Socioeconomic, Rural-Urban, and Racial Inequalities in US Cancer Mortality: Part I-All Cancers and Lung Cancer and Part II-Colorectal, Prostate, Breast, and Cervical Cancers

Association of county-level provider density with hepatobiliary cancer incidence and mortality

BACKGROUND

Access to healthcare providers is a key factor in reducing cancer incidence and mortality, underscoring the significance of provider density as a crucial metric of health quality. We sought to characterize the association of provider density on hepatobiliary cancer population-level incidence and mortality.

STUDY DESIGN

County-level hepatobiliary cancer incidence and mortality data from 2016 to 2020 and provider data from 2016 to 2018 were obtained from the CDC and Area Health Resource File. Multivariable logistic regression was utilized to evaluate the relationship between provider density and hepatobiliary cancer incidence and mortality.

RESULTS

Among 1359 counties, 851 (62.6%) and 508 (37.4%) counties were categorized as urban and rural, respectively. The median number of providers in any given county was 104 (IQR: 44-306), while provider density was 120.1 (IQR: 86.7-172.2) per 100,000 population; median household income was $51,928 (IQR: $45,050-$61,655). Low provider-density counties were more likely to have a greater proportion of residents over 65 years of age (52.7% vs. 49.6%) who were uninsured (17.4% vs. 13.2%) versus higher provider-density counties (p < 0.05). Moreover, all-stage incidence, late-stage incidence, and mortality rates were higher in counties with low provider density. On multivariable analysis, moderate, and high provider density were associated with lower odds of all-stage incidence, late-stage incidence, and mortality.

CONCLUSION

Higher county-level provider density was associated with lower hepatobiliary cancer-related incidence and mortality. Efforts to increase access to healthcare providers may improve healthcare equity as well as long-term cancer outcomes.

Healthcare Use and Expenditures in Rural Survivors of Hospitalization for Sepsis

OBJECTIVES

Sepsis survivors have greater healthcare use than those surviving hospitalizations for other reasons, yet factors associated with greater healthcare use in this population remain ill-defined. Rural Americans are older, have more chronic illnesses, and face unique barriers to healthcare access, which could affect postsepsis healthcare use. Therefore, we compared healthcare use and expenditures among rural and urban sepsis survivors. We hypothesized that rural survivors would have greater healthcare use and expenditures.

DESIGN, SETTING, AND PATIENTS

To test this hypothesis, we used data from 106,189 adult survivors of a sepsis hospitalization included in the IBM MarketScan Commercial Claims and Encounters database and Medicare Supplemental database between 2013 and 2018.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We identified hospitalizations for severe sepsis and septic shock using the International Classification of Diseases, 9th Edition (ICD-9) or 1CD-10 codes. We used Metropolitan Statistical Area classifications to categorize rurality. We measured emergency department (ED) visits, inpatient hospitalizations, skilled nursing facility admissions, primary care visits, physical therapy visits, occupational therapy visits, and home healthcare visits for the year following sepsis hospitalizations. We calculated the total expenditures for each of these categories. We compared outcomes between rural and urban patients using multivariable regression and adjusted for covariates. After adjusting for age, sex, comorbidities, admission type, insurance type, U.S. Census Bureau region, employment status, and sepsis severity, those living in rural areas had 17% greater odds of having an ED visit (odds ratio [OR] 1.17; 95% CI, 1.13-1.22; p < 0.001), 9% lower odds of having a primary care visit (OR 0.91; 95% CI, 0.87-0.94; p < 0.001), and 12% lower odds of receiving home healthcare (OR 0.88; 95% CI, 0.84-0.93; p < 0.001). Despite higher levels of ED use and equivalent levels of hospital readmissions, expenditures in these areas were 14% (OR 0.86; 95% CI, 0.80-0.91; p < 0.001) and 9% (OR 0.91; 95% CI, 0.87-0.96; p < 0.001) lower among rural survivors, respectively, suggesting these services may be used for lower-acuity conditions.

CONCLUSIONS

In this large cohort study, we report important differences in healthcare use and expenditures between rural and urban sepsis survivors. Future research and policy work is needed to understand how best to optimize sepsis survivorship across the urban-rural continuum.

Associations between subjective social status and predictors of interest in genetic testing among women diagnosed with breast cancer at a young age

PURPOSE

Genetic testing for gene mutations which elevate risk for breast cancer is particularly important for women diagnosed at a young age. Differences remain in access and utilization to testing across social groups, and research on the predictors of interest in genetic testing for women diagnosed at a young age is limited.

METHODS

We examined the relationships between subjective social status (SSS) and variables previously identified as possible predictors of genetic testing, including genome sequencing knowledge, genetic worry, cancer worry, health consciousness, decision-making preferences, genetic self-efficacy, genetic-related beliefs, and subjective numeracy, among a cohort of women who were diagnosed with breast cancer at a young age.

RESULTS

In this sample (n = 1,076), those who had higher SSS had significantly higher knowledge about the limitations of genome sequencing (Odds Ratio (OR) = 1.11; 95% CI = 1.01-1.21) and significantly higher informational norms (OR = 1.93; 95% CI = 1.19-3.14) than those with lower SSS. Similarly, education (OR = 2.75; 95% CI = 1.79-4.22), health status (OR = 2.18; 95% CI = 1.44-3.31) were significant predictors among higher SSS women compared to lower SSS women in our multivariate analysis. Lower SSS women with low self-reported income (OR = 0.13; 95% CI = 0.08-0.20) had lower odds of genetic testing interest. Our results are consistent with some prior research utilizing proxy indicators for socioeconomic status, but our research adds the importance of using a multidimensional indicator such as SSS to examine cancer and genetic testing predictor outcomes.

CONCLUSION

To develop interventions to improve genetic knowledge, researchers should consider the social status and contexts of women diagnosed with breast cancer at a young age (or before 40 years old) to ensure equity in the distribution of genetic testing benefits.

Disparities in PI3K/mTOR inhibitor use, toxicities, and outcomes among patients with metastatic breast cancer

PURPOSE

Novel agents such as PI3K and mTOR inhibitors (PI3K/mTORi) have expanded treatment options in metastatic breast cancer (MBC). Nevertheless, mortality rates remain disproportionately high for Black patients and patients with lower socioeconomic status. Furthermore, clinical trials for these novel agents lacked diversity, so their toxicity profile in minority populations is uncertain.

METHODS

We conducted a retrospective analysis of EHR-derived data from the Flatiron Health Database for patients with HR+, HER2- MBC. Multivariable logistic regression was used to evaluate factors associated with PI3K/mTORi use and toxicity outcomes.

RESULTS

A total of 9169 patients with MBC were included in our analysis, of which 1780 (19.4%) received a PI3K/mTORi. We estimated the conditional total effect of insurance through Medicaid, and found lower odds of use of PI3K/mTORi among patients on Medicaid compared to those with commercial insurance (OR 0.73, 95% CI 0.54-0.99, p = 0.049). Odds of PI3K/mTORi use were higher for patients treated at an academic center (OR 1.28, CI 1.06-1.55, p = 0.01). Modeled as a controlled direct effect, Black/African American (Black/AA) race had no impact on odds of PI3K/mTOR use. Black/AA patients had twice the odds of developing hyperglycemia on PI3K/mTORi compared to White patients (OR 2.02, CI 1.24-3.39, p < 0.01).

CONCLUSION

This analysis of real-world data suggests that the use of PI3K/mTORi is influenced by socioeconomic factors. We also found racial disparities in toxicity outcomes, with Black/AA patients having twice the risk of hyperglycemia. Our findings call for greater efforts to ensure access to novel treatments and improve their tolerability in diverse populations.

The association between neighborhood socioeconomic status and the risk of incidence and mortality of colorectal cancer: A systematic review and meta-analysis of 1,678,582 participants

OBJECTIVES

We conducted a systematic review and meta-analysis to evaluate the association between neighborhood socioeconomic status (n-SES) and the risk of incidence and mortality in colorectal cancer (CRC).

SETTING

A comprehensive literature search was performed using PubMed/MEDLINE, ISI Web of Science and Scopus without any limitation until October 11, 2023. Inclusion criteria consisted of observational studies in adult subjects (≥18 years) which provided data on the association between n-SES and CRC-related incidence and mortality. Relative risk (RR) and 95 % confidence interval (CI) were pooled by employing a random-effects model. We employed validated methods to assess study quality and publication bias, utilizing the Newcastle-Ottawa Scale for quality evaluation, subgroup analysis to find possible sources of heterogeneity, Egger's regression asymmetry and Begg's rank correlation tests for bias detection and sensitivity analysis.

RESULTS

Finally, 24 studies (21 cohorts and 3 cross-sectional studies) from seven different countries with 1678,582 participants were included. The analysis suggested that a significant association between lower n-SES and an increased incidence of CRC (RR=1.11; 95 % CI: 1.08, 1.14; I2=64.4 %; p<0.001; n=46). The analysis also indicated a significant association between lower n-SES and an increased risk of mortality of CRC (RR=1.21; 95 % CI: 1.16, 1.26; I2=76.4 %; p<0.001; n=23). Furthermore, subgroup analysis revealed that there was a significant association between lower n-SES and an increased risk of incidence of CRC in colon location (RR=1.06; 95 % CI: 1.02, 1.10; I2=0.0 %; p=0.001; n=8), but not rectal location. In addition, subgroup analysis for covariates adjustment suggested that body mass index, smoking, physical activity, alcohol intake, or sex adjustment may influence the relationship between n-SES and the risk of incidence and mortality in CRC.

CONCLUSION

Lower n-SES was found to be a contributing factor to increased incidence and mortality rates associated with CRC, highlighting the substantial negative impacts of lower n-SES on cancer susceptibility and health outcomes.

Predictors of high-intensity care at the end of life among older adults with solid tumors: A population-based study

INTRODUCTION

High-intensity end-of-life (EoL) care can be burdensome for patients, caregivers, and health systems and does not confer any meaningful clinical benefit. Yet, there are significant knowledge gaps regarding the predictors of high-intensity EoL care. In this study, we identify risk factors associated with high-intensity EoL care among older adults with the four most common malignancies, including breast, prostate, lung, and colorectal cancer.

MATERIALS AND METHODS

Using SEER-Medicare data, we conducted a retrospective analysis of Medicare beneficiaries aged 65 and older who died of breast, prostate, lung, or colorectal cancer between 2011 and 2015. We used multivariable logistic regression to identify clinical, demographic, socioeconomic, and geographic predictors of high-intensity EoL care, which we defined as death in an acute care hospital, receipt of any oral or parenteral chemotherapy within 14 days of death, one or more admissions to the intensive care unit within 30 days of death, two or more emergency department visits within 30 days of death, or two or more inpatient admissions within 30 days of death.

