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Reduced racial disparity in receipt of optimal locoregional treatment for women with early-stage breast cancer

  • Hasan Nadeem,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Visualization, Writing – original draft, Writing – review & editing

    Affiliations Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States of America, Department of Medicine, University of Washington, Seattle, WA, United States of America

  • John A. Romley,

    Roles Conceptualization, Project administration, Writing – review & editing

    Affiliations USC Schaeffer Center for Health Policy and Economics, Los Angeles, CA, United States of America, USC School of Pharmacy, Los Angeles, CA, United States of America, USC Price School of Public Policy, Los Angeles, CA, United States of America

  • Shaneda Warren Andersen

    Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    snandersen@wisc.edu

    Affiliations Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States of America, University of Wisconsin Carbone Cancer Center, Madison, WI, United States of America

Abstract

Introduction

Racial disparities in breast cancer treatment contribute to Black women having the worst breast cancer survival rates in the U.S. We investigated whether differences in receipt of optimal locoregional treatment (OLT), defined as receipt of mastectomy, breast-conserving surgery, or no surgery when contraindicated, existed between Black and White women with early-stage breast cancer from 2008–2018.

Methods

In this retrospective cohort study, data from the Surveillance, Epidemiology, and End Results (SEER) Program Incidence Database was utilized to identify tumor cases from Black and White women aged 20–64 years old with stage I-II breast cancer. Logistic regression analyses were used to evaluate the associations between race and receipt of OLT as well as potential effect modification by tumor characteristics, and year of diagnosis.

Results

Among 177,234 women diagnosed with early-stage breast tumors, disparities in OLT between Black and White women were present from 2008–2010 (2008: 82.1% Black vs. 85.7% White, p<0.001; 2009: 82.1% Black vs. 85.8% White, p<0.001; 2010: 82.2% Black vs. 87.2% White, p<0.001). This disparity was eliminated between 2010–2011 (86.3% Black vs. 87.5% White, p = 0.15), and did not reoccur during the remainder of the study period. From 2010–2011, more Black women received radiation therapy following breast-conserving surgery (43.4% to 48.9%; p = 0.001), which accounted for an overall increased receipt of OLT.

Conclusion

Increased receipt of radiation therapy with breast-conserving surgery appeared to drive a substantial increase in OLT for Black women from 2010–2011 that lasted throughout the study period. Further research on the underlying mechanisms that reduced this disparity is warranted.

Introduction

Breast cancer is the second leading cause of cancer death in women in the United States, where 43,700 women are expected to die of the disease in 2023 [1]. Currently, the 5-year survival rate for localized breast cancer is over 99% [2]; however, favorable survival statistics are not equitably distributed across race or ethnicity. Black and White women experience similar disease incidence, yet Black women are more likely to die from the disease (28.4 deaths per 100,000 vs. 20.3 per 100,000 for Black and White women, respectively) [3]. The reasons for this differential mortality are multifactorial, some of which include: clustering of more aggressive breast tumor phenotypes in Black women [4, 5], as well as environmental and structural racism that lead to diagnostic delays [68]. For instance, studies show that for Black women, place of residence and area-level poverty are related to a delayed diagnosis of breast cancer resulting in increased tumor size and stage at diagnosis [911]. However, even among women who have similar tumor biology, stage, and size, disproportionately poor outcomes persist for Black women with breast cancer [12], suggesting that disparate treatment may contribute to adverse outcomes for Black women.

Among women with operable breast tumors, Black women are less likely than White women to receive surgical resection of the tumor by breast-conserving surgery (BCS) or radical mastectomy [13]. Furthermore, it has been shown that Black women are less likely to receive radiation therapy following breast-conserving surgery [14]. Yeboa et al. conducted a Surveillance Epidemiology, and End Results (SEER) study that showed a racial disparity in receipt of radiation therapy following breast-conserving surgery between Black and White women prior to 2010 [15]. Importantly, a more recent study in a single US state (Georgia) from 2012–2016 found no association between receipt of radiation therapy and race which is indicative of signs of improvement in access to radiation therapy following breast-conserving surgery [16]. Nonetheless, it remains unclear whether disparities in first-course of locoregional treatment for breast cancer exist among Black and White women with early-stage tumors at the national level.

The aim of this study was to compare the receipt of optimal locoregional treatment of early-stage breast cancer between Black and White women. We focus on the racial group of Black racial identity because there is a longstanding, persistent racial disparity where Black women have the worst breast cancer survival rates of all racial groups in the US. To investigate this aim, we employed a retrospective cohort design utilizing the National Cancer Institute (NCI) SEER Research Plus Incidence Database to identify Black and White women between the ages 20–64 years old with a diagnosis of operable breast cancer to evaluate the association between Black race and receipt of optimal locoregional therapy.

