Colorectal cancer stage at diagnosis and area socioeconomic characteristics in New Jersey

County socioeconomic status and premature mortality from cancer in the United States

INTRODUCTION

There are consistent data demonstrating socioeconomic status (SES) is associated with cancer survivorship among older adults, but research on the relationship between area-level SES and risk of premature mortality from cancer remains not well understood. This study investigated the association between county-level SES and premature mortality from cancer.

METHODS

Demographic characteristics and causes of death were ascertained from the national death certificate data for years 2016-2020. Premature cancer death was defined as cancer mortality between ages 25-64. County SES was calculated using the Yost Index and categorized into distribution-based quintiles (1 =lowest SES, 5=highest SES). To calculate the mortality-adjusted rate ratios (aRR) and corresponding 95 % confidence intervals (95 %CI) for the associations between county SES and cancer, we performed multivariable linear mixed models, adjusting for confounders.

RESULTS

A total of 3143 counties were included. The age-adjusted mortality rates of all cancers combined were 107.6, 98.4, 88.6, 81.1, and 66.7 per 100,000 population for the 5 SES quintiles, respectively. Compared with high SES counties, low SES counties had a 58 % greater premature cancer mortality rate (aRRquintile 1 vs.5 =1.58, 95 %CI: 1.55-1.60). Similar associations were observed when stratified by sex, though risk was greatest among men ([aRRwomen=1.48, 95 %CI: 1.45-1.52]; [aRRmen=1.66, 95 %CI: 1.62-1.70]). Among leading cancer types, the association was greatest for lung cancer mortality for the lowest SES counties (aRR=2.03; 95 %CI: 1.98-2.08).

CONCLUSION

Our findings demonstrate that lower SES counties are at greater risk of premature mortality from cancer. Place-based interventions should target the socioeconomic environment across the cancer control continuum.

Geographically weighted accelerated failure time model for spatial survival data: application to ovarian cancer survival data in New Jersey

BACKGROUND

In large multiregional cohort studies, survival data is often collected at small geographical levels (such as counties) and aggregated at larger levels, leading to correlated patterns that are associated with location. Traditional studies typically analyze such data globally or locally by region, often neglecting the spatial information inherent in the data, which can introduce bias in effect estimates and potentially reduce statistical power.

METHOD

We propose a Geographically Weighted Accelerated Failure Time Model for spatial survival data to investigate spatial heterogeneity. We establish a weighting scheme and bandwidth selection based on quasi-likelihood information criteria. Theoretical properties of the proposed estimators are thoroughly examined. To demonstrate the efficacy of the model in various scenarios, we conduct a simulation study with different sample sizes and adherence to the proportional hazards assumption or not. Additionally, we apply the proposed method to analyze ovarian cancer survival data from the Surveillance, Epidemiology, and End Results cancer registry in the state of New Jersey.

RESULTS

Our simulation results indicate that the proposed model exhibits superior performance in terms of four measurements compared to existing methods, including the geographically weighted Cox model, when the proportional hazards assumption is violated. Furthermore, in scenarios where the sample size per location is 20-25, the simulation data failed to fit the local model, while our proposed model still demonstrates satisfactory performance. In the empirical study, we identify clear spatial variations in the effects of all three covariates.

CONCLUSION

Our proposed model offers a novel approach to exploring spatial heterogeneity of survival data compared to global and local models, providing an alternative to geographically weighted Cox regression when the proportional hazards assumption is not met. It addresses the issue of certain counties' survival data being unable to fit the model due to limited samples, particularly in the context of rare diseases.

Exploring miRNA Profiles in Colon Cancer: A Focus on miR101-3p, miR106a-5p, and miR326

Early diagnosis and prognosis of cancer progression through biomarker profiling are crucial in managing colon cancer patients. Our research aimed to investigate the expression of miR-101-3p, miR-106a-5p, and miR-326 in tumor and adjacent healthy tissues of colon cancer patients and determine their potential diagnostic utility. This study included 40 patients divided into four groups according to the TNM staging classification. MiRNA expression was analyzed using qRT-PCR. The results showed that miR-101-3p, miR-106a-5p, and miR-326 are overexpressed in adjacent healthy tissues but decrease in advanced cancer stages. MiR-106a-5p and miR-326 are strongly correlated with colon cancer severity. These findings suggest that miRNA profiling could be useful for early diagnosis and prognosis in colon cancer management.