RESULTS

Among 59,355 decedents, factors associated with increased likelihood of receiving high-intensity EoL care were increased comorbidity burden (odds ratio [OR]:1.29; 95% confidence interval [CI]:1.28-1.30), female sex (OR:1.05; 95% CI:1.01-1.09), Black race (OR:1.14; 95% CI:1.07-1.23), Other race/ethnicity (OR:1.20; 95% CI:1.10-1.30), stage III disease (OR:1.11; 95% CI:1.05-1.18), living in a county with >1,000,000 people (OR:1.23; 95% CI:1.16-1.31), living in a census tract with 10%-<20% poverty (OR:1.09; 95% CI:1.03-1.16) or 20%-100% poverty (OR:1.12; 95% CI:1.04-1.19), and having state-subsidized Medicare premiums (OR:1.18; 95% CI:1.12-1.24). The risk of high-intensity EoL care was lower among patients who were older (OR:0.98; 95% CI:0.98-0.99), lived in the Midwest (OR:0.69; 95% CI:0.65-0.75), South (OR:0.70; 95% CI:0.65-0.74), or West (OR:0.81; 95% CI:0.77-0.86), lived in mostly rural areas (OR:0.92; 95% CI:0.86-1.00), and had poor performance status (OR:0.26; 95% CI:0.25-0.28). Results were largely consistent across cancer types.

DISCUSSION

The risk factors identified in our study can inform the development of new interventions for patients with cancer who are likely to receive high-intensity EoL care. Health systems should consider incorporating these risk factors into decision-support tools to assist clinicians in identifying which patients should be referred to hospice and palliative care.

Impacts of socioeconomic and environmental factors on neoplasms incidence rates using machine learning and GIS: a cross-sectional study in Iran

Neoplasm is an umbrella term used to describe either benign or malignant conditions. The correlations between socioeconomic and environmental factors and the occurrence of new-onset of neoplasms have already been demonstrated in a body of research. Nevertheless, few studies have specifically dealt with the nature of relationship, significance of risk factors, and geographic variation of them, particularly in low- and middle-income communities. This study, thus, set out to (1) analyze spatiotemporal variations of the age-adjusted incidence rate (AAIR) of neoplasms in Iran throughout five time periods, (2) investigate relationships between a collection of environmental and socioeconomic indicators and the AAIR of neoplasms all over the country, and (3) evaluate geographical alterations in their relative importance. Our cross-sectional study design was based on county-level data from 2010 to 2020. AAIR of neoplasms data was acquired from the Institute for Health Metrics and Evaluation (IHME). HotSpot analyses and Anselin Local Moran's I indices were deployed to precisely identify AAIR of neoplasms high- and low-risk clusters. Multi-scale geographically weight regression (MGWR) analysis was worked out to evaluate the association between each explanatory variable and the AAIR of neoplasms. Utilizing random forests (RF), we also examined the relationships between environmental (e.g., UV index and PM2.5 concentration) and socioeconomic (e.g., Gini coefficient and literacy rate) factors and AAIR of neoplasms. AAIR of neoplasms displayed a significant increasing trend over the study period. According to the MGWR, the only factor that significantly varied spatially and was associated with the AAIR of neoplasms in Iran was the UV index. A good accuracy RF model was confirmed for both training and testing data with correlation coefficients R2 greater than 0.91 and 0.92, respectively. UV index and Gini coefficient ranked the highest variables in the prediction of AAIR of neoplasms, based on the relative influence of each variable. More research using machine learning approaches taking the advantages of considering all possible determinants is required to assess health strategies outcomes and properly formulate policy planning.

Assessment of Social Vulnerabilities of Care and Prognosis in Adult Ocular Melanomas in the US

BACKGROUND

Prior works have studied the impact of social determinants on various cancers but there is limited analysis on eye-orbit cancers. Current literature tends to focus on socioeconomic status and race, with sparse analysis of interdisciplinary contributions. We examined social determinants as measured by the Centers for Disease Control and Prevention (CDC) Social Vulnerability Index (SVI), quantifying eye and orbit melanoma disparities across the United States.

METHODS

A retrospective review of 15,157 patients diagnosed with eye-orbit cancers in the Surveillance, Epidemiology, and End Results (SEER) database from 1975 to 2017 was performed, extracting 6139 ocular melanomas. SVI scores were abstracted and matched to SEER patient data, with scores generated by weighted averages per population density of county's census tracts. Primary outcome was months survived, while secondary outcomes were advanced staging, high grading, and primary surgery receipt.

RESULTS

With increased total SVI score, indicating more vulnerability, we observed significant decreases of 23.1% in months survival for melanoma histology (p < 0.001) and 19.6-39.7% by primary site. Increasing total SVI showed increased odds of higher grading (odds ratio [OR] 1.20, 95% confidence interval [CI] 1.02-1.43) and decreased odds of surgical intervention (OR 0.94, 95% CI 0.92-0.96). Of the four themes, higher magnitude contributions were observed with socioeconomic status (26.0%) and housing transportation (14.4%), while lesser magnitude contributions were observed with minority language status (13.5%) and household composition (9.0%).

CONCLUSIONS

Increasing social vulnerability, as measured by the CDC SVI and its subscores, displayed significant detrimental trends in prognostic and treatment factors for adult eye-orbit melanoma. Subscores quantified which social determinants contributed most to disparities. This lays groundwork for providers to target the highest-impact social determinant for non-clinical factors in patient care.

AI-generated CT body composition biomarkers associated with increased mortality risk in socioeconomically disadvantaged individuals

PURPOSE

To evaluate the relationship between socioeconomic disadvantage using national area deprivation index (ADI) and CT-based body composition measures derived from fully automated artificial intelligence (AI) tools to identify body composition measures associated with increased risk for all-cause mortality and adverse cardiovascular events.

METHODS

Fully automated AI body composition tools quantifying abdominal aortic calcium, abdominal fat (visceral [VAT], visceral-to-subcutaneous ratio [VSR]), and muscle attenuation (muscle HU) were applied to non-contrast CT examinations in adults undergoing screening CT colonography (CTC). Patients were partitioned into 5 socioeconomic groups based on the national ADI rank at the census block group level. Pearson correlation analysis was performed to determine the association between national ADI and body composition measures. One-way analysis of variance was used to compare means across groups. Odds ratios (ORs) were generated using high-risk, high specificity (90% specificity) body composition thresholds with the most disadvantaged groups being compared to the least disadvantaged group (ADI < 20).

RESULTS

7785 asymptomatic adults (mean age, 57 years; 4361:3424 F:M) underwent screening CTC from April 2004-December 2016. ADI rank data were available in 7644 patients. Median ADI was 31 (IQR 22-43). Aortic calcium, VAT, and VSR had positive correlation with ADI and muscle attenuation had a negative correlation with ADI (all p < .001). Compared with the least disadvantaged group, mean differences for the most disadvantaged group (ADI > 80) were: Aortic calcium (Agatston) = 567, VAT = 27 cm2, VSR = 0.1, and muscle HU = -6 HU (all p < .05). Compared with the least disadvantaged group, the most disadvantaged group had significantly higher odds of having high-risk body composition measures: Aortic calcium OR = 3.8, VAT OR = 2.5, VSR OR = 2.0, and muscle HU OR = 3.1(all p < .001).

CONCLUSION

Fully automated CT body composition tools show that socioeconomic disadvantage is associated with high-risk body composition measures and can be used to identify individuals at increased risk for all-cause mortality and adverse cardiovascular events.

Rural-specific identity and associations with lifestyle behaviors and well-being among rural cancer survivors

BACKGROUND

Disparities in rural cancer survivors' health outcomes are well-documented, yet the role of sociocultural aspects of rurality, such as rural identity, attitudes toward rurality, and social standing on health beliefs and behaviors remain unclear. This study aimed to address these gaps.

METHODS

Rural cancer survivors (N = 188) completed a mailed/online survey. Regression analyses identified relationships among rural identity, negative attitudes toward rurality, and social standing with health outcomes, quality of life, cancer fatalism, and cancer information overload.

RESULTS

Higher rural identity was associated with believing everything causes cancer (OR = 1.58, p = 0.048), believing "there's not much you can do to lower your chances of getting cancer" (OR = 2.22, p = 0.002), and higher odds of being overloaded with cancer information (OR = 2.05, p  = 0.008). Negative attitudes toward rurality was linked with higher levels of perceived stress (B = 0.83, p = 0.001), and chronic pain (OR = 1.47, p = 0.039). Higher subjective social status was associated with perceived social support (B = 0.09, p = 0.016), better overall health (B = 0.13, p < 0.001), lower levels of perceived stress (B = -0.38, p = 0.007), and chronic pain (OR = 0.80, p = 0.027).

CONCLUSION

Sociocultural factors of rurality were associated with indicators of quality of life, cancer fatalism, and information overload. Further exploration of the underlying mechanisms that drive these associations can help improve intervention targets for rural cancer survivors.

Feasibility of precision smoking treatment in a low-income community setting: results of a pilot randomized controlled trial in The Southern Community Cohort Study

BACKGROUND

The feasibility of precision smoking treatment in socioeconomically disadvantaged communities has not been studied.

METHODS

Participants in the Southern Community Cohort Study who smoked daily were invited to join a pilot randomized controlled trial of three smoking cessation interventions: guideline-based care (GBC), GBC plus nicotine metabolism-informed care (MIC), and GBC plus counseling guided by a polygenic risk score (PRS) for lung cancer. Feasibility was assessed by rates of study enrollment, engagement, and retention, targeting > 70% for each. Using logistic regression, we also assessed whether feasibility varied by age, sex, race, income, education, and attitudes toward precision smoking treatment.

RESULTS

Of 92 eligible individuals (79.3% Black; 68.2% with household income < $15,000), 67 (72.8%; 95% CI 63.0-80.9%) enrolled and were randomized. Of these, 58 (86.6%; 95% CI 76.4-92.8%) engaged with the intervention, and of these engaged participants, 43 (74.1%; 95% CI 61.6-83.7%) were retained at 6-month follow-up. Conditional on enrollment, older age was associated with lower engagement (OR 0.83, 95% CI 0.73-0.95, p = 0.008). Conditional on engagement, retention was significantly lower in the PRS arm than in the GBC arm (OR 0.18, 95% CI 0.03-1.00, p = 0.050). No other selection effects were observed.

CONCLUSIONS

Genetically informed precision smoking cessation interventions are feasible in socioeconomically disadvantaged communities, exhibiting high enrollment, engagement, and retention irrespective of race, sex, income, education, or attitudes toward precision smoking treatment. Future smoking cessation interventions in this population should take steps to engage older people and to sustain participation in interventions that include genetic risk counseling.