Methods

Study sample

The SEER database, sponsored by the NCI, collects incidence data from eighteen population-based registries that cover approximately 34.6% of the United States population [17]. Data collected by SEER is de-identified prior to public dissemination, thus ethics committee/IRB approval was waived. Similarly, the requirement for informed consent was also waived. We performed a retrospective cohort analysis utilizing the SEER Incidence Research Plus Database to abstract patient cases of 345,988 Black and White women between the ages of 20–64 who were diagnosed with early-stage breast tumors (stage I-II) from 2008–2018. We excluded women over age 64 for multiple reasons. Specifically, women over age 65 are enrolled in Medicare insurance which may influence their treatment decisions. Additionally, several studies published during the study period, including the PRIME II clinical trial [18], showed low utility of radiation therapy following breast-conserving surgery in women 65 years or older, and lastly, Medicare claims data is not available within our dataset. Additional exclusion criteria were applied in a stepwise manner beginning with tumor stage equal to 0 or greater than II (n = 60,292), unknown tumor size or size greater than 2.0 cm (n = 108,080), followed by patient death prior to treatment (n = 34), and lastly a tumor histology consistent with: transitional cell papillomas and carcinomas, adnexal and skin appendage neoplasms, mucoepidermoid neoplasms, nevi or melanoma, soft tissue tumor or sarcoma, fibromatous neoplasm, complex mixed and stromal neoplasms, synovial-like neoplasm, or blood vessel tumors (n = 348). The final sample used for analysis consisted of 177,234 women with early-stage breast cancer.

Study variables

The outcome variable was optimal locoregional therapy, which was defined using the guidelines developed by the 2019 National Comprehensive Cancer Network (NCCN) Practice Guidelines in Oncology [19]. Optimal locoregional treatment is defined as: as receipt of mastectomy, breast-conserving surgery followed by radiation therapy, or no surgery due to contraindications/comorbidities. Women were defined as having undergone mastectomy if they were coded to have a simple mastectomy, bilateral mastectomy, modified radical mastectomy, radical mastectomy, or extended radical mastectomy. Breast-conserving surgery was defined as women who were coded to have undergone a partial mastectomy (including partial mastectomy with nipple resection, lumpectomy or excisional biopsy, re-excision of the biopsy site, segmental mastectomy, or subcutaneous mastectomy also called nipple-sparing mastectomy). Patients that received beam radiation, radioactive implants, radioisotopes, combined radiotherapy, or radiation not otherwise specified, were defined to have received radiation therapy. Variable codes that met the criteria for receipt of optimal locoregional therapy were surgery that was performed and designated as mastectomy (as defined above), surgery that was performed and designated as breast-conserving surgery (as defined above) concomitant with a code for receipt of radiation therapy, or no surgery because it was not recommended or was contraindicated due to other medical conditions. Non-optimal treatment was defined as individuals who underwent breast-conserving surgery but did not receive radiation therapy thereafter or individuals who did not receive recommended surgery.

Previous iterations of archived guidelines were also reviewed and though there were slight variations in guideline recommendations, such as type of radiation treatment changing to unfractionated from fractionated, the indications for breast cancer surgery remained the same and did not impact the definition of optimal locoregional treatment. We further selected for patients with a discretionary indication for surgery (local therapy) and opted to select for breast tumors <2.0 cm in size such that tumor size would not influence the type of cancer-directed surgery (mastectomy vs. breast-conserving surgery) or introduce a non-surgical first-course of treatment (e.g. neoadjuvant chemo-/radiotherapy) [20]. Histologic subtypes with a non-surgical first-course of treatment (e.g. inflammatory breast cancer or melanoma) or low frequency of counts were excluded from the analysis.

The explanatory variable was a categorial variable for women coded as Black or White race as recorded by the NCI. Cancer registries use various data sources to abstract a coding for race, which includes patient intake forms, medical records, administrative databases, and death certificates [21]. One study comparing SEER records to self-reported Census Bureau survey data shows that concordance is highly sensitive for Black (91%) and White (99%) individuals, while the sensitivity for agreement is much lower for multiracial and American Indian/Alaskan Native (AIAN) groups (<40%) [22].

Demographic variables were age group (>19 and <45, 45–54, and 55–64) and marital status coded by single, married, separated, divorced, widowed, unmarried, or unknown. The SEER Incidence Research Plus database utilized several variables to define breast tumor stage depending on the year of diagnosis: the American Joint Committee on Cancer (AJCC) 6th edition staging for cases prior to 2016, the derived SEER Combined Stage Group for breast cancer cases diagnosed in 2016 and 2017, and the Extent of Disease (EOD) summary stage criteria for breast cancer cases diagnosed in 2018. Tumor stage variables were created for consistency and to identify tumors that fell into the stage categories: IA, IB, IIA, and IIB.

