Distribution Of Cancer Mortality Research Articles

Cancer mortality distribution in South Africa, 1997-2016.

The mortality data in South Africa (SA) have not been widely used to estimate the patterns of deaths attributed to cancer over a spectrum of relevant subgroups. There is no research in SA providing patterns and atlases of cancer deaths in age and sex groups per district per year. This study presents age-sex-specific geographical patterns of cancer mortality at the district level in SA and their temporal evolutions from 1997 to 2016. Individual mortality level data provided by Statistics South Africa were grouped by three age groups (0-14, 15-64, and 65+), sex (male and female), and aggregated at each of the 52 districts. The proportionate mortality ratios (PMRs) for cancer were calculated per 100 residents. The atlases showing the distribution of cancer mortality were plotted using ArcGIS. Spatial analyses were conducted through Moran's I test. There was an increase in PMRs for cancer in the age groups 15-64 and 65+ years from 2006 to 2016. Ranges were 2.83 (95% CI: 2.77-2.89) -4.16 (95% CI: 4.08-4.24) among men aged 15-64 years and 2.99 (95% CI: 2.93-3.06) -5.19 (95% CI: 5.09-5.28) among women in this age group. The PMRs in men and women aged 65+ years were 2.47 (95% CI: 2.42-2.53) -4.06 (95% CI: 3.98-4.14), and 2.33 (95% CI: 2.27-2.38) -4.19 (95% CI: 4.11-4.28). There were considerable geographical variations and similarities in the patterns of cancer mortality. For the age group 15-64 years, the ranges were 1.18 (95% CI: 0.78-1.71) -8.71 (95% CI: 7.18-10.47), p < 0.0001 in men and 1.35 (95% CI: 0.92-1.92) -10.83 (95% CI: 8.84-13.14), p < 0.0001 in women in 2016. There were higher PMRs among women in the Western Cape, Northern Cape, North West, and Gauteng compared to other areas. Similar patterns were also observed among men in these provinces, except in North West and Gauteng. The identification of geographical and temporal distributions of cancer mortality provided evidence of periods and districts with similar and divergent patterns. This will contribute to understanding the past, present, future trends and formulating interventions at a local level.

Cancer risk across mammals

Cancer is a ubiquitous disease of metazoans, predicted to disproportionately affect larger, long-lived organisms owing to their greater number of cell divisions, and thus increased probability of somatic mutations1,2. While elevated cancer risk with larger body size and/or longevity has been documented within species3–5, Peto’s paradox indicates the apparent lack of such an association among taxa6. Yet, unequivocal empirical evidence for Peto’s paradox is lacking, stemming from the difficulty of estimating cancer risk in non-model species. Here we build and analyse a database on cancer-related mortality using data on adult zoo mammals (110,148 individuals, 191 species) and map age-controlled cancer mortality to the mammalian tree of life. We demonstrate the universality and high frequency of oncogenic phenomena in mammals and reveal substantial differences in cancer mortality across major mammalian orders. We show that the phylogenetic distribution of cancer mortality is associated with diet, with carnivorous mammals (especially mammal-consuming ones) facing the highest cancer-related mortality. Moreover, we provide unequivocal evidence for the body size and longevity components of Peto’s paradox by showing that cancer mortality risk is largely independent of both body mass and adult life expectancy across species. These results highlight the key role of life-history evolution in shaping cancer resistance and provide major advancements in the quest for natural anticancer defences.

Spatial and temporal distribution of cancer mortality in a Brazilian Legal Amazon State between 2000 and 2015.

To analyze the spatial distribution of the four-year cancer mortality rates in the state of Mato Grosso, Brazil, from 2000 to 2015. Ecological design study, in which mortality from neoplasia was analyzed, from 2000 to 2015, for the municipalities of Mato Grosso State. Mortality rates due to cancer were calculated by the ratio of the sum of deaths by cancer in each quadrennium, divided by the average of the population in the two central years of the period, multiplied by 10,000 inhabitants. Annual percentage change was calculated by the ratio of the linear regression coefficient to the cancer mortality rates in Mato Grosso State at the beginning of the analyzed period (2000 to 2003). Thematic maps were constructed for each quadrennium using intervals of equal classes. Cancer caused 31,097 deaths in the state of Mato Grosso in the period, 13,058 in women and 18,039 in men, with a male to female ratio of 1.38. The top five causes of cancer death in the period were lung (12.2%), prostate (8.7%), stomach (7.7%), breast (6.0%), and liver (4.7%). There was an increase in the number of municipalities with rates greater than 23.67 deaths per 100,000 inhabitants in the period. There was an increase in cancer mortality and an increase in the proportion of municipalities with higher mortality rates. Higher density of cancer mortality occurred in the municipalities located in the West, Center-South, Southeast, and Center-North regions of the state.