Ethnic enclaves and colon cancer stage at diagnosis among New Jersey Hispanics

Ethnic enclaves are neighborhoods with high concentrations of individuals of the same ethnic origin. Researchers have hypothesized that residence in ethnic enclaves may contribute to cancer outcomes through detrimental or protective pathways. A limitation of previous work, however, is their cross-sectional approach whereby an individual's residence at the time of diagnosis was used to capture residence in an ethnic enclave at a single point in time. This study addresses this limitation by adopting a longitudinal approach to investigating the association between the duration of residence in an ethnic enclave and the colon cancer (CC) stage at diagnosis. Colon cancer incidence cases diagnosed between 2006 and 2014, for Hispanics aged 18 years and older from the New Jersey State Cancer Registry (NJSCR) were linked to residential histories obtained from a commercial database LexisNexis, Inc. We examined associations between residence in an enclave and stage at diagnosis using binary and multinomial logistic regression, adjusted for age, sex, primary payer, and marital status. Among the 1076 Hispanics diagnosed with invasive colon cancer in New Jersey from 2006 to 2014, 48.4% lived in a Hispanic enclave at the time of diagnosis. Over the ten years preceding CC diagnosis, 32.6% lived in an enclave for the entire period. We found that Hispanics living in an ethnic enclave at diagnosis had significantly lower odds of distant-stage CC than Hispanics not living in an enclave at the time of diagnosis. Additionally, we found a significant association between living in an enclave for an extended period (e.g., over ten years) and lower odds of being diagnosed with distant stage CC. Integrating residential histories opens research possibilities to examine how minorities' residential mobility and residence in enclaves affect cancer diagnosis over time.

Regional inequalities of tumour size at diagnosis in Germany: An ecological study in eight federal states

There is growing recognition of the importance of the residential environment for early detection of cancer. However, few studies have investigated area socioeconomic deprivation, social capital, and rurality in combination. Therefore, we aimed to estimate mutually adjusted associations of these characteristics with tumour size at diagnosis in Germany. We included incident cases of female breast cancer, colorectal cancer, malignant melanoma, uterine cancer, and male bladder cancer, collected by the cancer registries of eight German federal states between 2010 and 2014. Using information on T status, we defined an advanced tumour size for each cancer type. Sex-specific mutually adjusted associations of area socioeconomic deprivation, social capital, and rurality with advanced tumour size and variance partition coefficients were estimated in multilevel logistic regression. Missing data of the outcome were addressed by multiple imputation. Overall, 386,223 cases were included in this analysis. High area socioeconomic deprivation was associated with advanced tumour size at diagnosis of colorectal cancer and malignant melanoma. For malignant melanoma, low social capital was associated with an advanced tumour size among females and males, while a rural settlement structure was associated with advanced tumour size among males only. Since meaningful general contextual effects were found for malignant melanoma, our results underscore that the context of an area is an important predictor of melanoma tumour size. Secondary prevention programs for this cancer type should target areas with high area socioeconomic deprivation, low social capital, and a rural settlement structure in order to reach those most vulnerable.

Socioeconomic Inequality in Colorectal Cancer Stage at Diagnosis Time in Qazvin City during 2014-2016: Concentration Curve Approach