TRIAL REGISTRATION

ClinicalTrials.gov No. NCT03521141, Registered 27 April 2018, https://www.

CLINICALTRIALS

gov/study/NCT03521141.

Health care utilization by long-term survivors of blood or marrow transplantation-A Bone Marrow Transplant Survivor Study report

BACKGROUND

Blood or marrow transplantation (BMT) survivors carry a high burden of morbidity, yet health care utilization by this vulnerable population remains understudied. Patterns and predictors of various domains of health care utilization in long-term BMT survivors were evaluated.

METHODS

Study participants were drawn from the Bone Marrow Transplant Survivor Study (BMTSS). Patients transplanted between 1974 and 2014 at one of three transplant centers who had survived ≥2 years after BMT and were aged ≥18 years at the time of the study were included. A BMTSS survey served as the source of data for health care utilization, sociodemographics, and chronic health conditions. Domains of health care utilization in the 2 years preceding study participation included routine checkups, BMT-related visits, transplant/cancer center visits, emergency room (ER) visits, hospitalizations, and high health care utilization (≥7 physician visits during the 2 years before the study). Clinical characteristics and therapeutic exposures were abstracted from medical records.

RESULTS

In this cohort of 3342 BMT survivors (52% allogeneic), the prevalence of health care utilization declined over time since BMT for both allogeneic and autologous BMT survivors, such that among those who had survived ≥20 years, only 49%-53% had undergone routine checkups, 37%-38% reported BMT-related visits, and 28%-29% reported transplant/cancer center visits. The presence of severe/life-threatening conditions and chronic graft-vs-host disease increased the odds of health care utilization across all domains. Lower education, lack of insurance, and Hispanic ethnicity were associated with a lower prevalence of routine checkups and/or transplant/cancer center visits. Lower income increased the odds of ER visits but reduced the odds of hospitalizations or high health care utilization.

CONCLUSIONS

This study identified vulnerable populations of long-term BMT survivors who would benefit from specialized risk-based anticipatory care to reduce high health care utilization, ER visits, and hospitalizations.

Implementing the European code of cancer practice in rural settings

Existing evidence often indicates higher cancer incidence and mortality rates, later diagnosis, lower screening uptake and poorer long-term survival for people living in rural compared to more urbanised areas. Despite wide inequities and variation in cancer care and outcomes across Europe, much of the scientific literature explicitly exploring the impact of rurality on cancer continues to come from Australia and North America. The European Code of Cancer Practice or "The Code" is a citizen and patient-centred statement of the most salient requirements for good clinical cancer practice and has been extensively co-produced by cancer patients, cancer professionals and patient advocates. It contains 10 key overarching Rights that a cancer patient should expect from their healthcare system, regardless of where they live and has been strongly endorsed by professional and patient cancer organisations as well as the European Commission. In this article, we use these 10 fundamental Rights as a framework to argue that (i) the issues and needs identified in The Code are generally more profound for rural people with cancer; (ii) addressing these issues is also more challenging in rural contexts; (iii) interventions and support must explicitly account for the unique needs of rural residents living with and affected by cancer and (iv) new innovative approaches are urgently required to successfully overcome the challenges faced by rural people with cancer and their caregivers. Despite equitable healthcare being a key European policy focus, the needs of rural people living with cancer have largely been neglected.

Integrating primary care, shared decision making, and community engagement to facilitate equitable access to multi-cancer early detection clinical trials

Effective implementation of cancer screening programs can reduce disease-specific incidence and mortality. Screening is currently recommended for breast, cervical, colorectal and lung cancer. However, initial and repeat adherence to screening tests in accordance with current guidelines is sub-optimal, with the lowest rates observed in historically underserved groups. If used in concert with recommended cancer screening tests, new biospecimen-based multi-cancer early detection (MCED) tests could help to identify more cancers that may be amendable to effective treatment. Clinical trials designed to assess the safety and efficacy of MCED tests to assess their potential for reducing cancer mortality are needed and many are underway. In the conduct of MCED test trials, it is crucial that participant recruitment efforts successfully engage participants from diverse populations experiencing cancer disparities. Strategic partnerships involving health systems, clinical practices, and communities can increase the reach of MCED trial recruitment efforts among populations experiencing disparities. This goal can be achieved by developing health system-based learning communities that build understanding of and trust in biomedical research; and by applying innovative methods for identifying eligible trial patients, educating potential participants about research trials, and engaging eligible individuals in shared decision making (SDM) about trial participation. This article describes how a developing consortium of health systems has used this approach to encourage the uptake of cancer screening in a wide range of populations and how such a strategy can facilitate the enrollment of persons from diverse patient and community populations in MCED trials.

#4Corners4Health Social Media Cancer Prevention Campaign for Emerging Adults: Protocol for a Randomized Stepped-Wedge Trial

BACKGROUND

Many emerging adults (EAs) are prone to making unhealthy choices, which increase their risk of premature cancer morbidity and mortality. In the era of social media, rigorous research on interventions to promote health behaviors for cancer risk reduction among EAs delivered over social media is limited. Cancer prevention information and recommendations may reach EAs more effectively over social media than in settings such as health care, schools, and workplaces, particularly for EAs residing in rural areas.

OBJECTIVE

This pragmatic randomized trial aims to evaluate a multirisk factor intervention using a social media campaign designed with community advisers aimed at decreasing cancer risk factors among EAs. The trial will target EAs from diverse backgrounds living in rural counties in the Four Corners states of Arizona, Colorado, New Mexico, and Utah.

METHODS

We will recruit a sample of EAs (n=1000) aged 18 to 26 years residing in rural counties (Rural-Urban Continuum Codes 4 to 9) in the Four Corners states from the Qualtrics' research panel and enroll them in a randomized stepped-wedge, quasi-experimental design. The inclusion criteria include English proficiency and regular social media engagement. A social media intervention will promote guideline-related goals for increased physical activity, healthy eating, and human papillomavirus vaccination and reduced nicotine product use, alcohol intake, and solar UV radiation exposure. Campaign posts will cover digital and media literacy skills, responses to misinformation, communication with family and friends, and referral to community resources. The intervention will be delivered over 12 months in Facebook private groups and will be guided by advisory groups of community stakeholders and EAs and focus groups with EAs. The EAs will complete assessments at baseline and at 12, 26, 39, 52, and 104 weeks after randomization. Assessments will measure 6 cancer risk behaviors, theoretical mediators, and participants' engagement with the social media campaign.

RESULTS

The trial is in its start-up phase. It is being led by a steering committee. Team members are working in 3 subcommittees to optimize community engagement, the social media intervention, and the measures to be used. The Stakeholder Organization Advisory Board and Emerging Adult Advisory Board were formed and provided initial input on the priority of cancer risk factors to target, social media use by EAs, and community resources available. A framework for the social media campaign with topics, format, and theoretical mediators has been created, along with protocols for campaign management.

CONCLUSIONS

Social media can be used as a platform to counter misinformation and improve reliable health information to promote health behaviors that reduce cancer risks among EAs. Because of the popularity of web-based information sources among EAs, an innovative, multirisk factor intervention using a social media campaign has the potential to reduce their cancer risk behaviors.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05618158; https://classic.clinicaltrials.gov/ct2/show/NCT05618158.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/50392.

Racial disparities in the relationship of regional socioeconomic status and colorectal cancer survival in the five regions of Georgia

INTRODUCTION

The study's purpose was to examine 5-year colorectal cancer (CRC) survival rates between White and Black patients. We also determined whether regional socioeconomic status (SES) is associated with CRC survival between White and Black patients in the Clayton, West Central, East Central, Southeast, and Northeast Georgia public health districts.

METHODS

We performed a retrospective cohort analysis using data from the 1975 to 2016 Surveillance, Epidemiology, and End Results program. The 2015 United States Department of Agriculture Economic Research Services county typology codes were used to identify region-level SES with persistent poverty, low employment, and low education. Kaplan-Meier method and Cox proportional hazard regression were performed.

RESULTS

Among 10,876 CRC patients (31.1% Black patients), 5-year CRC survival rates were lower among Black patients compared to White patients (65.4% vs. 69.9%; p < 0.001). In multivariable analysis, White patients living in regions with persistent poverty had a 1.1-fold increased risk of CRC death (HR, 1.12; 95% CI, 1.00-1.25) compared to those living in non-persistent poverty regions. Among Black patients, those living in regions with low education were at a 1.2-fold increased risk of CRC death (HR, 1.19; 95% CI, 1.01-1.40) compared to those living in non-low education regions.

DISCUSSION AND CONCLUSIONS

Black patients demonstrated lower CRC survival rates in Georgia compared to their White counterparts. White patients living in regions with persistent poverty, and Black patients living in regions with low education had an increased risk of CRC death. Our findings provide important evidence to all relevant stakeholders in allocating health resources aimed at CRC early detection and prevention and timely referral for CRC treatment by considering the patient's regional SES in Georgia.

Exploring the role of telehealth: A novel approach to group-based smoking cessation treatment for men incarcerated in a rural state prison

INTRODUCTION

Tobacco smoking remains an important public health issue in the United States (US), specifically among people who are incarcerated. There is little to no information about smoking behaviors of incarcerated people in rural areas and there is a lack of resources for smoking cessation interventions in rural settings. Telehealth might be efficient for delivering care to incarcerated people in rural areas. The purpose of this study was to determine the feasibility of delivering group-based smoking cessation treatment via telehealth to incarcerated male smokers in a rural prison.

METHODS

A 6-week group-based smoking cessation treatment program was conducted with 1-month follow up. Video conferencing was used from Weeks 2-5 to deliver treatment. A cross-sectional survey was administered collecting measures including criminal justice experience, smoking behaviors, withdrawal and triggers, mental health, physical health, and substance use. Baseline exhaled carbon monoxide (CO) levels were collected at Session 1, and a final CO level at Session 6 and 1-month follow-up.

RESULTS

Twenty (n = 20) incarcerated male smokers were recruited from a rural prison facility. The majority of the inmates were White (85%). Approximately, 80% of the inmates smoked about 20 or more cigarettes per day, and on average smoked for 28 years (SD = 9). Most inmates scored a moderate or high dependence score on the Fagerström Test for Nicotine Dependence.

CONCLUSION

Telehealth programs such as video conferencing smoking cessation treatment ought to be implemented to reduce tobacco-related disparities among incarcerated smokers housed in rural prisons.

County-level colorectal cancer screening rates on colorectal cancer survival in the state of Georgia: Does county-level rurality matter?

