Purpose Although surgical resection is the main modality of treatment for breast cancer, some patients elect to refuse the recommended surgery. We assessed racial and ethnic differences in women 40 years and older who received or refused to receive surgical treatment for breast cancer in the USA and whether racial disparities in mortality were affected by their differences in the prevalence of refusal for surgical treatment. Methods We studied 277,127 women with breast cancer using the Surveillance, Epidemiology, and End Results (SEER) data and performed multivariable logistic regressions to investigate the association between surgery status of breast cancer and race/ethnicity. Additionally, we performed Cox regression analyses to determine the predictors of mortality outcomes. Results Of 277,127 patients with breast cancer, 1468 (0.53%) refused to receive the recommended surgical treatment in our cohort. Non-Hispanic Black women were 112% more likely to refuse the recommended surgical treatment for breast cancer compared to their non-Hispanic White counterparts [adjusted odds ratio: 2.12, 95% confidence interval (CI) 1.82–2.47]. Women who underwent breast-conserving surgery [hazards ratio (HR) 0.15, 95% CI 0.13–0.16] and mastectomy (HR 0.21, 95% CI 0.18–0.23) had lower hazard ratios of mortality as compared to women who refused the recommended treatment after adjusting for covariates. Conclusion Race/ethnicity was associated with refusal for the recommended surgery, especially among non-Hispanic Black women. Also, surgery refusal was associated with a higher risk of all-cause and breast cancer-related mortality. These disparities stress the need to tailor interventions aimed at raising awareness of the importance of following physician recommendations among minorities.

Background: Primary cardiac sarcomas (PCS) are extremely rare malignant tumors involving the heart. Only isolated case reports have been described in the literature over different periods of time. This pathology has been associated with a dismal prognosis and given its rarity; treatment options are very limited. Furthermore, there are contrasting data about the effectiveness of current treatment modalities in improving the survival of patients with PCS, including surgical resection which is the mainstay of therapy. There is a paucity of data on the epidemiological characteristics of PCS. This study has the objective of investigating the epidemiologic characteristics, survival outcomes, and independent prognostic factors of PCS. Methods: A total of 362 patients were ultimately registered in our study from the Surveillance, Epidemiology, and End Results (SEER) database. The study period was from 2000 to 2017. Demographics such as clinical characteristics, overall mortality (OM), and PCS-specific mortality (CSM) were taken into account. A p value of <0.1 in the univariate analysis leads to the incorporation of the variable into multivariate analysis adjusting for covariates. Adverse prognostic factors were represented by a Hazard Ratio (HR) greater than one. The five-year survival analysis was carried out using the Kaplan–Meier method and the log-rank test was used to compare survival curves. Results: Crude analysis revealed a high OM in age 80+ (HR = 5.958, 95% CI 3.357–10.575, p < 0.001), followed by age 60–79 (HR = 1.429, 95% CI 1.028–1.986, p = 0.033); and PCS with distant metastases (HR = 1.888, 95% CI 1.389–2.566, p < 0.001). Patients that underwent surgical resection of the primary tumor and patients with malignant fibrous histiocytomas (HR = 0.657, 95% CI 0.455–0.95, p = 0.025) had a better OM (HR = 0.606, 95% CI 0.465–0.791, p < 0.001). The highest cancer-specific mortality was observed in age 80+ (HR = 5.037, 95% CI 2.606–9.736, p < 0.001) and patients with distant metastases (HR = 1.953, 95% CI 1.396–2.733, p < 0.001). Patients with malignant fibrous histiocytomas (HR = 0.572, 95% CI 0.378–0.865, p = 0.008) and those who underwent surgery (HR = 0.581, 95% CI 0.436–0.774, p < 0.001) had a lower CSM. Patients in the age range 80+ (HR = 13.261, 95% CI 5.839–30.119, p < 0.001) and advanced disease with distant metastases (HR = 2.013, 95% CI 1.355–2.99, p = 0.001) were found to have a higher OM in the multivariate analyses adjusting for covariates). Lower OM was found in