Geographical variations in cancer mortality and social inequalities in southern Spain (Andalusia). 2002-2013.

IntroductionGeographical variations in cancer mortality can be explained, in part, by their association with social inequalities. The objective of our study was to analyse the spatial pattern of mortality in relation to the most common causes of cancer in the Spanish autonomous community of Andalusia and its possible association with social inequalities.Materials and methodsA small area cross-sectional study in Andalusia, with census tracts as units of spatial analysis, for the period 2002–2013. Cases and person-years, sex and age group came from the Longitudinal Population Database of Andalusia. Standardized mortality rates and smoothed risk ratios were calculated using the Besag, York and Mollié model for lung, colorectal, breast, prostate, bladder and stomach cancer. In order to evaluate the association with social inequalities we included the deprivation index of the census tract as a covariate.ResultsThe results show an East-West mortality pattern with higher risk in the west for lung and bladder cancer among men, and breast cancer among women. For all of Andalusia, the association between deprivation index of the census tract and mortality relative risks is positive and significant for lung, stomach and bladder cancers in men, while in women we observed a negative association for lung cancer and a positive for stomach cancer.ConclusionsKnowledge regarding the spatial distribution of cancer mortality and the socioeconomic inequalities related should contribute to the design of specific health and social policies–aimed at tackling cancer mortality and social inequalities in areas of high mortality and/or levels of deprivation.

Geographical distribution of death due to cancer in Kerman Province, Southeast Iran (2012-2016): A comparison of proportional mortality and age-adjusted mortality rate

Background: In Iran, cancer kills 30,000 people, annually. The epidemiology of cancer is gradually changing as a result of the demographic and epidemiological transition in Iran. This study aimed at presenting a geographical distribution of cancer mortality in Southeast area of Iran, and comparing proportional mortality and age-adjusted mortality rates.&#x0D; Methods: The present study was a descriptive study that was performed on mortality data recorded in the Center for Statistics Management of Health Ministry at Kerman and Rafsanjan Universities of Medical Sciences in the period 2012-2016. This information was used to determine the age-standardized mortality rate per 100,000 people and proportional mortality for each district in Kerman Province.&#x0D; Results: The proportional mortality for all cancers in Kerman and Rafsanjan Universities were 11.54% and 18%, respectively. Standardized mortality rates for all cancers in males in Kerman and Rafsanjan universities were also 81.9 and 81.3 per 100,000, respectively, while for females, it was 57.3 and 51.6 per 100,000 people, respectively.&#x0D; Conclusion: Our results presented a general picture of the mortality due to cancer in one of the widest provinces of the country with more than 1.5 million habitants .Standardized mortality rates for all cancers in males and females in Rafsanjan universities was lower than Kerman. In spite of higher proportional mortality in Rafsanjan, the rate of death by cancer in Rafsanjan was lower than Kerman.

Application of sandwich spatial estimation method in cancer mapping: A case study for breast cancer mortality in the Chinese mainland, 2005.

High-accuracy spatial distribution estimation is crucial for cancer prevention and control. Due to their complicated pathogenic factors, the distributions of many cancers' mortalities appear blocky, and spatial heterogeneity is common. However, most of the commonly used cancer mapping methods are based on spatial autocorrelation theory. Sandwich estimation is a new method based on spatial heterogeneity theory. A modified sandwich estimation method suitable for the estimation of cancer mortality distribution is proposed in this study. The variances of cancer mortality data are used to fuse sandwich estimation results from various auxiliary variables, the feasibility of which in estimating cancer mortality distributions is explained theoretically. The breast cancer (BC) mortality of the Chinese mainland in 2005 was taken as a case, and the accuracy of the modified sandwich estimation method was compared with that of the Hierarchical Bayesian (HB), the Co-Kriging (CK) and the Ordinary Kriging (OK) methods. The accuracy of the modified sandwich estimation method was better than the HB, the CK and the OK methods, and the estimation result from the modified sandwich estimation method was more likely to be acceptable. Therefore, this study represents an attempt to apply the sandwich estimation method to the estimation of cancer mortality distributions with strong spatial heterogeneity, which holds great potential for further application.