PURPOSE

Investigating CRC screening rates and rurality at the county-level may explain disparities in CRC survival in Georgia. Although a few studies examined the relationship of CRC screening rates, rurality, and/or CRC outcomes, they either used an ecological study design or focused on the larger population.

METHODS

We conducted a retrospective analysis utilizing data from the 2004-2010 Surveillance, Epidemiology, and End Results Program. The 2013 United States Department of Agriculture rural-urban continuum codes and 2004-2010 National Cancer Institute small-area estimates for screening behaviors were used to identify county-level rurality and CRC screening rates. Kaplan-Meier method and Cox proportional hazard regression were performed.

RESULTS

Among 22,160 CRC patients, 5-year CRC survival rates were lower among CRC patients living in low screening areas in comparison with intermediate/high areas (69.1% vs. 71.6% /71.3%; p-value = 0.030). Patients living in rural high-screening areas also had lower survival rates compared to non-rural areas (68.2% vs. 71.8%; p-value = 0.009). Our multivariable analysis demonstrated that patients living in intermediate (HR, 0.91; 95% CI, 0.85-0.98) and high-screening (HR, 0.92; 95% CI, 0.85-0.99) areas were at 8%-9% reduced risk of CRC death. Further, non-rural CRC patients living in intermediate and high CRC screening areas were 9% (HR, 0.91; 95% CI, 0.83-0.99) and 10% (HR, 0.90; 95% CI, 0.82-0.99) less likely to die from CRC.

CONCLUSIONS

Lower 5-year survival rates were observed in low screening and rural high-screening areas. Living in intermediate/high CRC screening areas was negatively associated with the risk of CRC death. Particularly, non-rural patients living in intermediate/high-screening areas were 8%-9% less likely to die from CRC. Targeted CRC screening resources should be prioritized for low screening and rural communities.

Quality of breast surgery care at a comprehensive cancer center and its rural affiliate hospital

BACKGROUND

Cancer centers are increasingly affiliating with rural hospitals to perform surgery. Perioperative and oncologic outcomes for cancer center surgeons operating at rural hospitals are understudied.

METHODS

For patients with non-metastatic breast cancer from a rural catchment area who had oncologic surgery at an NCI-designated comprehensive cancer center (CC) or its rural affiliate (RA) from 2017 to 2022, we compared perioperative outcomes (composite of surgical site infection, seroma requiring drainage, and reoperation for margins) and receipt of guideline-concordant care (if patient received all applicable treatments) using descriptive statistics and chi-squared tests.

RESULTS

Among 168 patients, 99 had surgery at RA, 60 CC. RA patients were older, higher stage, and more often had lumpectomy. There were no differences in perioperative outcomes (CC 10%, RA 14%, p ​= ​0.445) or guideline concordant care (RA 76%, CC 78%, p ​= ​0.846).

CONCLUSIONS

Cancer center surgeons operating at a rural affiliate had comparable perioperative outcomes and guideline-concordant care.

Designing a use-error robust machine learning model for quantitative analysis of diffuse reflectance spectra

Significance

Machine learning (ML)-enabled diffuse reflectance spectroscopy (DRS) is increasingly used as an alternative to the computation-intensive inverse Monte Carlo (MCI) simulation to predict tissue's optical properties, including the absorption coefficient, μ a and reduced scattering coefficient, μ s ' .

Aim

We aim to develop a use-error-robust ML algorithm for optical property prediction from DRS spectra.

Approach

We developed a wavelength-independent regressor (WIR) to predict optical properties from DRS data. For validation, we generated 1520 simulated DRS spectra with the forward Monte Carlo model, where μ a = 0.44 to 2.45    cm - 1 , and μ s ' = 6.53 to 9.58    cm - 1 . We introduced common use-errors, such as wavelength miscalibrations and intensity fluctuations. Finally, we collected 882 experimental DRS images from 170 tissue-mimicking phantoms and compared performances of the WIR model, a dense neural network, and the MCI model.

Results

When compounding all use-errors on simulated data, the WIR model best balanced accuracy and speed, yielding errors of 1.75% for μ a and 1.53% for μ s ' , compared to the MCI's 50.9% for μ a and 24.6% for μ s ' . Regarding experimental data, WIR model had mean errors of 13.2% and 6.1% for μ a and μ s ' , respectively. The errors for MCI were about eight times higher.

Conclusions

The WIR model presents reliable use-error-robust optical property predictions from DRS data.

Effect of rurality and travel distance on contralateral prophylactic mastectomy for unilateral breast cancer

PURPOSE

Despite lack of survival benefit, demand for contralateral prophylactic mastectomy (CPM) to treat unilateral breast cancer remains high. High uptake of CPM has been demonstrated in Midwestern rural women. Greater travel distance for surgical treatment is associated with CPM. Our objective was to examine the relationship between rurality and travel distance to surgery with CPM.

METHODS

Women diagnosed with stages I-III unilateral breast cancer between 2007 and 2017 were identified using the National Cancer Database. Logistic regression was used to model likelihood of CPM based on rurality, proximity to metropolitan centers, and travel distance. A multinomial logistic regression model compared factors associated with CPM with reconstruction versus other surgical options.

RESULTS

Both rurality (OR 1.10, 95% CI 1.06-1.15 for non-metro/rural vs. metro) and travel distance (OR 1.37, 95% CI 1.33-1.41 for those who traveled 50 + miles vs. < 30 miles) were independently associated with CPM. For women who traveled 30 + miles, odds of receiving CPM were highest for non-metro/rural women (OR 1.33 for 30-49 miles, OR 1.57 for 50 + miles; reference: metro women traveling < 30 miles). Non-metro/rural women who received reconstruction were more likely to undergo CPM regardless of travel distance (ORs 1.11-1.21). Both metro and metro-adjacent women who received reconstruction were more likely to undergo CPM only if they traveled 30 + miles (ORs 1.24-1.30).

CONCLUSION

The impact of travel distance on likelihood of CPM varies by patient rurality and receipt of reconstruction. Further research is needed to understand how patient residence, travel burden, and geographic access to comprehensive cancer care services, including reconstruction, influence patient decisions regarding surgery.

Reaching adults who smoke cigarettes in rural Appalachia: Rationale, design & analysis plan for a mixed-methods study disseminating pharmacy-delivered cessation treatment

INTRODUCTION

Unlike other U.S. geographical regions, cigarette smoking prevalence remains stagnant in rural Appalachia. One avenue for reaching rural residents with evidence-based smoking cessation treatments could be utilizing community pharmacists. This paper describes the design, rationale, and analysis plan for a mixed-method study that will determine combinations of cessation treatment components that can be integrated within community pharmacies in rural Appalachia. The aim is to quantify the individual and synergistic effects of five highly disseminable and sustainable cessation components in a factorial experiment.

METHODS

This sequential, mixed-method research design, based on the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework, will use a randomized controlled trial with a 25 fully crossed factorial design (32 treatment combinations) to test, alone and in combination, the most effective evidence-based cessation components: (1) QuitAid (yes vs. no) (2) tobacco quit line (yes vs. no) (3) SmokefreeTXT (yes vs. no) (4) combination NRT lozenge + NRT patch (vs. NRT patch alone), and (5) eight weeks of NRT (vs. standard four weeks).

RESULTS

Logistic regression will model abstinence at six-months, including indicators for the five treatment factors and all two-way interactions between the treatment factors. Demographic and smoking history variables will be considered to assess potential effect modification. Poisson regression will model quit attempts and percent of adherence to treatment components as secondary outcomes.

CONCLUSION

This study will provide foundational evidence on how community pharmacies in medically underserved, rural regions can be leveraged to increase utilization of existing evidence-based tobacco cessation resources for treating tobacco dependence.

CLINICAL TRIALS

NCT05660525.

Impact of rural residence on the presentation, management and survival of patients with non-metastatic muscle-invasive bladder carcinoma

PURPOSE

To assess the impact of rural and remote residence on the receipt of guidelines-recommended treatment, quality of treatment and overall survival (OS) in patients with non-metastatic muscle-invasive bladder cancer (MIBC).

MATERIALS AND METHODS

Patients with MIBC were identified using National Cancer Database. Patients were classified into three residential areas. Logistic regression models were used to assess associations between geographic residence and receipt of radical cystectomy (RC) or chemoradiation therapy (CRT). Models were fitted to assess quality benchmarks of RC and CRT.

RESULTS

We identified 71,395 patients. Of those 58,874 (82.5%) were living in Metro areas, 8,534 (11.9%) in urban-rural adjacent (URA), and 3,987 (5.6%) in urban-rural remote to metro area (URR). URR residence was significantly associated with poor OS compared to URA and Metro residence (HR 0.87, 95% CI 0.81-0.94 and HR 0.90, 95% CI 0.87-0.93, p<0.001). There was no difference in the likelihood of receiving RC and CRT among different residential areas. Among patients who underwent RC; individuals living in URR were less likely to receive neoadjuvant chemotherapy and adequate lymph node dissection, and had a higher probability of positive surgical margin than those living in metro areas. For those who received CRT; individuals living in Metro areas were more likely to receive concomitant systemic therapy compared to URR.

CONCLUSIONS

Rural residence is associated with lower OS for MIBC patients and less likelihood of meeting quality benchmarks for RC and CRT. This data should be used to guide further health policy and allocation of resources for rural population.

Individual-level home values and cancer mortality in a statewide registry

BACKGROUND

Prior work assessing disparities in cancer outcomes has relied on regional socioeconomic metrics. These metrics average data across many individuals, resulting in a loss of granularity and confounding with other regional factors.

METHODS

Using patients' addresses at the time of diagnosis from the Ohio Cancer Incidence Surveillance System, we retrieved individual home price estimates from an online real estate marketplace. This individual-level estimate was compared with the Area Deprivation Index (ADI) at the census block group level. Multivariable Cox proportional hazards models were used to determine the relationship between home price estimates and all-cause and cancer-specific mortality.

RESULTS

A total of 667 277 patients in Ohio Cancer Incidence Surveillance System were linked to individual home prices across 16 cancers. Increasing home prices, adjusted for age, stage at diagnosis, and ADI, were associated with a decrease in the hazard of all-cause and cancer-specific mortality (hazard ratio [HR] = 0.92, 95% confidence interval [CI] = 0.92 to 0.93, and HR = 0.95, 95% CI = 0.94 to 0.95, respectively). Following a cancer diagnosis, individuals with home prices 2 standard deviations above the mean had an estimated 10-year survival probability (7.8%, 95% CI = 7.2% to 8.3%) higher than those with home prices 2 standard deviations below the mean. The association between home price and mortality was substantially more prominent for patients living in less deprived census block groups (Pinteraction < .001) than for those living in more deprived census block groups.

CONCLUSION

Higher individual home prices were associated with improved all-cause and cancer-specific mortality, even after accounting for regional measures of deprivation.

