Genetics, epidemiology, and cancer disparities: is it black and white?

Comprehensive genomic profiling and treatment patterns across ancestries in advanced prostate cancer: a large-scale retrospective analysis

BACKGROUND

Men of African ancestry experience the greatest burden of prostate cancer globally, but they are under-represented in genomic and precision medicine studies. Therefore, we sought to characterise the genomic landscape, comprehensive genomic profiling (CGP) utilisation patterns, and treatment patterns across ancestries in a large, diverse, advanced prostate cancer cohort, to determine the impact of genomics on ancestral disparities.

METHODS

In this large-scale retrospective analysis, the CGP-based genomic landscape was evaluated in biopsy sections from 11 741 patients with prostate cancer, with ancestry inferred using a single nucleotide polymorphism-based approach. Admixture-derived ancestry fractions for each patient were also interrogated. Independently, clinical and treatment information was retrospectively reviewed for 1234 patients in a de-identified US-based clinicogenomic database. Prevalence of gene alterations, including actionable gene alterations, was assessed across ancestries (n=11 741). Furthermore, real-world treatment patterns and overall survival was assessed in the subset of patients with linked clincogenomic information (n=1234).

FINDINGS

The CGP cohort included 1422 (12%) men of African ancestry and 9244 (79%) men of European ancestry; the clinicogenomic database cohort included 130 (11%) men of African ancestry and 1017 (82%) men of European ancestry. Men of African ancestry received more lines of therapy before CGP than men of European ancestry (median of two lines [IQR 0-8] vs one line [0-10], p=0·029). In genomic analyses, ancestry-specific mutational landscapes were observed, but the prevalence of alterations in AR, the DNA damage response pathway, and other actionable genes were similar across ancestries. Similar genomic landscapes were observed in analyses that accounted for admixture-derived ancestry fractions. After undergoing CGP, men of African ancestry were less likely to receive a clinical study drug compared with men of European ancestry (12 [10%] of 118 vs 246 [26%] of 938, p=0·0005).

INTERPRETATION

Similar rates of gene alterations with therapy implications suggest that differences in actionable genes (including AR and DNA damage response pathway genes) might not be a main driver of disparities across ancestries in advanced prostate cancer. Later CGP utilisation and a lower rate of clinical trial enrolment observed in men of African ancestry could affect genomics, outcomes, and disparities.

FUNDING

American Society for Radiation Oncology, Department of Defense, Flatiron Health, Foundation Medicine, Prostate Cancer Foundation, and Sylvester Comprehensive Cancer Center.

Factors Associated With Survival Disparities Between Non-Hispanic Black and White Patients With Uterine Cancer

Importance

Disparities in survival exist between non-Hispanic Black (hereafter, Black) and non-Hispanic White (hereafter, White) patients with uterine cancer.

Objective

To investigate factors associated with racial disparities in survival between Black and White patients with uterine cancer.

Design, Setting, and Patients

This cohort study used data from the National Cancer Database on 274 838 Black and White patients who received a diagnosis of uterine cancer from January 1, 2004, to December 31, 2017, with follow-up through December 2020. Statistical analysis was performed in July 2022.

Main Outcomes and Measures

Overall survival by self-reported race and evaluation of explanatory study factors associated with hazard ratio (HR) reduction for Black vs White patients. A propensity scoring approach was applied sequentially to balance racial differences in demographic characteristics, comorbidity score, neighborhood income, insurance status, histologic subtype, disease stage, and treatment.

Results

The study included 32 230 Black female patients (mean [SD] age at diagnosis, 63.8 [10.0] years) and 242 608 White female patients (mean [SD] age at diagnosis, 63.5 [10.5] years) and had a median follow-up of 74.0 months (range, 43.5-113.8 months). Black patients were more likely than White patients to have low income (44.1% vs 14.0%), be uninsured (5.7% vs 2.6%), present with nonendometrioid histologic characteristics (46.1% vs 21.6%), have an advanced disease stage (34.1% vs 19.8%), receive first-line chemotherapy (33.8% vs 18.2%), and have worse 5-year survival (58.6% vs 78.5%). Among patients who received a diagnosis at younger than 65 years of age, the HR for death for Black vs White patients was 2.43 (95% CI, 2.34-2.52) in a baseline demographic-adjusted model and 1.29 (95% CI, 1.23-1.35) after balancing other factors. Comorbidity score, neighborhood income, insurance status, histologic subtype, disease stage, treatment, and unexplained factors accounted for 0.8%, 7.2%, 11.5%, 53.1%, 5.8%, 1.2%, and 20.4%, respectively, of the excess relative risk (ERR) among the younger Black vs White patients. Among patients 65 years or older, the HR for death for Black vs White patients was 1.87 (95% CI, 1.81-1.93) in the baseline model and 1.14 (95% CI, 1.09-1.19) after balancing other factors. Comorbidity score, neighborhood income, insurance status, histologic subtype, disease stage, treatment, and unexplained factors accounted for 3.0%, 7.5%, 0.0%, 56.2%, 10.6%, 6.9%, and 15.8%, respectively, of the ERR among Black vs White patients aged 65 years or older.

Conclusions and Relevance

This study suggests that histologic subtype was the dominant factor associated with racial survival disparity among patients with uterine cancer, while insurance status represented the main modifiable factor for women younger than 65 years. Additional studies of interactions between biology and social determinants of health are merited.