Background: The impact of socioeconomic status on cancer survival has already been proven. Early diagnosis of cancer is one of the main reason of this improved survival among high socioeconomic status (SES) people. High SES people are more likely to take part in cancer screening programs for several reason and it seems that diagnosis of cancer is earlier among these people. Despite growing evidence on inequal in cancer survival, diagnosis, and treatment over the past decades there is a lack of evidence on volume and direction of socioeconomic inequality regarding early diagnosis of cancer in Iran. Objectives: To assess socioeconomic inequality in colorectal cancer stage at diagnosis time in Qazvin city, Iran during 2014 - 2016. Methods: A cross-sectional study was conducted on 200 patients who were diagnosed with colorectal cancer (CRC) at the Vellayat hospital of the Qazvin city. The Principal Component Analysis (PCA) approach was used to combine household assets as a proxy of SES. Cancer staging information was extracted from the patient's medical records and then a pathology specialist performed cancer staging. Descriptive statistics and a multiple logistic regression model were used to illustrate an association between CRC late diagnosis and socioeconomic status adjusted for age, sex, and residence of the area. We applied the standardized Concentration Index as a measure of socioeconomic inequality in CRC late diagnosis. Results: The overall percentage of late CRC diagnosis was 40.5% (95% confidence interval (CI) 33.8, 47.5), which was slightly higher among women (47.1%, 95% CI 36.8, 57.6) than men (35.4%, 95% CI, 27.0, 44.7). Logistic regression results spotted an association between SES and the late diagnosis of CRC. In Iranian women, CRC tended to be diagnosed at more advanced stages among the third (Odds Ratio (OR) = 7.68), forth (Low) (OR = 17.86) and fifth (Lowest) (OR = 25.60) SES quintiles, while in men it was only significant for the fifth quintiles (OR = 4.17). Furthermore, the concentration index implied that late CRC diagnosis is concentrated among deprived subgroups in Qazvin city, and it was statistically significant (Overall concentration index = -0.33, 95% CI -0.38, -0.28). It was estimated at -0.35 and -0.29 in Iranian women and men, respectively. Conclusions: According to this survey, CRC tends to be diagnosed at more advanced stages among low socioeconomic status groups, and the observed discrimination is more severe in Iranian women.

Comorbid chronic diseases and cancer diagnosis: disease-specific effects and underlying mechanisms

An earlier diagnosis is a key strategy for improving the outcomes of patients with cancer. However, achieving this goal can be challenging, particularly for the growing number of people with one or more chronic conditions (comorbidity/multimorbidity) at the time of diagnosis. Pre-existing chronic diseases might affect patient participation in cancer screening, help-seeking for new and/or changing symptoms and clinicians' decision-making on the use of diagnostic investigations. Evidence suggests, for example, that pre-existing pulmonary, cardiovascular, neurological and psychiatric conditions are all associated with a more advanced stage of cancer at diagnosis. By contrast, hypertension and certain gastrointestinal and musculoskeletal conditions might be associated with a more timely diagnosis. In this Review, we propose a comprehensive framework that encompasses the effects of disease-specific, patient-related and health-care-related factors on the diagnosis of cancer in individuals with pre-existing chronic illnesses. Several previously postulated aetiological mechanisms (including alternative explanations, competing demands and surveillance effects) are integrated with newly identified mechanisms, such as false reassurances, or patient concerns about appearing to be a hypochondriac. By considering specific effects of chronic diseases on diagnostic processes and outcomes, tailored early diagnosis initiatives can be developed to improve the outcomes of the large proportion of patients with cancer who have pre-existing chronic conditions.

Investigating Factors Associated with FOBT Screening for Colorectal Cancer Based on the Components of Health Belief Model and Social Support

Introduction: This study aimed to investigate the factors associated with FOBT screening for colorectal cancer based on the components of Health Belief Model and social support in Fasa City, Fars Province, Iran. Materials and Methods: This was a cross-sectional study carried out on 240 subjects in people of Fasa city who had 50 years old and above. The subjects in this study were assigned to two groups of 120 patients. The first group included people over 50 years, who referred to the diagnostic laboratories for doing FOBT, but the second group included people aged 50 years and above who did not refer to a laboratory for doing FOBT and were assessed by questionnaires at home. Data were collected through a questionnaire based on health belief model and perceived social support. Results: The referring group included 61.3 percent women and 38.7 percent men, with a mean age of 65.24 ± 8.01. The non-referring group included 59.7 percent women and 40.3 percent men, with a mean age of 64.21 ±7.53 (p=0.24). In the referring group, 64.2 percent had undergone FOBT in the past year, while in the non-referring group only 12.72percent had done so (p=0.001).The results showed that the referring group obtained higher scores on awareness about CRC and ways to prevent it, and on HBM Model constructs, and social support compared to the non-referring group (p<0.001). In addition, the referring group reported significantly lower Perceived Barriers compared to the non-referring group (p<0.001). Conclusion: The results showed significant differences between the two groups in terms of HBM components and perceived social support for doing FOBT. Therefore, theory-based educational interventions can be used to increase individuals’ Perceived Severity, Perceived Susceptibility, and Perceived Benefits and reduce their Perceived Barriers in order to empower and encourage people to perform FOBT.