Regarding tumor biology characteristics, the variables utilized in the analysis were tumor size, subtype, grade, and histology. Tumor size categories were 0–1.0 cm and 1.1–2.0 cm. Tumor subtype data was not available for cases prior to 2010. For cases after 2010, tumor subtype is coded by HER2 status (positive, negative, or unknown) and Hormone Receptor (HR) status (ER positive, negative, or unknown and/or PR positive, negative, or unknown). Tumor grade is classified as I-IV (well-differentiated, moderately-differentiated, poorly-differentiated, and undifferentiated). In the year 2018, the SEER Incidence database introduced the clinical grade and pathologic grade variables. The former is a recording of tumor grade determined prior to treatment and was utilized in our study for breast tumors diagnosed in 2018. Finally, our study incorporated a broad range of breast tumor histologies (with the exception of those mentioned in the exclusion criteria above) and the full list of histologies documented within the SEER 2020 Research Plus Incidence dataset can be referenced in the November 2020 submission data description [23]. For brevity, the histologic subtypes in this analysis were classified as ductal/lobular or non-ductal/lobular.

Statistical analysis

A descriptive statistical analysis on sociodemographic, tumor biology, and treatment factors was performed. All statistical T-tests were two-tailed and evaluated at a significance level of 0.05. Multivariable logistic regression was used to evaluate the relationship between race and receipt of optimal locoregional therapy. The outcome variable is defined by receipt of mastectomy, breast-conserving surgery with radiation therapy, or no surgery due to contraindications. It is coded as a binary (yes/no) variable in which no would be breast-conserving surgery without radiation therapy or no surgery without contraindications. The primary exposure variable was Black or White race. We performed univariate regression analyses for each control covariate (e.g. age group, tumor size, etc.) that was included in the full model as well as the explanatory variable (race) on the outcome variable (receipt of optimal locoregional therapy). The univariate analysis output is displayed alongside the full multivariate regression output in the S1 Table.

The overall model included adjustment with patient sociodemographic covariates (age group at diagnosis and marital status) as well as tumor characteristic covariates (tumor stage, size, grade, and histology). Prior to 2010, a persistent disparity was observed between Black and White individual’s receipt of radiation therapy following breast-conserving surgery [15]. However, an updated study (2012–2016) on women undergoing breast cancer surgery in Georgia showed improvements in access to radiation therapy [16]. With the background information, we hypothesized that a national increase in access to radiation therapy due to secular changes such as the passing of the Affordable Care Act might differentially impact Black and White women. For this reason, we tested the multiplicative interaction term between race and year of diagnosis, which allowed for a more granular assessment on yearly changes in receipt of optimal locoregional treatment for Black women compared to White women. The tumor subtype variable was not recorded for cases prior to 2010 and included in statistical models when available. All statistical analyses were completed using Stata, version 17.0.

Results

Descriptive characteristics

Our sample included 177,234 women that were diagnosed with early-stage breast cancer. The study sample was 88.61% White, 63.00% married, and 50.28% within the age group of 55–64 years old (Table 1). White women were diagnosed with breast cancer at an older age compared to Black women. There were fewer Black women diagnosed with early-stage breast tumors in the age group of 55–64 years of age (48.22% Black vs. 50.55% White, p<0.001), yet more Black women with breast tumors in the age group of 20–44 years of age (16.42% Black vs. 13.67% White, p<0.001).

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Table 1. Descriptive characteristics stratified by race, SEER data 2008–2018.

https://doi.org/10.1371/journal.pone.0291025.t001

Tumor stage & biology

Most women in our sample were diagnosed with stage IA breast cancer (82.75%), followed by stage IIA (15.38%). Most tumor samples exhibited the following tumor biology: a tumor subtype that is HR-positive and HER2-negative (60.62%), a tumor size between 1.1–2.0cm (57.08%), tumor grade II (43.04%), and ductal or lobular tumor histology (96.04%).

Tumor characteristics varied by race. Black women were less likely to be diagnosed with stage IA tumors (78.80% Black vs. 83.26% White, p<0.001) (Fig 1). Additionally, the triple negative tumor subtype (i.e. HR-negative and HER2-negative) was more common in Black women (13.35% Black vs. 6.13% White, p<0.001). Among tumors <2.0cm, Black women were more likely to be diagnosed with a tumor larger than 1.0cm (60.35% Black vs. 56.66% White, p<0.001). Regarding tumor histopathology, Black women were more often diagnosed with grade III tumors (35.60% Black vs. 22.18% White, p<0.001) and a histological subtype other than lobular or ductal (4.40% Black vs. 3.91% White, p<0.001).

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Fig 1. Clinicopathologic characteristics for black and white women.

Stage 1 = Stage IA & Stage IB; Stage 2 = Stage IIA & Stage IIB p-value < 0.001 for all displayed tumor characteristics between Black and White women.

https://doi.org/10.1371/journal.pone.0291025.g001

Treatment

While breast-conserving surgery was the more common treatment option compared to mastectomy (64.53% vs. 33.62%, p<0.001), Black women received less breast-conserving surgery than White women (63.12% vs. 64.72%, p<0.001) over the study period. The rates of mastectomy were similar for both races (33.86% vs. 33.59%, p = 0.446). Black women experienced a 3.5% decrease in receipt of mastectomy from 2008 to 2018 and White women experienced a 7.8% decrease over the same period.