Analysis of evolutionary dynamics and clonal architecture in prostate cancer

The extent to which clinical and genomic characteristics associate with prostate cancer clonal architecture, tumor evolution, and therapeutic response remains unclear. Here, we reconstructed the clonal architecture and evolutionary trajectories of 845 prostate cancer tumors with harmonized clinical and molecular data. We observed that tumors from patients who self-reported as Black had more linear and monoclonal architectures, despite these men having higher rates of biochemical recurrence. This finding contrasts with prior observations relating polyclonal architecture to adverse clinical outcomes. Additionally, we utilized a novel approach to mutational signature analysis that leverages clonal architecture to uncover additional cases of homologous recombination and mismatch repair deficiency in primary and metastatic tumors and link the origin of mutational signatures to specific subclones. Broadly, prostate cancer clonal architecture analysis reveals novel biological insights that may be immediately clinically actionable and provide multiple opportunities for subsequent investigation.

Statement of significance

Tumors from patients who self-reported as Black demonstrate linear and monoclonal evolutionary trajectories yet experience higher rates of biochemical recurrence. In addition, analysis of clonal and subclonal mutational signatures identifies additional tumors with potentially actionable alterations such as deficiencies in mismatch repair and homologous recombination.

Relative impact of genetic ancestry and neighborhood socioeconomic status on all-cause mortality in self-identified African Americans

Self-identified race/ethnicity is a correlate of both genetic ancestry and socioeconomic factors, both of which may contribute to racial disparities in mortality. Investigators often hold a priori assumptions, rarely made explicit, regarding the relative importance of these factors. We studied 2,239 self-identified African Americans (SIAA) from the Prostate, Lung, Colorectal and Ovarian screening trial enrolled from 1993–1998 and followed prospectively until 2019 or until death, whichever came first. Percent African genetic ancestry was estimated using the GRAF-Pop distance-based method. A neighborhood socioeconomic status (nSES) index was estimated using census tract measures of income, housing, and employment and linked to participant residence in 2012. We used Directed Acyclic Graphs (DAGs) to represent causal models favoring (1) biomedical and (2) social causes of mortality. Hazard ratios were estimated using Cox models adjusted for sociodemographic, behavioral, and neighborhood covariates guided by each DAG. 901 deaths occurred over 40,767 person-years of follow-up. In unadjusted (biomedical) models, a 10% increase in percent African ancestry was associated with a 7% higher rate of all-cause mortality (HR: 1.07, 95% CI: 1.02, 1.12). This effect was attenuated in covariate adjusted (social) models (aHR: 1.01, 95% CI: 0.96, 1.06). Mortality was lower comparing participants in the highest to lowest nSES quintile following adjustment for covariates and ancestry (aHR: 0.74, 95% CI: 0.57, 0.98, Ptrend = 0.017). Higher African ancestry and lower nSES were associated with higher mortality, but African ancestry was not associated with mortality following covariate adjustment. Socioeconomic factors may be more important drivers of mortality in African Americans.

Trends in mortality among Black and White men with prostate cancer in Massachusetts and Pennsylvania: Race and neighborhood socioeconomic position

BACKGROUND

Reducing disparities in men with prostate cancer (PCa) that may be caused by racial and socioeconomic differences is a major public health priority. Few reports have studied whether these disparities have changed over time.

METHODS

Men diagnosed with PCa from January 1, 2000 to December 31, 2015 were identified from the Massachusetts and Pennsylvania cancer registries. All-cause mortality and PCa and cardiovascular cause-specific mortality were assessed. To estimate neighborhood socioeconomic position (nSEP), a summary score was generated using census tract-level measures of income, wealth, educational attainment, and racial and income segregation. Participants were grouped by diagnosis year (2000-2003, 2004-2007, 2008-2011, or 2012-2015), and changing trends in the mortality rate ratio by race and nSEP were estimated using covariate-adjusted Cox models with follow-up for up to 10 years, until death, or until censoring on January 1, 2018.

RESULTS

There were 193,883 patients with PCa and 43,661 deaths over 1,404,131 person-years of follow-up. The Black-White adjusted hazard ratio (aHR) from 2000 to 2003 through 2012 to 2015 was stable for all-cause mortality (aHR, 1.14 to 0.97; P for heterogeneity = .42), decreased for PCa-specific mortality (aHR, 1.38 to 0.93; P for heterogeneity = .005), and increased for cardiovascular mortality (aHR, 1.09 to 1.28; P for heterogeneity = .034). The aHR comparing those in the lowest versus the highest nSEP quintile increased significantly for all-cause mortality (aHR, 1.54 to 1.79; P for heterogeneity = .008), but not for PCa-specific mortality (aHR, 1.60 to 1.72; P for heterogeneity = .40) or cardiovascular mortality (aHR, 1.72 to 1.89; P for heterogeneity = .085).

CONCLUSIONS

Although Black-White disparities in prostate mortality declined in Massachusetts and Pennsylvania over the study period, nSEP mortality disparity trends were stagnant or increased, warranting further attention.

LAY SUMMARY

Few reports have examined whether racial and socioeconomic disparities in prostate cancer mortality have widened or narrowed in recent years. Using data from 2 state registries (Massachusetts and Pennsylvania) with differing intensities of government-mandated health insurance, trends in racial and neighborhood socioeconomic disparities were studied among Black and White men diagnosed from 2000 to 2015. Overall, trends in racial disparities were stagnant for all-cause mortality, shrank for prostate mortality, and widened for cardiovascular mortality. Disparities associated with neighborhood socioeconomic status either were stagnant or widened across all mortality end points. In general, disparities were more pronounced in Pennsylvania than in Massachusetts.

