Comparing barriers to early stage diagnosis of hepatocellular carcinoma between safety net hospitals and academic medical centers: An analysis from the United States Safety-Net Collaborative.

BACKGROUND AND OBJECTIVES: Early detection of hepatocellular carcinoma (HCC) is associated with improved survival. However, a greater proportion of patients treated at safety net hospitals (SNHs) present with late-stage disease compared to those at academic medical centers (AMCs). This study aims to identify barriers to diagnosis of HCC, highlighting differences between SNHs and AMCs. METHODS: The US Safety Net Collaborative-HCC database was queried. Patients were stratified by facility of diagnosis (SNH or AMC). Patient demographics and HCC screening rates were examined. The primary outcome was stage at diagnosis (AJCC I/II-"early"; AJCC III/IV-"late"). RESULTS: 1290 patients were included; 50.2% diagnosed at SNHs and 49.8% at AMCs. At SNHs, 44.4% of patients were diagnosed late, compared to 27.6% at AMCs. On multivariable regression, Black race was associated with late diagnosis in both facilities (SNH: odds ratio 1.96, p = 0.03; AMC: 2.27, <0.01). Screening was associated with decreased odds of late diagnosis (SNH: 0.46, p = 0.04; AMC: 0.37, p < 0.01). CONCLUSIONS: Black race was associated with late diagnosis of HCC, while screening was associated with early diagnosis across institutional types. These results suggest socially constructed racial bias in screening and diagnosis of HCC. Screening efforts targeting SNH patients and Black patients at all facilities are essential to reduce disparities.

Social Genomic Determinants of Health: Understanding the Molecular Pathways by Which Neighborhood Disadvantage Affects Cancer Outcomes.

PURPOSE: Neighborhoods represent complex environments with unique social, cultural, physical, and economic attributes that have major impacts on disparities in health, disease, and survival. Neighborhood disadvantage is associated with shorter breast cancer recurrence-free survival (RFS) independent of individual-level (race, ethnicity, socioeconomic status, insurance, tumor characteristics) and health system-level determinants of health (receipt of guideline-concordant treatment). This persistent disparity in RFS suggests unaccounted mechanisms such as more aggressive tumor biology among women living in disadvantaged neighborhoods compared with advantaged neighborhoods. The objective of this article was to provide a clear framework and biological mechanistic explanation for how neighborhood disadvantage affects cancer survival. METHODS: Development of a translational epidemiological framework that takes a translational disparities approach to study cancer outcome disparities through the lens of social genomics and social epigenomics. RESULTS: The social genomic determinants of health, defined as the physiological gene regulatory pathways (ie, neural/endocrine control of gene expression and epigenetic processes) through which contextual factors, particularly one's neighborhood, can affect activity of the cancer genome and the surrounding tumor microenvironment to alter disease progression and treatment outcomes. CONCLUSION: We propose a novel, multilevel determinants of health model that takes a translational epidemiological approach to evaluate the interplay between political, health system, social, psychosocial, individual, and social genomic determinants of health to understand social disparities in oncologic outcomes. In doing so, we provide a concrete biological pathway through which the effects of social processes and social epidemiology come to affect the basic biology of cancer and ultimately clinical outcomes and survival.

Associations Between Perceived Discrimination, Screening Mammography, and Breast Cancer Stage at Diagnosis: A Prospective Cohort Analysis.

BACKGROUND: Despite higher breast cancer screening rates, black women still are more likely to have late-stage disease diagnosed. This disparity is influenced in part by structural and interpersonal racism. This prospective study sought to determine how interpersonal factors, including perceived discrimination, influence screening and stage of disease at diagnosis. METHODS: A prospective cohort study analyzed adult women with stages I to IV breast cancer from the Miami Breast Cancer Disparities Study. Perceived discrimination and mistrust of providers were assessed using previously validated questionnaires. Multivariable logistic regression was used to evaluate the odds of screening mammography utilization and late-stage breast cancer at diagnosis. RESULTS: The study enrolled 342 patients (54.4 % Hispanic, 15.8 % white, and 17.3 % black). Multivariate regression, after control for both individual- and neighborhood-level factors, showed that a higher level of perceived discrimination was associated with greater odds of late-stage disease (adjusted odds ratio [aOR], 1.06; range, 1.01-1.12); p = 0.022) and lower odds of screening mammography (aOR, 0.96; range, 0.92-0.99; p = 0.046). A higher level of perceived discrimination also was negatively correlated with multiple measures of provider trust. DISCUSSION: This study identified that high perceived level of discrimination is associated with decreased odds of ever having a screening mammogram and increased odds of late-stage disease. Efforts are needed to reach women who experience perceived discrimination and to improve the patient-provider trust relationship because these may be modifiable risk factors for barriers to screening and late-stage disease presentation, which ultimately have an impact on breast cancer survival.

