Escalating burden of breast cancer in southern Thailand: Analysis of 1990–2010 incidence and prediction of future trends

BackgroundThailand is undergoing an epidemiologic transition, with decreasing incidence of infectious diseases and increasing rates of chronic conditions, including cancer. Breast cancer has the highest incidence rates among females both in the southern region Thailand and throughout Thailand. However, there is a lack of research on the epidemiology of this and other cancers.MethodsHere we use cancer incidence data from the Songkhla Cancer Registry to characterize and analyze the incidence of breast cancer in Southern Thailand. We use joinpoint analysis, age-period-cohort models and nordpred analysis to investigate the incidence of breast cancer in Southern Thailand from 1990 to 2010 and project future trends from 2010 to 2029.ResultsWe found that age-adjusted breast cancer incidence rates in Southern Thailand increased by almost 300% from 1990 to 2010 going from 10.0 to 27.8 cases per 100,000 person-years. Both period and cohort effects played a role in shaping the increase in incidence. Three distinct incidence projection methods consistently suggested that incidence rates will continue to increase in the future with incidence for women age 50 and above increasing at a higher rate than for women below 50.ConclusionsTo date, this is the first study to examine Thai breast cancer incidence from a regional registry. This study provides a basis for future planning strategies in breast cancer prevention and to guide hypotheses for population-based epidemiologic research in Thailand.     

National and regional breast cancer incidence and mortality trends in Mexico 2001–2011: Analysis of a population-based database

IntroductionBreast cancer is the most common malignancy in Mexican women since 2006. However, due to a lack of cancer registries, data is scarce. We sought to describe breast cancer trends in Mexico using population-based data from a national database and to analyze geographical and age-related differences in incidence and mortality rates.MethodsAll incident breast cancer cases reported to the National Epidemiological Surveillance System and all breast cancer deaths registered by the National Institute of Statistics and Geography in Mexico from 2001 to 2011 were included. Incidence and mortality rates were calculated for each age group and for 3 geographic regions of the country. Joinpoint regression analysis was performed to examine trends in BC incidence and mortality. We estimated annual percentage change (APC) using weighted least squares log-linear regression.ResultsWe found an increase in the reported national incidence, with an APC of 5.9% (95% CI 4.1–7.7, p < 0.05). Women aged 60–65 had the highest increase in incidence (APC 7.89%; 95% CI 5.5 −10.3, p < 0.05). Reported incidence rates were significantly increased in the Center and in the South of the country, while in the North they remained stable. Mortality rates also showed a significant increase, with an APC of 0.4% (95% CI 0.1–0.7, p < 0.05). Women 85 and older had the highest increase in mortality (APC 2.99%, 95% CI 1.9–4.1; p < 0.05).ConclusionsThe reporting of breast cancer cases in Mexico had a continuous increase, which could reflect population aging, increased availability of screening, an improvement in the number of clinical facilities and better reporting of cases. Although an improvement in the detection of cases is the most likely explanation for our findings, our results point towards an epidemiological transition in Mexico and should help in guiding national policy in developing countries.     

Secular trends in incidence and mortality of bladder cancer in China, 1990–2017: A joinpoint and age-period-cohort analysis

BackgroundBladder cancer is closely related to occupational carcinogens, and China is undergoing a rapid industrialization. However, trend of bladder cancer incidence and mortality remains unknown in China.MethodsIncidence and mortality rates of bladder cancer (1990–2017) were collected for each 5-year age group stratified by gender (males/females) from the Global Burden of Disease (GBD) 2017 study. The average annual percentage change (AAPC) of rates were analyzed by joinpoint regression analysis; age, period and cohort effects on incidence and mortality were simultaneously estimated by age-period-cohort model.ResultsThrough 1990–2017, age-standardized incidence rates significantly rose in men (AAPC = 0.72%, 95% CI: 0.5%, 0.9%) while decreased in women (-1.25%: -1.6%, -0.9%); age-standardized mortality rates decreased in both men (-1.09%: -1.2%, -0.9%) and women (-2.48%: -2.8%, -2.2%). The joinpoint regression analysis showed the mortality almost decreased in all age groups; while the incidence increased in men for older age groups (from 45 to 49 to 80–84). Moreover, age effect showed the incidence and mortality increased with age; the incidence and mortality increased with time period, while in women period effect stop decreasing and began to increase since 2007; cohort effect showed them decreased with birth cohorts.ConclusionsThe incidence of bladder cancer is increasing in men but mortality decreases in both sexes. Both the incidence and mortality in men substantially increase with age and period, while the rates in women increased with period since 2007. The period effect may indicate the increased risks to bladder cancer in Chinese men. Etiological studies are needed to identify the factors driving these trends of bladder cancer.     

Cancer predictive value of cytogenetic markers used in occupational health surveillance programs: a report from an ongoing study by the European Study Group on Cytogenetic Biomarkers and Health

The cytogenetic endpoints in peripheral blood lymphocytes: chromosomal aberrations (CA), sister chromatid exchange (SCE) and micronuclei (MN) are established biomarkers of exposure for mutagens or carcinogens in the work environment. However, it is not clear whether these biomarkers also may serve as biomarkers for genotoxic effects which will result in an enhanced cancer risk. In order to assess this problem, Nordic and Italian cohorts were established, and preliminary results from these two studies indicated a predictive value of CA frequency for cancer risk, whereas no such associations were observed for SCE or MN. A collaborative study between the Nordic and Italian research groups, will enable a more thorough evaluation of the cancer predictivity of the cytogenetic endpoints. We here report on the establishment of a joint data base comprising 5271 subjects, examined 1965–1988 for at least one cytogenetic biomarker. Totally, 3540 subjects had been examined for CA, 2702 for SCE and 1496 for MN. These cohorts have been followed-up with respect to subsequent cancer mortality or cancer incidence, and the expected values have been calculated from rates derived from the general populations in each country. Stratified cohort analyses will be performed with respect to the levels of the cytogenetic biomarkers. The importance of potential effect modifiers such as gender, age at test, and time since test, will be evaluated using Poisson regression models. The remaining two potential effect modifiers, occupational exposures and smoking, will be assessed in a case-referent study within the study base.     