Reactions to Recommendations and Evidence About Prostate Cancer Screening Among White and Black Male Veterans

U.S. clinical guidelines recommend that prior to screening for prostate cancer with Prostate Specific Antigen (PSA), men should have an informed discussion about the potential benefits and harms of screening. Prostate cancer disproportionately affects Black men. To understand how White and Black men reacted to a draft educational pamphlet about the benefits and harms of PSA screening, we conducted race-specific focus groups at a midwestern VA medical center in 2013 and 2015. White and Black men who had been previously screened reviewed the draft pamphlet using a semistructured focus group facilitator guide. Forty-four men, ages 55-81, participated in four White and two Black focus groups. Three universal themes were: low baseline familiarity with prostate cancer, surprise and resistance to the recommendations not to test routinely, and negative emotions in response to ambiguity. Discussions of benefits and harms of screening, as well as intentions for exercising personal agency in prevention and screening, diverged between White and Black focus groups. Discussion in White groups highlighted the potential benefits of screening, minimized the harms, and emphasized personal choice in screening decisions. Participants in Black groups devoted almost no discussion to benefits, considered harms significant, and emphasized personal and collective responsibility for preventing cancer through diet, exercise, and alternative medicine. Discussion in Black groups also included the role of racism and discrimination in healthcare and medical research. These findings contribute to our understanding of how men's varied perspectives and life experiences affect their responses to prostate cancer screening information.

Population-based genetic testing for Women's cancer prevention

Germline mutations in cancer-susceptibility-genes (CSG) can dramatically increase womens' lifetime risk of ovarian, endometrial, breast and bowel cancers. Identification of unaffected carriers is important to enable proactive engagement with highly effective screening and preventive options to minimise cancer risk. Currently, a family-history model is used to identify individuals with CSGs. Complex regional referral guidelines specify the family-history criteria required before an individual is eligible for genetic-testing. This model is ineffective, resource intense, misses >50% CSG carriers, is associated with underutilisation of genetic-testing services and delays detection of mutation carriers. Although awareness and detection of CSG-carriers has improved, over 97% carriers remain unidentified. This reflects significant missed opportunities for precision-prevention. Population-based genetic-testing (PBGT) represents a novel healthcare strategy with the potential to dramatically improve detection of unaffected CSG-carriers along with enabling population risk-stratification for cancer precision-prevention. Several research studies have assessed the impact, feasibility, acceptability, long-term psychological outcomes and cost-effectiveness of population-based BRCA-testing in the Ashkenazi-Jewish population. Initial data on PBGT in the general-population is beginning to emerge and large implementation studies investigating PBGT in the general-population are needed. This review will summarise the current research into the clinical, psycho-social, health-economic, societal and ethical consequences of a PBGT model for women's cancer precision-prevention.

A Multi-Task Framework for Facial Attributes Classification through End-to-End Face Parsing and Deep Convolutional Neural Networks

Human face image analysis is an active research area within computer vision. In this paper we propose a framework for face image analysis, addressing three challenging problems of race, age, and gender recognition through face parsing. We manually labeled face images for training an end-to-end face parsing model through Deep Convolutional Neural Networks. The deep learning-based segmentation model parses a face image into seven dense classes. We use the probabilistic classification method and created probability maps for each face class. The probability maps are used as feature descriptors. We trained another Convolutional Neural Network model by extracting features from probability maps of the corresponding class for each demographic task (race, age, and gender). We perform extensive experiments on state-of-the-art datasets and obtained much better results as compared to previous results.

Prostate Cancer Disparities by Race and Ethnicity: From Nucleotide to Neighborhood

Prostate cancer (CaP) incidence, morbidity, and mortality rates vary substantially by race and ethnicity, with African American men experiencing among the highest CaP rates in the world. The causes of these disparities are multifactorial and complex, and likely involve differences in access to screening and treatment, exposure to CaP risk factors, variation in genomic susceptibility, and other biological factors. To date, the proportion of CaP that can be explained by environmental exposures is small and differences in the role factors play by race or ethnicity is poorly understood. In the absence of additional data, it is likely that environmental factors do not contribute greatly to CaP disparities. In contrast, CaP has one of the highest heritabilities of all major cancers and many CaP susceptibility genes have been identified. Some CaP loci, including the risk loci found at chromosome 8q24, have consistent effects in all racial/ethnic groups studied to date. However, replication of many susceptibility loci across race or ethnicity remains limited. It is likely that inequities in health care access strongly influences CaP disparities. CaP is a disease with a complex multifactorial etiology, and therefore any approach attempting to address racial/ethnic disparities in CaP must consider the many sources that influence risk, outcomes, and disparities.

Future cancer research priorities in the USA: a Lancet Oncology Commission

We are in the midst of a technological revolution that is providing new insights into human biology and cancer. In this era of big data, we are amassing large amounts of information that is transforming how we approach cancer treatment and prevention. Enactment of the Cancer Moonshot within the 21st Century Cures Act in the USA arrived at a propitious moment in the advancement of knowledge, providing nearly US$2 billion of funding for cancer research and precision medicine. In 2016, the Blue Ribbon Panel (BRP) set out a roadmap of recommendations designed to exploit new advances in cancer diagnosis, prevention, and treatment. Those recommendations provided a high-level view of how to accelerate the conversion of new scientific discoveries into effective treatments and prevention for cancer. The US National Cancer Institute is already implementing some of those recommendations. As experts in the priority areas identified by the BRP, we bolster those recommendations to implement this important scientific roadmap. In this Commission, we examine the BRP recommendations in greater detail and expand the discussion to include additional priority areas, including surgical oncology, radiation oncology, imaging, health systems and health disparities, regulation and financing, population science, and oncopolicy. We prioritise areas of research in the USA that we believe would accelerate efforts to benefit patients with cancer. Finally, we hope the recommendations in this report will facilitate new international collaborations to further enhance global efforts in cancer control.