The total receipt of optimal locoregional therapy on average was high (85.60%) (Fig 2A). From 2008 to 2018, Black women experienced a 4.21% increase in receipt of optimal locoregional therapy, larger than the 0.63% increase in receipt of optimal locoregional therapy experienced by White women.

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Fig 2.

A. Receipt of optimal locoregional therapy stratified by race and year of diagnosis. B. Odds Ratio of Black Patients Receiving Optimal Locoregional Therapy by Year Relative to White Patients.

https://doi.org/10.1371/journal.pone.0291025.g002

Between 2008–2010, there was a disparity in receipt of optimal locoregional therapy between Black and White women. Receipt of optimal locoregional therapy for Black women was significantly less compared to White women in 2008 (82.07% Black vs. 85.73% White, p<0.001), 2009 (82.07% Black vs. 85.84% White, p<0.001), and 2010 (82.21% Black vs. 87.18% White, p<0.001). Between 2010 and 2011, Black women experienced a substantial increase in receipt of optimal locoregional therapy from 82.21% to 86.29%, which eliminated the treatment disparity between Black and White women (86.29% Black vs. 87.51% White, p = 0.1473). No difference was observed during the remainder of the study period.

Receipt of breast-conserving surgery with radiation therapy was a contributing factor for the initial racial disparity in receipt of optimal locoregional therapy (Fig 3). Prior to 2011, the receipt of breast-conserving surgery with radiation therapy was less than 46% for Black women whereas the receipt of breast-conserving surgery with radiation therapy for White women was greater than 48%. Between the years 2010 and 2011, the rate of breast-conserving surgery with radiation therapy increased substantially for Black women from 43.4% to 48.9%, which resulted in an equalization of receipt of breast-conserving surgery with radiation therapy between Black and White women starting in 2011 (48.9% Black vs. 50.1% White, p = 0.34). The increased receipt of breast-conserving surgery with radiation therapy after 2010 persisted throughout subsequent years and established a new floor for receipt of breast-conserving surgery with radiation therapy for Black women.

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Fig 3. Receipt of mastectomy vs. breast conserving surgery (breast-conserving surgery) + radiation therapy (radiation therapy) stratified by race and year of diagnosis.

https://doi.org/10.1371/journal.pone.0291025.g003

Black women exhibited a decrease in receipt of breast-conserving surgery with radiation therapy in 2017 (48.0%), which was accompanied by an increase in mastectomy for Black women during that same year (33.2%). While the decreased receipt of breast-conserving surgery with radiation therapy and increased receipt of mastectomy slightly increased the gap in receipt of optimal locoregional therapy between Black and White women, the magnitude of this effect did not reproduce the disparity between races (p = 0.33).

Multivariable regression analysis

Over the study period, Black race was associated with a lower likelihood of receiving optimal locoregional therapy (OR = 0.85; 95% CI: 0.74–0.98; p = 0.02) (Table 2). Predictive margins yield a point estimate of the conditional predicted mean of receipt of optimal locoregional therapy when covariates are held at fixed values. This is interpreted as the percent likelihood an individual of Black or White race would receive optimal locoregional therapy based upon the full multivariable regression model. Over the study period, the point estimate for receipt of optimal locoregional therapy for Black women is 85.46% (95% CI 84.98–85.94, p<0.001), compared to 85.61% for White women (95% CI 85.43–85.78, p<0.001).

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Table 2. Associations between selected patient characteristics and optimal locoregional therapy.

https://doi.org/10.1371/journal.pone.0291025.t002

When stratifying the multivariable regression analysis prior to vs. after the year 2011, we observe broader differences between the point estimates for Black and White womens’ receipt of optimal locoregional therapy. From 2008–2010, the point estimate for optimal locoregional therapy for Black women was 83.73% (95% CI: 82.73–84.73, p<0.001), compared to 86.07% for White women (95% CI: 85.74–86.40, p<0.001). From 2011–2018, the point estimate for Black women’s receipt of optimal locoregional therapy was 86.24% (95% CI: 85.70–86.78, p<0.001), which eclipses the estimation of 85.41% (95% CI: 85.21–85.62, p<0.001) for White women.

Our analysis showed a diminished racial difference in receipt of optimal locoregional therapy after 2010 (Fig 2B). Between 2010 and 2011, the OR associated with receipt of optimal locoregional therapy for Black women changed from 0.77 (95% CI: 0.67–0.89) to 1.03 (95% CI: 0.89–1.20).

Discussion

Principal findings

This study finds an increased receipt of optimal locoregional therapy for early-stage breast tumors among Black women that is attributable to an increase in receipt of radiation therapy following breast-conserving surgery.