Factors associated with late stage at diagnosis among Puerto Rico's government health plan colorectal cancer patients: a cross-sectional study

Background

Late stage at diagnosis of cancer is considered a key predictor factor for a lower survival rate. Knowing and understanding the barriers to an early diagnosis of colorectal cancer is critical in the fight to reduce the social and economic burden caused by cancer in Puerto Rico. This study evaluates factors associated to colorectal cancer stage at diagnosis among Puerto Rico’s Government Health Plan (GHP) patients.

Methods

We conducted a cross-sectional study based on a secondary data analysis using information from the Puerto Rico Central Cancer Registry (PRCCR) and the Puerto Rico Health Insurance Administration (PRHIA). Logistic regression models were used to estimate the unadjusted odds ratio (ORs) and adjusted odds ratio (AORs), and their 95 % confidence intervals (CIs). Colorectal cancer cases diagnosed between January 1, 2012 and December 31, 2012, among persons 50 to 64 years of age, participants of the GHP and with a cancer diagnosis reported to the PRCCR were included in the study.

Results

There were 68 (35.79 %) colorectal cancer patients diagnosed at early stage while 122 (64.21 %) where diagnosed at late stage. In the multivariate analysis having a diagnostic delay of more than 59 days (AOR 2.94, 95 % CI: 1.32 to 6.52) and having the first visit through the emergency room (AOR 3.48, 95 % CI: 1.60 to 7.60) were strong predictors of being diagnosed with colorectal cancer at a late stage.

Conclusions

These results are relevant to understand the factors that influence the outcomes of colorectal cancer patients in the GHP. Therefore, it is important to continue developing studies to understand the Government Health Plan patient’s pathways to a cancer diagnosis, in order to promote assertive decisions to improve patient outcomes.

Disparity in Breast Cancer Late Stage at Diagnosis in Missouri: Does Rural Versus Urban Residence Matter?

INTRODUCTION

Despite the fact that black women have a lower incidence of breast cancer compared to white women, black women experience higher death rates than any other group. We examined the stage of breast cancer presentation by race and geographic region using population-based breast cancer incidence in all 115 counties in the state of Missouri.

METHODS

We used 2003-2008 breast cancer incidence data from Missouri Cancer Registry and Research Center. County of residence was categorized as urban or rural using the rural-urban continuum code. We computed the conditional proportion of stage at diagnosis by race and metropolitan status and also used Pearson's chi-squared test with Yates' continuity correction to determine statistical significance of association.

RESULTS

Results of the study indicate that a greater proportion of black women (38.8 %) compared to white women (30.2 %) were diagnosed with more advanced breast metastasis. Our results further suggest that stage at diagnosis depended on county of residence or metropolitan status (p = .04). Women living in non-metropolitan counties were slightly more likely to have late-stage breast cancer than their metropolitan counterparts (32.0 vs 30.7 %). Overall, black women had 1.5-fold increased odds of late-stage breast cancer diagnosis compared to their white counterparts (OR = 1.50; 95 % CI, 1.39, 1.63; p < 0.0001). While the odds of late diagnosis among women living in non-metropolitan or rural counties was over 11 % higher compared with their metropolitan or urban counterpart.

CONCLUSION

The current study corroborates previous findings that the risk of late-stage breast cancer diagnosis was higher among women residing in non-metropolitan rural counties.