Racial and Ethnic Disparities in the Pediatric Hodgkin Lymphoma Population

BACKGROUND

Little is known about the association between race/ethnicity and survival in pediatric Hodgkin lymphoma (HL) patients. In a state-wide pediatric cohort diagnosed with HL, we assessed demographic, disease, and treatment characteristics associated with overall survival (OS). We then attempted to validate these findings and assess disease-specific survival (DSS) in a national Surveillance, Epidemiology, and End Results (SEER) cohort.

PROCEDURE

HL patients of 0.1-21 years diagnosed from 1981 to 2010 were evaluated using the Florida Cancer Data System (FCDS). Kaplan-Meier curves estimated OS from 5 to 25 years based on race/ethnicity, treatment, decade of diagnosis, and sex. Multivariate Cox proportional hazard regressions tested independent factors associated with differences in OS. These methods were replicated in the SEER with additional assessment of DSS.

RESULTS

A total of 1,778 patients were identified in the FCDS and 6,027 in the SEER. Median diagnosis age was 17 years in both cohorts. In the FCDS, Blacks had worse OS than Whites and Hispanics at 25 years (33% vs. 49.2% vs. 44.7%, respectively; P = 0.0005), and Black race was associated with inferior OS on multivariate regression (hazard ratio [HR]: 1.81, P = 0.0003). In the SEER, Blacks had inferior OS (Blacks 74.2% vs. Whites 82% vs. Hispanics 82%; P = 0.0005) and DSS (85.7% vs. 90.8% vs. 88.1%, respectively; P = 0.0002) at 25 years. Hispanic males had inferior DSS compared to White males (84.8% vs. 90.6%; P = 0.0478), and Hispanic race was a predictor for inferior DSS on multivariate analysis (HR: 1.238; P < 0.0001).

CONCLUSIONS

Racial/ethnic disparities persist in the pediatric HL population despite modern treatment; underlying causes of these disparities are complex and need further examination.

Novel Biomarker Signature That May Predict Aggressive Disease in African American Men With Prostate Cancer

PURPOSE

We studied the ethnicity-specific expression of prostate cancer (PC) -associated biomarkers to evaluate whether genetic/biologic factors affect ethnic disparities in PC pathogenesis and disease progression.

PATIENTS AND METHODS

A total of 154 African American (AA) and 243 European American (EA) patients from four medical centers were matched according to the Cancer of the Prostate Risk Assessment postsurgical score within each institution. The distribution of mRNA expression levels of 20 validated biomarkers reported to be associated with PC initiation and progression was compared with ethnicity using false discovery rate, adjusted Wilcoxon-Mann-Whitney, and logistic regression models. A conditional logistic regression model was used to evaluate the interaction between ethnicity and biomarkers for predicting clinicopathologic outcomes.

RESULTS

Of the 20 biomarkers examined, six showed statistically significant differential expression in AA compared with EA men in one or more statistical models. These include ERG (P < .001), AMACR (P < .001), SPINK1 (P = .001), NKX3-1 (P = .03), GOLM1 (P = .03), and androgen receptor (P = .04). Dysregulation of AMACR (P = .036), ERG (P = .036), FOXP1 (P = .041), and GSTP1 (P = .049) as well as loss-of-function mutations for tumor suppressors NKX3-1 (P = .025) and RB1 (P = .037) predicted risk of pathologic T3 disease in an ethnicity-dependent manner. Dysregulation of GOLM1 (P = .037), SRD5A2 (P = .023), and MKi67 (P = .023) predicted clinical outcomes, including 3-year biochemical recurrence and metastasis at 5 years. A greater proportion of AA men than EA men had triple-negative (ERG-negative/ETS-negative/SPINK1-negative) disease (51% v 35%; P = .002).

CONCLUSION

We have identified a subset of PC biomarkers that predict the risk of clinicopathologic outcomes in an ethnicity-dependent manner. These biomarkers may explain in part the biologic contribution to ethnic disparity in PC outcomes between EA and AA men.

A reconsideration of the role of self-identified races in epidemiology and biomedical research

A considerable number of studies in epidemiology and biomedicine investigate the etiology of complex diseases by considering (self-identified) race as a relevant variable and focusing on the differences in risk among racial groups in the United States; they extensively draw on a genetic hypothesis--viz. the hypothesis that differences in the risk of complex diseases among racial groups are largely due to genetic differences covarying with genetic ancestry--that appears highly problematic in the light of both current biological evidence and the theory of human genome evolution. Is this reason for dismissing self-identified races? No. An alternative promising use of self-identified races exists, and ironically is suggested by those studies that investigate the etiology of complex diseases without focusing on racial differences. These studies provide a large amount of empirical evidence supporting the primacy of the contribution of non-genetic as opposed to genetic factors to the risk of complex diseases. We show that differences in race--or, better, in racial self-identification--may be critically used as proxies for differences in risk-related exposomes and epigenomes in the context of the United States. Self-identified race is what we need to capture the complexity of the effects of present and past racism on people's health and investigate risk-related external and internal exposures, gene-environment interactions, and epigenetic events. In fact patterns of racial self-identifications on one side, and patterns of risk-related exposomes and epigenomes on the other side, constantly coevolve and tend to match each other. However, there is no guarantee that using self-identified races in epidemiology and biomedical research will be beneficial all things considered: special attention must be paid at balancing positive and negative consequences.