Correction: Jain et al. Proteomic Approach for Comparative Analysis of the Spike Protein of SARS-CoV-2 Omicron (B.1.1.529) Variant and Other Pango Lineages. Proteomes 2022, 10, 34.

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Axillary management and long-term oncologic outcomes in breast cancer patients with clinical N1 disease treated with neoadjuvant chemotherapy.

BACKGROUND: Low false negative rates can be achieved with sentinel lymph node biopsy (SLNB) after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients with clinical N1 (cN1) disease. We examined changes in axillary management and oncologic outcomes in BC patients with cN1 disease receiving NAC. METHODS: BC patients with biopsy proven cN1 disease treated with NAC were selected from our institutional cancer registry (2014-2017). Patients were grouped by axillary management, axillary lymph node dissection (ALND), SLNB followed by ALND, or SLNB alone. Univariable and multivariable survival analysis for recurrence-free survival (RFS) and overall survival (OS) were performed. RESULTS: 81 patients met inclusion criteria: 31 (38%) underwent ALND, 25 (31%) SLNB + ALND, and 25 (31%) SLNB alone. A SLN was identified in 45/50 (90%) patients who had SLNB. ALND was performed in 25/50 (50%) patients who had SLNB: 18 for a + SLNB, 5 failed SLNB, and 2 insufficient SLNs. 25 patients had SLNB alone, 17 were SLN- and 8 SLN+. In the SLNB alone group, 23/25 (92%) patients received adjuvant radiation (RT). 20 (25%) patients developed BC recurrence: 14 distant (70%), 3 local (15%), 2 regional + distant (10%), and 1 contralateral (5%). In the SLNB alone group, there was 1 axillary recurrence in a patient with a negative SLNB who did not receive RT. Univariable survival analysis showed significant differences in RFS and OS between axillary management groups, ALND/SLNB + ALND vs. SLNB alone (RFS: p = 0.006, OS: p = 0.021). On multivariable survival analysis, worse RFS and OS were observed in patients with TNBC (RFS: HR 3.77, 95% CI 1.70-11.90, p = 0.023; OS: HR 8.10, 95% CI 1.84-35.60, p = 0.006). CONCLUSIONS: SLNB alone and RT after NAC in BC patients with cN1 disease who have negative SLNs at surgery provides long-term regional disease control. This analysis provides support for the practice of axillary downstaging with NAC and SLNB alone.

Does structural racism impact receipt of NCCN guideline-concordant breast cancer treatment?

PURPOSE: Disparities in breast cancer survival remain a challenge. We aimed to analyze the effect of structural racism, as measured by the Index of Concentration at the Extremes (ICE), on receipt of National Cancer Center Network (NCCN) guideline-concordant breast cancer treatment. METHODS: We identified patients treated at two institutions from 2005 to 2017 with stage I-IV breast cancer. Census tracts served as neighborhood proxies. Using 5-year estimates from the American Community Survey, 5 ICE variables were computed to create 5 models, controlling for economic segregation, non-Hispanic Black (NHB) segregation, NHB/economic segregation, Hispanic segregation, and Hispanic/economic segregation. Multi-level logistic regression models were used to determine the association between individual and neighborhood-level characteristics on receipt of NCCN guideline-concordant breast cancer treatment. RESULTS: 5173 patients were included: 55.2% were Hispanic, 27.5% were NHW, and 17.3% were NHB. Regardless of economic or residential segregation, a NHB patient was less likely to receive appropriate treatment [(OR)Model1 0.58 (0.45-0.74); ORModel2 0.59 (0.46-0.78); ORModel3 0.62 (0.47-0.81); ORModel4 0.53 (0.40-0.69); ORModel5 0.59(0.46-0.76); p < 0.05]. CONCLUSION: To our knowledge, this is the first analysis assessing receipt of NCCN guideline-concordant treatment by ICE, a validated measure for structural racism. While much literature emphasizes neighborhood-level barriers to treatment, our results demonstrate that compared to NHW patients, NHB patients are less likely to receive NCCN guideline-concordant breast cancer treatment, independent of economic or residential segregation. Our study suggests that there are potential unaccounted individual or neighborhood barriers to receipt of appropriate care that go beyond economic or residential segregation.

Neighborhood Disadvantage and Breast Cancer-Specific Survival in the US.