Interpretation of Results

We place our results within the context of previous studies that have investigated potential causes of the adverse breast cancer outcomes experienced by Black Americans. We and others show Black women are diagnosed at a younger age with larger, more advanced and more aggressive tumors [3, 13, 24, 25]. Additionally, Black women are more often of lower socioeconomic status, measured in the present study by marital status, which is also linked to higher breast cancer mortality [2629]. Differences in tumor characteristics, socioeconomic status, and age at diagnosis suggest that Black women may continue to experience higher breast cancer mortality even as the racial disparity in optimal locoregional therapy is reduced.

Additionally, these differences in patient-level and tumor-level characteristics may influence breast cancer treatment decisions [3033].

Limitations and strengths

The present study has many notable strengths and weaknesses. Strengths of this study include the cohort design, and the timeliness of the analysis. Additionally, the SEER database is a large, nationally representative population-based patient sample. To ensure the disparity in optimal locoregional therapy was not a temporary trend, we performed sensitivity analyses that extended from the beginning of the study period and identified that the disparity in receipt of optimal locoregional therapy between Black and White women existed prior to 2008 as well. We also reincorporated the variable of insurance status (which was no longer recorded after 2016) and found that this did not affect our results from 2008–2016.

However, the study has specific limitations, including that SEER notes that collection of radiation therapy data is incomplete. However, analysis from one study evaluating the concordance between SEER data and SEER-Medicare data reported that SEER treatment data has a high positive predictive value and a sensitivity for radiation therapy greater than 80% [34]. Furthermore, this study showed that the positive predictive value and sensitivity of SEER radiation therapy did not vary greatly by race or ethnicity [34]. Another study found that overall agreement with SEER radiation therapy data for breast cancer and a self-reported patient survey to be 83% [35]. These studies suggest that our data may underestimate the receipt of radiation therapy following breast-conserving surgery, and thereby, receipt of optimal locoregional therapy.

Additionally, we did not have access to data on individual- or area-level socioeconomic status. Previous research has demonstrated that the effect of racial disparities in cancer care is reduced, but persists, when controlling for social and economic factors [36]. Our analysis did account for marital status which may be used as a marker of socioeconomic status and the data suggests that Black women were more often of single marital status which is linked to higher breast cancer mortality [2629]. Additionally, to preserve patient privacy, various identifiers were removed from SEER Incidence data such as geographic location and the type of hospital the patient received their care. This information would have allowed us to control for factors such as hospital teaching status, health system and local health insurance coverage, supply of radiation oncologists, and surgical volume, which have been shown to affect receipt of breast cancer surgery and radiation therapy [37]. Incorporation of patient-level and physician-level factors would have been useful in this analysis. It has been established that factors such as distance to hospital or treatment facilities, use of private vs. public transportation, and insurance status, can all impact receipt of optimal locoregional therapy in women with early stage breast tumors [36, 3840].

Due to lack of data availability, other racial groups beyond Black and White Americans were omitted from the analysis, including the exclusion of American Indian/Alaskan Native (AIAN) individuals who also experience breast cancer survival disparities. We also did not consider the differential effects of ethnicity by race on receipt of optimal treatment. The lack of data partially reflects the persistent, structural barriers that stymie representation in healthcare data.

Another group excluded from our analysis are women aged 65 and older. Several studies were published during the study period that supported the omission of radiation therapy following breast-conserving surgery for women over 65 years old [18, 41, 42]. The role of radiation therapy in older women with early-stage breast cancer remains a topic of discussion. By restricting our population to less than 65 years of age, we ensured a study population better suited to assess changes in receipt of optimal locoregional treatment for women with operable breast tumors. Furthermore, most women over 65 are insured by Medicare, and Medicare/Medicaid status has been shown to influence breast cancer surgery treatment decisions [4345]. We did not have access to Medicare data in the Research Plus dataset and could not fully explore how changes in insurance status might impact receipt of optimal locoregional treatment. For these reasons, we felt compelled to assess a study population less than 65 years of age.

Finally, we acknowledge that our study findings are not generalizable to the sub-populations of women with an advanced stage at diagnosis or a tumor subtype that would warrant systemic treatment of disease. Persistent disparities have been documented in the use of endocrine therapy and chemotherapy for treatment of early-stage as well as metastatic breast cancer [4649]. Efforts in making a more equitable treatment landscape for breast cancer should focus on locoregional treatment, and systemic treatment of the disease.

Our study assesses a broad contingent of women affected by breast cancer and is generalizable to Black and White women under the age of 65 with stage I or stage II disease that meet indications for operative therapy. Notably, there are important parts of the total breast cancer population who are not represented in this analysis.

Implications and conclusions

This study builds upon the research conducted by Yeboa et al. and Rothley and adds to the knowledge base by providing a broader view of the receipt of optimal locoregional therapy among Black and White women with early-stage breast tumors. The novel finding in this study is that there are similar rates of receipt of local optimal locoregional therapy between Black and White women following the year 2010, which appears to be driven by an increase in receipt of radiation therapy following breast-conserving surgery for Black women. Implementation of the Affordable Care Act occurred in 2010 and may have contributed to increased receipt of optimal locoregional treatment. Future studies with more granular-level information on insurance type and individual-level covariates will be better suited to assess how this important change in the healthcare landscape has influenced breast cancer treatment.