Engaging diverse populations about biospecimen donation for cancer research

Clinical research increasingly relies upon the availability of appropriate genetic materials; however, the proportion of biospecimens from racial/ethnic minority patients and healthy controls are underrepresented, which preclude equitable research across all patient groups for cancer treatment. National Cancer Institute-funded Community Network Program Centers in California, Florida, and New York collaborated with local community partners to conduct three independent formative research studies with diverse (African American, Asian American, Hispanic, and White) participants to explore their knowledge, attitudes, and beliefs about biobanking, and their experiences with the donation of biospecimens. Our findings demonstrated similarities in overall low knowledge and understanding about the use of biospecimens for research. This was exacerbated for non-English speakers. Racial and ethnic groups differed with regard to a number of factors that are obstacles for participation, e.g., continuing medical mistrust (African Americans), lack of benefit (Hispanics), apprehension about the physical toll of donating (Vietnamese), usage of biospecimen for research (Hmong and Chinese), and suspicion of exploitation by corporate entities (Whites). However, participants uniformly reported general interest and willingness to participate in biobanking for altruistic purposes, particularly to benefit future generations. This interest was framed with a strong admonition that donations should be accompanied by transparency about study sponsorship and ownership, distribution and use of biospecimens, and study information that fit participants' backgrounds and experiences. This cross-cultural regional analysis offers significant insights into the similarities and variations in opinions and perceptions about biobanking and the collection of biospecimens for use in cancer research.

Homogeneity and heterogeneity as situational properties: producing--and moving beyond?--race in post-genomic science

In this article, we explore current thinking and practices around the logics of difference in gene-environment interaction research in the post-genomic era. We find that scientists conducting gene-environment interaction research continue to invoke well-worn notions of racial difference and diversity, but use them strategically to try to examine other kinds of etiologically significant differences among populations. Scientists do this by seeing populations not as inherently homogeneous or heterogeneous, but rather by actively working to produce homogeneity along some dimensions and heterogeneity along others in their study populations. Thus we argue that homogeneity and heterogeneity are situational properties--properties that scientists seek to achieve in their study populations, the available data, and other aspects of the research situation they are confronting, and then leverage to advance post-genomic science. Pointing to the situatedness of homogeneity and heterogeneity in gene-environment interaction research underscores the work that these properties do and the contingencies that shape decisions about research procedures. Through a focus on the situational production of homogeneity and heterogeneity more broadly, we find that gene-environment interaction research attempts to shift the logic of difference from solely racial terms as explanatory ends unto themselves, to racial and other dimensions of difference that may be important clues to the causes of complex diseases.

Engaging diverse populations about biospecimen donation for cancer research

Clinical research increasingly relies upon the availability of appropriate genetic materials; however, the proportion of biospecimens from racial/ethnic minority patients and healthy controls are underrepresented, which preclude equitable research across all patient groups for cancer treatment. National Cancer Institute-funded Community Network Program Centers in California, Florida, and New York collaborated with local community partners to conduct three independent formative research studies with diverse (African American, Asian American, Hispanic, and White) participants to explore their knowledge, attitudes, and beliefs about biobanking, and their experiences with the donation of biospecimens. Our findings demonstrated similarities in overall low knowledge and understanding about the use of biospecimens for research. This was exacerbated for non-English speakers. Racial and ethnic groups differed with regard to a number of factors that are obstacles for participation, e.g., continuing medical mistrust (African Americans), lack of benefit (Hispanics), apprehension about the physical toll of donating (Vietnamese), usage of biospecimen for research (Hmong and Chinese), and suspicion of exploitation by corporate entities (Whites). However, participants uniformly reported general interest and willingness to participate in biobanking for altruistic purposes, particularly to benefit future generations. This interest was framed with a strong admonition that donations should be accompanied by transparency about study sponsorship and ownership, distribution and use of biospecimens, and study information that fit participants' backgrounds and experiences. This cross-cultural regional analysis offers significant insights into the similarities and variations in opinions and perceptions about biobanking and the collection of biospecimens for use in cancer research.

Heuristic algorithms for assigning Hispanic ethnicity

We compared several techniques for assigning Hispanic ethnicity to records in data systems where this information may be missing, variously making use of country of origin, surname, race, and county of residence. We considered an algorithm in use by the North American Association of Central Cancer Registries (NAACCR), a variation of this developed by the authors, a "fast and frugal" algorithm developed with the aid of recursive partitioning methods, and conventional logistic regression. With the exception of logistic regression, each approach was rule-based: if specific criteria were met, an ethnicity assignment was made; otherwise, the next criterion was considered, until all records were assigned. We evaluated the algorithms on a sample of over 500,000 female clients from the New York State Cancer Services Program for whom self-reported Hispanic ethnicity was known. We found that all approaches yielded similarly high accuracy, sensitivity, and positive predictive value in all parts of the state, from areas with very low to very high Hispanic populations. An advantage of the fast and frugal method is that it consists of a small number of easily remembered steps.

The tumorigenic liver fluke Opisthorchis viverrini--multiple pathways to cancer

Liver fluke infection caused by Opisthorchis viverrini is a major public health problem in Thailand and adjacent countries. In addition to infection-associated morbidity, infection with O. viverrini and the related Clonorchis sinensis are unarguable risk factors for cholangiocarcinoma (CAA, bile-duct cancer). Here we review the pathogenesis of opisthorchiasis and the association between O. viverrini infection and bile-duct cancer, focusing on the molecular parallels between wound healing, chronic inflammation, and cancer development. We review a schema for human disease progression from fluke infection, chronic opisthorchiasis, advanced periductal fibrosis, and cholangiocarcinogenesis, and present a rationale for biomarker discovery to facilitate early intervention. We conclude by addressing post-genomic advances with a view to developing new control strategies to combat this infectious cancer.