Importance: Despite improvements in breast cancer screening, treatment, and survival, disparate breast cancer-specific survival outcomes persist, particularly in disadvantaged neighborhoods. Most of these disparities are attributed to disparities in individual, tumor, and treatment characteristics. However, a critical knowledge gap exists as to whether disparities in breast cancer-specific survival remain after accounting for individual, tumor, and treatment characteristics. Objective: To evaluate if neighborhood disadvantage is associated with shorter breast cancer-specific survival after controlling for individual, tumor, and treatment characteristics in a national population. Design, Setting, and Participants: This national retrospective cohort study included patients with breast cancer diagnosed from 2013 to 2018 from the Surveillance, Epidemiology, and End Results 17 Census tract-level socioeconomic status and rurality database of the National Cancer Institute. Data analysis was performed from September 2022 to December 2023. Exposures: Neighborhood disadvantage measured by Yost index quintiles. Main Outcomes and Measures: Breast cancer-specific survival was evaluated using a competing risks cause-specific hazard model controlling for age, race, ethnicity, rurality, stage, subtype, insurance, and receipt of treatment. Results: A total of 350 824 patients with breast cancer were included; 41 519 (11.8%) were Hispanic, 39 631 (11.3%) were non-Hispanic Black, and 234 698 (66.9%) were non-Hispanic White. A total of 87 635 patients (25.0%) lived in the most advantaged neighborhoods (group 5) and 52 439 (14.9%) lived in the most disadvantaged neighborhoods (group 1). A larger number of non-Hispanic White patients (66 529 patients [76.2%]) lived in advantaged neighborhoods, while disadvantaged neighborhoods had the highest proportion of non-Hispanic Black (16 141 patients [30.9%]) and Hispanic patients (10 168 patients [19.5%]). Breast cancer-specific survival analysis found the most disadvantaged neighborhoods (group 1) had the highest risk of mortality (hazard ratio, 1.43; 95% CI, 1.36-1.50; P < .001) compared with the most advantaged neighborhoods. Conclusions and Relevance: In this national cohort study of patients with breast cancer, neighborhood disadvantage was independently associated with shorter breast cancer-specific survival even after controlling for individual-level factors, tumor characteristics, and treatment. This suggests potential unaccounted-for mechanisms, including both nonbiologic factors and biologic factors.

ZIP Code to Genomic Code: Neighborhood Disadvantage, Aggressive Breast Cancer Biology, and Breast Cancer Outcomes.

OBJECTIVE: To determine the association between objective (geospatial) and subjective (perceived) measures of neighborhood disadvantage (ND) and aggressive breast cancer tumor biology, defined using validated social adversity-associated transcription factor (TF) activity and clinical outcomes. BACKGROUND: ND is associated with shorter breast cancer recurrence-free survival (RFS), independent of individual, tumor, and treatment characteristics, suggesting potential unaccounted biological mechanisms by which ND influences RFS. METHODS: We quantified TF-binding motif prevalence within promoters of differentially expressed genes for 147 tissue samples prospectively collected on the protocol. Covariate-adjusted multivariable regression analyzed objective and subjective ND scores with 5 validated TFs of social adversity and aggressive biology-pro-inflammatory activity [nuclear factor-κB ( NF-kB ), activator protein 1 ( AP-1 )], sympathetic nervous system (SNS) activity [cyclic 3'-5' adenosine monophosphate response element-binding protein ( CREB )], and protective cellular responses [interferon-regulatory factor ( IRF ) and signal transducer and activator of transcription ( STAT )]. To clinically validate these TFs as prognostic biomarkers of aggressive biology, logistic regression and multivariable Cox proportional-hazards models analyzed their association with Oncotype DX scores and RFS, respectively. RESULTS: Increasing objective ND was associated with aggressive tumor biology (up-regulated NF-kB , activator protein 1, down-regulated IRF , and signal transducer and activator of transcription) and SNS activation (up-regulated CREB ). Increasing subjective ND (eg, threat to safety) was associated with up-regulated NF-kB and CREB and down-regulated IRF . These TF patterns were associated with high-risk Oncotype DX scores and shorter RFS. CONCLUSIONS: In the largest human social genomics study, objective and subjective ND were significantly associated with TFs of aggressive biology and SNS activation. These TFs also correlated with worse clinical outcomes, implicating SNS activation as one potential mechanism behind ND survival disparities. These findings remain to be validated in a national cohort.

Nurturing innovation, catalyzing change: Honoring the legacy of Dr. C. Barr Taylor in the eating disorders field.