Physical Activity Among Rural Men: Barriers and Preferences

INTRODUCTION

Physical activity positively affects health. Although 94% of Americans know the health benefits of regular physical activity, more than 75% do not achieve recommended levels. The objective of our study was to identify and define the key components of a physical activity intervention tailored to rural American men.

METHODS

We recruited rural men (N = 447) via Amazon's Mechanical Turk online platform to complete a needs assessment survey focused on their interest in a physical activity intervention, preferred intervention features, and potential intervention objectives. Data were summarized by using descriptive statistics. A cumulative logistic regression model examined associations between the men's perceived importance of physical activity to health and their interest in a physical activity intervention.

RESULTS

Almost all participants (97.7%) rated physical activity as "at least somewhat important" to their health, and 83.9% indicated they would be "at least somewhat interested" in participating in a physical activity intervention. On a scale of 1 (not at all a barrier) to 5 (very much a barrier), motivation (mean 3.4; 95% CI, 3.3-3.5), cold weather (mean, 3.4; 95% CI, 3.3-3.5), and tiredness (mean, 3.3; 95% CI, 3.2-3.4) were rated the biggest barriers to physical activity. Becoming fitter (54.1%) was the top reason for joining a physical activity program. Preferred delivery channels for receiving an intervention were mobile application (ranked from 1 being the most preferred and 9 being the least preferred: mean, 2.8; 95% CI, 2.70-3.09) and e-mail (mean, 4.2; 95% CI, 3.92-4.36). Rural men preferred interventions that taught them how to exercise and that could be done from home.

CONCLUSION

Our findings suggest US men in rural areas are receptive to physical activity programs. A systematic approach and a clear model of development are needed to tailor future physical activity interventions to the special needs of rural men.

Racial and socioeconomic disparities in glioblastoma outcomes: A single-center, retrospective cohort study

BACKGROUND

Glioblastoma (GBM) is the most common malignant primary brain tumor. Emerging reports have suggested that racial and socioeconomic disparities influence the outcomes of patients with GBM. No studies to date have investigated these disparities controlling for isocitrate dehydrogenase (IDH) mutation and O-6-methylguanine-DNA methyltransferase (MGMT) status.

METHODS

Adult patients with GBM were retrospectively reviewed at a single institution from 2008 to 2019. Univariable and multivariable complete survival analyses were performed. A Cox proportional hazards model was used to assess the effect of race and socioeconomic status controlling for a priori selected variables with known relevance to survival.

RESULTS

In total, 995 patients met inclusion criteria. Of these, 117 patients (11.7%) were African American (AA). The median overall survival for the entire cohort was 14.23 months. In the multivariable model, AA patients had better survival compared with White patients (hazard ratio [HR], 0.37; 95% confidence interval [CI], 0.2-0.69). The observed survival difference was significant in both a complete case analysis model and a multiple imputations model accounting for missing molecular data and controlling for treatment and socioeconomic status. AA patients with low income (HR, 2.17; 95% CI, 1.04-4.50), public insurance (HR, 2.25; 95% CI, 1.04-4.87), or no insurance (HR, 15.63; 95% CI, 2.72-89.67) had worse survival compared with White patients with low income, public insurance, or no insurance, respectively.

CONCLUSIONS

Significant racial and socioeconomic disparities were identified after controlling for treatment, GBM genetic profile, and other variables associated with survival. Overall, AA patients demonstrated better survival. These findings may suggest the possibility of a protective genetic advantage in AA patients.

PLAIN LANGUAGE SUMMARY

To best personalize treatment for and understand the causes of glioblastoma, racial and socioeconomic influences must be examined. The authors report their experience at the O'Neal Comprehensive Cancer Center in the deep south. In this report, contemporary molecular diagnostic data are included. The authors conclude that there are significant racial and socioeconomic disparities that influence glioblastoma outcome and that African American patients do better.

Geographic disparities in access to liver transplantation

Since the Final Rule regarding transplantation was published in 1999, organ distribution policies have been implemented to reduce geographic disparity. While a recent change in liver allocation, termed acuity circles, eliminated the donor service area as a unit of distribution to decrease the geographic disparity of waitlisted patients to liver transplantation, recently published results highlight the complexity of addressing geographic disparity. From geographic variation in donor supply, as well as liver disease burden and differing model for end-stage liver disease (MELD) scores of candidates and MELD scores necessary to receive liver transplantation, to the urban-rural disparity in specialty care access, and to neighborhood deprivation (community measure of socioeconomic status) in liver transplant access, addressing disparities of access will require a multipronged approach at the patient, transplant center, and national level. Herein, we review the current knowledge of these disparities-from variation in larger (regional) to smaller (census tract or zip code) levels to the common etiologies of liver disease, which are particularly affected by these geographic boundaries. The geographic disparity in liver transplant access must balance the limited organ supply with the growing demand. We must identify patient-level factors that contribute to their geographic disparity and incorporate these findings at the transplant center level to develop targeted interventions. We must simultaneously work at the national level to standardize and share patient data (including socioeconomic status and geographic social deprivation indices) to better understand the factors that contribute to the geographic disparity. The complex interplay between organ distribution policy, referral patterns, and variable waitlisting practices with the proportion of high MELD patients and differences in potential donor supply must all be considered to create a national policy strategy to address the inequities in the system.

Disparities in cancer mortality patterns: A comprehensive examination of U.S. rural and urban adults, 1999-2020

BACKGROUND

Cancer mortality rates overall in the U.S. have decreased significantly; however, the rate of decline has not been uniform across sociodemographic groups. We aimed to compare trends in cancer mortality rates from 1999 to 2020 between rural and urban individuals and to examine whether any rural-urban differences are uniform across racial and ethnic groups.

METHODS

We used U.S.-wide data from the National Center for Health Statistics, for all cancer deaths among individuals aged 25 years or older. We estimated average annual percentage change (AAPC) in age-standardized cancer mortality rates in the U.S. by cancer type, rural-urban status, sex, and race and ethnicity.

RESULTS

There was a larger reduction in cancer mortality rates among individuals from urban (males: AAPC, -1.96%; 95% CI, -2.03, -1.90; females: AAPC, -1.56%; 95% CI, -1.64, -1.48) than rural (males: AAPC, -1.43%; 95% CI, -1.47, -1.39; females: AAPC, -0.93; 95% CI, -1.03, -0.82) areas. AAPCs for cancer types were uniformly higher among urban areas compared with rural areas. Despite overall decreases, deaths rates for liver and pancreas cancers increased, including in the most recent period among males (2012-2020, APC, 1.34; 95% CI, 0.49, 2.20) and females (2013-2020, APC, 1.52; 95% CI, 0.03, 3.02) in rural areas.

CONCLUSIONS

Cancer death rates decreased in all racial and ethnic populations; however, the rural-urban differences varied by race/ethnicity. The rate of decline in mortality rates were lower in rural areas and death rates for liver and pancreas cancers increased, particularly for individuals living in rural America.

Standardized Polyalthia longifolia leaf extract induces the apoptotic HeLa cells death via microRNA regulation: identification, validation, and therapeutic potential

Polyalthia longifolia var. angustifolia Thw. (Annonaceae), is a famous traditional medicinal plant in Asia. Ample data specifies that the medicinal plant P. longifolia has anticancer activity; however, the detailed mechanisms of action still need to be well studied. Recent studies have revealed the cytotoxicity potential of P. longifolia leaf against HeLa cells. Therefore, the current study was conducted to examine the regulation of miRNAs in HeLa cancer cells treated with the standardized P. longifolia methanolic leaf extract (PLME). The regulation of miRNAs in HeLa cancer cells treated with the standardized PLME extract was studied through Illumina, Hi-Seq. 2000 platform of Next-Generation Sequencing (NGS) and various in silico bioinformatics tools. The PLME treatment regulated a subset of miRNAs in HeLa cells. Interestingly, the PLME treatment against HeLa cancer cells identified 10 upregulated and 43 downregulated (p < 0.05) miRNAs associated with apoptosis induction. Gene ontology (GO) term analysis indicated that PLME induces cell death in HeLa cells by inducing the pro-apoptotic genes. Moreover, the downregulated oncomiRs modulated by PLME treatment in HeLa cells were identified, targeting apoptosis-related genes through gene ontology and pathway analysis. The LC-ESI-MS/MS analysis identified the presence of Vidarabine and Anandamide compounds that were previously reported to exhibit anticancer activity. The findings of this study obviously linked the cell cytotoxicity effect of PLME treatment against the HeLa cells with regulating various miRNAs expression related to apoptosis induction in the HeLa cells. PLME treatment induced apoptotic HeLa cell death mechanism by regulating multiple miRNAs. The identified miRNAs regulated by PLME may provide further insight into the mechanisms that play a critical role in cervical cancer, as well as novel ideas regarding gene therapeutic strategies.

Racial Disparity in Anthracycline-induced Cardiotoxicity in Breast Cancer Patients

Breast cancer has become the most common cancer in the US and worldwide. While advances in early detection and treatment have resulted in a 40% reduction in breast cancer mortality, this reduction has not been achieved uniformly among racial groups. A large percentage of non-metastatic breast cancer mortality is related to the cardiovascular effects of breast cancer therapies. These effects appear to be more prevalent among patients from historically marginalized racial/ethnic backgrounds, such as African American and Hispanic individuals. Anthracyclines, particularly doxorubicin and daunorubicin, are the first-line treatments for breast cancer patients. However, their use is limited by their dose-dependent and cumulative cardiotoxicity, manifested by cardiomyopathy, ischemic heart disease, arrhythmias, hypertension, thromboembolic disorders, and heart failure. Cardiotoxicity risk factors, such as genetic predisposition and preexisting obesity, diabetes, hypertension, and heart diseases, are more prevalent in racial/ethnic minorities and undoubtedly contribute to the risk. Yet, beyond these risk factors, racial/ethnic minorities also face unique challenges that contribute to disparities in the emerging field of cardio-oncology, including socioeconomic factors, food insecurity, and the inability to access healthcare providers, among others. The current review will address genetic, clinical, and social determinants that potentially contribute to this disparity.

Availability of cancer care services and the organization of care delivery at critical access hospitals

INTRODUCTION

Critical access hospitals (CAHs) provide an opportunity to meet the needs of individuals with cancer in rural areas. Two common innovative care delivery methods include the use of traveling oncologists and teleoncology. It is important to understand the availability and organization of cancer care services in CAHs due to the growing population with cancer and expected declines in oncology workforce in rural areas.

METHODS

Stratified random sampling was used to generate a sample of 50 CAHs from each of the four U.S. Census Bureau-designated regions resulting in a total sample of 200 facilities. Analyses were conducted from 135 CAH respondents to understand the availability of cancer care services and organization of cancer care across CAHs.