Slow progress in cancer care disparities: HIPAA, PPACA, and CHEWBACCA... but we're still not there!

The way forward in solving disparities in cancer care in the U.S. is examined.

Exploring genetic susceptibility to cancer in diverse populations

Incidence rates for many cancers differ markedly by race/ethnicity and furthering our understanding of the genetic and environmental causes of such disparities is a scientific and public health need. Genome-wide association studies (GWAS) are widely acknowledged to provide important information about the etiology of common cancers. To date, these studies have been primarily conducted in European-derived populations. There are important reasons for extending the reach of GWAS studies to other groups and for conducting multiethnic genetic studies involving multiple populations and admixed populations. These include a (1) need to discover the full scope of variants that affect risk of disease in all populations, (2) furthering the understanding of disease pathways, and (3) to assist in fine-mapping of genetic associations by exploiting the differences in linkage disequilibrium between populations to narrow the range of marker alleles demarking regions that contain a true biologically relevant variant. Challenges to multiethnic studies relating to study power, control for hidden population structure, imputation, and use of shared controls for multiple cancer endpoints are discussed.

Racial and ethnic disparities in pain: causes and consequences of unequal care

The purpose of our review is to evaluate critically the recent literature on racial and ethnic disparities in pain and to determine how far we have come toward reducing and eliminating disparities in pain. We examined peer-reviewed research articles published between 1990 and early 2009 that focused on racial and ethnic disparities in pain in the United States. The databases used were PubMed, Medline, Scopus, CINAHL, and PsycInfo. The probable causes of minority group disparities in pain are discussed, along with suggested strategies for eliminating pain-related disparities. This review reveals the persistence of racial and ethnic disparities in acute, chronic, cancer, and palliative pain care across the lifespan and treatment settings, with minorities receiving lesser quality pain care than non-Hispanic whites. Although health and health care disparities attract local, state, and federal attention, disparities in pain care continue to be missing from publicized public health agendas and health care reform plans. Ensuring optimal pain care for all is critically important from a public health and policy perspective. A robust research program on disparities in pain is needed, and the results must be successfully translated into practices and policies specifically designed to reduce and eliminate disparities in care.

PERSPECTIVE

This review evaluates the recent literature on racial and ethnic disparities in pain and pain treatment. Racial and ethnic disparities in acute pain, chronic cancer pain, and palliative pain care continue to persist. Rigorous research is needed to develop interventions, practices, and policies for eliminating disparities in pain.

Influence of race/ethnicity on genetic counseling and testing for hereditary breast and ovarian cancer

Risk assessment coupled with genetic counseling and testing for the cancer predisposition genes BRCA1 and BRCA2 (BRCA1/2) has become an integral element of comprehensive patient evaluation and cancer risk management in the United States for individuals meeting high-risk criteria for hereditary breast and ovarian cancer (HBOC). For mutation carriers, several options for risk modification have achieved substantial reductions in future cancer risk. However, several recent studies have shown lower rates of BRCA1/2 counseling and testing among minority populations. Here, we explore the role of race/ethnicity in cancer risk assessment, genetic counseling and genetic testing for HBOC and the BRCA1/2 cancer predisposition genes. Barriers to genetic services related to race/ethnicity and underserved populations, including socioeconomic barriers (e.g., time, access, geographic, language/cultural, awareness, cost) and psychosocial barriers (e.g., medical mistrust, perceived disadvantages to genetic services), as well as additional barriers to care once mutation carriers are identified, will be reviewed.

Racial and ethnic differences in reproductive potential across the life cycle

OBJECTIVE

To review variations in specific reproductive health outcomes by race and ethnicity. A growing number of reports have explored potential gaps in the quality of reproductive health and healthcare across racial and ethnic groups. Diverse results from numerous investigations have made it challenging for practitioners to confirm the significance of these disparities.

METHOD(S)

Three specific areas of the reproductive life cycle were examined: pubertal onset, outcomes from treatment with assisted reproductive technologies (ART), and the menopausal transition. These areas were selected as they encompass a continuum of events across the reproductive life span of women. Outcomes were compared in black, white, Asian, and Hispanic women. Medline searches querying on keywords puberty, IVF, ART, menopause, menopausal symptoms, racial disparity, race, Asian, Japanese, Chinese, African American, black, Hispanic, and Latino were performed to isolate relevant publications for review.

RESULT(S)

Differences across race and ethnicity were noted in each clinical endpoint. The most notable findings included earlier puberty in blacks and Hispanics compared with whites, significantly lower live birth rates after ART in all racial and ethnic groups compared with whites, and differences in perimenopausal symptomatology and possibly timing in various racial/ethnic groups compared with whites. Additional research is needed to completely unravel the full significance and basic underpinnings of these disparities. Some of the limitations of the current state of the literature in drawing conclusions about the independent effect of race/ethnicity on reproductive disparities include small samples sizes in some studies, inconsistencies in the characterization of racial/ethnic groups, and incomplete control of potential confounding.

CONCLUSION(S)

Race and ethnicity appear to be important correlates of outcomes from the initiation of reproduction functioning through to its conclusion. The ultimate goal of identifying racial disparities in reproduction is to isolate the basic determinants of disparities and formulate strategies to improve outcomes for women at risk. The differences demonstrated in this review of the literature could represent environmental, sociocultural, and/or genetic correlates of race that influence these important milestones.