Socio-Environmental Patterns Associated with Cancer Mortality: A Study Based on a Quality of Life Approach

Background:With 18.6% of total deaths due to malignant tumors in 2016, cancer is the second leading death cause in Argentina. While there is a broad consensus on common risk factors at the individual cancer level, those operating at a contextual level have been poorly studied in developing countries. The objective of our study was to identify socio-environmental patterns in Argentina (2010), emphasizing quality of life, and to explore their associations with the spatial distribution of cancer mortality in the country.Methods:The study was conducted in 525 geographical divisions nested into 24 provinces. Sex-specific crude and age-standardized mortality rates (ASMR) for cancer (2009-2011 period) were calculated. Empirically derived socio-environmental patterns were identified through principal-component factor analysis on a selected set of variables: an urban scale and 29 indicators of a quality of life index in Argentina for 2010. Two-level Poisson regression models were used to estimate associations between the ASMR and the continuous factor scores for socio-environmental patterns as covariates. A random intercept was included to account for spatial variability in the ASMR distribution using Stata software.Results:Four socio-environmental patterns were identified, termed “Contexts with urban-related resources or cultural capital”, “Socioeconomically prosperous contexts”, “Environments with anthropic exposures” and “Plains region” (cumulative explained variance=57%). High mortality rates were found in counties characterized by socioeconomically prosperous contexts (RR=1.025 in women; 1.088 in men) and plain landscapes (RR=1.057 and 1.117, respectively). Counties featuring urban or cultural resources demonstrated increased mortality in women (RR=1.015, 95%CI=1.005-1.025), whereas rising rates associated with environments having anthropic exposures (RR=1.008, 95%CI=1.001-1.016) were observed only for men.Conclusion:This study identified four characteristic socio-environmental patterns in Argentina which incorporate features of quality of life, accounting to some extent for the differential burden of cancer mortality in this country.

The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009\u20132013)

BackgroundKnowledge regarding the geographical distribution of diseases is essential in public health in order to define strategies to improve the health of populations and quality of life.The present study aims to establish a methodology to choose a suitable geographic aggregation level of data and an appropriated method which allow us to analyze disease spatial patterns in mainland Portugal, avoiding the “small numbers problem.” Malignant cancer mortality data for 2009–2013 was used as a case study.MethodsTo achieve our aims, we used official data regarding the mortality by all malignant cancer, between 2009 and 2013, and the mainland Portuguese resident population in 2011. Three different spatial aggregation levels were applied: Nomenclature of Territorial Units for Statistics, level III (28 areas), municipalities (278 areas), and parishes (4050 areas).Standardized Mortality Ratio (SMR) and relative risk (RR) were computed with Besag, York and Mollié model (BYM) for the evaluation of geographic patterns of mortality data. We also estimated Global Moran’s I, Local Moran’s I, and posterior probability (PP) for the spatial cluster analysis.ResultsOur results show that the occurrence of lower and higher extreme values of the standardized mortality ratio tend to increase with the decrease of data spatial aggregation. In addition, the number of local clusters is higher at small spatial aggregation levels, although the area of each cluster is generally smaller. Regarding global clustering, data forms clusters at all considered levels.Relative risk (RR) computed by Besag, York and Mollié model, in turn, also shows different results at the municipalities and parishes levels. However, the difference is smaller than the difference obtained by SMR computation. This statement is supported by the coefficient variation values.ConclusionsOur findings show that the choice of spatial data aggregation level has high importance in the research results, as different aggregation levels can lead to distinct results.In terms of the case study, we conclude that for the period of 2009–2013, cancer mortality in mainland Portugal formed clusters. The most suitable applicable spatial scale and method seemed to be at the municipalities level and Besag, York and Mollié model, respectively. However, further studies should be conducted in order to provide greater support to these results.

Risk of Dying from Cancer by Socio-demographic Indicators in the Slovak Republic.

