scholarly journals Lung, Breast and Colorectal Cancer Incidence by Socioeconomic Status in Spain: A Population-Based Multilevel Study

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2820
Author(s):  
Daniel Redondo-Sánchez ◽  
Rafael Marcos-Gragera ◽  
Marià Carulla ◽  
Arantza Lopez de Munain ◽  
Consol Sabater Gregori ◽  
...  

Socioeconomic inequalities in cancer incidence are not well documented in southern Europe. We aim to study the association between socioeconomic status (SES) and colorectal, lung, and breast cancer incidence in Spain. We conducted a multilevel study using data from Spanish population-based cancer registries, including incident cases diagnosed for the period 2010–2013 in nine Spanish provinces. We used Poisson mixed-effects models, including the census tract as a random intercept, to derive cancer incidence rate ratios by SES, adjusted for age and calendar year. Male adults with the lowest SES, compared to those with the highest SES, showed weak evidence of being at increased risk of lung cancer (risk ratio (RR): 1.18, 95% CI: 0.94–1.46) but showed moderate evidence of being at reduced risk of colorectal cancer (RR: 0.84, 95% CI: 0.74–0.97). Female adults with the lowest SES, compared to those with the highest SES, showed strong evidence of lower breast cancer incidence with 24% decreased risk (RR: 0.76, 95% CI: 0.68–0.85). Among females, we did not find evidence of an association between SES and lung or colorectal cancer. The associations found between SES and cancer incidence in Spain are consistent with those obtained in other European countries.

2018 ◽  
Vol 103 (6) ◽  
pp. 2182-2188 ◽  
Author(s):  
Jakob Dal ◽  
Michelle Z Leisner ◽  
Kasper Hermansen ◽  
Dóra Körmendiné Farkas ◽  
Mads Bengtsen ◽  
...  

Abstract Context Acromegaly has been associated with increased risk of cancer morbidity and mortality, but research findings remain conflicting and population-based data are scarce. We therefore examined whether patients with acromegaly are at higher risk of cancer. Design A nationwide cohort study (1978 to 2010) including 529 acromegaly cases was performed. Incident cancer diagnoses and mortality were compared with national rates estimating standardized incidence ratios (SIRs). A meta-analysis of cancer SIRs from 23 studies (including the present one) was performed. Results The cohort study identified 81 cases of cancer after exclusion of cases diagnosed within the first year [SIR 1.1; 95% confidence interval (CI), 0.9 to 1.4]. SIRs were 1.4 (95% CI, 0.7 to 2.6) for colorectal cancer, 1.1 (95% CI, 0.5 to 2.1) for breast cancer, and 1.4 (95% CI, 0.6 to 2.6) for prostate cancer. Whereas overall mortality was elevated in acromegaly (SIR 1.3; 95% CI, 1.1 to 1.6), cancer-specific mortality was not. The meta-analysis yielded an SIR of overall cancer of 1.5 (95% CI, 1.2 to 1.8). SIRs were elevated for colorectal cancer, 2.6 (95% CI, 1.7 to 4.0); thyroid cancer, 9.2 (95% CI, 4.2 to 19.9); breast cancer, 1.6 (1.1 to 2.3); gastric cancer, 2.0 (95% CI, 1.4 to 2.9); and urinary tract cancer, 1.5 (95% CI, 1.0 to 2.3). In general, cancer SIR was higher in single-center studies and in studies with <10 cancer cases. Conclusions Cancer incidence rates were slightly elevated in patients with acromegaly in our study, and this finding was supported by the meta-analysis of 23 studies, although it also suggested the presence of selection bias in some earlier studies.


2011 ◽  
Vol 22 (2) ◽  
pp. 329-334 ◽  
Author(s):  
L. Daubisse-Marliac ◽  
P. Delafosse ◽  
J.B. Boitard ◽  
F. Poncet ◽  
P. Grosclaude ◽  
...  

Author(s):  
Stephanie C Melkonian ◽  
Hannah K Weir ◽  
Melissa A Jim ◽  
Bailey Preikschat ◽  
Donald Haverkamp ◽  
...  

Abstract Cancer incidence varies among American Indian and Alaska Native (AI/AN) populations, as well as between AI/AN and White populations. This study examined trends for cancers with elevated incidence among AI/AN compared with non-Hispanic White populations and estimated potentially avoidable incident cases among AI/AN populations. Incident cases diagnosed during 2012–2016 were identified from population-based cancer registries and linked with the Indian Health Service patient registration databases to improve racial classification of AI/AN populations. Age-adjusted rates (per 100,000) and trends were calculated for cancers with elevated incidence among AI/AN compared with non-Hispanic White populations (rate ratio >1.0), by region. Trends were estimated using joinpoint regression analyses. Expected cancers were estimated by applying age-specific cancer incidence rates among non-Hispanic White populations to population estimates for AI/AN populations. Excess cancer cases among AI/AN populations were defined as observed minus expected cases. Liver, stomach, kidney, lung, colorectal and female breast cancers had higher incidence rate among AI/AN populations across most regions. Between 2012 and 2016, nearly 5,200 excess cancers were diagnosed among AI/AN populations, with the largest number of excess cancers (1,925) occurring in the Southern Plains region. Culturally informed efforts may reduce cancer disparities associated with these and other cancers among AI/AN populations.