Ethnicity and characteristics of Hodgkin lymphoma in children

AIM

To identify ethnic group differences in the prognostic of Hodgkin lymphoma (HL) in South African children.

PATIENTS AND METHODS

In order to create a larger database, cases were pooled from two South African hospitals: Tygerberg in the Western Cape and Bloemfontein Academic Complex in Free State. Self-assigned ethnicity was used to allocate the children to the following groups: black, white, and colored (historical descendants of couples of distinct ethnicity, the "Cape colored" are the largest population group in Western Cape). Retrospective data over 21 years were obtained from the tumor registry. Age at presentation, sex, ethnic group, stage, histological type, treatment protocol, event-free survival interval, and mortality were analyzed. The statistical significance of the findings was tested using the chi-square, Mann-Whitney U, and Kruskal-Wallis tests, as indicated.

RESULTS

The study population of 138 comprised 78 black (56.5%), 38 colored (27.5%), and 22 white (16%) children under 15 years of age. There was a 3:1 predominance of the male gender. The median age at diagnosis was 8 years 11 months. Black patients presented at the youngest age (median 103 months), whereas white patients were the oldest at presentation (median age 133 months; P = 0.04).Forty-five percent of all patients were seen in stage 2. Black and colored patients presented with significantly more advanced stage disease (P = 0.04) than whites. B symptoms were evenly distributed among ethnic groups; they increased the mortality ratio from 10% to 33% (P = 0.0019). Histologically, mixed cellularity was seen in 50% of the black children, while nodular sclerosis was found in 50% of whites. The overall survival rate is 79%, with 68% in whites, 84% in patients of mixed ethnicity, and 79% in blacks (P = 0.35).

CONCLUSIONS

White children had the worst HL prognosis in this series, in spite of a less advanced stage at presentation.

Social and ethical implications of genomics, race, ethnicity, and health inequities

OBJECTIVES

To review ethical, ethnic/ancestral, and societal issues of genetic and genomic information and technologies in the context of racial and ethnic health disparities.

DATA SOURCES

Research and journal articles, government reports, web sites.

CONCLUSION

As knowledge of human genetic variation and its link to diseases continues to grow, some see race and ethnicity well poised to serve as genetic surrogates in predicting disease etiology and treatment response. However, stereotyping and bias in clinical interactions can be barriers to effective treatment for racial and ethnic minority patients.

IMPLICATIONS FOR NURSING PRACTICE

The nursing profession has a key role in assuring that genomic health care does not enhance racial and ethnic health inequities. This will require utilization of new genomic knowledge and caring for each patient as an individual in a culturally and clinically appropriate manner.

Methods and approaches in using secondary data sources to study race and ethnicity factors

Race and ethnicity are increasing used in cancer research to assess differences in cancer incidence and response to therapy. In this chapter, we discuss the measurement and methodologic issues that should be addressed to minimize bias and derive valid estimates when performing such assessments. These issues include 1) lack of national standards for race and ethnicity categories; 2) difficulty in comparing race and ethnic categories in longitudinal assessments; 3) broad categorization of race and ethnicity groups that do not provide adequate details for meaningful assessments; 4) inaccuracies in race and ethnicity data collection, and 5) confounding by socioeconomic and other factors. Recommendations for improving race and ethnicity data collection also are discussed.

Strategies and stakeholders: minority recruitment in cancer genetics research

The Cancer Genetics Network (CGN) is one of a growing number of large-scale registries designed to facilitate investigation of genetic and environmental contributions to health and disease. Despite compelling scientific and social justice arguments that recommend diverse participation in biomedical research, members of ethnic minority groups continue to be chronically underrepresented in such projects. The CGN studies reported in this issue used strategies well documented to increase minority participation in research activities, including use of community-targeted materials, addressing community trust concerns, and the adoption of personalized and flexible research protocols. Here, we review the outcome of these efforts to increase minority recruitment to the CGN, and ask what lessons the findings suggest for future minority recruitment initiatives.

Effect of Race on the Outcome of Pediatric Patients With Hodgkin's Lymphoma

Purpose

Some cooperative groups have found a survival disadvantage in black children with various childhood cancers. We examine the effects of race on clinical outcomes among children with Hodgkin's lymphoma (HL) treated with contemporary therapy at a tertiary care children's hospital.

Patients and Methods

Retrospective analysis of 327 children and adolescents diagnosed with HL between 1990 and 2005. Patients were treated with risk-directed multimodal therapy regardless of race, ethnicity, or ability to pay. Event-free and overall survival rates were compared for black and white children. Clinical characteristics, socioeconomic factors, and biologic features were analyzed for prognosis of treatment failure.

Results

The 262 white and 65 black patients did not differ significantly in presenting features, clinical characteristics, or enrollment in a clinical trial. More black patients (71% v 45%) resided in poor counties (P < .001). While black and white children were equally likely to have progressive disease or early relapse, black children were 3.7 times (95% CI, 1.7 to 8.0) more likely to relapse 12 months or more after diagnosis. The 5-year event-free survival was 71% ± 6.1% (SE) for black and 84% ± 2.4% for white children (P = .01). However, the 5-year survival rate did not differ between white and black children (94.4% v 94.7%). While black race and low hemoglobin concentration were independent predictors of treatment failure, only low hemoglobin concentration independently predicted poor survival.

Conclusion

Black children with Hodgkin's lymphoma have lower event-free survival than white children, but both populations have the same 5-year overall survival.

