Treatment and survival disparities in lung cancer: the effect of social environment and place of residence

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

INTRODUCTION

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

METHODS

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

RESULTS

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

CONCLUSION

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

Treatment Outcomes From Erlotinib and Gefitinib in Advanced Epidermal Growth Factor Receptor-Mutated Nonsquamous Non-Small Cell Lung Cancer in Aotearoa New Zealand From 2010 to 2020: Nationwide Whole-of-Patient-Population Retrospective Cohort Study

Background

Health care system-wide outcomes from routine treatment with erlotinib and gefitinib are incompletely understood.

Objective

The aim of the study is to describe the effectiveness of erlotinib and gefitinib during the first decade of their routine use for treating advanced epidermal growth factor receptor (EGFR) mutation-positive nonsquamous non-small cell lung cancer in the entire cohort of patients treated in Aotearoa New Zealand.

Methods

Patients were identified, and data collated from national pharmaceutical dispensing, cancer registration, and mortality registration electronic databases by deterministic data linkage using National Health Index numbers. Time-to-treatment discontinuation and overall survival were measured from the date of first dispensing of erlotinib or gefitinib and analyzed by Kaplan-Meier curves. Associations of treatment outcomes with baseline factors were evaluated using univariable and multivariable Cox regressions.

Results

Overall, 752 patients were included who started treatment with erlotinib (n=418) or gefitinib (n=334) before October 2020. Median time-to-treatment discontinuation was 11.6 (95% CI 10.8-12.4) months, and median overall survival was 20.1 (95% CI 18.1-21.6) months. Shorter time-to-treatment discontinuation was independently associated with high socioeconomic deprivation (hazard ratio [HR] 1.3, 95% CI 1.1-1.5 compared to the New Zealand Index of Deprivation 1-4 group), EGFR L858R mutations (HR 1.3, 95% CI 1.1-1.6 compared to exon 19 deletion), and distant disease at cancer diagnosis (HR 1.4, 95% CI 1.2-1.7 compared to localized or regional disease). The same factors were independently associated with shorter overall survival. Outcome estimates and predictors remained unchanged in sensitivity analyses.

Conclusions

Outcomes from routine treatment with erlotinib and gefitinib in New Zealand patients with advanced EGFR-mutant nonsquamous non-small cell lung cancer are comparable with those reported in randomized trials and other health care system-wide retrospective cohort studies. Socioeconomic status, EGFR mutation subtype, and disease extent at cancer diagnosis were independent predictors of treatment outcomes in that setting.

Quality of Treatment Selection for Medicare Beneficiaries With Cancer

PURPOSE

The Medicare part D Low-Income Subsidy (LIS) improves access to oral cancer drugs, but provides no assistance for clinician-administered/part B drugs. This analysis assessed the association between LIS participation and receipt of optimal cancer treatment.

METHODS

We investigated initial systemic therapy using SEER-Medicare data (2015-2017) and National Comprehensive Cancer Network (NCCN) Evidence Blocks (EB) as the standard for treatment recommendations. We included cancer clinical scenarios wherein (1) ≥one treatment was optimal (higher efficacy and safety scores) versus other treatments; (2) identifiable in SEER-Medicare (eg, not defined by clinical data unavailable in registry data or claims); and (3) both EB and ASCO Value Framework agreed regarding optimal treatment. We fit logistic regression models to assess the association between receipt of systemic therapy (v no therapy) and patient and provider characteristics. Contingent on receipt of treatment, we modeled the likelihood of receiving a treatment ranked (by EB scores) within the highest or lowest quartile for that cancer type.

RESULTS

Nine thousand two hundred and ninety patients were included across 11 clinical scenarios. Fifty-seven percent (5,336) of patients received any systemic therapy and 43% (3,954) received no systemic therapy. Compared with non-LIS participants, LIS participants were less likely to receive any systemic therapy versus no systemic therapy (odds ratio, 0.64 [95% CI, 0.57 to 0.72]). Contingent on receiving systemic therapy, LIS participants received treatment ranked within the worst quartile 24.8% of the time, compared with 21.9% of non-LIS patients (adjusted prevalence difference, 4.3% [95% CI, 0.5 to 8.2]).

CONCLUSION

LIS participants were less likely to receive systemic therapy at all and were more likely to receive treatments that receive low NCCN EB scores.

Impact of Medicaid expansion on stage of diagnosis of lung cancer for rural and urban patients in New Hampshire

PURPOSE

This study examines the impact of Medicaid expansion under the Affordable Care Act on the stage of lung cancer diagnosis among rural and urban patients in New Hampshire.

METHODS

Data from the New Hampshire State Cancer Registry spanning 2010-2019 were analyzed to compare lung cancer diagnosis stages before and after the July 2014 Medicaid expansion. Rural-urban categorization utilized Rural-Urban Continuum Codes, and logistic regression with difference-in-difference analysis assessed the differential effects of Medicaid expansion on late-stage diagnoses between rural and urban patients.

FINDINGS

Post-expansion, there was a significant decrease in the proportion of late-stage lung cancer diagnoses statewide. Rural patients initially had higher rates of late-stage diagnoses compared to urban patients, but post-expansion, this disparity diminished significantly. Logistic regression indicated reduced odds of late-stage diagnosis among rural patients after expansion (OR = 0.719, P =  .035), demonstrating a greater benefit in rural areas.

CONCLUSIONS

Medicaid expansion in New Hampshire was associated with a substantial reduction in late-stage lung cancer diagnoses, particularly benefiting rural patients who historically faced higher barriers to health care access. These findings underscore the potential of Medicaid expansion to mitigate rural-urban disparities in cancer care outcomes.

Impact of Socioeconomic Deprivation on Care Quality and Surgical Outcomes for Early-Stage Non-Small Cell Lung Cancer in United States Veterans

Background: Socioeconomic deprivation has been associated with higher lung cancer risk and mortality in non-Veteran populations. However, the impact of socioeconomic deprivation on outcomes for non-small cell lung cancer (NSCLC) in an integrated and equal-access healthcare system, such as the Veterans Health Administration (VHA), remains unclear. Hence, we investigated the impact of area-level socioeconomic deprivation on access to care and postoperative outcomes for early-stage NSCLC in United States Veterans. Methods: We conducted a retrospective cohort study of patients with clinical stage I NSCLC receiving surgical treatment in the VHA between 1 October 2006 and 30 September 2016. A total of 9704 Veterans were included in the study and assigned an area deprivation index (ADI) score, a measure of socioeconomic deprivation incorporating multiple poverty, education, housing, and employment indicators. We used multivariable analyses to evaluate the relationship between ADI and postoperative outcomes as well as adherence to guideline-concordant care quality measures (QMs) for stage I NSCLC in the preoperative (positron emission tomography [PET] imaging, appropriate smoking management, pulmonary function testing [PFT], and timely surgery [≤12 weeks after diagnosis]) and postoperative periods (appropriate surveillance imaging, smoking management, and oncology referral). Results: Compared to Veterans with low socioeconomic deprivation (ADI ≤ 50), those residing in areas with high socioeconomic deprivation (ADI > 75) were less likely to have timely surgery (multivariable-adjusted odds ratio [aOR] 0.832, 95% confidence interval [CI] 0.732-0.945) and receive PET imaging (aOR 0.592, 95% CI 0.502-0.698) and PFT (aOR 0.816, 95% CI 0.694-0.959) prior to surgery. In the postoperative period, Veterans with high socioeconomic deprivation had an increased risk of 30-day readmission (aOR 1.380, 95% CI 1.103-1.726) and decreased odds of meeting all postoperative care QMs (aOR 0.856, 95% CI 0.750-0.978) compared to those with low socioeconomic deprivation. There was no association between ADI and overall survival (adjusted hazard ratio [aHR] 0.984, 95% CI 0.911-1.062) or cumulative incidence of cancer recurrence (aHR 1.047, 95% CI 0.930-1.179). Conclusions: Our results suggest that Veterans with high socioeconomic deprivation have suboptimal adherence to care QMs for stage I NSCLC yet do not have inferior long-term outcomes after curative-intent resection. Collectively, these findings demonstrate the efficacy of an integrated, equal-access healthcare system in mitigating disparities in lung cancer survival that are frequently present in other populations. Future VHA policies should continue to target increasing adherence to QMs and reducing postoperative readmission for socioeconomically disadvantaged Veterans with early-stage NSCLC.

Probabilistic bias analysis for exposure misclassification of household income by neighbourhood in a cohort of individuals with colorectal cancer

INTRODUCTION

Despite poor agreement, neighbourhood income is used as a proxy for household income, due to a lack of data availability. We quantified misclassification between household and neighbourhood income and demonstrate quantitative bias analysis (QBA) in scenarios where only neighbourhood income is available in assessing income inequalities on colorectal cancer mortality.

METHODS

This was a retrospective study of adults with colorectal cancer diagnosed 2006-14 from Statistics Canada's Canadian Census Health and Environment Cohort. Neighbourhood income quintiles from Statistics Canada were used. Census household income quintiles were used to determine bias parameters and confirm results of the QBA. We calculated positive and negative predictive values using multinomial models, adjusting for age, sex and rural residence. Probabilistic QBA was conducted to explore the implication of exposure misclassification when estimating the effect of income on 5-year mortality.

RESULTS

We found poor agreement between neighbourhood and household income: positive predictive values ranged from 21% to 37%. The bias-adjusted risk of neighbourhood income on 5-year mortality was similar to the risk of mortality by household income. The bias-adjusted relative risk of the lowest income quintile compared with the highest was 1.42 [95% simulation interval (SI) 1.32-1.53] compared with 1.46 [95% confidence interval (CI) 1.39-1.54] for household income and 1.18 (95% CI 1.12-1.24) for neighbourhood income.