2015 ◽  
Vol 144 (4) ◽  
pp. 156-160 ◽  
Author(s):  
Carmen Natal ◽  
Martín Caicoya ◽  
Miguel Prieto ◽  
Adonina Tardón

2019 ◽  
Author(s):  
Ines Mesa-Eguiagaray ◽  
Sarah H Wild ◽  
Philip S. Rosenberg ◽  
Sheila M Bird ◽  
David H Brewster ◽  
...  

AbstractBackgroundStrategies for breast cancer prevention are informed by assessing whether incidence differs by tumour biology. We describe temporal trends of breast cancer incidence by molecular subtypes in Scotland.MethodsPopulation-based cancer registry data on 72,217 women diagnosed with incident primary breast cancer from 1997 to 2016 were analysed. Age-standardised rates (ASR) and age-specific incidence were estimated by tumour subtype after imputing the 8% of missing oestrogen receptor (ER) status. Joinpoint regression and age- period- cohort models were used to assess whether significant differences were observed in incidence trends by ER status.ResultsER positive tumour incidence steadily increased particularly for women of screening age 50 to 69 years from 1997 till around 2011 (1.6%/year, 95%CI: 1.2 to 2.1). ER negative incidence decreased among all ages at a consistent rate of −0.7%/year (95%CI: −1.5, 0) from around 2000-2016. Compared to the 1941-1959 central birth cohort, women born 1912-1940 had lower incidence rate ratios (IRR) for ER+ tumours and women born 1960- 1986 had higher IRR for ER- tumours.ConclusionsWe show evidence of aetiologic heterogeneity of breast cancer. Future incidence and survival reporting should be monitored by molecular subtypes.


1994 ◽  
Vol 80 (2) ◽  
pp. 118-123 ◽  
Author(s):  
Lauro Bucchi ◽  
Monica Serafini ◽  
Oriana Nanni ◽  
Gianfranco Buzzi ◽  
Nori Morini ◽  
...  

Aims and Background In the field of breast cancer control, obtaining population-based data on spontaneous mammography (MG) screening should be a priority. This study focuses on the breast cancer incidence and stage distribution in relation to MG use in Ravenna (Italy), 1987-88. Methods We estimated the MG rates, expected (E) incidence based on mortality data, observed (O) incidence, predicted excess incidence based on MG rates, observed excess incidence, and stage distribution according to the MG history. Results The highest MG rate (37%) was found among residents aged 40-44 but none of these had a T1a-bN0 breast cancer diagnosed nor was the predicted excess incidence demonstrated. Between 45 and 64 years, 80% of self-selected screenees had repeat (“incidence”) MG and the O:E incidence ratio was 1.32 (95% Cl 1.09-1.58). The observed excess incidence was 3.8-fold (95% Cl 2.56-5.16) greater than that predicted. Advanced (T2+ and/or N1+) cases accounted for 42% of patients diagnosed within 3 years of their last MG, for 55% of those diagnosed more than 3 years after their last MG, and for 70% of those with no previous MG. Above age 70, a significant worsening of stage at diagnosis was associated with a clear-cut drop in the proportion of breast cancer patients with previous self-referral for MG. Conclusions The results indicate that self-selection and its implications are major features of spontaneous screening practice.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e13059-e13059
Author(s):  
Theresa Lynn Schwartz ◽  
Lorinette Wirth ◽  
Laurence Diggs ◽  
Leslie J. Hinyard

e13059 Background: While incidence rates of breast cancer have been shown to vary based on age and race, hormone receptor (HR) subtype is an important prognostic indicator and it is unclear to what extent HR subtype varies across age and race. Identifying breast cancer at an early stage, especially in the more aggressive subtypes, correlates with improved overall outcomes. In this study we sought to examine the distribution age, race, within HR subtype in women diagnosed with incident breast cancer. Methods: Data from the SEER registry, years 2010-2013, was queried to produce race stratified age distributions of incident cases of invasive female breast cancer according to HR subtype: Her2+/HR+ (n = 21288), Her2+/HR- (n = 9325), Her2-/HR+ (n = 153130), Her2-/HR- (n = 24455). Race was categorized as White, Black, and Other. Mantel-Haenszel Chi-Square (χ2MH) test was used to determine whether racial variations across the age categories (20-44 years, 45-64 years, and 65+ years) were the same across hormone receptor subtypes. Results: Across all HR subtypes and race categories, incident breast cancer burden was highest among women aged 45-64 years (p < 0.001). Age distribution differed significantly across HR subtypes (p < 0.001). Variations across age distributions and race differed by HR subtypes (p < 0.001). When the incident burden for younger Black women (aged ≤ 44 years) to Black women aged 45-64 years was compared to the same age categories for White women, it was found that variations across the racial and age groups were different across HR subtypes (p < 0.001). These results would suggest a significant three-way interaction between age, race, and HR subtype. Conclusions: There are significant differences in breast cancer incidence according to age, race, and HR subtype. Further investigation into a mortality effect is necessary to determine breast cancer screening strategies when these variables are taken into consideration.


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