The reduced racial disparity in receipt of radiation therapy for breast cancer treatment is a welcome sign that disparities in cancer care may be reduced, but sustained effort will be required to maintain these findings [50]. Importantly, unadjusted rates show that Black women consistently received less breast-conserving surgery and radiation therapy than White women. Identifying the specific factors that drive receipt of radiation therapy following breast-conserving surgery across race may inform interventions that address racial disparities within the breast cancer treatment paradigm.

Supporting information

S1 Table. Univariate and multivariate logistic regression analyses with optimal locoregional therapy as outcome variable HR = Hormone Receptor; BCS = breast-conserving surgery; RT = radiation therapy; OLT = optimal locoregional therapy *Unknown HR or Her-2 status for tumors from 2010–2018.

https://doi.org/10.1371/journal.pone.0291025.s002

(DOCX)

Acknowledgments

Ajay Singh and Dr. Lena Law provided excellent research assistance.

References

  1. 1. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer Statistics, 2021. CA: A Cancer Journal for Clinicians. 2021;71(1):7–33.
  2. 2. SEER [Internet]. [cited 2022 Apr 2]. Cancer of the Breast (Female)—Cancer Stat Facts. Available from: https://seer.cancer.gov/statfacts/html/breast.html
  3. 3. Yedjou CG, Sims JN, Miele L, Noubissi F, Lowe L, Fonseca DD, et al. Health and Racial Disparity in Breast Cancer. Adv Exp Med Biol. 2019;1152:31–49. pmid:31456178
  4. 4. Smith CJ, Minas TZ, Ambs S. Analysis of Tumor Biology to Advance Cancer Health Disparity Research. The American Journal of Pathology. 2018 Feb 1;188(2):304–16. pmid:29137948
  5. 5. Boyle P. Triple-negative breast cancer: epidemiological considerations and recommendations. Annals of Oncology. 2012 Aug 1;23:vi7–12. pmid:23012306
  6. 6. McGee SA, Durham DD, Tse CK, Millikan RC. Determinants of Breast Cancer Treatment Delay Differ for African American and White Women. Cancer Epidemiology, Biomarkers & Prevention. 2013 Jul 2;22(7):1227–38. pmid:23825306
  7. 7. George P, Chandwani S, Gabel M, Ambrosone CB, Rhoads G, Bandera EV, et al. Diagnosis and Surgical Delays in African American and White Women with Early-Stage Breast Cancer. Journal of Women’s Health. 2015 Mar;24(3):209–17. pmid:25650628
  8. 8. Molina Y, Silva A, Rauscher GH. Racial/ethnic disparities in time to a breast cancer diagnosis: the mediating effects of healthcare facility factors. Med Care. 2015 Oct;53(10):872–8. pmid:26366519
  9. 9. Williams F, Thompson E. Disparities in Breast Cancer Stage at Diagnosis: Importance of Race, Poverty, and Age. J Health Dispar Res Pract. 2017;10(3):34–45. pmid:30637180
  10. 10. Jones CE, Maben J, Jack RH, Davies EA, Forbes LJ, Lucas G, et al. A systematic review of barriers to early presentation and diagnosis with breast cancer among black women. BMJ Open. 2014 Feb 1;4(2):e004076. pmid:24523424
  11. 11. Williams F, Thompson E. Disparity in Breast Cancer Late Stage at Diagnosis in Missouri: Does Rural Versus Urban Residence Matter? J Racial and Ethnic Health Disparities. 2016 Jun 1;3(2):233–9. pmid:27271063
  12. 12. O’Brien KM, Cole SR, Tse CK, Perou CM, Carey LA, Foulkes WD, et al. Intrinsic breast tumor subtypes, race, and long-term survival in the Carolina Breast Cancer Study. Clin Cancer Res. 2010 Dec 15;16(24):6100–10. pmid:21169259
  13. 13. Lund MJ, Brawley OP, Ward KC, Young JL, Gabram SSG, Eley JW. Parity and disparity in first course treatment of invasive breast cancer. Breast Cancer Res Treat. 2008 Jun;109(3):545–57. pmid:17659438
  14. 14. Dragun AE, Huang B, Tucker TC, Spanos WJ. Disparities in the application of adjuvant radiotherapy after breast-conserving surgery for early stage breast cancer. Cancer. 2011;117(12):2590–8.
  15. 15. Yeboa DN, Xu X, Jones BA, Soulos P, Gross C, Yu JB. Trend in Age and Racial Disparities in the Receipt of Postlumpectomy Radiation Therapy for Stage I Breast Cancer. American Journal of Clinical Oncology. 2016 Dec 1;39(6):568–74.