Associations of census-tract poverty with subsite-specific colorectal cancer incidence rates and stage of disease at diagnosis in the United States

Background. It remains unclear whether neighborhood poverty contributes to differences in subsite-specific colorectal cancer (CRC) incidence. We examined associations between census-tract poverty and CRC incidence and stage by anatomic subsite and race/ethnicity. Methods. CRC cases diagnosed between 2005 and 2009 from 15 states and Los Angeles County (N = 278,097) were assigned to 1 of 4 groups based on census-tract poverty. Age-adjusted and stage-specific CRC incidence rates (IRs) and incidence rate ratios (IRRs) were calculated. Analyses were stratified by subsite (proximal, distal, and rectum), sex, race/ethnicity, and poverty. Results. Compared to the lowest poverty areas, CRC IRs were significantly higher in the most impoverished areas for men (IRR = 1.14 95% CI 1.12-1.17) and women (IRR = 1.06 95% CI 1.05-1.08). Rate differences between high and low poverty were strongest for distal colon (male IRR = 1.24 95% CI 1.20-1.28; female IRR = 1.14 95% CI 1.10-1.18) and weakest for proximal colon. These rate differences were significant for non-Hispanic whites and blacks and for Asian/Pacific Islander men. Inverse associations between poverty and IRs of all CRC and proximal colon were found for Hispanics. Late-to-early stage CRC IRRs increased monotonically with increasing poverty for all race/ethnicity groups. Conclusion. There are differences in subsite-specific CRC incidence by poverty, but associations were moderated by race/ethnicity.

Applying spatial analysis tools in public health: an example using SaTScan to detect geographic targets for colorectal cancer screening interventions

Epidemiologists are gradually incorporating spatial analysis into health-related research as geocoded cases of disease become widely available and health-focused geospatial computer applications are developed. One health-focused application of spatial analysis is cluster detection. Using cluster detection to identify geographic areas with high-risk populations and then screening those populations for disease can improve cancer control. SaTScan is a free cluster-detection software application used by epidemiologists around the world to describe spatial clusters of infectious and chronic disease, as well as disease vectors and risk factors. The objectives of this article are to describe how spatial analysis can be used in cancer control to detect geographic areas in need of colorectal cancer screening intervention, identify issues commonly encountered by SaTScan users, detail how to select the appropriate methods for using SaTScan, and explain how method selection can affect results. As an example, we used various methods to detect areas in Florida where the population is at high risk for late-stage diagnosis of colorectal cancer. We found that much of our analysis was underpowered and that no single method detected all clusters of statistical or public health significance. However, all methods detected 1 area as high risk; this area is potentially a priority area for a screening intervention. Cluster detection can be incorporated into routine public health operations, but the challenge is to identify areas in which the burden of disease can be alleviated through public health intervention. Reliance on SaTScan’s default settings does not always produce pertinent results.

Social Determinants Associated with Colorectal Cancer Screening in an Urban Community Sample of African-American Men

Background

African-American men are disproportionately burdened with colorectal cancer (CRC). Research is scarce on the social determinants that may influence CRC screening as the primary strategy for early detection among African-American males.

Methods

African-American men over the age of 18 years (n = 558) were recruited from a community health fair and anonymously surveyed about their health and cancer screening behaviors. A social ecological theoretical framework was utilized to identify intrapersonal, interpersonal, organizational, and community predictors of CRC screening, which may be associated with social determinants of health and health behaviors. Analysis included correlations and logistic regression.

Results

The mean age of participants was 54.3 years with 85.8% of men being over 40 years of age. Regarding CRC screening: 50.5% (n = 282) of African-American male participants had received any type of CRC screening at any time. Positive predictors of CRC screening included: health insurance status, older age, having spoken with a health provider about family cancer risk, and having a regular doctor. However, employment status and poor self-rated health were negative predictors of the outcome.

Conclusions

Social determinants of health, such as healthcare access and interactions with health systems, along with employment play a critical role in facilitating CRC screening completion in high-risk underserved populations such as African-American men.