Cancer mortality distribution was investigated by detailed neoplasms groups, age, sex, marital status of deceased, and regions in the Slovak Republic, and examined how these determinants influence the odds of dying due to cancer. A retrospective analysis of cancer mortality statistics registered in the Slovak Republic during the years 1996-2014. For this time period, data was available only on the underlying subgroups of cancer deaths, place of death, age, year, sex, and marital status. Binary logistic regression was applied for odds of dying calculation influenced by these socio-demographic factors. The most common are deaths from malignant neoplasms of digestive organs in males as well as females. The biggest difference among both genders is recognized in malignant neoplasms of lip, oral cavity and pharynx, where deaths among males are on average 7.9 times higher in comparison to females. As for place of death the Bratislava region reports the highest level of cancer mortality stated at 25.22% of all deaths, on the contrary the Banská Bystrica region reports only 21.40% of all deaths. Age has a negative influence on odds of dying due to neoplasms compared to all other causes of death by 1.7%. In all regions compared to the reference Bratislava region, the odds of dying from neoplasms are lower. Being female diminishes the odds of dying due to neoplasms by 25.7% compared to males. Yearly the relative ratio of dying from neoplasms increases with respect to all other causes of death. When single people are set as the reference category, the relation of the probability of death from cancer to the probability of death due to other causes of death is higher for married, divorced and widowed persons. The results should be taken into account when comparing risk of dying due to cancer among people with the mentioned sociodemographic characteristics. Health policy makers should consider place of death and cancer types while planning hospital care units.

Noise Filtering Cancer Mortality Data for a Better Assessment of Health-Environment Relationships: Application to the Picardy Region

Cancer is one of the leading causes of mortality. However, it is necessary to analyze this disease from different perspectives. Cancer mortality maps are used by public health officials to identify areas of excess and to guide surveillance and control activities. However, the interpretation of these maps is difficult due to the presence of extremely unreliable rates, which typically occur for sparsely populated areas and/or less frequent cancers. The analysis of the relationships between health data and risk factors is often hindered by the fact that these variables are frequently assessed at different geographical scales. Geostatistical techniques that have enabled the process of filtering noise from the maps of cancer mortality and estimating the risk at different scales were recently developed. This paper presents the application of Poisson kriging for the examination of the spatial distribution of cancer mortality in the Picardy region, France. The aim of this study is to incorporate the size and shape of administrative units as well as the population density into the filtering of noisy mortality rates and to estimate the corresponding risk at a fine resolution.

Global and regional estimates of cancer mortality and incidence by site: I. Application of regional cancer survival model to estimate cancer mortality distribution by site.

BackgroundThe Global Burden of Disease 2000 (GBD 2000) study starts from an analysis of the overall mortality envelope in order to ensure that the cause-specific estimates add to the total all cause mortality by age and sex. For regions where information on the distribution of cancer deaths is not available, a site-specific survival model was developed to estimate the distribution of cancer deaths by site.MethodsAn age-period-cohort model of cancer survival was developed based on data from the Surveillance, Epidemiology, and End Results (SEER). The model was further adjusted for the level of economic development in each region. Combined with the available incidence data, cancer death distributions were estimated and the model estimates were validated against vital registration data from regions other than the United States.ResultsComparison with cancer mortality distribution from vital registration confirmed the validity of this approach. The model also yielded the cancer mortality distribution which is consistent with the estimates based on regional cancer registries. There was a significant variation in relative interval survival across regions, in particular for cancers of bladder, breast, melanoma of the skin, prostate and haematological malignancies. Moderate variations were observed among cancers of colon, rectum, and uterus. Cancers with very poor prognosis such as liver, lung, and pancreas cancers showed very small variations across the regions.ConclusionsThe survival model presented here offers a new approach to the calculation of the distribution of deaths for areas where mortality data are either scarce or unavailable.

Investigation of the Geographical Distribution of Female Cancer Patterns in Belgium Using Pattern Recognition Techniques

Different multivariate methods have been applied to obtain an overview of the Belgian female cancer mortality distribution. The resulting maps and figures show the patterns of female cancer mortality to be strongly geographically determined. Two major trends can be derived namely along the north-south axis and along the east-west axis of the country. The cancer sites responsible for these patterns are identified.