RESULTS

Almost all CAHs (95%) provided at least one cancer screening or diagnostic service. Forty-six percent of CAHs reported providing at least one component of cancer treatment (chemotherapy, radiation, or surgery) at their facility. CAHs that offered cancer treatment reported a wide range of health care staff involvement, including 34% of respondents reporting involvement of a local oncologist, 38% reporting involvement of a visiting oncologist, and 28% reporting involvement of a non-local oncologist using telemedicine.

CONCLUSION

Growing disparities within rural areas emphasize the importance of ensuring access to timely screening and guideline-recommended treatment for cancer in rural communities. These data demonstrated that CAHs are addressing the growing need through a variety of approaches including the use of innovative models that utilize non-local providers and telemedicine to expand access to crucial services for rural residents with cancer.

Social and racial inequalities in diabetes and cancer in the United States

Background

Cancer and diabetes are among the leading causes of morbidity and mortality worldwide. Several studies have reported diabetes as a risk factor for developing cancer, a relationship that may be explained by associated factors shared with both diseases such as age, sex, body weight, smoking, and alcohol consumption. Social factors referred to as social determinants of health (SDOH) were shown to be associated with the risk of developing cancer and diabetes. Despite that diabetes and social factors were identified as significant determinants of cancer, no studies examined their combined effect on the risk of developing cancer. In this study, we aim at filling this gap in the literature by triangulating the association between diabetes, indices of SDOH, and the risk of developing cancer.

Methods

We have conducted a quantitative study using data from the Behavioral Risk Factor Surveillance System (BRFSS), whereby information was collected nationally from residents in the United States (US) with respect to their health-related risk behaviors, chronic health conditions, and the use of preventive services. Data analysis using weighted regressions was conducted on 389,158 study participants.

Results

Our findings indicated that diabetes is a risk factor that increases the likelihood of cancer by 13% (OR 1.13; 95%CI: 1.05-1.21). People of White race had higher odds for cancer compared to African Americans (OR 0.44; 95%CI: 0.39-0.49), Asians (OR 0.27; 95%CI: 0.20-0.38), and other races (OR 0.56; 95%CI: 0.46-0.69). The indices of SDOH that were positively associated with having cancer encompassed unemployment (OR 1.78; 95%CI: 1.59-1.99), retirement (OR 1.54; 95%CI: 1.43-1.67), higher income levels with ORs ranging between 1.16-1.38, college education (OR 1.10; 95%CI: 1.02-1.18), college graduates (OR 1.31; 95%CI: 1.21-1.40), and healthcare coverage (OR 1.44; 95%CI: 1.22-1.71). On the other hand, the indices of SDOH that were protective against having cancer were comprised of renting a home (OR 0.86; 95%CI: 0.79-0.93) and never married (OR 0.73; 95%CI: 0.65-0.81).

Conclusion

This study offers a novel social dimension for the association between diabetes and cancer that could guide setting strategies for addressing social inequities in disease prevention and access to healthcare.

Management of metastatic melanoma in Texas: disparities in the utilization of immunotherapy following the regulatory approval of immune checkpoint inhibitors

BACKGROUND

The utilization of modern-immunotherapies, notably immune checkpoint inhibitors (ICIs), has increased markedly in patients with metastatic melanoma over the past decade and are recommended as standard treatment. Given their increasing adoption in routine care for melanoma, understanding patient access to immunotherapy and patterns of its use in Texas is crucial as it remains one of the few states without Medicaid expansion and with high rates of the uninsured population. The objectives of this study were to examine the trend in the utilization of immunotherapy and to determine factors associated with immunotherapy utilization among patients with metastatic melanoma in the era of ICIs in Texas.

METHODS

A retrospective cohort study was conducted using the Texas Cancer Registry (TCR) database. The cohort comprised of adult (≥ 18 years) patients with metastatic melanoma diagnosed between June 2011 and December 2018. The trend in immunotherapy utilization was assessed by determining the proportion of patients receiving immunotherapy each year. The Average Annual Percent Change (AAPC) in immunotherapy utilization was assessed using joinpoint regression, while multivariable logistic regression was used to determine the association between patient characteristics and immunotherapy receipt.

RESULTS

A total of 1,795 adult patients with metastatic melanoma were identified from the TCR. Immunotherapy utilization was higher among younger patients, those with no comorbidities, and patients with private insurance. Multivariable analysis showed that the likelihood of receipt of immunotherapy decreased with older age [(adjusted Odds Ratio (aOR), 0.92; 95% CI, 0.89- 0.93, p = 0.001], living in high poverty neighborhood (aOR, 0.52; 95% CI, 0.44 - 0.66, p < 0.0001), having Medicaid (aOR, 0.58; 95% CI, 0.44 - 0.73, p = 0.02), being uninsured (aOR, 0.49; 95% CI, 0.31 - 0.64, p = 0.01), and having comorbidities (CCI score 1: aOR, 0.48; 95% CI, 0.34 - 0.71, p = 0.003; CCI score ≥ 2: aOR, 0.32; 95% CI, 0.16 - 0.56, p < 0.0001).

CONCLUSIONS AND RELEVANCE

This cohort study identified sociodemographic and socioeconomic disparities in access to immunotherapy in Texas, highlighting the need for policies such as Medicaid expansion that would increase equitable access to this innovative therapy.

The contribution of prognostic factors to socio-demographic inequalities in breast cancer survival in Victoria, Australia

BACKGROUND

Breast cancer survival in Australia varies according to socio-economic status (SES) and between rural and urban places of residence. Part of this disparity may be due to differences in prognostic factors at the time of diagnosis.

METHODS

Women with invasive breast cancer diagnosed from 2008 until 2012 (n = 14,165) were identified from the Victorian Cancer Registry and followed up for 5 years, with death from breast cancer or other causes recorded. A prognostic score, based on stage at diagnosis, cancer grade, whether the cancer was detected via screening, reported comorbidities and age at diagnosis, was constructed for use in a mediation analysis.

RESULTS

Five-year breast cancer mortality for women with breast cancer who were in the lowest quintile of SES (10.3%) was almost double that of those in the highest quintile (5.7%). There was a small survival advantage (1.7% on average, within each socio-economic quintile) of living in inner-regional areas compared with major cities. About half of the socio-economic disparity was mediated by prognostic factors, particularly stage at diagnosis and the presence of comorbidities. The inner-regional survival advantage was not due to differences in prognostic factors.

CONCLUSIONS

Part of the socio-economic disparity in breast cancer survival could be addressed by earlier detection in, and improved general health for, more disadvantaged women. Further research is required to identify additional causes of socio-economic disparities as well as the observed inner-regional survival advantage.

Expanding population-level interventions to help more low-income smokers quit: Study protocol for a randomized controlled trial

BACKGROUND

Low-income Americans have higher rates of smoking and a greater burden of smoking-related disease. In the United States, smokers in every state can access evidence-based telephone counseling through free tobacco quitlines. However, quitlines target smokers who are ready to quit in the next 30 days, which can exclude many low-income smokers. A smoke-free homes intervention may help engage smokers in tobacco control services who are not yet ready to quit. Previous research in low-income populations suggests that receiving a smoke-free homes intervention is associated with higher quit rates. This study tests whether, at a population level, expanding on quitlines to include a smoke-free homes intervention for smokers not ready to quit could engage more low-income smokers and increase long-term cessation rates.

METHODS

In a Hybrid Type 2 design, participants are recruited from 211 helplines in 9 states and randomly assigned to standard quitline or quitline plus smoke-free homes intervention arms. Participants in both arms are initially offered quitline services. In the quitline plus smoke-free homes condition, participants who decline the quitline are then offered a smoke-free homes intervention. Participants complete a baseline and follow-up surveys at 3 and 6 months. Those who have not yet quit at the 3-month follow-up are re-offered the interventions, which differ by study arm. The primary study outcome is self-reported 7-day point prevalence abstinence from smoking at 6-month follow-up.

CONCLUSION

This real-world cessation trial involving 9 state tobacco quitlines will help inform whether offering smoke-free homes as an alternative intervention could engage more low-income smokers with evidence-based interventions and increase overall cessation rates. This study has been registered at ClinicalTrials.gov (Study Identifier: NCT04311983).

Social determinants of health and CDK4/6 inhibitor use and outcomes among patients with metastatic breast cancer

BACKGROUND

Survival outcomes in metastatic breast cancer (MBC) have improved due to novel agents such as CDK4/6 inhibitors (CDK4/6i). Nevertheless, Black patients and patients with lower socioeconomic status (SES) continue to bear a disproportionate mortality burden.

METHODS

We conducted a retrospective analysis of EHR-derived data from the Flatiron Health Database (FHD). A dataset was constructed to include Black/African-American (Black/AA) and White patients with hormone receptor (HR)-positive, HER2-negative MBC. Outcomes included CDK4/6i use (overall and first-line), and rates of leukopenia, dose reduction, and time on treatment for first-line CDK4/6i. Multivariable logistic regression was used to evaluate factors associated with use and outcomes.

RESULTS

A total of 6802 patients with MBC were included, of which 5187 (76.3%) received CDK4/6i. Of those, 3186 (61.4%) received CDK4/6i first-line. Overall, 86.7% of patients were categorized as White and 13.3% as Black/AA; 22.4% were > 75 years old; 12.6% were treated at an academic site; 3.3% had Medicaid insurance. In addition to advanced age and poorer performance status, lower use of CDK4/6i was associated with Black/AA vs White race (72.9% vs 76.8%; OR 0.83, 95% CI 0.70-0.99, p = 0.04) and Medicaid vs commercial insurance (69.6% vs 77.4%; OR: 0.68, 95% CI 0.49-0.95, p = 0.02). Odds of CDK4/6i use were twofold higher for patients treated at an academic center (p < 0.001). Rates of CDK4/6i-induced leukopenia and dose reductions did not differ significantly by race, insurance type, or treatment site. Time on CDK4/6i was significantly lower among Medicaid patients (395 days) than patients with commercial insurance (558 days) or Medicare (643 days) (p = 0.03).

CONCLUSION

This analysis of real-world data suggests that Black race and lower SES are associated with decreased CDK4/6i use. However, among patients treated with CDK4/6i, subsequent toxicity outcomes are similar. Efforts to ensure access to these life-prolonging medications are warranted.

Epidemiological trends and survival outcomes for dermatofibrosarcoma protuberans of the head and neck region

BACKGROUND

Given the rarity of dermatofibrosarcoma protuberans (DFSP) of the head and neck, the incidence and prognosis specific to this region are poorly defined. The purpose of this study was to determine epidemiology, clinicopathological characteristics, and prognostic factors of patients with DFSP of the head and neck region, using the Surveillance, Epidemiology, and End Results (SEER) database.