  16. 16. Rothley D. Disparities in the Use of Radiation Therapy for Postlumpectomy Breast Cancer [Internet] [D.P.H.]. [United States—Minnesota]: Walden University; 2021 [cited 2022 Apr 3]. Available from: https://www.proquest.com/docview/2563500441/abstract/74178663A17E454BPQ/1
  17. 17. Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database: Incidence—SEER Research Data, 8 Registries, Nov 2021 Sub (1975–2019)—Linked To County Attributes—Time Dependent (1990–2019) Income/Rurality, 1969–2020 Counties, National Cancer Institute, DCCPS, Surveillance Research Program, released April 2022, based on the November 2021 submission.
  18. 18. Kunkler IH, Williams LJ, Jack WJL, Cameron DA, Dixon JM. Breast-conserving surgery with or without irradiation in women aged 65 years or older with early breast cancer (PRIME II): a randomised controlled trial. The Lancet Oncology. 2015 Mar 1;16(3):266–73. pmid:25637340
  19. 19. NCCN [Internet]. [cited 2022 Apr 4]. NCCN Clinical Practice Guidelines Breast Cancer. Available from: https://www.nccn.org/guidelines/guidelines-detail
  20. 20. Kummerow KL, Du L, Penson DF, Shyr Y, Hooks MA. Nationwide Trends in Mastectomy for Early-Stage Breast Cancer. JAMA Surgery. 2015 Jan 1;150(1):9–16. pmid:25408966
  21. 21. Interpreting Race and Ethnicity in Cancer Data | U.S. Cancer Statistics Data Visualizations Tool Technical Notes | CDC [Internet]. 2023 [cited 2023 Jun 13]. Available from: https://www.cdc.gov/cancer/uscs/technical_notes/interpreting/race.htm
  22. 22. Atekruse SF, Cosgrove C, Cronin K, Yu M. Comparing Cancer Registry Abstracted and Self-Reported Data on Race and Ethnicity. J Registry Manag. 2017;44(1):30–3. pmid:29595942
  23. 23. SEER [Internet]. [cited 2022 Mar 31]. Documentation for SEER Data. Available from: https://seer.cancer.gov/data-software/documentation/index.html
  24. 24. Elledge RM, Clark GM, Chamness GC, Osborne CK. Tumor biologic factors and breast cancer prognosis among white, Hispanic, and black women in the United States. J Natl Cancer Inst. 1994 May 4;86(9):705–12. pmid:7908990
  25. 25. Miller-Kleinhenz JM, Collin LJ, Seidel R, Reddy A, Nash R, Switchenko JM, et al. Racial Disparities in Diagnostic Delay Among Women With Breast Cancer. Journal of the American College of Radiology. 2021 Oct 1;18(10):1384–93. pmid:34280379
  26. 26. Hinyard L, Wirth LS, Clancy JM, Schwartz T. The effect of marital status on breast cancer-related outcomes in women under 65: A SEER database analysis. The Breast. 2017 Apr 1;32:13–7. pmid:28012410
  27. 27. Neale AV, Tilley BC, Vernon SW. Marital status, delay in seeking treatment and survival from breast cancer. Social Science & Medicine. 1986 Jan 1;23(3):305–12. pmid:3764489
  28. 28. Martínez ME, Unkart JT, Tao L, Kroenke CH, Schwab R, Komenaka I, et al. Prognostic significance of marital status in breast cancer survival: A population-based study. PLOS ONE. 2017 May 5;12(5):e0175515. pmid:28475579
  29. 29. Parise C, Caggiano V. The influence of marital status and race/ethnicity on risk of mortality for triple negative breast cancer. PLOS ONE. 2018 Apr 26;13(4):e0196134. pmid:29698415
  30. 30. Recio-Saucedo A, Gerty S, Foster C, Eccles D, Cutress RI. Information requirements of young women with breast cancer treated with mastectomy or breast conserving surgery: A systematic review. The Breast. 2016 Feb 1;25:1–13. pmid:26801410
  31. 31. Oppong BA, Bhattacharyya O, Li Y, Obeng-Gyasi S, Sheppard VB. Receipt of breast conservation over mastectomy in Black women- does breast cancer subtype matter? Journal of the National Medical Association. 2022 Jun 1;114(3):298–307. pmid:35272849
  32. 32. Nguyen BC, Alawadi ZM, Roife D, Kao LS, Ko TC, Wray CJ. Do Socioeconomic Factors and Race Determine the Likelihood of Breast-Conserving Surgery? Clinical Breast Cancer. 2016 Aug 1;16(4):e93–7. pmid:27297238
  33. 33. Gumus M, Ustaalioglu BO, Garip M, Kiziltan E, Bilici A, Seker M, et al. Factors that Affect Patients’ Decision-Making about Mastectomy or Breast Conserving Surgery, and the Psychological Effect of this Choice on Breast Cancer Patients. Breast Care. 2010 May 27;5(3):164–8. pmid:21048831