Predictors of neighborhood risk for late-stage melanoma: addressing disparities through spatial analysis and area-based measures

Minority populations have disproportionately more advanced stage melanoma and worse survival. To clarify the impact of race and ethnicity on late-stage melanoma diagnosis, we performed spatial analysis of geocoded melanoma cases diagnosed in Florida, 1999-2008, to identify geographic clusters of higher-than-expected incidence of late-stage melanoma and developed predictive models for melanoma cases in high-risk neighborhoods accounting for area-based poverty, race/ethnicity, patient insurance status, age, and gender. In the adjusted model, Hispanic ethnicity and census tract-level poverty are the strongest predictors for clustering of late-stage melanoma. Hispanic whites were 43% more likely to live in neighborhoods with excessive late-stage melanoma (P<0.001) compared with non-Hispanic whites (NHW). For every 1% increase in population living in poverty, there is a 2% increase in late-stage melanoma clustering (P<0.001). Census tract-level poverty predicted late-stage melanoma similarly among NHW and Hispanic whites. The impact of insurance coverage varied among populations; the most consistent trend was that Medicaid coverage is associated with higher odds for late-stage melanoma. The finding that Hispanics are most likely to reside in high-risk neighborhoods, independent of poverty and insurance status, underscores the importance of addressing, and overcoming community-level barriers to melanoma care.

Breast cancer stage at diagnosis and area-based socioeconomic status: a multicenter 10-year retrospective clinical epidemiological study in China

Background

Although socioeconomic status (SES) has been focused on as a key determinant of cancer stage at diagosis in western countries, there has been no systemic study on the relationship of SES and breast cancer stage at diagnosis in China.

Methods

The medical charts of 4,211 eligible breast cancer patients from 7 areas across China who were diagnosed between 1999 and 2008 were reviewed. Four area-based socioeconomic indicators were used to calculate area-based SES by cluster analysis. The associations between area-based SES and stage at diagnosis were analyzed by trend chi-square tests. Binary logistic regression was performed to estimate odds ratios for individual demographic characteristics' effects on cancer stages, stratified by area-based SES.

Results

The individual demographic and pathologic characteristics of breast cancer cases were significantly different among the seven areas studied. More breast cancer cases in low SES areas (25.5%) were diagnosed later (stages III & IV) than those in high (20.4%) or highest (14.8%) SES areas (χ² for trend = 80.79, P < 0.001). When area-based SES is controlled for, in high SES areas, cases with less education were more likely to be diagnosed at later stages compared with more educated cases. In low SES areas, working women appeared to be diagnosed at earlier breast cancer stages than were homemakers (OR: 0.18-0.26).

Conclusions

In China, women in low SES areas are more likely to be diagnosed at later breast cancer stages than those in high SES areas.

Impact of comorbidity and healthcare utilization on colorectal cancer stage at diagnosis: literature review

PURPOSE

Individuals diagnosed with cancer close to death have low access to enrollment in palliative care programs. The purpose of this literature review was to assess the usefulness of pre-diagnostic comorbidity and healthcare utilization as indicators of late-stage colorectal cancer (CRC) diagnosis, to help with early identification of individuals who may benefit from palliative care.

METHODS

A literature search was conducted in relevant databases using title/abstract terms which included "cancer," "stage," "diagnosis," "determinants," "predictors," and "associated." Included studies examined whether comorbidity and/or healthcare utilization had an impact on the stage at which CRC was diagnosed. A standardized data abstraction form was used to assess the eligibility of each study. Thirteen articles were included in the literature review. These studies were assessed and synthesized using qualitative methodology.

RESULTS

We found much heterogeneity among study variables. The findings of this literature review point to the presence of comorbidity and non-emergent healthcare utilization as having no association with late-stage diagnosis. Conversely, emergency room presentation (ERP) was associated with late-stage diagnosis.

CONCLUSIONS

The results of this literature review did not find strong evidence to suggest that comorbidity and healthcare utilization are potential indicators of late-stage diagnosis. However, ERP may be useful as a flag for consideration of prompt referral to palliative care. Additional research is required to identify potential indicators of late-stage diagnosis that may be available in administrative databases, particularly in the area of healthcare utilization.

Geographic remoteness and risk of advanced colorectal cancer at diagnosis in Queensland: a multilevel study

Background:

We examine the relationships between geographic remoteness, area disadvantage and risk of advanced colorectal cancer.

Methods:

Multilevel models were used to assess the area- and individual-level contributions to the risk of advanced disease among people aged 20–79 years diagnosed with colorectal cancer in Queensland, Australia between 1997 and 2007 (n=18 561).