METHODS

A cohort analysis was performed for primary head and neck DFSP reported to the SEER database between 2000 and 2018. Overall survival was determined using Kaplan-Meier analysis while Cox regression modeling was used to examine predictive factors.

RESULTS

A total of 681 cases were reported to the SEER database between 2000 and 2018. Incidence rates decreased over time. Overall survival was 94%, and disease-specific survival was 99% at 5 years. Cases of head and neck DFSP were found to occur more frequently in males. There was no difference in incidence rates between White patients and Black patients. Age ≥ 60 years old, tumor size, and living location were the most significant predictors of overall survival.

CONCLUSIONS

This analysis of DFSP of the head and neck demonstrates a downward trend in incidence, higher age-standardized incidence in males, and similar race-based incidences, which differs from data reported on DFSP of other anatomic locations.

Subjective social status, race, and metabolic syndrome in women with breast cancer

PURPOSE

To evaluate the association of subjective social status (SSS) with metabolic syndrome (MetS) severity and its potential contribution to racial health disparities in women with breast cancer.

METHODS

Multicenter cross-sectional study (10 US hospitals) in women (n = 1206) with primary diagnosis of invasive breast cancer received during Mar/2013-Feb/2020. Participants, self-identified as non-Hispanic White or Black, underwent physical and laboratory examinations and survey questions assessing socioeconomic parameters, medical history, and behavioral risks. SSS was measured with the 10-rung MacArthur scale. MetS severity was measured with a validated Z-Score. Generalized linear mixed modeling was used to analyze the associations. Missing data were handled using multiple imputation.

RESULTS

Average age was 58 years. On average, the SSS of Black women, given equivalent level of income and education, was lower than the SSS of White women: 6.6 (6.1-7.0) vs 7.7 (7.54-7.79) among college graduates and 6.8 (6.4-7.2) vs 7.6 (7.5-7.8) among women in the high-income category (> $75,000). In multivariable analysis, after controlling for age, income, education, diet, and physical activity, increasing SSS was associated with a decrease in MetS-Z score, - 0.10 (- 0.16 to - 0.04) per every 2 rung increase in the MacArthur scale.

CONCLUSION

Black women with breast cancer rank their SSS lower than White women with breast cancer do at each level of income and education. As SSS is strongly associated with MetS severity these results identify potentially modifiable factors that contribute to racial disparities.

Differences in health care provider advice on abstaining from tobacco use: Findings from the 2020 National Youth Tobacco Survey

BACKGROUND

Health care providers' (HCP) advice on tobacco prevention and cessation is critical in addressing the tobacco use epidemic among adolescents. However, examination of whether receiving advice from HCPs differs by adolescent sociodemographic characteristics and tobacco use is limited.

METHODS

HCP advice to abstain from using tobacco was examined using the 2020 National Youth Tobacco Survey (N = 12,483). Sociodemographic (age, sex, sexual orientation, race/ethnicity, and region) and tobacco use (non-current, sole, dual/poly) differences by HCP advice were evaluated using adjusted logistic regression models.

RESULTS

Among the sample, 37.26% of adolescents received HCP advice to abstain from using tobacco products, and 31.35% received HCP advice to abstain from using e-cigarettes specifically. Adolescents who were non-Hispanic Black (vs. non-Hispanic White) were more likely not to receive HCP advice to abstain from all tobacco products (OR = 1.31, 95% CI: 1.08-1.59). Adolescents who were non-Hispanic Black (vs. non-Hispanic White) (OR = 1.41, 95% CI: 1.16-1.73) or sexual minority (vs. heterosexual) (OR = 1.16, 95% CI: 1.02-1.33) were more likely not to receive HCP advice to abstain from e-cigarettes. Adolescents who were aged 16-18 (vs. aged 9-12) (OR = 0.68, 95% CI: 0.56-0.83) or currently use dual/poly tobacco products (vs. adolescents who do not currently use tobacco) (OR = 0.56, 95% CI: 0.43-0.74) were more likely to receive HCP advice to abstain from using e-cigarettes).

CONCLUSIONS

Many U.S. adolescents do not receive HCP advice to abstain from using tobacco. HCPs should increase tobacco prevention and cessation advice across adolescent groups, particularly racial/ethnic and sexual minorities. HCP training and public health policies that improve delivery of e-cigarette advice to adolescents are essential.

Evaluation Design for The Two Georgias Initiative: Assessing Progress Toward Health Equity in the Rural South

As persistent inequities in health gained increased attention nationally due to COVID-19 and racial justice protests in 2020, it has become increasingly important to evaluate both the process and outcomes associated with coalition-based efforts to address health inequities. The Two Georgias Initiative supports coalitions in 11 rural counties to (1) achieve greater health equity, (2) improve health and health care, (3) build healthier rural communities and improve social conditions that impact the health of rural populations, and (4) build community, organizational, and individual leadership capacity for health equity. Rural communities suffer significant health disparities relative to urban areas, and also experience internal inequities by race and poverty level. The evaluation framework for The Two Georgias Initiative provides a comprehensive mixed methods approach to evaluating both processes and outcomes. Early results related to community readiness and capacity to address health inequities, measured through a coalition member survey (n = 236) conducted at the end of the planning phase, suggest coalitions were in the preparation stage, with higher levels of readiness among coalition members and organizations/groups similar to the coalition members' own, lower levels among public officials and other leaders, and the lowest levels among county residents. In addition, coalition members reported more experience with downstream drivers (e.g., access to care) of health than upstream drivers (e.g., affordable housing, environmental or racial justice). By providing a logic model, evaluation questions and associated indicators, as well as a range of data collection methods, this evaluation approach may prove practical to others aiming to evaluate their efforts to address health equity.

Cancer screening educational interventions in rural and farmworker communities: a systematic literature review

OBJECTIVES

Men and women living in rural communities of the United States (US) are less likely than those in urban or suburban communities to be up to date with cancer screenings. Delayed screening contributes to later stage at diagnosis and higher cancer mortality for individuals living in rural areas. These effects may be compounded in some rural subpopulations (e.g. migrant and seasonal farmworkers). This systematic review examines educational interventions aimed at increasing colorectal, breast, prostate, oral, and/or cervical cancer screening in the rural US, with special consideration for the farmworker subpopulation.

DESIGN

Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, our systematic literature review employed the following databases: Ovid MEDLINE, CINAHL Complete, Embase, and Web of Science. Search terms included, but were not limited to 'rural,' 'cancer screening,' 'farmworker,' and 'cancer prevention.' Eligible studies featured an educational intervention implemented in agricultural or rural US settings with a cancer screening behavioral outcome, male and/or female participants, and were published in English between 2002 and 2020. Article screening and data extraction were conducted by two independent reviewers.

RESULTS

Twenty-six articles were eligible. Of the six studies focused on the farmworker population (n=2,732), 61.75% of participants reported Hispanic ethnicity. Of the sixteen studies on unspecified rural communities reporting participant race/ethnicity (n=10,442), 39.29% reported Black/African American race. Efficacious interventions included culturally-targeted educational materials, lay health advisors (LHAs), and components that addressed practical barriers (e.g. financial or logistical).

CONCLUSION

Results demonstrate the value of LHAs and targeted education to increase screening for multiple cancer types in rural communities. Prospective research should incorporate and facilitate access to screening and provider-level and/or organizational-level interventions to increase overall impact.

ABBREVIATIONS

HPV: human papillomavirus; LHA: lay health advisors; MeSH: Medical Subject Headings; PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses; RCT: randomized controlled trial; US: United States.

Association of Rural Residence and Receipt of Guideline-Concordant Care for Locoregional Colon Cancer

BACKGROUND

Incidence and mortality rates of colon cancer (CC) are higher in rural populations. This study aimed to determine whether rural residence is associated with differences in guideline-concordant care for patients with locoregional CC.

METHODS

Patients with stages I-III CC from 2006 to 2016 were identified in the National Cancer Database. Guideline-concordant care (GCC) was defined as resection with negative margins, adequate nodal harvest, and receipt of adjuvant chemotherapy for patients with high-risk stage II or III disease. Multivariable logistic regression (MVR) was performed to evaluate the association between rural residence and the odds of receiving GCC. Effect modification was evaluated using a two-way interaction for rurality by insurance status.

RESULTS

Of 320,719 identified patients, 6191 (2%) were rural. The rural patients had lower income and lower educational status than the urban patients and were more often Medicare-insured (p < 0.001). The rural patients traveled farther (44.5 vs. 7.5 miles; p < 0.001), although time to surgery was similar (8 vs. 9 days). The two cohorts had similar resection rates (98.8% vs. 98.0%), margin positivity (5.4% vs. 4.8%), adequate lymphadenectomy (80.9% vs. 83.0%), adjuvant chemotherapy (stage III: 69.2% vs. 68.7%), and receipt of GCC (66.5% vs. 68.3%). In the MVR, the odds of receiving GCC did not differ between the rural and urban patients (odds ratio, 0.99; 95% confidence interval, 0.94-1.05%). Insurance status did not differentially influence the receipt of GCC by the rural versus the urban patients (interaction: p = 0.83).

CONCLUSIONS

Rural and urban patients with locoregional CC are equally likely to receive GCC, suggesting that differences in cancer care delivery may not explain rural-urban disparities.

Area-level Socioeconomic Disadvantage and Cancer Survival in Metropolitan Detroit

BACKGROUND

Racial segregation is linked to poorer neighborhood quality and adverse health conditions among minorities, including worse cancer outcomes. We evaluated relationships between race, neighborhood social disadvantage, and cancer survival.

METHODS

We calculated overall and cancer-specific survival for 11,367 non-Hispanic Black (NHB) and 29,481 non-Hispanic White (NHW) individuals with breast, colorectal, lung, or prostate cancer using data from the Metropolitan Detroit Cancer Surveillance System. The area deprivation index (ADI) was used to measure social disadvantage at the census block group level, where higher ADI is associated with poorer neighborhood factors. Associations between ADI and survival were estimated using Cox proportional hazards mixed-effects models accounting for geographic grouping and adjusting for demographic and clinical factors.