Ethnic differences in hepatocellular carcinoma: implications for liver transplantation

Liver transplantation (LT) as a treatment for Hepatocellular Carcinoma (HCC) provides excellent outcomes if restricted to patients who meet the Milan criteria (MC). The aim of this study was to evaluate the influence of ethnicity on eligibility for LT based on the MC. This is a retrospective cohort study of patients diagnosed with HCC at our institution between January 2000 and September 2005. We identified 169 patients, of whom 135 were male (80%), 108 were Caucasian (64%), 29% were African American (AA) and 7% were of other ethnicity. Eighty two patients (49%) met the MC at diagnosis. Age, gender, severity of liver disease or insurance status was not predictive of meeting MC at diagnosis. Ethnicity was the only significant predictor for failure to meet MC. Significantly fewer Caucasians exceeded the MC compared to AA (44 vs. 71%; P = 0.0015). Conclusion AA are more likely to present with HCC that exceeds the MC.

The structure of common genetic variation in United States populations

The common-variant/common-disease model predicts that most risk alleles underlying complex health-related traits are common and, therefore, old and found in multiple populations, rather than being rare or population specific. Accordingly, there is widespread interest in assessing the population structure of common alleles. However, such assessments have been confounded by analysis of data sets with bias toward ascertainment of common alleles (e.g., HapMap and Perlegen) or in which a relatively small number of genes and/or populations were sampled. The aim of this study was to examine the structure of common variation ascertained in major U.S. populations, by resequencing the exons and flanking regions of 3,873 genes in 154 chromosomes from European, Latino/Hispanic, Asian, and African Americans generated by the Genaissance Resequencing Project. The frequency distributions of private and common single-nucleotide polymorphisms (SNPs) were measured, and the extent to which common SNPs were shared across populations was analyzed using several different estimators of population structure. Most SNPs that were common in one population were present in multiple populations, but SNPs common in one population were frequently not common in other populations. Moreover, SNPs that were common in two or more populations often differed significantly in frequency from one population to another, particularly in comparisons of African Americans versus other U.S. populations. These findings indicate that, even if the bulk of alleles underlying complex health-related traits are common SNPs, geographic ancestry might well be an important predictor of whether a person carries a risk allele.

Can ethical reasoning contribute to better epidemiology? A case study in research on racial health disparities

A common belief among epidemiologists and other scientists is that they ought not engage in ethical evaluation or endorse any particular ethical, political, or social values while involved in scientific reasoning. Such values are irrelevant to collecting and interpreting data and can only lead to bias. This view is also reflected in scientists' education. The authors argue that ethical values are crucial to conducting much epidemiological research. Focusing on epidemiological research on racial health disparities, they show that value judgments are inescapable when performing such research. Values are implicit in the framing of research questions, the identification of the problem, and the choices of design and methodology. By making value judgments explicit, scientists will be more likely to pay attention to them and thus assess them in critical ways. Finally, the implications that this has for scientific training are discussed. Scientific training should prepare scientists to engage in ethical reasoning not only because it will make them more responsible human beings, but also because it will make them better scientists.

Cancer incidence and mortality and vitamin D in black and white male health professionals

Blacks have been documented to have low vitamin D levels. We thus examined whether total cancer incidence and mortality rates differ between Blacks and Whites in a population of male health professionals, and particularly for digestive system cancers (oral, esophagus, stomach, pancreas, and colorectum), which have been most consistently linked to poor vitamin D status. Second, we examined whether Blacks might be more susceptible to these cancers if they concurrently had other risk factors for hypovitaminosis D. In the Health Professionals Follow-up Study, from 1986 to 2002, 99 of 481 Black men and 7,019 of 43,468 White men were diagnosed with cancer. Adjusting for multiple dietary, lifestyle, and medical risk factors, using Cox modeling, Black men were at higher risk of total cancer incidence [relative risk (RR), 1.32; 95% confidence interval (95% CI), 1.08-1.61; P = 0.007] and total cancer mortality (RR, 1.89; 95% CI, 1.40-2.56; P < 0.0001) and especially digestive system cancer mortality (RR, 2.24; 95% CI, 1.35-3.70). Compared with Whites with relatively few risk factors for hypovitaminosis D, Blacks also with few risk factors for hypovitaminosis D were not at appreciably higher risk of total cancer incidence (RR, 0.95; 95% CI, 0.60-1.51) or mortality (RR, 1.55; 95% CI, 0.91-2.62), but Black men with additional risk factors for poorer vitamin D status had a much higher cancer incidence (RR, 1.57; 95% CI, 1.16-2.11) and mortality risk (RR, 2.27; 95% CI, 1.57-3.28). This pattern was even more pronounced for digestive system cancer. Our results suggest that the high frequency of hypovitaminosis D in Blacks may be an important, and easily modifiable, contributor to their higher risk of cancer incidence and mortality.

Race/ethnicity and fracture risk assessment: an issue that is more than skin deep

The study of race/ethnicity in relation to health outcomes and health disparities is of great importance in medicine. This is as true in the field of osteoporosis as it is in others, and it comes into sharp focus when the question of population-specific reference data for bone densitometry arises. Race/ethnicity can be viewed as both an ecosocial construct and as a biomedical concept. Whether or not, and how, to use race/ethnicity in fracture assessment potentially places these two paradigms in opposition. In this article, some of the issues that need to be considered to develop a rational approach to reference data selection and a globally acceptable measure of fracture risk are reviewed. Race/ethnicity is often a proxy for other disease-related risk factors. Understanding fundamental risk factors goes beyond the language of race/ethnicity.