CONCLUSION

QBA can be used to estimate adjusted effects of neighbourhood income on mortality which represent household income. The predictive values from our study can be applied to similar cohorts with only neighbourhood income to estimate the effects of household income on cancer mortality.

Epidemiological Study of Adenoid Cystic Carcinoma and Its Outcomes: Insights from the Surveillance, Epidemiology, and End Results (SEER) Database

OBJECTIVE

Adenoid cystic carcinoma (ACC) is a rare malignant tumor that mainly arises in the head and neck area. We aimed to compare the long-term survival of patients with ACC based on their geographic regions within the United States using the Surveillance, Epidemiology, and End Results (SEER) registry data.

METHODS

We queried the SEER database to evaluate the geographic distribution of ACC patients based on inpatient admissions. The states included in the study were divided into four geographical regions (Midwest, Northeast, South, and West) based on the U.S. Census Bureau-designated regions and divisions. Demographic and clinical variables were compared between the groups. Kaplan-Meier curves and Cox regression were used to assess late mortality.

RESULTS

A total of 5150 patients were included (4.2% from the Midwest, 17.2% from the Northeast, 22.5% from the South, and 56.1% from the West regions). The median follow-up was 12.3 (95% CI: 11.6-13.1 years). Median overall survival was 11.0 (95% CI: 9.2-NR years), 14.3 (95% CI: 12.4-16.4 years), 11.3 (95% CI: 9.7-14.8 years), and 12.0 (95% CI: 11.3-13.0 years) for Midwest, Northeast, South, and West regions, respectively. In multivariable analysis, older age, male sex, thoracic cancer, the presence of regional and distal disease, receiving chemotherapy, not undergoing surgical resection, and being treated in the West vs. Northeast region were found to be independent predictors of poor survival. We identified a significant survival difference between the different regions, with the West exhibiting the worst survival compared to the Northeast region.

CONCLUSIONS

In addition to the well-known predictors of late mortality in ACC (tumor location, stage, and treatment modalities), our study identified a lack of social support (being unmarried) and geographic location (West region) as independent predictors of late mortality in multivariable analysis. Further research is needed to explore the causal relationships.

Investigating socioeconomic disparities in lung cancer diagnosis, treatment and mortality: an Italian cohort study

BACKGROUND

Lung cancer is one of the most lethal cancers worldwide and patient clinical outcomes seem influenced by their socioeconomic position (SEP). Since little has been investigated on this topic in the Italian context, our aim was to investigate the role of SEP in the care pathway of lung cancer patients in terms of diagnosis, treatment and mortality.

METHODS

This observational retrospective cohort study included patients discharged in the Lazio Region with a lung cancer diagnosis between 2014 and 2017. In the main analysis, educational level was used as SEP measure. Multivariate models, adjusted for demographic and clinical variables, were applied to evaluate the association between SEP and study outcomes, stratified for metastatic (M) and non-metastatic (NM) cancer. We defined a diagnosis as 'delayed' when patients received their initial cancer diagnosis after an emergency department admission. Access to advanced lung cancer treatments (high-cost, novel and innovative treatments) and mortality were investigated within the 24-month period post-diagnosis. Moreover, two additional indicators of SEP were examined in the sensitivity analysis: one focusing on area deprivation and the other on income-based exemption.

RESULTS

A total of 13,251 patients were identified (37.3% with metastasis). The majority were males (> 60%) and over half were older than 70 years. The distribution of SEP levels among patients was as follow: 31% low, 29% medium-low, 32% medium-high and 7% high. As SEP increased, the risks of receiving a delayed diagnosis ((high vs low: M: OR = 0.29 (0.23-0.38), NM: OR = 0.20 (0.16-0.25)) and of mortality ((high vs low M: OR = 0.77 (0.68-0.88) and NM: 0.61 (0.54-0.69)) decreased. Access to advanced lung cancer treatments increased in accordance with SEP only in the M cohort (high vs low: M: OR = 1.57 (1.18-2.09)). The primary findings were corroborated by sensitivity analysis.

CONCLUSIONS

Our study highlighted the need of public health preventive and educational programs in Italy, a country where the care pathway of lung cancer patients, especially in terms of diagnosis and mortality, appears to be negatively affected by SEP level.

Disparity of the Treatment of Unresectable Non-small Cell Lung Cancer Regarding Chemotherapy: A Systematic Review and Meta-Analysis

This study investigates disparities in chemotherapy treatment for unresectable non-small cell lung cancer (NSCLC) between urban and rural populations. Despite advancements in NSCLC treatments enhancing survival, significant inequities persist, notably in rural areas where access to care is often limited, resulting in poorer outcomes. Through a systematic review and meta-analysis, we analyzed data from selected studies that compare chemotherapy access and usage between these populations from 2010 to 2024. Our findings indicate that rural patients are consistently less likely to receive advanced chemotherapy treatments than urban counterparts, with a pooled odds ratio of 0.91 (95% confidence interval (CI): 0.83-1.00), suggesting a marginal but noticeable disparity. This highlights a crucial gap in healthcare provision, underscoring the need for policy interventions and improved healthcare practices to ensure equitable treatment access. This research calls for further investigation into socioeconomic and cultural factors contributing to these disparities to inform targeted improvement strategies.

Area-based disparities in non-small-cell lung cancer survival

BACKGROUND

In the Nordic countries, universal healthcare access has been effective in reducing socioeconomic disparities in non-small-cell lung cancer (NSCLC) management. However, other factors, such as proximity to healthcare facilities, may still affect access to care. This study aimed at investigating the influence of residential area on NSCLC survival.

METHODS

This population-based study utilized hospital records to identify NSCLC patients who underwent their initial treatment at Vaasa Central Hospital between January 1, 2016, and December 31, 2020. Patients were categorized based on their postal codes into urban areas (≤50 km from the hospital) and rural areas (>50 km from the hospital). Survival rates between these two groups were compared using Cox regression analysis.

RESULTS

A total of 321 patients were included in the study. Patients residing in rural areas (n = 104) exhibited poorer 12-month survival rates compared to their urban counterparts (n = 217) (unadjusted Hazard Ratio [HR]: 1.38; 95% Confidence Interval [CI]: 1.01-1.89; p = 0.042). After adjusting for factors such as performance status, frailty, and stage at diagnosis in a multivariate Cox regression model, the adjusted HR increased to 1.47 (95% CI: 1.07-2.01; p = 0.017) for patients living in rural areas compared to those in urban areas.

INTERPRETATION

The study findings indicate that the distance to the hospital is associated with increased lung cancer mortality. This suggests that geographical proximity may play a crucial role in the disparities observed in NSCLC survival rates. Addressing these disparities should involve strategies aimed at improving healthcare accessibility, particularly for patients residing in rural areas, to enhance NSCLC outcomes and reduce mortality.

Socioeconomic Deprivation and Health Care Use in Patients Enrolled in SWOG Cancer Clinical Trials

Importance

Reducing acute care use is an important strategy for improving value. Patients with cancer are at risk for unplanned emergency department (ED) visits and hospital stays (HS). Clinical trial patients have homogeneous treatment; despite this, structural barriers to care may independently impact acute care use.

Objective

To examine whether ED visits and HS within 12 months of trial enrollment are more common among Medicare enrollees who live in areas of socioeconomic deprivation or have Medicaid insurance.

Design, Setting, and Participants

This cohort study included patients with cancer who were 65 years or older and treated in SWOG Cancer Research Network trials from 1999 to 2018 using data linked to Medicare claims. Data were collected from 1999 to 2019 and analyzed from 2022 to 2024.

Main Outcomes and Measures

Outcomes were ED visits, HS, and costs in the first year following enrollment. Neighborhood socioeconomic deprivation was measured using patients' zip code linked to the Area Deprivation Index (ADI), measured on a 0 to 100 scale for increasing deprivation and categorized into tertiles (T1 to T3). Type of insurance was classified as Medicare with or without commercial insurance vs dual Medicare and Medicaid. Demographic, clinical, and prognostic factors were captured from trial records. Multivariable regression was used, and the association of ADI and insurance with each outcome was considered separately.

Results

In total, 3027 trial participants were analyzed. The median (range) age was 71 (65-98) years, 1280 (32.3%) were female, 221 (7.3%) were Black patients, 2717 (89.8%) were White patients, 90 (3.0%) had Medicare and Medicaid insurance, and 660 (22.3%) were in the areas of highest deprivation (ADI-T3). In all, 1094 patients (36.1%) had an ED visit and 983 patients (32.4%) had an HS. In multivariable generalized estimating equation, patients living in areas categorized as ADI-T3 were more likely to have an ED visit (OR, 1.34; 95% CI, 1.10-1.62; P = .004). A similar but nonsignificant pattern was observed for HS (OR, 1.36; 95% CI, 0.96-1.93; P = .08). Patients from areas with the highest deprivation had a 62% increase in risk of either an ED visit or HS (OR, 1.62; 95% CI, 1.25-2.09; P < .001). Patients with Medicare and Medicaid were 96% more likely to have an ED visit (OR, 1.96; 95% CI, 1.56-2.46; P < .001).

Conclusions and Relevance

In this cohort of older patients enrolled in clinical trials, neighborhood deprivation and economic disadvantage were associated with an increase in ED visits and HS. Efforts are needed to ensure adequate resources to prevent unplanned use of acute care in socioeconomically vulnerable populations.