  34. 34. Noone AM, Lund JL, Mariotto A, Cronin K, McNeel T, Deapen D, et al. Comparison of SEER Treatment Data With Medicare Claims. Medical Care. 2016 Sep;54(9):e55. pmid:24638121
  35. 35. Jagsi R, Abrahamse P, Hawley ST, Graff JJ, Hamilton AS, Katz SJ. Underascertainment of radiotherapy receipt in Surveillance, Epidemiology, and End Results registry data. Cancer. 2012 Jan 15;118(2):333–41. pmid:21717446
  36. 36. Akinyemiju T, Moore JX, Ojesina AI, Waterbor JW, Altekruse SF. Racial disparities in individual breast cancer outcomes by hormone-receptor subtype, area-level socio-economic status and healthcare resources. Breast Cancer Res Treat. 2016 Jun 1;157(3):575–86. pmid:27255533
  37. 37. Jerome-D’Emilia B, Begun JW. Diffusion of breast conserving surgery in medical communities. Soc Sci Med. 2005 Jan;60(1):143–51. pmid:15482874
  38. 38. Peipins LA, Graham S, Young R, Lewis B, Flanagan B. Racial disparities in travel time to radiotherapy facilities in the Atlanta metropolitan area. Soc Sci Med. 2013 Jul;89:32–8. pmid:23726213
  39. 39. Ambroggi M, Biasini C, Del Giovane C, Fornari F, Cavanna L. Distance as a Barrier to Cancer Diagnosis and Treatment: Review of the Literature. Oncologist. 2015 Dec;20(12):1378–85. pmid:26512045
  40. 40. Racial and Ethnic Disparities in Patient-Provider Communication With Breast Cancer Patients: Evidence From 2011 MEPS and Experiences With Cancer Supplement—Shelley I. White-Means, Ahmad Reshad Osmani, 2017 [Internet]. [cited 2022 Apr 4]. Available from: https://journals.sagepub.com/doi/full/10.1177/0046958017727104
  41. 41. Wickberg Å, Liljegren G, Killander F, Lindman H, Bjöhle J, Carlberg M, et al. Omitting radiotherapy in women ≥ 65 years with low-risk early breast cancer after breast-conserving surgery and adjuvant endocrine therapy is safe. European Journal of Surgical Oncology. 2018 Jul 1;44(7):951–6.
  42. 42. Punglia RS, Saito AM, Neville BA, Earle CC, Weeks JC. Impact of interval from breast conserving surgery to radiotherapy on local recurrence in older women with breast cancer: retrospective cohort analysis. BMJ. 2010 Mar 3;340:c845. pmid:20197326
  43. 43. Obeng-Gyasi S, Timsina L, Miller KD, Ludwig KK, Fisher CS, Haggstrom DA. The implications of insurance status on presentation, surgical management, and mortality among nonmetastatic breast cancer patients in Indiana. Surgery. 2018 Dec 1;164(6):1366–71. pmid:30170816
  44. 44. Coburn N, Fulton J, Pearlman DN, Law C, DiPaolo B, Cady B. Treatment Variation by Insurance Status for Breast Cancer Patients. The Breast Journal. 2008;14(2):128–34. pmid:18315690
  45. 45. Adepoju L, Wanjiku S, Brown M, Qu W, Williams M, Redfern RE, et al. Effect of Insurance Payer Status on the Surgical Treatment of Early Stage Breast Cancer: Data Analysis From a Single Health System. JAMA Surgery. 2013 Jun 1;148(6):570–2. pmid:23615754
  46. 46. Reeder-Hayes KE, Troester MA, Wheeler SB. Adherence to Endocrine Therapy and Racial Outcome Disparities in Breast Cancer. The Oncologist. 2021 Nov 1;26(11):910–5. pmid:34582070
  47. 47. Green AK, Aviki EM, Matsoukas K, Patil S, Korenstein D, Blinder V. Racial disparities in chemotherapy administration for early-stage breast cancer: a systematic review and meta-analysis. Breast Cancer Res Treat. 2018 Nov 1;172(2):247–63. pmid:30094552
  48. 48. Oppong BA, Rolle AA, Ndumele A, Li Y, Fisher JL, Bhattacharyya O, et al. Are there differences in outcomes by race among women with metastatic triple-negative breast cancer? Breast Cancer Res Treat. 2022 Nov;196(2):399–408. pmid:36152139
  49. 49. Reeder-Hayes KE, Meyer AM, B. Dusetzina S, Liu H, Wheeler SB. Racial disparities in initiation of adjuvant endocrine therapy of early breast cancer. Breast Cancer Res Treat. 2014 Jun 1;145(3):743–51.
  50. 50. Updated Guidance on the Reporting of Race and Ethnicity in Medical and Science Journals | Medical Journals and Publishing | JAMA | JAMA Network [Internet]. [cited 2022 Aug 23]. Available from: https://jamanetwork.com/journals/jama/fullarticle/2783090%C2%A0