RESULTS

Increasing ADI quintile was associated with increased overall mortality for all four cancer sites in multivariable-adjusted models. Stratified by race, these associations remained among breast (NHW: HR = 1.16, P < 0.0001; NHB: HR = 1.20, P < 0.0001), colorectal (NHW: HR = 1.11, P < 0.0001; NHB: HR = 1.09, P = 0.00378), prostate (NHW: HR = 1.18, P < 0.0001; NHB: HR = 1.18, P < 0.0001), and lung cancers (NHW: HR = 1.06, P < 0.0001; NHB: HR = 1.07, P = 0.00177). Cancer-specific mortality estimates were similar to overall mortality. Adjustment for ADI substantially attenuated the effects of race on mortality for breast [overall proportion attenuated (OPA) = 47%, P < 0.0001; cancer-specific proportion attenuated (CSPA) = 37%, P < 0.0001] prostate cancer (OPA = 51%, P < 0.0001; CSPA = 56%, P < 0.0001), and colorectal cancer (OPA = 69%, P = 0.032; CSPA = 36%, P = 0.018).

CONCLUSIONS

Area-level socioeconomic disadvantage is related to cancer mortality in a racially diverse population, impacting racial differences in cancer mortality.

IMPACT

Understanding the role of neighborhood quality in cancer survivorship could improve community-based intervention practices.

Global, regional and national burden, incidence, and mortality of cervical cancer

AIM

Among gynecological cancers, cervical cancer is the most common cause of cancer-related death in developing countries. This study analyzes the incidence, mortality, and burden of cervical cancer using the Global Burden of Disease (GBD) 2019 study.

MATERIALS AND METHODS

The GBD (2019) data on cervical cancer was extracted from the Global Health Data Exchange (GHDx) query tool. Age-standardized rate (ASR) incidence, deaths, lost years of life (YLLs), years of life with disabilities (YLDs), and adjusted years of life with disabilities (DALYs) of cervical cancer in women were extracted. Data were extracted globally for 204 countries and groups based on a socio-demographic index (SDI), World Health Organization (WHO) regions, continents, World Bank regions, and 22 GBD regions.

RESULTS

The higher standardized age incidence of cervical cancer is in lower SDI countries, Africa, the African region (According to the WHO), and Sub-Saharan Africa (According to GBD regions). The highest deaths of ASR is in countries with low SDI, low-income group, Africa, the African region (According to the World Health Organization), and Sub-Saharan Africa (According to GBD regions). According to SDI classification, the highest DALYs ASR is in low SDI countries, World Bank Low-income countries, African and then American continents, African region, Sub-Saharan Africa, and then Latin America & Caribbean-WB (Based on GBD regions).

CONCLUSION

In 2019, incidence, mortality, and DALYs of cervical cancer mostly affected countries with lower socioeconomic status. Given that cervical cancer is highly preventable, access to screening services and the presence of trained and knowledgeable health care staff can reduce illness, suffering, and death caused by this malignancy. It is recommended to use the national and international potentials to reduce the incidence of this malignancy.

Effect of residence in nonmetropolitan counties on stage and tumor size at diagnosis in patients with breast cancer: A Surveillance, Epidemiology, and End Results analysis

OBJECTIVE

The aim of this study was to assess the influence of residence in nonmetropolitan versus metropolitan counties on stage and tumor size at diagnosis in patients with breast cancer in the United States.

METHODS

Women with a primary diagnosis of breast cancer between 2010 and 2015 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Logistic regression was used to model the effect of residence in nonmetropolitan counties on cancer stage and tumor size, adjusted for age, marital status, and 2 county-level socioeconomic variables.

RESULTS

The final sample included 267,691 patients. More patients were diagnosed at advanced stages (III-IV vs I-II: 51.11% vs 50.21%) and with larger tumors (>2 cm vs < = 2 cm: 47.62% vs 46.77%) in nonmetropolitan counties. After adjustment, residence in nonmetro counties was not associated with advanced stage at diagnosis (OR = 0.987; 95% CI: 0.959-1.015) or tumor size >2 cm at diagnosis (OR = 0.997; 95% CI: 0.969-1.026). In stratified analysis by race/ethnicity, however, non-Hispanic White patients in nonmetropolitan counties were significantly more likely to have an advanced stage (OR = 1.035, 95% CI: 1.003-1.068) and tumor sizes >2 cm (OR = 1.051; 95% CI: 1.018-1.084) at diagnosis.

CONCLUSIONS

Residence in nonmetropolitan counties in the United States was not associated with advanced stage or tumor size >2 cm at diagnosis in cases of breast cancer, compared to the residence in metropolitan counties. However, among non-Hispanic White females, residence in nonmetropolitan counties was associated with significantly higher odds of having an advanced stage and a tumor size >2 cm at diagnosis.

Population-based temporal trends and ethnic disparity in breast cancer mortality in South Africa (1999-2018): Joinpoint and age-period-cohort regression analyses

Globally, breast cancer is the leading cause of cancer deaths, accounting for 15.5% of female cancer deaths in 2020. Breast cancer is also the leading cause of female cancers in South Africa. The rapid epidemiological transition in South Africa may have an impact on the trends in breast cancer mortality in the country. We therefore evaluated the trends in the breast cancer mortality in SA over 20 years (1999-2020).

Methods

Joinpoint regression analyses of the trends in crude and age-standardized mortality rates (ASMR) of breast cancer among South African women were conducted from 1999 to 2018 using mortality data from Statistics South Africa. Age-period-cohort regression analysis was then conducted to evaluate the independent effect of age, period, and cohort on breast cancer mortality, and analysis was stratified by ethnicity.

Results

The mortality rate of breast cancer (from 9.82 to 13.27 per 100,000 women) increased at around 1.4% per annum (Average Annual Percent Change (AAPC): 1.4%, 95% CI:0.8-2.0, P-value< 0.001). Young women aged 30-49 years (1.1%-1.8%, P-value< 0.001) had increased breast cancer mortality. The risk of breast cancer mortality increased among successive birth cohorts from 1924 to 1928 but decreased among recent cohorts born from 1989 to 1993. In 2018, the breast cancer mortality rate among Blacks (9.49/100,000 women) was around half of the rates among the non-Blacks. (Coloreds: 18.11 per 100,000 women; Whites: 17.77/100,000 women; Indian/Asian: 13.24 per 100,000 women).

Conclusions

Contrary to the trends in high- and middle-income countries, breast cancer mortality increased in South Africa especially among young women. Breast cancer prevention programs should be intensified and should also target young women. The marked disparity in ethnic burden of breast cancer should be considered during planning and implementation of interventions.

Adaptation of a Personalized Electronic Care Planning Tool for Cancer Follow-up Care: Formative Study

BACKGROUND

Most patients diagnosed with colorectal cancer will survive for at least 5 years; thus, engaging patients to optimize their health will likely improve outcomes. Clinical guidelines recommend patients receive a comprehensive care plan (CP) when transitioning from active treatment to survivorship, which includes support for ongoing symptoms and recommended healthy behaviors. Yet, cancer care providers find this guideline difficult to implement. Future directions for survivorship care planning include enhancing information technology support for developing personalized CPs, using CPs to facilitate self-management, and assessing CPs in clinical settings.

OBJECTIVE

We aimed to develop an electronic tool for colorectal cancer follow-up care (CFC) planning.

METHODS

Incorporating inputs from health care professionals and patient stakeholders is fundamental to the successful integration of any tool into the clinical workflow. Thus, we followed the Integrate, Design, Assess, and Share (IDEAS) framework to adapt an existing application for stroke care planning (COMPASS-CP) to meet the needs of colorectal cancer survivors (COMPASS-CP CFC). Constructs from the Consolidated Framework for Implementation Research (CFIR) guided our approach. We completed this work in 3 phases: (1) gathering qualitative feedback from stakeholders about the follow-up CP generation design and workflow; (2) adapting algorithms and resource data sources needed to generate a follow-up CP; and (3) optimizing the usability of the adapted prototype of COMPASS-CP CFC. We also quantitatively measured usability (target average score ≥70; range 0-100), acceptability, appropriateness, and feasibility.

RESULTS

In the first phase, health care professionals (n=7), and patients and caregivers (n=7) provided qualitative feedback on COMPASS-CP CFC that informed design elements such as selection, interpretation, and clinical usefulness of patient-reported measures. In phase 2, we built a minimal viable product of COMPASS-CP CFC. This tool generated CPs based on the needs identified by patient-completed measures (including validated patient-reported outcomes) and electronic health record data, which were then matched with resources by zip code and preference to support patients' self-management. Elements of the CFIR assessed revealed that most health care professionals believed the tool would serve patients' needs and had advantages. In phase 3, the average System Usability Scale score was above our target score for health care professionals (n=5; mean 71.0, SD 15.2) and patients (n=5; mean 95.5, SD 2.1). Participants also reported high levels of acceptability, appropriateness, and feasibility. Additional CFIR-informed feedback, such as desired format for training, will inform future studies.

CONCLUSIONS

The data collected in this study support the initial usability of COMPASS-CP CFC and will inform the next steps for implementation in clinical care. COMPASS-CP CFC has the potential to streamline the implementation of personalized CFC planning to enable systematic access to resources that will support self-management. Future research is needed to test the impact of COMPASS-CP CFC on patient health outcomes.

Investigation of racial differences in survival from non-small cell lung cancer with immunotherapy use: A Texas study

Background

The use of immunotherapy is associated with improved survival among patients with Non-Small Cell Lung Cancer (NSCLC) and has gained widespread use in its management. However, there is limited information on whether the survival benefits associated with immunotherapy differ among races and ethnicities.

Objective

This study aimed to investigate racial differences in survival amongst patients with NSCLC who received immunotherapy as the first-line treatment in Texas.

Methods

Patients with NSCLC who received immunotherapy between October 2015 to December 2018 were identified from the Texas Cancer Registry (TCR). Disease-specific survival was evaluated and compared among patients across racial/ethnic categories using the Kaplan-Meier survival analysis, log-rank test, and a multivariable Cox proportional hazard regression model following an inverse probability treatment weighting (IPTW) propensity score analysis.

Results

A total of 1453 patients were included in the analysis. Median survival (in months) was longest among Asians (34, 95% CI: 15-Not Estimable), followed by African Americans (AAs) (23, 95% CI: 15-34), Hispanics (22, 95% CI: 16-26), and Whites (19, 95% CI: 17-22). The adjusted regression estimates had no statistically significant differences in survival among AAs (aHR = 0.97; 95% CI = 0.78-1.20; P =0.77) and Hispanics (aHR = 0.96; 95% CI = 0.77-1.19, P =0.73) when compared to White patients. Asians on the other hand, had 40% reduction in mortality risk compared to Whites (aHR = 0.60; 95% CI = 0.39-0.94, P = 0.03).

Conclusions

Our study indicated that African Americans and Hispanics do not have poorer survival compared to White patients when receiving immunotherapy as first-line treatment. Asians however had longer survival compared to Whites. Our findings suggest that existing racial disparity in NSCLC survival might be mitigated with the use of immunotherapy and should be considered in providing care to these minority groups.