Strengths and opportunities to clinical trial enrollment among BIPOC, rural dwelling patients in the northwest United States: a retrospective study

Introduction: Clinical trials investigating the safety and efficacy of experimental drugs and devices are the cornerstone of medicinal advancement. Enrolling sufficient participants in these trials is vital to ensure adequate statistical power and generalizability. Clinical trial participation is particularly low among certain populations, including medically underserved communities (i.e., rural areas) and Black, Indigenous, and People of Color (BIPOC). Methods: A retrospective study design was used to understand patient outcomes and access/barriers to clinical trial participation in the rural northwest United States. A quantitatively focused retrospective chart review was conducted for adult participants enrolled in at least one clinical trial in a single northwest health system between 1999 and 2022. Descriptive and inferential statistical analyses were performed to assess trial outcomes at a significance level 0.05. Results: The retrospective chart review yielded 833 clinical trial records with 753 individual enrolled participants. The all-cause relative frequency of death at last known follow-up amongst clinical trial participants was 8.90% (n = 67). Based on logistic regression, the death was significantly associated with the participants' age at initial trial screening (β = 0.09, p-value <0.001), those that resided in non-metro areas (β = -0.86, p-value = 0.045), and those that lived in Northeastern Montana (β = 1.27, p-value = 0.025). Additionally, death at last known follow-up was significantly associated with enrollment in 2021-2022 (β = -1.52, p-value <0.001), enrolled in more than one study (β = 0.84, p-value = 0.023), in internationally sponsored trials (β = -2.08, p-value <0.001), in Phase I (β = 5.34, p-value <0.001), in Phase II trials (β = 1.37, p-value = 0.013), diabetes as a primary trial target (β = -2.04, p-value = 0.003). Conclusion: As decentralized trial design and remote or virtual elements of traditional trials become normative, representation of rural and frontier populations is imperative to support the generalizability of trial data encouraged by the FDA.

Social Deprivation and End-of-Life Care Use Among Adults With Cancer

PURPOSE

Socioeconomic differences are partially responsible for racial inequities in cancer outcomes, yet the association of area-level socioeconomic disadvantage and race with end-of-life (EOL) cancer care quality is poorly understood.

METHODS

This retrospective study used electronic medical records from an academic health system to identify 33,635 adults with cancer who died between 2013 and 2019. Using multivariable logistic regression, we examined associations between decedent characteristics and EOL care, including emergency department (ED) visits, intensive care unit (ICU) stays, palliative care consultation (PCC), hospice order, and in-hospital deaths. Social deprivation index was used to measure socioeconomic disadvantages.

RESULTS

Racially minoritized decedents had higher odds of ICU stay than the least deprived White decedents (eg, other race Q3: aOR, 2.06 [99% CI, 1.26 to 0.3.39]). White and Black decedents from more deprived areas had lower odds of ED visit (White Q3: aOR, 0.382 [99% CI, 0.263 to 0.556]; Black Q3: aOR, 0.566 [99% CI, 0.373 to 0.858]) than least deprived White decedents. Compared with White decedents living in least deprived areas, racially minoritized decedents had higher odds of receiving PCC and hospice order, whereas White decedents in most deprived areas had lower odds of PCC (aOR, 0.727 [99% CI, 0.592 to 0.893]) and hospice order (aOR, 0.845 [99% CI, 0.724 to 0.986]). Greater deprivation was associated with greater odds of hospital death relative to least deprived White decedents, but only among minoritized decedents (eg, Black Q4: aOR, 2.16 [99% CI, 1.82 to 2.56]).

CONCLUSION

Area-level socioeconomic disadvantage is not uniformly associated with poorer EOL cancer care, with differences among decedents of different racial groups.

Liquid Biopsy as an Adjunct to Lung Screening Imaging

Current lung cancer screening protocols use low-dose computed tomography scans in selected high-risk individuals. Unfortunately, utilization is low, and the rate of false-positive screens is high. Peripheral biomarkers carry meaningful promise in diagnosing and monitoring cancer with added potential advantages reducing invasive procedures and improving turnaround time. Herein, the use of such blood-based assays is considered as an adjunct to further utilization and accuracy of lung cancer screening.

Representativeness of Patients Enrolled in the Lung Cancer Master Protocol (Lung-MAP)

PURPOSE

Lung Cancer Master Protocol (Lung-MAP), a public-private partnership, established infrastructure for conducting a biomarker-driven master protocol in molecularly targeted therapies. We compared characteristics of patients enrolled in Lung-MAP with those of patients in advanced non-small-cell lung cancer (NSCLC) trials to examine if master protocols improve trial access.

METHODS

We examined patients enrolled in Lung-MAP (2014-2020) according to sociodemographic characteristics. Proportions for characteristics were compared with those for a set of advanced NSCLC trials (2001-2020) and the US advanced NSCLC population using SEER registry data (2014-2018). Characteristics of patients enrolled in Lung-MAP treatment substudies were examined in subgroup analysis. Two-sided tests of proportions at an alpha of .01 were used for all comparisons.

RESULTS

A total of 3,556 patients enrolled in Lung-MAP were compared with 2,215 patients enrolled in other NSCLC studies. Patients enrolled in Lung-MAP were more likely to be 65 years and older (57.2% v 46.3%; P < .0001), from rural areas (17.3% v 14.4%; P = .004), and from socioeconomically deprived neighborhoods (42.2% v 36.7%, P < .0001), but less likely to be female (38.6% v 47.2%; P < .0001), Asian (2.8% v 5.1%; P < .0001), or Hispanic (2.4% v 3.8%; P = .003). Among patients younger than 65 years, Lung-MAP enrolled more patients using Medicaid/no insurance (27.6% v 17.8%; P < .0001). Compared with the US advanced NSCLC population, Lung-MAP under represented patients 65 years and older (57.2% v 69.8%; P < .0001), females (38.6% v 46.0%; P < .0001), and racial or ethnic minorities (14.8% v 21.5%; P < .0001).

CONCLUSION

Master protocols may improve access to trials using novel therapeutics for older patients and socioeconomically vulnerable patients compared with conventional trials, but specific patient exclusion criteria influenced demographic composition. Further research examining participation barriers for under represented racial or ethnic minorities in precision medicine clinical trials is warranted.

A Survey of Cancer Risk Behaviors, Beliefs, and Social Drivers of Health in New Hampshire and Vermont

Compared with urban areas, rural areas have higher cancer mortality and have experienced substantially smaller declines in cancer incidence in recent years. In a New Hampshire (NH) and Vermont (VT) survey, we explored the roles of rurality and educational attainment on cancer risk behaviors, beliefs, and other social drivers of health. In February-March 2022, two survey panels in NH and VT were sent an online questionnaire. Responses were analyzed by rurality and educational attainment. Respondents (N = 1,717, 22%) mostly lived in rural areas (55%); 45% of rural and 25% of urban residents had high school education or less and this difference was statistically significant. After adjustment for rurality, lower educational attainment was associated with smoking, difficulty paying for basic necessities, greater financial difficulty during the COVID-19 pandemic, struggling to pay for gas (P < 0.01), fatalistic attitudes toward cancer prevention, and susceptibility to information overload about cancer prevention. Among the 33% of respondents who delayed getting medical care in the past year, this was more often due to lack of transportation in those with lower educational attainment (21% vs. 3%, P = 0.02 adjusted for rurality) and more often due to concerns about catching COVID-19 among urban than rural residents (52% vs. 21%; P < 0.001 adjusted for education). In conclusion, in NH/VT, smoking, financial hardship, and beliefs about cancer prevention are independently associated with lower educational attainment but not rural residence. These findings have implications for the design of interventions to address cancer risk in rural areas.

Significance

In NH and VT, the finding that some associations between cancer risk factors and rural residence are more closely tied to educational attainment than rurality suggest that the design of interventions to address cancer risk should take educational attainment into account.

Neighborhood disadvantage is associated with KRAS-mutated non-small cell lung cancer risk

PURPOSE

It remains unclear why individuals living in disadvantaged neighborhoods have shorter non-small cell lung cancer (NSCLC) survival. It is possible that living in these deprived areas is linked with increased risk of developing aggressive NSCLC biology. Here, we explored the association of somatic KRAS mutations, which are associated with shorter survival in NSCLC patients, and 11 definitions of neighborhood disadvantage spanning socioeconomic and structural environmental elements.

METHODS

We analyzed data from 429 NSCLC patients treated at a Comprehensive Cancer Center from 2015 to 2018. Data were abstracted from medical records and each patient's home address was used to assign publicly available indices of neighborhood disadvantage. Prevalence Ratios (PRs) for the presence of somatic KRAS mutations were estimated using modified Poisson regression models adjusted for age, sex, smoking status, race/ethnicity, educational attainment, cancer stage, and histology.

RESULTS

In the NSCLC cohort, 29% had KRAS mutation-positive tumors. We found that five deprivation indices of socioeconomic disadvantage were associated with KRAS mutation. A one decile increase in several of these socioeconomic disadvantage indices was associated with a 1.06 to 1.14 increased risk of KRAS mutation. Measures of built structural environment were not associated with KRAS mutation status.

CONCLUSION

Socioeconomic disadvantage at the neighborhood level is associated with higher risk of KRAS mutation while disadvantage related to built environmental structural measures was inversely associated. Our results indicate not only that neighborhood disadvantage may contribute to aggressive NSCLC biology, but the pathways linking biology to disadvantage are likely operating through socioeconomic-related stress.

The Persistence of Poverty and its Impact on Cancer Diagnosis, Treatment and Survival

OBJECTIVE

To determine the effect of persistent poverty on the diagnosis, surgical resection and survival of patients with non-small cell lung (NSCLC), breast, and colorectal cancer.

BACKGROUND

Disparities in cancer outcomes exist in counties with high levels of poverty, defined as ≥20% of residents below the federal poverty level. Despite this well-established association, little is known about how the duration of poverty impacts cancer care and outcomes. One measure of poverty duration is that of "persistent poverty," defined as counties in high poverty since 1980.