patients with rhabdomyosarcoma (HR = 0.364, 95% CI 0.154–0.86, p = 0.021) and widowed patients (HR = 0.506, 95% CI 0.263–0.977, p = 0.042). Multivariate cox proportional hazard regression analyses of CSM also revealed higher mortality of the same groups, and lower mortality in patients with Rhabdomyosarcoma. Conclusion: In this United States population-based retrospective cohort study using the SEER database, we found that cardiac rhabdomyosarcoma was associated with the lowest CSM and OM. Furthermore, as expected, age and advanced disease at diagnosis were independent factors predicting poor prognosis. Surgical resection of the primary tumor showed lower CSM and OM in the crude analysis but when adjusted for covariates in the multivariate analysis, it did not significantly impact the overall mortality or the cancer-specific mortality. These findings allow for treating clinicians to recognize patients that should be referred to palliative/hospice care at the time of diagnosis and avoid any surgical interventions as they did not show any differences in mortality. Surgical resection, adjuvant chemotherapy, and/or radiation in patients with poor prognoses should be reserved as palliative measures rather than an attempt to cure the disease.

Although Socioeconomic status (SES), race/ethnicity, and surgical type/delays are associated with breast cancer mortality outcomes, studies on these associations have been contrasting. This study examined the racial/ethnic and SES differences in surgical treatment types and delays. Also, we quanti ed the extent to which these differences explained the racial/ethnic disparities in breast cancer mortality. MethodsWe studied 290,066 women 40 + years old diagnosed with breast cancer between 2010 and 2017 identi ed from the Surveillance, Epidemiology, and End Results database. We performed logistic regression models to examine the association of SES and race/ethnicity with surgical treatment type and delays. We performed mediation analysis models to quantify the extent to which mortality differences were mediated by treatment, sociodemographic, and clinicopathologic factors. ResultsNon-Hispanic (NH) Black [Odds ratio (OR) = 1.16, 95% CI: 1.13-1.19] and Hispanic women [OR = 1.27, 95% CI: 1.24-1.31] were signi cantly more likely to undergo mastectomy compared to NH White women. Similarly, NH Black and Hispanic women had higher odds of delayed surgical treatment than NH Whites.Patients in the highest SES quintile, compared to those in lowest the lowest, were less likely to experience breast cancer-speci c mortality (BCSM). Variations in treatment, SES, and clinicopathological factors signi cantly explained 70% of the excess BCSM among NH Blacks compared to their NH White counterparts. ConclusionsBridging the gap of access to adequate healthcare services for all to diminish the disproportionate burden of breast cancer would require a multifactorial approach that addresses several biological and social factors that cause these differences.This retrospective cohort study used data from the Surveillance, Epidemiology, and End Results (SEER) research plus 18 registries' specialized census tractlevel SES and rurality dataset released in November 2020. SEER is a cancer surveillance program supported by the National Cancer Institutes (NCI) that serves as the primary source of reliable incidence and survival data in the US. [21]. A detailed database and data collection description can be found elsewhere [21].The study subjects were de-identi ed, and there was no patient contact; thus, the study was exempted from an Institutional Review Board's (IRB) approval.We use SEER*stat version 8.4.0 and identi ed 403,791 women, 40 years old or older, diagnosed with breast cancer as the rst primary cancer between January 2010 and December 2017. From the 403,791 women, our study only included patients who underwent surgery and excluded those who were not recommended for surgery, declined recommended surgery, or had unknown surgery status. In addition, we excluded patients with distant tumor stages, grade IV tumors, and those diagnosed during an autopsy. Lastly, we excluded patients with unknown breast cancer subtypes, tumor grade, tumor stage, tumor site, race, SES, marital status, or rurality. Hence, the sample size used in our analysis was ...