Results:

Multilevel analysis showed that colorectal cancer patients living in inner regional (OR=1.09, 1.01–1.19) and outer regional (OR=1.11, 1.01–1.22) areas were significantly more likely to be diagnosed with advanced cancer than those in major cities (P=0.045) after adjusting for individual-level variables. The best-fitting final model did not include area disadvantage. Stratified analysis suggested this remoteness effect was limited to people diagnosed with colon cancer (P=0.048) and not significant for rectal cancer patients (P=0.873).

Conclusion:

Given the relationship between stage and survival outcomes, it is imperative that the reasons for these rurality inequities in advanced disease be identified and addressed.

An eight-year snapshot of geospatial cancer research (2002-2009): clinico-epidemiological and methodological findings and trends

Geographic information systems (GIS) offer a very rich toolbox of methods and technologies, and powerful research tools that extend far beyond the mere production of maps, making it possible to cross-link and study the complex interaction of disease data and factors originating from a wide range of disparate sources. Despite their potential indispensable role in cancer prevention and control programmes, GIS are underrepresented in specialised oncology literature. The latter has provided an impetus for the current review. The review provides an eight-year snapshot of geospatial cancer research in peer-reviewed literature (2002-2009), presenting the clinico-epidemiological and methodological findings and trends in the covered corpus (93 papers). The authors concluded that understanding the relationship between location and cancer/cancer care services can play a crucial role in disease control and prevention, and in better service planning, and appropriate resource utilisation. Nevertheless, there are still barriers that hinder the wide-scale adoption of GIS and related technologies in everyday oncology practice.

Breast cancer care in the Canada and the United States: ecological comparisons of extremely impoverished and affluent urban neighborhoods

This study examined the differential effect of extreme impoverishment on breast cancer care in urban Canada and the United States. Ontario and California registry-based samples diagnosed between 1998 and 2000 were followed until 2006. Extremely poor and affluent neighborhoods were compared. Poverty was associated with non-localized disease, surgical and radiation therapy (RT) waits, non-receipt of breast conserving surgery, RT and hormonal therapy, and shorter survival in California, but not in Ontario. Extremely poor Ontario women were consistently advantaged on care indices over their California counterparts. More inclusive health insurance coverage in Canada seems the most plausible explanation for such Canadian breast cancer care advantages.

Geographic disparities in colorectal cancer survival

BACKGROUND

Examining geographic variation in cancer patient survival can help identify important prognostic factors that are linked by geography and generate hypotheses about the underlying causes of survival disparities. In this study, we apply a recently developed spatial scan statistic method, designed for time-to-event data, to determine whether colorectal cancer (CRC) patient survival varies by place of residence after adjusting survival times for several prognostic factors.

METHODS

Using data from a population-based, statewide cancer registry, we examined a cohort of 25,040 men and women from New Jersey who were newly diagnosed with local or regional stage colorectal cancer from 1996 through 2003 and followed to the end of 2006. Survival times were adjusted for significant prognostic factors (sex, age, stage at diagnosis, race/ethnicity and census tract socioeconomic deprivation) and evaluated using a spatial scan statistic to identify places where CRC survival was significantly longer or shorter than the statewide experience.

RESULTS

Age, sex and stage adjusted survival times revealed several areas in the northern part of the state where CRC survival was significantly different than expected. The shortest and longest survival areas had an adjusted 5-year survival rate of 73.1% (95% CI 71.5, 74.9) and 88.3% (95% CI 85.4, 91.3) respectively, compared with the state average of 80.0% (95% CI 79.4, 80.5). Analysis of survival times adjusted for age, sex and stage as well as race/ethnicity and area socioeconomic deprivation attenuated the risk of death from CRC in several areas, but survival disparities persisted.

CONCLUSION

The results suggest that in areas where additional adjustments for race/ethnicity and area socioeconomic deprivation changed the geographic survival patterns and reduced the risk of death from CRC, the adjustment factors may be contributing causes of the disparities. Further studies should focus on specific and modifiable individual and neighborhood factors in the high risk areas that may affect a person's chance of surviving cancer.