METHODS

In this retrospective cohort study, patients with NSCLC, breast and colorectal cancer were identified from SEER (2012-2016). County-level poverty was obtained from the American Community Survey (1980-2015). Outcomes included advanced stage at diagnosis (stage III-IV), resection of localized disease (stage I-II) and cancer-specific survival. Hierarchical generalized linear models and accelerated failure time models with Weibull distribution were used, adjusted for patient-level covariates and region.

RESULTS

Overall, 522,514 patients were identified, of which 5.1% were in persistent poverty. Patients in persistent poverty were more likely to present with advanced disease [NSCLC odds ratio (OR): 1.12, 95% confidence interval (CI): 1.06-1.18; breast OR: 1.09, 95% CI: 1.02-1.17; colorectal OR: 1.00, 95% CI: 0.94-1.06], less likely to undergo surgery (NSCLC OR: 0.81, 95% CI: 0.73-0.90; breast OR: 0.82, 95% CI: 0.72-0.94; colorectal OR: 0.84, 95% CI: 0.70-1.00) and had increased cancer-specific mortality (NSCLC HR: 1.09, 95% CI: 1.06-1.13; breast HR: 1.18, 95% CI: 1.05-1.32; colorectal HR: 1.09, 95% CI: 1.03-1.17) as compared with those without poverty. These differences were observed to a lesser magnitude in counties with current, but not persistent, poverty and disappeared in counties no longer in poverty.

CONCLUSIONS

The duration of poverty has a direct impact on cancer-specific outcomes, with the greatest effect seen in persistent poverty and resolution of disparities when a county is no longer in poverty. Policy focused on directing resources to communities in persistent poverty may represent a possible strategy to reduce disparities in cancer care and outcomes.

A systematic review of genetic ancestry as a risk factor for incidence of non-small cell lung cancer in the US

Background: Non-Small Cell Lung Cancer (NSCLC), the leading cause of cancer-related death in the United States, is the most diagnosed form of lung cancer. While lung cancer incidence has steadily declined over the last decade, disparities in incidence and mortality rates persist among African American (AA), Caucasian American (CA), and Hispanic American (HA) populations. Researchers continue to explore how genetic ancestry may influence differential outcomes in lung cancer risk and development. The purpose of this evaluation is to highlight experimental research that investigates the differential impact of genetic mutations and ancestry on NSCLC incidence. Methods: This systematic review was conducted using PubMed and Google Scholar search engines. The following key search terms were used to select articles published between 2011 and 2022: "African/European/Latin American Ancestry NSCLC"; "Racial Disparities NSCLC"; "Genetic Mutations NSCLC"; "NSCLC Biomarkers"; "African Americans/Hispanic Americans/Caucasian Americans NSCLC incidence." Systematic reviews, meta-analyses, and studies outside of the US were excluded. A total of 195 articles were initially identified and after excluding 156 which did not meet eligibility criteria, 38 were included in this investigation. Results: Studies included in this analysis focused on racial/ethnic disparities in the following common genetic mutations observed in NSCLC: KRAS, EGFR, TP53, PIK3CA, ALK Translocations, ROS-1 Rearrangements, STK11, MET, and BRAF. Results across studies varied with respect to absolute differential expression. No significant differences in frequencies of specific genetic mutational profiles were noted between racial/ethnic groups. However, for HAs, lower mutational frequencies in KRAS and STK11 genes were observed. In genetic ancestry level analyses, multiple studies suggest that African ancestry is associated with a higher frequency of EGFR mutations. Conversely, Latin ancestry is associated with TP53 mutations. At the genomic level, several novel predisposing variants associated with African ancestry and increased risk of NSCLC were discovered. Family history among all racial/ethnic groups was also considered a risk factor for NSCLC. Conclusion: Results from racially and ethnically diverse studies can elucidate driving factors that may increase susceptibility and subsequent lung cancer risk across different racial/ethnic groups. Identification of biomarkers that can be used as diagnostic, prognostic, and therapeutic tools may help improve lung cancer survival among high-risk populations.

Rural Disparities in Lung Cancer-directed Surgery: A Medicare Cohort Study

OBJECTIVE

The primary objective of this study was to determine the influence of rural residence on access to and outcomes of lung cancer-directed surgery for Medicare beneficiaries.

SUMMARY OF BACKGROUND DATA

Lung cancer is the leading cause of cancerrelated death in the United States and rural patients have 20% higher mortality. Drivers of rural disparities along the continuum of lung cancercare delivery are poorly understood.

METHODS

Medicare claims (2015-2018) were used to identify 126,352 older adults with an incident diagnosis of nonmetastatic lung cancer. Rural Urban Commuting Area codes were used to define metropolitan, micropolitan, small town, and rural site of residence. Multivariable logistic regression models evaluated influence of place of residence on 1) receipt of cancer-directed surgery, 2) time from diagnosis to surgery, and 3) postoperative outcomes.

RESULTS

Metropolitan beneficiaries had higher rate of cancer-directed surgery (22.1%) than micropolitan (18.7%), small town (17.5%), and isolated rural (17.8%) (P < 0.001). Compared to patients from metropolitan areas, there were longer times from diagnosis to surgery for patients living in micropolitan, small, and rural communities. Multivariable models found nonmetropolitan residence to be associated with lower odds of receiving cancer-directed surgery and MIS. Nonmetropolitan residence was associated with higher odds of having postoperative emergency department visits.

CONCLUSIONS

Residence in nonmetropolitan areas is associated with lower probability of cancer-directed surgery, increased time to surgery, decreased use of MIS, and increased postoperative ED visits. Attention to timely access to surgery and coordination of postoperative care for nonmetropolitan patients could improve care delivery.

Rural-Urban Disparities in Receipt of Surgery for Potentially Resectable Non-Small Cell Lung Cancer

INTRODUCTION

Access to cancer care, especially surgery, is limited in rural areas. However, the specific reasons rural patient populations do not receive surgery for non-small cell lung cancer (NSCLC) is unknown. We investigated geographic disparities in reasons for failure to receive guideline-indicated surgical treatment for patients with potentially resectable NSCLC.

METHODS

The National Cancer Database was used to identify patients with clinical stage I-IIIA (N0-N1) NSCLC between 2004 and 2018. Patients from rural areas were compared to urban areas, and the reason for nonreceipt of surgery was evaluated. Adjusted odds of (1) primary nonsurgical management, (2) surgery being deemed contraindicated due to risk, (3) surgery being recommended but not performed, and (4) overall failure to receive surgery were determined.

RESULTS

The study included 324,785 patients with NSCLC with 42,361 (13.0%) from rural areas. Overall, 62.4% of patients from urban areas and 58.8% of patients from rural areas underwent surgery (P < 0.001). Patients from rural areas had increased odds of (1) being recommended primary nonsurgical management (adjusted odds ratio [aOR]: 1.14, 95% confidence interval [CI]: 1.05-1.23), (2) surgery being deemed contraindicated due to risk (aOR: 1.19, 95% CI: 1.07-1.33), (3) surgery being recommended but not performed (aOR: 1.13, 95% CI: 1.01-1.26), and (4) overall failure to receive surgery (aOR: 1.21, 95% CI: 1.13-1.29; all P < 0.001).

CONCLUSIONS

There are geographic disparities in the management of NSCLC. Rural patient populations are more likely to fail to undergo surgery for potentially resectable disease for every reason examined.

Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis

Introduction

Primary malignant cardiac tumors (PMCTs) are rare. Geographical distribution has been demonstrated to affect cancer outcomes, making the reduction of geographical inequalities a major priority for cancer control agencies. Geographic survival disparities have not been reported previously for PMCT and the aim of this study is to compare the prevalence and the long-term survival rate with respect to the geographic location of PMCTs using the Surveillance, Epidemiology, and End Results (SEER) research plus data 17 registries between 2000 and 2019.

Methods

The SEER database was queried to identify geographic variation among PMCTs. We classified the included states into 4 geographical regions (Midwest, Northeast, South and West regions) based on the U.S. Census Bureau-designated regions and divisions. Different demographic and clinical variables were analyzed and compared between the four groups. Kaplan Meier curves and Cox regression were used for survival assessment.

Results

A total of 563 patients were included in our analysis. The median age was 53 years (inter-quartile range (IQR): 38 - 68 years) and included 26, 90, 101, and 346 patients from the Midwest, Northeast, South, and West regions respectively. Sarcoma represented 65.6% of the cases, followed by hematological tumors (26.2%), while mesothelioma accounted for 2.1%. Treatment analysis showed no significant differences between different regions. Median overall survival was 11, 21, 13, and 11 months for Midwest, Northeast, South and West regions respectively and 5-year overall survival was 22.2%, 25.4%, 14.9%, and 17.6% respectively. On multivariate Cox regression, significant independent predictors of late overall mortality among the entire cohort included age (Hazard Ratio [HR] 1.028), year of diagnosis (HR 0.967), sarcoma (HR 3.36), surgery (HR 0.63) and chemotherapy (HR 0.56).

Conclusion

Primary malignant cardiac tumors are rare and associated with poor prognosis. Sarcoma is the most common pathological type. Younger age, recent era diagnosis, surgical resection, and chemotherapy were the independent predictors of better survival. While univariate analysis revealed that patients in the South areas had a worse survival trend compared to other areas, geographic disparity in survival was nullified in multivariate analysis.

Expanding access to early phase trials: the CATCH-UP.2020 experience

BACKGROUND

Disparities in cancer outcomes persist for underserved populations; one important aspect of this is limited access to promising early phase clinical trials. To address this, the National Cancer Institute-funded Create Access to Targeted Cancer Therapy for Underserved Populations (CATCH-UP.2020) was created. We report the tools developed and accrual metrics of the initial year of CATCH-UP.2020 with a focus on racial, ethnic, geographic, and socioeconomically underserved populations.

