for lung and head and neck cancers whatever the age. For breast, prostate, and colorectal cancer, the more recently was the cancer diagnosed, the less was the probability of death from cancer., Conclusion: The crude probability of death is an intuitive concept that may prove particularly useful in choosing an appropriate treatment, or refining the indication of a screening strategy by allowing the clinician to estimate the proportion of cancer patients who will die specifically from cancer., (Copyright © 2013 Elsevier Ltd. All rights reserved.)