This Virtual Issue of the International Journal of Eating Disorders honors the legacy of the late Dr. C. Barr Taylor in the eating disorders (EDs) field. For decades, Dr. Taylor led the way in not only conducting the research needed to achieve the ultimate goal of making affordable, accessible, and evidence-based care for EDs available to all, but also nurturing the next generation of scientific leaders and innovators. Articles included in this Virtual Issue are a selection of Dr. Taylor's published works in the Journal in the past decade, spanning original research, ideas worth researching, commentaries, and a systematic review. We hope this Virtual Issue will inspire the next generation of research in EDs, and equally, if not more importantly, the next generation of young investigators in the field. We urge the field to continue and build upon Dr. Taylor's vision-to increase access to targeted prevention and intervention for EDs in innovative and forward-thinking ways-while embracing his unique and powerful mentorship style to lift up early career investigators and create a community of leaders to address and solve our field's biggest challenges.

Unmet Social Needs and Breast Cancer Screening Utilization and Stage at Presentation.

Importance: Unmet social needs in local populations may hinder the development of targeted cancer control interventions aimed at improving screening utilization and early-stage breast cancer diagnosis to ultimately improve breast cancer survival disparities. Objective: To evaluate if (1) city-funded screening mammography is associated with utilization of screening mammography, (2) unmet social needs are associated with utilization of screening mammography, and (3) unmet social needs are associated with later-stage disease at diagnosis. Design, Setting, and Participants: This cohort study included patients with stages I-IV invasive ductal or lobular carcinoma treated at an academic medical center (including both an underserved safety-net hospital [SNH] and a National Cancer Institute-designated academic cancer center [ACC]) from 2020 to 2023. Eligible patients were aged 18 years or older and able to consent. Data were analyzed between July 2023 and September 2023. Exposure: The Health Leads Social Needs Screening Toolkit, a screening tool that gathers information on the most common social need domains affecting patient health. Main Outcomes and Measures: Univariable and multivariable logistic regression was utilized to evaluate the following primary outcomes: (1) routine screening mammography and (2) American Joint Committee on Cancer 8th edition clinical stage at presentation. Results: Of the 322 women who completed the Health Leads Social Needs Screening Toolkit, 201 (62%) self-identified as Hispanic, 63 (19%) as non-Hispanic Black, and 63 (19%) as non-Hispanic White. Two hundred fifty-five (76%) patients with access to city-funded screening mammography completed a screening mammogram. Patients who presented to the SNH were more likely to present with late-stage disease compared with early-stage disease (15 of 48 [31%] vs 50 of 274 [18%]; P = .04). On multivariable logistic regression, not completing a screening mammography was associated with having an increasing number of unmet social needs (OR, 0.74; 95% CI, 0.55-0.99; P = .047) and an increasing age at diagnosis (OR, 0.92; 95% CI, 0.89-0.96; P < .001). Moreover, increasing unmet social needs was significantly associated with late-stage diagnosis above and beyond screening mammography (OR, 1.38; 95% CI, 1.01-1.89; P = .04). Conclusions and Relevance: In this cohort study, access to screening mammography did not translate to utilization of screening mammography, increasing unmet social needs were significantly associated with lower rates of screening mammography, and those with increasing unmet social needs were more likely to present with late-stage disease. This association transcended recruitment site (SNH vs ACC), indicating that patients in either hospital setting may benefit from unmet social needs screening to overcome access to care barriers associated with late-stage disease at diagnosis.

A Multi-institutional Analysis of Factors Influencing the Rate of Positive MRI Biopsy Among Women with Early-Stage Breast Cancer.

BACKGROUND: The use of preoperative magnetic resonance imaging (MRI) for early-stage breast cancer (ESBC) is increasing, but its utility in detecting additional malignancy is unclear and delays surgical management (Jatoi and Benson in Future Oncol 9:347-353, 2013. https://doi.org/10.2217/fon.12.186 , Bleicher et al. J Am Coll Surg 209:180-187, 2009. https://doi.org/10.1016/j.jamcollsurg.2009.04.010 , Borowsky et al. J Surg Res 280:114-122, 2022. https://doi.org/10.1016/j.jss.2022.06.066 ). The present study sought to identify ESBC patients most likely to benefit from preoperative MRI by assessing the positive predictive values (PPVs) of ipsilateral and contralateral biopsies. METHODS: A retrospective cohort study included patients with cTis-T2N0-N1 breast cancer from two institutions during 2016-2021. A "positive" biopsy result was defined as additional cancer (PositiveCancer) or cancer with histology often excised (PositiveSurg). The PPV of MRI biopsies was calculated with respect to age, family history, breast density, and histology. Uni- and multivariate logistic regression determined whether combinations of age younger than 50 years, dense breasts, family history, and pure ductal carcinoma in situ (DCIS) histology led to higher biopsy yield. RESULTS: Of the included patients, 447 received preoperative MRI and 131 underwent 149 MRI-guided biopsies (96 ipsilateral, 53 contralateral [18 bilateral]). PositiveCancer for ipsilateral biopsy was 54.2%, and PositiveCancer for contralateral biopsy was 17.0%. PositiveSurg for ipsilateral biopsy was 62.5%, and PositiveSurg for contralateral biopsy was 24.5%. Among the contralateral MRI biopsies, patients younger than 50 years were less likely to have PositiveSurg (odds ratio, 0.02; 95% confidence interval, 0.00-0.84; p = 0.041). The combinations of age, density, family history, and histology did not lead to a higher biopsy yield. CONCLUSION: Historically accepted factors for recommending preoperative MRI did not appear to confer a higher MRI biopsy yield. To prevent delays to surgical management, MRI should be carefully selected for individual patients most likely to benefit from additional imaging.