METHODS

CATCH-UP.2020 is a P30 supplement awarded to 8 National Cancer Institute-designated cancer centers with existing resources to rapidly open and accrue to Experimental Therapeutics Clinical Trials Network (ETCTN) trials with emphasis on engaging patients from underserved populations. Sites used patient-based, community-based, investigator-based, and program-based tools to meet specific program goals.

RESULTS

From September 2020 to August 2021, CATCH-UP.2020 sites opened 45 ETCTN trials. Weighted average trial activation time for the 7 sites reporting this was 107 days. In the initial year, sites enrolled 145 patients in CATCH-UP.2020 with 68 (46.9%) representing racial, ethnic, rural, and socioeconomically underserved populations using the broader definition of underserved encompassed in the grant charge. During the initial year of CATCH-UP.2020, a time impacted by the COVID-19 pandemic, 15.8% (66 of 417) and 21.4% (31 of 145) of patients enrolled to ETCTN trials at network and at CATCH-UP sites, respectively, were from racial and ethnic minority groups, a more limited definition of underserved for which comparable data are available.

CONCLUSION

Targeted funding accelerated activation and accrual of early phase trials and expanded access to this therapeutic option for underserved populations.

Characterizing Regional Variability in Lung Cancer Outcomes across Ontario-A Population-Based Analysis

Background: Lung cancer (LC) is the leading cause of cancer-related mortality. In Ontario, Canada, there are significant survival differences for patients with newly diagnosed LC across the 14 provincial regions. Methods: A population-based retrospective cohort study using ICES databases from 01/2007-12/2017 identified patients with newly diagnosed LC through the Ontario Cancer Registry and those with LC as the cause of death. Descriptive data included patient, disease, and system characteristics. The primary outcome was 5-year survival by region. Results: 178,202 patient records were identified; 101,263 met inclusion criteria. LC incidence varied by region (5.6-14.6/10,000), as did histologic subtype (adenocarcinoma: 27.3-46.1%). Five-year cancer-specific survival was impacted by age, rurality, pathologic subtype, stage at diagnosis, and income quintile. Timely care was inversely related to survival (fastest quintile: HR 3.22, p < 0.0001). Adjusted 5-year cancer-specific survival varied across regions (24.1%, HR 1.12; 34.0%, HR 0.89, p < 0.001). Conclusions: When adjusting for confounders, differences in survival by health region persisted, suggesting a complex interplay between patient, disease, and system factors. A single approach to improving patient care is likely to be ineffective across different systems. Quality improvement initiatives to improve patient outcomes require different approaches amongst health regions to address local disparities in care.

Disparities in localized malignant lung cancer surgical treatment: A population‐based cancer registry analysis

BACKGROUND

Lung cancer (LC) continues to be the leading cause of cancer deaths in the United States. Surgical treatment has proven to offer a favorable prognosis and a better 5-year relative survival for patients with early or localized tumors. This novel study investigates the factors associated with the odds of receiving surgical treatment for localized malignant LC in Tennessee.

METHODS

Population-based data of 9679 localized malignant LC patients from the Tennessee Cancer Registry (2005-2015) were utilized to examine the factors associated with receiving surgical treatment for localized malignant LC. Bivariate and multivariate logistic regression analyses, cross-tabulation, and Chi-Square ( χ ² ) tests were conducted to assess these factors.

RESULTS

Patients with localized malignant LC who initiated treatment after 2.7 weeks were 46% less likely to receive surgery (adjusted odds ratio [AOR] = 0.54; 95% confidence interval [CI] = 0.50-0.59; p < 0.0001). Females had a greater likelihood (AOR = 1.14; CI = 1.03-1.24) of receiving surgical treatment compared to men. Blacks had lower odds (AOR = 0.76; CI = 0.65-0.98) of receiving surgical treatment compared to Whites. All marital groups had higher odds of receiving surgical treatment compared to those who were single/never married. Patients living in Appalachian county had lower odds of receiving surgical treatment (AOR = 0.65; CI = 0.59-0.71) compared with those in the non-Appalachian county. Patients with private (AOR = 2.09; CI = 1.55-2.820) or public (AOR = 1.42; CI = 1.06-1.91) insurance coverage were more likely to receive surgical treatment compared to self-pay/uninsured patients. Overall, the likelihood of patients receiving surgical treatment for localized malignant LC decreases with age.

CONCLUSION

Disparities exist in the receipt of surgical treatment among patients with localized malignant LC in Tennessee. Health policies should target reducing these disparities to improve the survival of these patients.

Sociodemographic Survival Disparities for Lung Cancer in the United States, 2000-2016

BACKGROUND

Understanding the impact of patient and tumor characteristics on lung cancer survival can help build personalized prognostic models and identify health disparities.

METHODS

We identified 557 555 patients aged 25 years and older diagnosed with lung or bronchus carcinoma from the Surveillance, Epidemiology, and End Results database, 2000-2016. We estimated hazard ratios (HR) for demographic (sex, age, race and ethnicity), tumor (stage, histology, year of diagnosis), and geographic characteristics (census tract-level urbanicity, socioeconomic status [SES]), as well as selected interactions, on the rate of lung cancer-specific death using multivariable proportional hazards models.

RESULTS

Women had a higher survival (lower hazard) of lung cancer-specific death than men (HR = 0.83, 95% confidence interval [CI] = 0.82 to 0.83). Hazards differed by race and ethnicity. Regional (HR = 2.41, 95% CI = 2.37 to 2.44) and distant (HR = 6.61, 95% CI = 6.53 to 6.69) tumors were associated with a lower survival (higher hazard) than localized tumors. Small cell tumors were associated with a lower survival (HR = 1.19, 95% CI = 1.18 to 1.20) than non-small cell tumors. Patients diagnosed after 2009 had lower hazards (HR = 0.86, 95% CI = 085 to 0.86) than those diagnosed 2000-2009. Lung cancer-specific survival did not depend on urbanicity after adjusting for census tract-level SES, but survival decreased with decreasing census tract-level SES. Differences in survival between non-Hispanic Black and White patients were greater for younger patients and localized tumors and increased with census tract-level SES. Differences by sex were greatest for young patients and localized tumors.

CONCLUSIONS

Disparities in survival after lung cancer diagnosis remain, with intersectional patterns suggesting differential access to and quality of care. Efforts are needed to ensure that high-risk groups receive guideline-concordant treatment.

Rural-Urban Disparities in Cancer Outcomes: Opportunities for Future Research

Cancer care disparities among rural populations are increasingly documented and may be worsening, likely because of the impact of rurality on access to state-of-the-art cancer prevention, diagnosis, and treatment services, as well as higher rates of risk factors such as smoking and obesity. In 2018, the American Society of Clinical Oncology undertook an initiative to understand and address factors contributing to rural cancer care disparities. A key pillar of this initiative was to identify knowledge gaps and promote the research needed to understand the magnitude of difference in outcomes in rural vs nonrural settings, the drivers of those differences, and interventions to address them. The purpose of this review is to describe continued knowledge gaps and areas of priority research to address them. We conducted a comprehensive literature review by searching the PubMed (Medline), Embase, Web of Science, and Cochrane Library databases for studies published in English between 1971 and 2021 and restricted to primary reports from populations in the United States and abstracted data to synthesize current evidence and identify continued gaps in knowledge. Our review identified continuing gaps in the literature regarding the underlying causes of rural-urban disparities in cancer outcomes. Rapid advances in cancer care will worsen existing disparities in outcomes for rural patients without directed effort to understand and address barriers to high-quality care in these areas. Research should be prioritized to address ongoing knowledge gaps about the drivers of rurality-based disparities and preventative and corrective interventions.

Influence of Race, Insurance, Rurality, and Socioeconomic Status on Equity of Lung and Colorectal Cancer Care

BACKGROUND

This study evaluated the influence that social determinants of health had on stage at diagnosis and receipt of cancer-directed surgery for patients with lung and colorectal cancer in the North Carolina Central Cancer Registry (2010-2015).

METHODS

This study examined non-Hispanic uninsured or privately-insured patients 18 to 64 years of age. Multivariable logistic regression models, including two-way interaction terms, assessed the influence of race, insurance status, rurality, and Social Deprivation Index on stage at diagnosis and receipt of surgery.

RESULTS

6574 lung cancer patients and 5355 colorectal cancer patients were included. Among the lung cancer patients, the uninsured patients had higher odds of having stage IV disease (odds ratio [OR] = 1.46; 95 % confidence interval [CI] = 1.22-1.76) and lower odds of receiving surgery (OR = 0.48; 95 % CI = 0.34-0.69) than the privately-insured patients. Among the colorectal cancer patients, uninsured status was associated with higher odds of stage IV disease (OR = 1.53; 95 % CI = 1.17-2.00) than privately-insured status. A significant insurance status and rurality interaction (p = 0.03) was found in the colorectal model for receipt of surgery. In the privately-insured group, non-Hispanic Black and rural patients had lower odds of receiving colorectal surgery (OR = 0.69; 95 % CI = 0.50-0.94 and OR = 0.68; 95 % CI = 0.52-0.89; respectively) than their non-Hispanic White and urban counterparts.

CONCLUSIONS

After controlling for confounding and evaluation of interactions between patient-, community-, and geographic-level factors, uninsured status remained the strongest driver of patients' presentation with late-stage lung and colorectal cancer. As policy and care delivery transformation targets uninsured and vulnerable populations, explicit recognition, and measurement of intersectionality should be considered.

No Geographical Inequalities in Survival for Sarcoma Patients in France: A Reference Networks' Outcome?