Correlations between Cancer Mortality Rates from Various Italian Regions

Death certification rates from 17 non-sexual and 4 sexual cancers were used to examine patterns of correlation between various cancers within the 20 Italian regions. A large number of strongly positive correlations emerged, reflecting the geographical distribution of cancer mortality in Italy which shows substantially higher rates for several common sites in northern areas. The most notable findings were the high positive correlations between various tobacco-related cancers in both sexes (however somewhat higher in males), the positive correlations between most intestinal sites and between a well defined group of other cancers including intestines in both sexes, breast and ovary in females and prostate in males, previously described in several widely heterogeneous populations. Various alcohol-related cancers showed high positive coefficients in males but not in females. Several suggestions which emerged from previous correlation studies but which generally lacked convincing biological or epidemiological consistency were not confirmed by the present data. Conversely, a few strong correlations emerged in the present study which are not explainable in terms of available knowledge of the causes of cancer, or obvious confounding. Though probably incidental, the existence of these correlations between cancers with widely heterogeneous or largely undefined etiology is still an indirect indication that these neoplasms are largely avoidable, since it is unlikely that the same genetic determinants are strongly associated with such different malignancies.

Geographical variation of cancer mortality in Italy.

The distribution of death certification rates from various cancers or groups of cancers in broad Italian geographical areas (north/centre/south) was analysed. In both sexes, total cancer mortality was considerably elevated in the north of the country compared to southern regions (around 70% for males and 30% for females in the truncated 35-64 rate), and generally intermediate in central areas. Northern mortality rates were higher for respiratory cancers and other tobacco related neoplasms (excluding bladder), with a north/south ratio ranging from 1.5 for lung and most respiratory sites to about 4.0 for oesophageal cancer in males. There was little tendency towards a leveling of these differences in younger (40-49 year old) males. Northern areas showed higher death certification rates for cancers of the stomach, large bowel, liver and most other digestive sites. The lower gastric cancer mortality registered in southern Italy is curious, since this is the poorest part of the country. Death certification rates from all other common neoplasms (uterus apart) were also elevated in the north. The geographical variation, however, appeared more limited for non-epithelial neoplasms. The substantial differences in cancer mortality between various Italian geographical areas can hardly be dismissed as due to lower death certification accuracy in the south. Some of the differences can be explained in terms of available knowledge of the causes of cancer (eg reproductive factors for breast and ovarian neoplasms, alcohol plus tobacco for oesophageal cancer). However, the lower mortality from respiratory cancers in southern areas can only with some difficulty be totally explained in terms of tobacco consumption. Likewise, the north/south variation cannot be related to non-specific consequences of industrialization, since cancer mortality was similarly elevated in highly industrialized and chiefly rural northern areas. It is conceivable that dietary factors may also explain some of the differences. However, at present, there is no obvious general explanation for this quite peculiar geographical distribution of cancer mortality within a single country.

A study of the geographical pattern of cancer mortality for selected sites by means of factor analysis

Abstract The spatial distribution of cancer mortality and morbidity has been studied by many authors, and its characteristic pattern as to the various cancer sites was the object of the research of many epidemiologists. It has been generally recognized that any of the specific factors do not contribute independently but interdependently to the etiology in chronic diseases. With this in mind, it is natural to assume that there exist multiple factors which collaborate with each other in the pathogenesis of cancer of various sites. To test interdependence of variables, we set out to analyse the pattern of the geographical distributions of the cancer deaths in Japan, using the method of factor analysis which has been characterized as a useful method for analyzing the correlated variables. Five independent factors are extracted from the mutual correlations among the site-specific mortality rates on various cancers and that these factors were commonly found in both sexes, although slight discordance was noticed in some factors. Among the factors extracted, the first one attracted us the most, since the fact that bone, bladder, skin and buccal cancers clustered in one group suggest a possible relationship of these cancers to atmospheric temperature. An alternative fact that interests us is the conspicuous variability in the geographical distribution of lung cancer. Finally, we add that consistently high correlations were obtained for the mortality rates between any two of the different three time periods.

Study of Cancer Mortality by Grid Square Method

The grid square method as used in Japan has been standardized by the government, by use of the lines of the earth's latitude and longitude. The basic unit covers an area of approximately one square kilometer. An evaluation of this method is focused on the geographical distribution of cancer mortality in the city of Tokyo over a period of six years. The results indicated that for stomach and lung cancers, there was a very clear geographical distribution. High stomach cancer areas were similar for both males and females, and by comparing data with census data, it was evident that the blue-collar areas showed high mortality. High lung cancer areas were also similar for both males and females, but the distribution was opposite to that of stomach cancer, i.e., the higher mortality was observed in white-collar areas. Because the basic area unit of one square kilometer was too small for statistical analysis of geographical distribution, the moving average of nine grid squares as well as a "combined grid square method" based on population density was used. By this study a number of advantages of the grid square method as opposed to methods employing existing government boundaries became evident. The boundary lines do not move with political expediencies. X-Y coordinates can be easily defined for statistical analyses by computer, facilitating computer mapping, calculating the center of distribution, determination of the contour lines, and the estimation of values in places which lie between sampling stations.