Associations Between Neighborhood-Level Income and Triple-Negative Breast Cancer in a Majority-Minority Population.

BACKGROUND: Previous studies on disparities in triple-negative breast cancer (TNBC) focus on race/ethnicity, with few exploring the impact of contextual factors such as neighborhood-level income. This study evaluates the effect of neighborhood-level income on disparities in TNBC among a racially and ethnically diverse cohort, after accounting for granular individual-level risk factors of TNBC. PATIENTS AND METHODS: Patients with stage I-IV breast cancer from 2005 to 2017 were identified from our local tumor registry. The primary outcome was diagnosis of TNBC. Using 5-years estimates from the American Community Survey, we obtained median household income for each census tract which was categorized into quartiles. Mixed effects logistic regression was conducted and stratified by race and ethnicity, controlling for individual-level sociodemographic, comorbidities, and tumor characteristics. RESULTS: Among 5377 breast cancer registry patients, 16.5% were diagnosed with TNBC. The majority were Hispanic (50.1%) followed by non-Hispanic Black (NHB) (28.0%). After controlling for individual-level covariables including race and ethnicity, comorbidities, and tumor characteristics, women from low-income neighborhoods had increased odds of TNBC compared with other breast cancer subtypes, compared with those in high-income neighborhoods [odds ratio (OR) 1.33; 95% confidence interval (CI) 1.04, 1.70, p < 0.001]. In stratified analyses, NHB patients from low-income neighborhoods had two times the odds of TNBC diagnosis compared with those from high-income neighborhoods (OR 2.11; 95% CI 1.02, 4.37). CONCLUSION: We found that living in a low-income neighborhood is associated with an increased odds of TNBC independent of granular individual-level TNBC risk factors, particularly NHB race. More striking, NHB living in low-income neighborhoods had increased odds of TNBC compared with NHB living in high-income neighborhoods. Our results suggest potential unaccounted gene-environment and/or social (api)genomic interactions between neighborhood-level income and TNBC subtype development.

A Multiscale Spatiotemporal Epidemiological Analysis of Neighborhood Correlates of Triple-Negative Breast Cancer.

BACKGROUND: Women living in disadvantaged neighborhoods present with increased prevalence rates of triple-negative breast cancer (TNBC). This study takes a spatiotemporal epidemiological approach to understand the impact of socioenvironmental contextual factors on TNBC prevalence rates. METHODS: We analyzed 935 TNBC cases from a major cancer center registry, between 2005 and 2017, to explore spatial and space-time clusters of TNBC prevalence rates at the census tract and neighborhood scales. Spatial regression analysis was performed to examine relationships between nine socioenvironmental factors and TNBC prevalence rates at both ecological scales. RESULTS: We observed spatial clustering of high TNBC prevalence rates along a north-south corridor of Miami-Dade County along Interstate 95, a region containing several majority non-Hispanic Black neighborhoods. Among the ecologic measures, the percent of a region designated as a brownfield was associated with TNBC prevalence rates at the tract-level (ß = 4.27; SE = 1.08; P < 0.001) and neighborhood-level (ß = 8.61; SE = 2.20; P < 0.001). CONCLUSIONS: Our spatiotemporal analysis identified robust patterns of hot spots of TNBC prevalence rates in a corridor of several disadvantaged neighborhoods in the northern half of the county. These patterns of TNBC align with the literature regarding at-risk groups and neighborhood-level effects on TNBC; however, remain to be validated in a population-based sample. IMPACT: Spatial epidemiological approaches can help public health officials and cancer care providers improve place-specific screening, patient care, and understanding of socioenvironmental factors that may shape breast cancer subtype through gene-environment and epigenetic interactions.