The national reference network NETSARC+ provides remote access to specialized diagnosis and the Multidisciplinary Tumour Board (MTB) to improve the management and survival of sarcoma patients in France. The IGéAS research program aims to assess the potential of this innovative organization to address geographical inequalities in cancer management. Using the IGéAS cohort built from the nationwide NETSARC+ database, the individual, clinical, and geographical determinants of the 3-year overall survival of sarcoma patients in France were analyzed. The survival analysis was focused on patients diagnosed in 2013 (n = 2281) to ensure sufficient hindsight to collect patient follow-up. Our study included patients with bone (16.8%), soft-tissue (69%), and visceral (14.2%) sarcomas, with a median age of 61.8 years. The overall survival was not associated with geographical variables after adjustment for individual and clinical factors. The lower survival in precarious population districts [HR 1.23, 95% CI 1.02 to 1.48] in comparison to wealthy metropolitan areas (HR = 1) found in univariable analysis was due to the worst clinical presentation at diagnosis of patients. The place of residence had no impact on sarcoma patients' survival, in the context of the national organization driven by the reference network. Following previous findings, this suggests the ability of this organization to go through geographical barriers usually impeding the optimal management of cancer patients.

Techno-Economic Feasibility Analysis of a Fully Mobile Radiation Oncology System Using Monte Carlo Simulation

Disparities in radiation oncology (RO) can be attributed to geographic location, socioeconomic status, race, sex, and other societal factors. One potential solution is to implement a fully mobile (FM) RO system to bring radiotherapy to rural areas and reduce barriers to access. We use Monte Carlo simulation to quantify techno-economic feasibility with uncertainty, using two rural Missouri scenarios.

Racial, Ethnic, and Socioeconomic Disparities in Curative Treatment Receipt and Survival in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) disproportionately affects racial, ethnic, and low socioeconomic status (SES) populations. However, the interaction between race, ethnicity, and neighborhood SES in HCC prognosis is not well explored. This study evaluates the interaction between race and ethnicity and neighborhood SES on curative treatment utilization and overall survival among patients with HCC in the United States. We conducted a retrospective cohort study of 13,874 patients aged ≥65 years diagnosed with HCC from 2001 through 2015 using the Surveillance, Epidemiology, and End Results Medicare-linked database. We performed multivariable logistic regression to examine the association between race, ethnicity, and curative treatment receipt across SES. We also evaluated the association between curative treatment receipt and overall survival using a Cox proportional hazards model. Among 13,874 patients, only 2,617 (18.9%) patients received curative treatment. Overall, Black patients had lower odds of receiving curative treatment than White patients (odds ratio [OR], 0.76; 95% confidence interval [CI], 0.64-0.91). When stratified by neighborhood SES, Black patients living in high-poverty neighborhoods had lower odds of curative treatment receipt (OR, 0.64; 95% CI, 0.49-0.84) and worse survival (hazard ratio, 1.13; 95% CI, 1.02-1.25). Conversely, Hispanic and Asian patients had similar curative treatment receipt compared to White patients across all socioeconomic levels. Conclusion: Disparities in curative treatment receipt and overall survival are pronounced between Black and White patients. Black-White disparities appear to be moderated by neighborhood SES and are particularly evident among those living in high-poverty neighborhoods.

Geography Should Not Be an "Oncologic Destiny" for Urothelial Cancer: Improving Access to Care by Removing Local, Regional, and International Barriers

Urothelial cancer care is particularly susceptible to geographical health disparity given its complex nature, requiring access to several specialists such as a urologist, a medical oncologist, a radiation oncologist, a surgical oncologist, and multidisciplinary care teams. Furthermore, other barriers to care access in underserved areas include travel burden, longer wait times, late-stage disease at the time of diagnosis, cost, type of treatment, less enrollment in clinical trials, lack of follow-up among cancer survivors, and less research funding in this area. Here, we discuss the impact of geographical location on access to urothelial cancer care, management decisions, and outcomes and we reflect on how to address geographical disparities in care delivery.

circNBPF10/miR-224 Axis Regulates PBX3 to Promote the Malignant Progression of Lung Cancer

This study aims to reveal the potential effect of circNBPF10 on the malignant progression of lung cancer. The expression levels of circNBPF10 in lung cancer tissues and cell lines were detected via real-time quantitative PCR (RT-qPCR). The relationship between circNBPF10 expression and lung cancer metastasis was further analyzed. Effects on lung cancer cells after the knockout or overexpression of circNBPF10 were detected. Subsequently, the regulatory relationship of circNBPF10 with miR-224 was detected by using the dual-luciferase reporter gene. In addition, the role of pre-B-cell homeo box 3 (PBX3) in the progression of lung cancer affected by circNBPF10 was evaluated through a rescue experiment. circNBPF10 was highly expressed in lung cancer tissues and lung cancer cell lines. The expression level of circNBPF10 was significantly higher in patients with lung cancer and lymphatic metastasis or distant metastasis than in patients with nonmetastatic lung cancer. The downregulation of circNBPF10 reduced the proliferation, migration, and invasion of lung cancer cells. In lung cancer cells, circNBPF10 negatively regulated the expression of miR-224, whereas miR-224 directly targeted the expression of PBX3. The results of the rescue experiment confirmed that PBX3 was the key gene for the promoting effect of circNBPF10 on the malignant progression of lung cancer. circNBPF10 was highly expressed in lung cancer tissues and was associated with distant metastasis and poor prognosis in patients with lung cancer. circNBPF10 upregulated PBX3 by targeting miR-224 and promoted the malignant progression of lung cancer.

Circular RNA Eps15-homology domain containing protein 2 motivates proliferation, glycolysis but refrains autophagy in non-small cell lung cancer via crosstalk with microRNA-3186-3p and forkhead box K1

Numerous studies have clarified the involvement of circular RNAs (circRNAs) in modulating malignant behavior of non-small cell lung cancer (NSCLC), while the concrete mechanism is not completely elucidated. The aim of the study was to figure out the latent functions and molecular mechanisms of circRNA Eps15-homology domain containing protein 2 (EHD2) on NSCLC proliferation, glycolysis and autophagy. The results clarified in NSCLC elevated expression of circEHD2 and declined expression of microRNA (miR)-3186-3p. Repressive circEHD2 or enhancive miR-3186-3p facilitated cell apoptosis rate and autophagy substrates LC3BII and Beclin-1, but curbed the colony-formation and DNA replication ability of NSCLC, glucose consumption, lactic acid production, glycolytic rate-limiting enzyme HK-2 and glutamine hydrolase GLS1 and P62, while overexpressed circEHD2 was adverse. Meanwhile, the impacts of repressive and elevated circEHD2 on NSCLC were turned around via reduced miR-3186-3p or forkhead box k1 (FOXK1) separately. Mechanically, FOXK1 was augmented via circEHD2's competitive integration of miR-3186-3p. Depressive circEHD2 refrained NSCLC tumor growth, which was accelerated via enhancive one. All in all, circEHD2 accelerates the proliferation and glycolysis of NSCLC, but refrains autophagy and apoptosis via strengthening FOXK1 via the adsorption of miR-3186-3p, which is supposed to be a latent molecular target for NSCLC therapy later.

Social determinants and facility type impact adherence to best practices in operable IIIAN2 lung cancer

OBJECTIVES

We aimed to identify patient- and facility-specific predictors of collective adherence to 4 recommended best treatment practices in operable IIIAN2 non-small-cell lung cancer (NSCLC) and test the hypothesis that collective adherence is associated with superior survival.

METHODS

We queried the National Cancer Database for clinical stage IIIAN2 NSCLC patients undergoing surgery during 2010-2015. The following best practices were examined: performance of an anatomic resection, performance of an R0 resection, examination of regional lymph nodes and administration of induction therapy. Multivariable regression models were fitted to identify independent predictors of guideline-concordance.

RESULTS

We identified 7371 patients undergoing surgical resection for IIIAN2 lung cancer, of whom 90.8% underwent an anatomic resection, 88.2% received an R0 resection, 92.5% underwent a regional lymph node examination, 41.6% received induction therapy and 33.7% received all 4 best practices. Higher income, private insurance and treatment at an academic facility were independently associated with adherence to all 4 best practices (P < 0.01). A lower level of education and residence in a rural county were associated with a lack of adherence (P < 0.05). Adherence to all 4 practices correlated with improved survival (P < 0.01).

CONCLUSIONS

National adherence to best treatment practices in operable IIIAN2 lung cancer was variable as evidenced by the majority of patients not receiving recommended induction therapy. Socioeconomic factors and facility type are important determinants of guideline-concordance. Future efforts to improve outcomes should take this into account since guideline concordance, in the form of collective adherence to all 4 best practices, was associated with improved survival.

Influence of Race, Insurance, and Rurality on Equity of Breast Cancer Care

BACKGROUND

Considerable gaps in knowledge remain regarding the intersectionality between race, insurance status, rurality, and community-level socioeconomic status that contribute in concert to disparities in breast cancer care delivery.

METHODS

Women age 18-64 y old with either private, Medicaid, or no insurance coverage and a diagnosis of breast cancer from the North Carolina Central Cancer Registry (2010-2015) were identified and reviewed. Logistic regression models examined the impact of race, insurance status, rurality, and the Social Deprivation Index (SDI) on advanced stage disease at diagnosis (III, IV) and receipt of cancer directed surgery (CDS). Models tested two-way interactions between race, insurance status, rurality, and SDI.

RESULTS

Of the study population (n = 23,529), 14.6% were diagnosed with advanced stage disease (III, IV), and 97.1% of women with non-metastatic breast cancer (n = 22,438) received cancer directed surgery (CDS). Twenty percent of women were non-Hispanic Black (NHB), 3.0% Hispanic, 10.9% Medicaid insured, 5.9% uninsured, 20.0% of women resided in rural areas, and 20.0% resided in communities of the highest quartile SDI. NHB race, Medicaid or uninsured status, and residence in rural or socially deprived areas were associated with advanced stage breast cancer at diagnosis. NHB and Medicaid or uninsured women were significantly less likely to receive CDS. There were no statistically significant interactions found influencing stage at diagnosis or receipt of cancer directed surgery.