Study of cancer mortality by grid square method.

The grid square method as used in Japan has been standardized by the government, by use of the lines of the earth's latitude and longitude. The basic unit covers an area of approximately one square kilometer. An evaluation of this method is focused on the geographical distribution of cancer mortality in the city of Tokyo over a period of six years. The results indicated that for stomach and lung cancers, there was a very clear geographical distribution. High stomach cancer areas were similar for both males and females, and by comparing data with census data, it was evident that the blue-collar areas showed high mortality. High lung cancer areas were also similar for both males and females, but the distribution was opposite to that of stomach cancer, i.e., the higher mortality was observed in white-collar areas. Because the basic area unit of one square kilometer was too small for statistical analysis of geographical distribution, the moving average of nine grid squares as well as a "combined grid square method" based on population density was used. By this study a number of advantages of the grid square method as opposed to methods employing existing government boundaries became evident. The boundary lines do not move with political expediencies. X-Y coordinates can be easily defined for statistical analyses by computer, facilitating computer mapping, calculating the center of distribution, determination of the contour lines, and the estimation of values in places which lie between sampling stations.

Some epidemiological features of breast cancer among males

Mortality and morbidity data for breast cancer in males are reviewed and the following observations are made: 1. 1. The age-specific mortality rates increase exponentially throughout life with a greater rate of increase before 40–50 years of age. 2. 2. The age-specific mortality rates are higher for nonwhites in every age group except for those individuals over 80 years of age. During the period 1939–1958, there was a higher mortality rate for nonwhite males. Whereas the white mortality rates have been slowly declining since 1947, the overall pattern for nonwhites has not changed. 3. 3. In a comparison of breast cancer mortality in nine countries, we observed that for both males and females the rates were lowest for Finland and Japan. 4. 4. The breast cancer mortality ratio is least for the married male and female. However, the striking excess mortality present in the single female group was not observed in the single male, but rather in the widowed and divorced groups. 5. 5. A study of the distribution of cancer mortality among Jews and Christians in the white population of New York City during the period 1953–1958 indicated that the average annual breast cancer death rates were highest for the Jewish males and females. 6. 6. The need for and objectives of a controlled field study of breast cancer in males were emphasized and discussed.

Distribution of Cancer Mortality Among Ethnic Subgroups of the White Population of New York City, 1953–58&lt;xref ref-type="fn" rid="FN1"&gt;2&lt;/xref&gt;

Data on 84,341 deaths of white residents in New York City occurring in the years 1953–58 and attributed to malignant neoplasm were examined with respect to nativity status and religion. Comparison was with estimates of the religious distribution of the population of the city and with a 2 percent sample of deaths from all causes in 1955. After age adjustment, total mortality rates from all neoplastic disorders were similar in the native-born and foreign-born populations, and differences between religious groups were not remarkable. Rates for the foreign-born and native-born for specific sites of malignant neoplasm showed relatively small differences. Data were not available to enable examination of cancer-mortality rates according to specific country of birth of the foreign-born. Most striking were the differences in rates of mortality from individual sites of neoplasm between the Jewish group and the Catholic and Protestant groups. Among males, cancers of the buccal cavity and pharynx, esophagus, gall-bladder, larynx, lung, prostate, skin (other than melanoma), and other male genitalia were appreciably less common in the Jewish group than in either of the other religious groups. In females, cancer of the cervix uteri showed the same pattern. Certain sites exhibited higher rates in the Jewish group. These included cancers of the large intestine, kidney, brain, and thyroid, and melanoma, reticulum-cell sarcoma, lymphosarcoma, Hodgkin's disease, other lymphoma, and leukemia. Cancer of the male breast and, among females, cancers of the liver and pancreas, were also more common among the Jewish group. With some minor modifications, these patterns according to religion were seen in both the native-born and foreign-born populations.

The distribution of cancer mortality in Ohio.

The distribution of cancer mortality in Ohio.