National trends in neoadjuvant chemotherapy utilization for cT1-2 N0 triple negative breast cancer: Did the CREATE-X trial impact treatment patterns?

Authors

null

Christine Rogers

Division of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI

Christine Rogers , Jan Irene Lloren , Morgan K. Johnson , Adrienne Cobb , Lubna Naaz Chaudhary , Chiang-Ching Huang , Mediget Teshome , Puneet Singh , Amanda L. Kong , Chandler Scott Cortina

Organizations

Division of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, Division of Biostatistics, Joseph J Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, Division of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, Department of Breast Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX

Research Funding

Institutional Funding
Medical College of Wisconsin

Background: Neoadjuvant chemotherapy (NAC) for operable breast cancer allows for in-vivo assessment of chemotherapy response with survival and therapeutic implications. In 2017, the Capecitabine for Residual Cancer as Adjuvant Therapy (CREATE-X) trial demonstrated significant improvement in survival with the addition of adjuvant capecitabine in patients with triple negative breast cancer (TNBC) and residual disease after NAC. These results provided the rationale for NAC even in early stage TNBC. The aim of this study was to assess U.S. national rates of NAC utilization in early-stage node-negative TNBC patients before and after the release of CREATE-X and to assess factors associated with receiving NAC vs adjuvant chemotherapy (AC). Methods: The National Cancer Database was queried for women with cT1-2N0M0 TNBC from 2014–19. NAC utilization was collected and categorized as 2014-15 (pre-CREATE-X), 2016-17 (transition yrs), and 2018-19 (post-CREATE-X). Those who did not receive chemotherapy were excluded. NAC use over time was analyzed via multivariable logistic regression (MLR). Clinical and demographic factors associated with NAC vs AC utilization were assessed using ANOVA, Chi-squared, and Fisher Exact tests. A MLR model was used to determine predictors of receipt of NAC vs AC. Results: 55,633 women were treated from 2014-19: 26.9% with NAC, 52.4% with AC, and 20.7% received no chemotherapy (median ages 53, 59, and 71yrs, respectively, p < 0.01). Most had cT1c (32.7%, n = 18,190) or cT2 (41.95%, n = 23,331) tumors and 99% had invasive ductal pathology. NAC utilization significantly increased over time, 19.5% (n = 3,465 of 17,777) in 2014-15, 27.1% (n = 5,140 of 18,985) in 2016-17, and 33.6% (n = 6,337 of 18,871) in 2018-19 (p < 0.01). On MLR analysis, increased use of NAC was associated with younger age ( < 50yrs), non-Hispanic white patients, having no comorbidities, having a cT2 tumor, grade 2 disease, and care at an academic or integrated network cancer program (p < 0.05 for all). Patients with Medicare and Medicaid insurance were less likely to receive NAC (p < 0.01). Patients who traveled > 60 miles to their treating facility were more likely to receive NAC (p < 0.01). Conclusions: From 2014–19, NAC utilization increased for patients with cT1-2N0M0 TNBC coinciding with the release of the CREATE-X results. Findings demonstrate the significance of the multidisciplinary oncology team in developing individualized treatment plans based on emerging clinical trial evidence. Racial, socioeconomic, and access disparities were observed in NAC utilization and warrants further investigation and interventions to ensure equitable care.

VariableOR95%CIp-value
Age< 501.41.3-1.5< 0.01
50-69ref
> 690.70.6-0.7< 0.01
Race/EthnicityNH Black0.80.8-0.9< 0.01
Hispanic1.00.9-1.10.6
NH Whiteref
Diagnosis Yr2014-150.50.4-0.6< 0.01
2016-17ref
2018-190.90.7-1.10.3

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Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Publication Only: Breast Cancer—Local/Regional/Adjuvant

Track

Breast Cancer

Sub Track

Neoadjuvant Therapy

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr e12599)

DOI

10.1200/JCO.2023.41.16_suppl.e12599

Abstract #

e12599

Abstract Disclosures