CONCLUSIONS

In a heterogeneous population across the state of North Carolina, non-Hispanic Black race, Medicaid or uninsured status, and residence in rural or high social deprivation communities are independently associated with advanced stage breast cancer at diagnosis, while non-Hispanic Black race and Medicaid or uninsured status are associated with lower odds to receive cancer directed surgery.

Rural vs urban inequalities in stage at diagnosis for lung cancer

OBJECTIVES

Early diagnosis of lung cancer increases the chance of survival. The aim of this study was to measure the relationship between geographic residence in Saskatchewan and stage of lung cancer at the time of diagnosis.

MATERIALS AND METHODS

Retrospective cohort analysis of 2,972 patients with a primary diagnosis of either non-small cell cancer (NSCLC) or small cell lung cancer (SCLC) between 2007 and 2012 was performed. Incidence proportion of early and advanced stage cancer, and relative risk of being diagnosed with advanced-stage lung cancer relative to early-stage was calculated.

RESULTS

Compared to urban Saskatchewan, rural Saskatchewan lung cancer patients had a higher relative risk of advanced stage NSCLC (relative risk [RR] = 1.11, 95% confidence interval [CI]: 1.01-1.22). Rural Saskatchewan was further subdivided into north and south. The relative risk of advanced stage NSCLC in rural north Saskatchewan compared to urban Saskatchewan was even greater (RR = 1.17, 95% CI: 1.03-1.31). Although not statistically significant, there was a trend for a higher incidence of advanced stage SCLC in rural and rural north vs urban Saskatchewan (RR = 1.16, 95% CI: 0.95-1.43 and RR = 1.22; 95% CI: 0.94-1.58, respectively). There was a higher incidence proportion of advanced stage NSCLC in rural areas relative to urban (31.6-34.4 vs 29.5 per 10,000 people).

CONCLUSION

Patients living in rural Saskatchewan have higher incidence proportion of and were more likely to present with advanced stage NSCLC in comparison to urban Saskatchewan patients at time of diagnosis. This inequality was even greater in rural north Saskatchewan.

Social Disparities in Lung Cancer

Social disparities in lung cancer diagnosis, treatment, and survival have been studied using national databases, statewide registries, and institution-level data. Some disparities emerge consistently, such as lower adherence to treatment guidelines and worse survival by race and socioeconomic status, whereas other disparities are less well studied. A critical appraisal of current data is essential to increasing equity in lung cancer care.

Challenges in the Methodology for Health Disparities Research in Thoracic Surgery

Research on health disparities in thoracic surgery is based on large population-based studies, which is associated with certain biases. Several methodological challenges are associated with these biases and warrant review and attention. The lack of standardized definitions in health disparities research requires clarification for study design strategy. Further inconsistencies remain when considering data sources and collection methods. These inconsistencies pose challenges for accurate and standardized downstream data analysis and interpretation. These sources of bias should be considered when establishing the infrastructure of health disparities research in thoracic surgery, which is in its infancy and requires further development.

Disparities in Tumor Mutational Burden, Immunotherapy Use, and Outcomes Based on Genomic Ancestry in Non-Small-Cell Lung Cancer

PURPOSE

In patients with advanced non–small-cell lung cancer (aNSCLC), tumor mutational burden (TMB) may vary by genomic ancestry; however, its impact on treatment outcomes is unclear. This retrospective, observational study describes treatment patterns of patients with aNSCLC by genomic ancestry and electronic health record (EHR)-reported race and/or ethnicity and evaluates differences in TMB, cancer immunotherapy (CIT) access, and treatment outcomes across racial and ancestral groups.

METHODS

Patients diagnosed with aNSCLC after January 1, 2011, were selected from a real-world deidentified clinicogenomics database and EHR-derived database; continuously enrolled patients were evaluated. Race and/or ethnicity was recorded using variables from the EHR database; genomic ancestry was classified by single-nucleotide polymorphisms on a next-generation sequencing panel. A threshold of 16 mutations per megabase was used to categorize TMB status.

RESULTS

Of 59,559 patients in the EHR-derived database and 7,548 patients in the clinicogenomics database, 35,016 (58.8%) and 4,392 (58.2%) were continuously enrolled, respectively. CIT use was similar across EHR-reported race groups, ranging from 34.4% to 37.3% for non-Hispanic Asian and non-Hispanic Black patients, respectively. TMB levels varied significantly across ancestry groups (P < .001); patients of African ancestry had the highest median TMB (8.75 mutations per megabase; interquartile range, 4.35-14.79). In patients who had received CIT, high TMB was associated with improved overall survival compared with low TMB (20.89 v 11.83 months; hazard ratio, 0.60; 95% CI, 0.51 to 0.70) across genomic ancestral groups.

CONCLUSION

These results suggest that equitable access to next-generation sequencing may improve aNSCLC outcome disparities in racially and ancestrally diverse populations.

The impact of social determinants of health on management of stage I non-small cell lung cancer

BACKGROUND

Social Determinants of Health (SDOH) can be important contributors in health care outcomes. We hypothesized that certain SDOH independently impact the management and outcomes of stage I Non-Small Cell Lung Cancer (NSCLC).

STUDY DESIGN

Patients with clinical stage I NSCLC were identified from the National Cancer Database. The impact of SDOH factors on utilization of surgery, perioperative outcomes and overall survival were examined, both in bivariate and multivariable analyses.

RESULTS

A total of 236,140 patients were identified. In multivariate analysis, SDOH marginalization were associated with less frequent use of surgery, lower 5-year survival and, in surgical patients, more frequent use of open surgery and lower 90-day postoperative survival.

CONCLUSION

SDOH disparities have a significant impact in the management and outcomes of stage I NSCLC. We identified SDOH patient groups particularly impacted by such disparities, in which higher utilization of surgery and minimally invasive approaches may lead to improved outcomes.

Twenty years' experience of primary vaginal cancer treatment at one cancer centre: does residence status matter?

Objectives

To study the long-term results of the treatment of patients with vaginal cancer and to examine whether there are any differences in diagnostic and survival rates between urban and rural patients.

Methods

The data of 70 patients with primary vaginal cancer treated at NN Alexandrov National Cancer Centre of Belarus from 2000 to 2019 were included. The median age was 64 years (range = 56–75). Morphology in 91.4% (64/70) of the cases was squamous cell cancer, in 7.1% (5/70) it was adenocarcinoma and in 1.4% (1/70) it was adenosquamous carcinoma. In total, there were 31 patients from urban and 39 from rural areas. The groups were comparable in age (61 versus 67, p = 0.104), morphology (p = 0.188) and distribution of stages: stage I in 7 and 10 patients (22.6% and 25.6%, respectively; p = 0.999), stage II in 14 and 16 patients (45.1% and 41.0%, respectively; p = 0.810), stage III in 6 and 6 patients (19.4% and 15.4%, respectively; p = 0.754) and stage IV in 4 and 7 patients (12.9% and 18.0%, respectively; p = 0.744).

Results

The median follow-up time was 33 months (range = 1–220). A total of 42 women died: 28 from progression of vaginal cancer and 14 from other diseases. Overall survival (OS) was 31.9 ± 6.8%, median survival was 41 months (95% CI = 0.0–105.3). Disease-specific survival (DSS) for the entire group was 54.5 ± 6.8%; median was not reached. The overall survival rate of urban women was 44.8 ± 10.6% and for rural it was 22.5 ± 8.2% (p = 0.142); DSS was 57.6 ± 10.5% and 53.0 ± 8.4% (p = 0.448), respectively.

Conclusion

DSS rate was 54.0 ± 6.8% and the OS rate did not exceed 31.9 ± 6.8%. Rural residence was not associated with late stage at diagnosis or receipt of treatment.

Analysis of Gut Microbiota Composition in Lung Adenocarcinoma Patients with TCM Qi-Yin Deficiency

In Lung adenocarcinoma (ADC), Qi-Yin deficiency syndrome (QY) is the most common Traditional Chinese medicine (TCM) syndrome. This study aimed to investigate the diversity and composition of gut microbiota in ADC patients with QY syndrome. 90 stool samples, including 30 healthy individuals (H), 30 ADC patients with QY syndrome, and 30 ADC patients with another syndrome (O) were collected. Then, 16s-RNA sequencing was used to analyze stool samples to clarify the structure of gut microbiota, and linear discriminant analysis (LDA) effect size (LEfSe) was applied to identify biomarkers for ADC with QY syndrome. Logistic regression analysis was performed to establish a diagnostic model for the diagnosis of QY syndrome in ADC patients, which was assessed with the AUC. Finally, 20 fecal samples (QY: 10; O: 10) were analyzed with Metagenomics to validate the diagnostic model. The [Formula: see text] diversity and [Formula: see text] diversity demonstrated that the structure of gut microbiota in the QY group was different from that of the H group and O group. In the QY group, the top 3 taxonomies at phylum level were Firmicutes, Bacteroidetes, and Proteobacteria, and at genus level were Faecalibacterium, Prevotella_9, and Bifidobacterium. LEfSe identified Prevotella_9 and Streptococcus might be the biomarkers for QY syndrome. A diagnostic model was constructed using those 2 genera with the AUC = 0.801, similar to the AUC based on Metagenomics (0.842). The structure of gut microbiota in ADC patients with QY syndrome was investigated, and a diagnostic model was developed for the diagnosis of QY syndrome in ADC patients, which provides a novel idea for the understanding and diagnosis of TCM syndrome.

Survival Impact of an Enhanced Multidisciplinary Thoracic Oncology Conference in a Regional Community Health Care System

INTRODUCTION

We compared NSCLC treatment and survival within and outside a multidisciplinary model of care from a large community health care system.