Performances de la TEP au 18F-FDG dans la caractérisation initiale de la lésion primitive du cancer du sein

Objective¹⁸F-FDG PET/CT is for the moment not recommended for stage T of the TNM classification of breast cancer. The aim of our study was to evaluate the performance of ¹⁸F-FDG PET/CT in the initial staging of breast tumors. Tumor size, skin involvement and inflammation as well as the relationship between primary tumor maximum standardized uptake value (SUVmax) and histopathological grade (SBR), molecular tumor subtypes (luminal A and B, Her2 enriched, triple negative), estrogen receptors (ER), progesterone receptors (PR) and focality were evaluated.MethodsHistological reports of patients operated for breast cancer, without neoadjuvant chemotherapy, were compared to preoperative ¹⁸F-FDG PET/CT.ResultsSeventy-four patients who underwent surgery in 2016 were included. ¹⁸F-FDG PET/CT was able to visualize primary tumors in 91% and to correctly classify the T stage of the TNM classification in 81% of the cases, to detect multifocality in 73% and cutaneous and inflammatory breast cancers in 100%. The uptake intensity of ¹⁸F-FDG (SUVmax) was significantly correlated with histo-prognostic factors such as SBR grade (P = 0.02), lack of expression of estrogen receptors (ER) (P = 0.01) and progesterone (PR) (P = 0.02), positive HER2 status (P = 0.01) or triple negative subtype tumors (P = 0.02).Conclusion¹⁸F-FDG PET/CT provides relevant elements for local assessment, in particular, tumor focality and inflammatory character in addition to ensuring the regional and extension assessment.     

Modelling the Age-Period-Cohort Trend Surface

Age-period-cohort analysis of incidence and/or mortality data has received much attention in the literature. Though several authors seem to offer solutions to the non-identifiability problem inherent in this kind of analysis, the constraints imposed lack sound biological bases and the interpretability of the parameters is in doubt. By introducing the axes of ‘adjusted’ age, period, and cohort variables in the age-period-cohort trend surface, the authors find that separate effects from these variables can be estimated and can be clearly interpreted. The constraint behind the procedure is also found to be mathematically simple and elegant. Since the method still lacks a biological foundation, it is best viewed as an adjunct to the graphical trend-surface analysis rather than as a solution to the non-identifiability problem. Previously published mortality data of prostate cancer is used to illustrate the methodology.     

Breast cancer susceptibility loci in association with age at menarche,age at natural menopause and the reproductive lifespan

Background: Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) associated with breast cancer risk. Some of these loci have unknown functional significance and may mediate the effects of hormonal exposures on breast cancer risk. We examined relationships between breast cancer susceptibility variants and menstrual/reproductive factors using data from two population-based studies. Methods: The first analysis was based on a sample of 1328 women age 20–74 who participated as controls in a case–control study of breast cancer conducted in three U.S. states. We evaluated the associations between age at menarche, age at natural menopause and the reproductive lifespan with 13 previously identified breast cancer variants. Associations were also examined with a genetic score created as the sum of at-risk alleles across the 13 variants. For validation, significant results were evaluated in a second dataset comprised 1353 women age 43–86 recruited as part of a cohort study in Wisconsin. Results: Neither the genetic score nor any of the 13 variants considered individually were associated with age at menarche or reproductive lifespan. Two SNPs were associated with age at natural menopause; every increase in the minor allele (A) of rs17468277 (CASP8) was associated with a 1.12 year decrease in menopause age (p = 0.02). The minor allele (G) of rs10941679 (5p12) was associated with a 1.01 year increase in age at natural menopause (p = 0.01). The results were not replicated in the validation cohort (B = −0.61, p = 0.14 and B = −0.01, p = .0.98, respectively). Conclusions: The evaluated variants and reproductive experiences may work through separate pathways to influence breast cancer risk.     

Expanding the protein catalogue in the proteome reference map of human breast cancer cells

In this report we present a catalogue of 162 proteins (including isoforms and variants) identified in a prototype of proteomic map of breast cancer cells. This work represents the prosecution of previous studies describing the protein complement of breast cancer cells of the line 8701-BC, which has been well characterized for several parameters, providing to be a useful model for the study of breast cancer-associated candidate biomarkers. In particular, 110 spots were identified ex novo by PMF, or validated following previous gel matching identification method; 30 were identified by N-terminal microsequencing and the remaining by gel matching with maps available from our former work. As a consequence of the expanded number of proteins, we have updated our previous classification extending the number of protein groups from 4 to 13. In order to facilitate comparative proteome studies of different kinds of breast cancers, in this report we provide the whole complement of proteins so far identified and grouped into the new classification. A consistent number of them were not described before in other proteomic maps of breast cancer cells or tissues, and therefore they represent a valuable contribution for breast cancer protein databases and for future application in basic and clinical researches.