METHODS

We implemented a rigorously benchmarked "enhanced" Multidisciplinary Thoracic Oncology Conference (eMTOC) and used Tumor Registry data (2011-2017) to evaluate guideline-concordant care. Because eMTOC was located in metropolitan Memphis, we separated non-MTOC patient by metropolitan and regional location. We categorized National Comprehensive Cancer Network guideline-concordant treatment as "preferred," or "appropriate" (allowable under certain circumstances). We compared demographic and clinical characteristics across cohorts using chi-square tests and survival using Cox regression, adjusted for multiple testing. We also performed propensity-matched and adjusted survival analyses.

RESULTS

Of 6259 patients, 14% were in eMTOC, 55% metropolitan non-MTOC, and 31% regional non-MTOC cohorts. eMTOC had the highest rates of African Americans (34% versus 28% versus 22%), stages I to IIIB (63 versus 40 versus 50), urban residents (81 versus 78 versus 20), stage-preferred treatment (66 versus 57 versus 48), guideline-concordant treatment (78 versus 70 versus 63), and lowest percentage of nontreatment (6 versus 21 versus 28); all p values were less than 0.001. Compared with eMTOC, hazard for death was higher in metropolitan (1.5, 95% confidence interval: 1.4-1.7) and regional (1.7, 1.5-1.9) non-MTOC; hazards were higher in regional non-MTOC versus metropolitan (1.1, 1.0-1.2); all p values were less than 0.05 after adjustment. Results were generally similar after propensity analysis with and without adjusting for guideline-concordant treatment.

CONCLUSIONS

Multidisciplinary NSCLC care planning was associated with significantly higher rates of guideline-concordant care and survival, providing evidence for rigorous implementation of this model of care.

The Association between Polluted Neighborhoods and TP53-Mutated Non-Small Cell Lung Cancer

BACKGROUND

Poor patients often reside in neighborhoods of lower socioeconomic status (SES) with high levels of airborne pollutants. They also have higher mortality from non-small cell lung cancer (NSCLC) than those living in wealthier communities. We investigated whether living in polluted neighborhoods is associated with somatic mutations linked with lower survival rates, i.e., TP53 mutations.

METHODS

In a retrospective cohort of 478 patients with NSCLC treated at a comprehensive cancer center between 2015 and 2018, we used logistic regression to assess associations between individual demographic and clinical characteristics, including somatic TP53 mutation status and environmental risk factors of annual average particulate matter (PM2.5) levels, and neighborhood SES.

RESULTS

277 patients (58%) had somatic TP53 mutations. Of those, 45% lived in neighborhoods with "moderate" Environmental Protection Agency-defined PM2.5 exposure, compared with 39% of patients without TP53 mutations. We found significant associations between living in neighborhoods with "moderate" versus "good" PM2.5 concentrations and minority population percentage [OR, 1.06; 95% confidence interval (CI), 1.04-1.08]. There was a significant association between presence of TP53 mutations and PM2.5 exposure (moderate versus good: OR, 1.66; 95% CI, 1.02-2.72) after adjusting for patient characteristics, other environmental factors, and neighborhood-level SES.

CONCLUSIONS

When controlling for individual- and neighborhood-level confounders, we find that the odds of having a TP53-mutated NSCLC are increased in areas with higher PM2.5 exposure.

IMPACT

The link between pollution and aggressive biology may contribute to the increased burden of adverse NSCLC outcomes in individuals living in lower SES neighborhoods.

Racial Disparity and Social Determinants in Receiving Timely Surgery Among Stage I-IIIA Non-small Cell Lung Cancer Patients in a U.S. Southern State

Delayed surgery is associated with worse lung cancer outcomes. Social determinants can influence health disparities. This study aimed to examine the potential racial disparity and the effects from social determinants on receipt of timely surgery among lung cancer patients in Louisiana, a southern state in the U.S. White and black stage I-IIIA non-small cell lung cancer patients diagnosed in Louisiana between 2004 and 2016, receiving surgical lobectomy or a more extensive surgery, were selected. Diagnosis-to-surgery interval >6 weeks were considered as delayed surgery. Social determinants included marital status, insurance, census tract level poverty, and census tract level urbanicity. Multivariable logistic regression and generalized multiple mediation analysis were conducted. A total of 3,616 white (78.9%) and black (21.1%) patients were identified. The median time interval from diagnosis to surgery was 27 days in whites and 42 days in blacks (P < 0.0001). About 28.7% of white and 48.4% of black patients received delayed surgery (P < 0.0001). Black patients had almost two-fold odds of receiving delayed surgery than white patients (adjusted odds ratio: 1.91; 95% confidence interval: 1.59-2.30). Social determinants explained about 26% of the racial disparity in receiving delayed surgery. Having social support, private insurance, and living in census tracts with lower poverty level were associated with improved access to timely surgery. The census tract level poverty level a stronger effect on delayed surgery in black patients than in white patients. Tailored interventions to improve the timely treatment in NSCLC patients, especially black patients, are needed in the future.

Racial and socioeconomic disparities in the use of stereotactic body radiotherapy for treating non-small cell lung cancer: a narrative review

In the past two decades, there has been a steady increase in the use of stereotactic body radiotherapy (SBRT) as an alternative to surgical intervention for early-stage non-small cell lung cancer (NSCLC) patients; however, not much is known about the impact of race and socioeconomic status (SES) on the delivery of SBRT. Here, we conduct a narrative review to examine potential disparities in the use of SBRT. Keyword searches of MEDLINE/PubMed, Web of Science, Embase, and Google Scholar databases were performed for studies focused on race, SES, and the use of SBRT published between 2000 and 2020. Six studies were identified, and showed that minority patients, especially Blacks, were less likely to receive SBRT and had a significantly longer median time between diagnosis to SBRT treatment. Patients with lower income or lower education, as well as those from lower socioeconomic regions were less likely to receive SBRT; they were more likely to receive conventionally fractionated external beam radiation (CFRT) or no treatment. These racial and socioeconomic factors were associated with worse survival in other general early-stage NSCLC studies. In conclusion, the limited number of published studies suggest significant disparities in the treatment of early-stage NSCLC with SBRT. These factors potentially lead to worse survival outcomes among vulnerable patient populations. Equal access to SBRT should be a focus of healthcare delivery systems, to ensure optimal clinical outcomes for patients with early-stage NSCLC.

Determinants of the access to remote specialised services provided by national sarcoma reference centres

Background

Spatial inequalities in cancer management have been evidenced by studies reporting lower quality of care or/and lower survival for patients living in remote or socially deprived areas. NETSARC+ is a national reference network implemented to improve the outcome of sarcoma patients in France since 2010, providing remote access to specialized diagnosis and Multidisciplinary Tumour Board (MTB). The IGéAS research program aims to assess the potential of this innovative organization, with remote management of cancers including rare tumours, to go through geographical barriers usually impeding the optimal management of cancer patients.

Methods

Using the nationwide NETSARC+ databases, the individual, clinical and geographical determinants of the access to sarcoma-specialized diagnosis and MTB were analysed. The IGéAS cohort (n = 20,590) includes all patients living in France with first sarcoma diagnosis between 2011 and 2014. Early access was defined as specialised review performed before 30 days of sampling and as first sarcoma MTB discussion performed before the first surgery.

Results

Some clinical populations are at highest risk of initial management without access to sarcoma specialized services, such as patients with non-GIST visceral sarcoma for diagnosis [OR 1.96, 95% CI 1.78 to 2.15] and MTB discussion [OR 3.56, 95% CI 3.16 to 4.01]. Social deprivation of the municipality is not associated with early access on NETSARC+ remote services. The quintile of patients furthest away from reference centres have lower chances of early access to specialized diagnosis [OR 1.18, 95% CI 1.06 to 1.31] and MTB discussion [OR 1.24, 95% CI 1.10 to 1.40] but this influence of the distance is slight in comparison with clinical factors and previous studies on the access to cancer-specialized facilities.

Conclusions

In the context of national organization driven by reference network, distance to reference centres slightly alters the early access to sarcoma specialized services and social deprivation has no impact on it. The reference networks’ organization, designed to improve the access to specialized services and the quality of cancer management, can be considered as an interesting device to reduce social and spatial inequalities in cancer management. The potential of this organization must be confirmed by further studies, including survival analysis.

The Impact of Residential Racial Segregation on Non-Small Cell Lung Cancer Treatment and Outcomes

BACKGROUND

Despite decreases in lung cancer incidence, racial disparities in diagnosis and treatment persist. Residential segregation and structural racism have effects on socioeconomic status for black people, affecting healthcare access. This study aims to determine the impact of residential segregation on racial disparities in non-small cell lung cancer (NSCLC) treatment and mortality.

METHODS

Patient data were obtained from Surveillance, Epidemiology, and End Results Program (SEER) database for black and white patients diagnosed with NSCLC from 2004-2016 in the 100 most populous counties. Regression models were built to assess outcomes of interest - stage at diagnosis and surgical resection of disease. Predicted margins assessed impact of index of dissimilarity (IoD) on these disparities. Competing risk regressions for black and white patients in highest and lowest quartiles of IoD were used to assess cancer-specific mortality.

RESULTS

Our cohort had 193,369 white and 35,649 black patients. Black patients were more likely to be diagnosed at advanced stage than white patients with increasing IoD. With increasing IoD, black patients were less likely to undergo surgical resection than white. Disparities were eliminated at low IoD. Black patients at high IoD had lower cancer-specific survival.

CONCLUSIONS

Black patients were more likely to present at advanced disease, were less likely to receive surgery for early stage, and had higher cancer-specific mortality at higher IoD. Our findings highlight the impact of structural racism and residential segregation on NSCLC outcomes. Solutions to these disparities must come from policy reforms to reverse residential segregation and deleterious socioeconomic effects of discriminatory policies.