Immunogenicity of SARS-CoV-2 vaccines in patients with breast cancer.

Purpose: To explore the immunogenicity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines in patients with breast cancer based on type of anticancer treatment. Methods: Patients with breast cancer had anti-spike antibody concentrations measured ⩾14 days after receiving a full SARS-CoV-2 vaccination series. The primary endpoint was IgA/G/M anti-spike antibody concentration. Multiple regression analysis was used to analyze log10-transformed antibody titer concentrations. Results: Between 29 April and 20 July 2021, 233 patients with breast cancer were enrolled, of whom 212 were eligible for the current analysis. Patients who received mRNA-1273 (Moderna) had the highest antibody concentrations [geometric mean concentration (GMC) in log10: 3.0 U/mL], compared to patients who received BNT162b2 (Pfizer) (GMC: 2.6 U/mL) (multiple regression adjusted p = 0.013) and Ad26.COV2.S (Johnson & Johnson/Janssen) (GMC: 2.6 U/mL) (p = 0.071). Patients receiving cytotoxic therapy had a significantly lower antibody titer GMC (2.5 U/mL) compared to patients on no therapy or endocrine therapy alone (3.0 U/mL) (p = 0.005). Patients on targeted therapies (GMC: 2.7 U/mL) also had a numerically lower GMC compared to patients not receiving therapy/on endocrine therapy alone, although this result was not significant (p = 0.364). Among patients who received an additional dose of vaccine (n = 31), 28 demonstrated an increased antibody response that ranged from 0.2 to >4.4 U/ mL. Conclusion: Most patients with breast cancer generate detectable anti-spike antibodies following SARS-CoV-2 vaccination, though systemic treatments and vaccine type impact level of response. Further studies are needed to better understand the clinical implications of different antibody levels, the effectiveness of additional SARS-CoV-2 vaccine doses, and the risk of breakthrough infections among patients with breast cancer.

Acute myeloid leukemia and myelodysplastic syndrome after adjuvant chemotherapy: A population-based study among older breast cancer patients.

BACKGROUND: Chemotherapy for early breast cancer is associated with a small risk of developing myelodysplastic syndrome (MDS) and/or acute myeloid leukemia (AML). The aim of this study was to determine the risk of developing AML or MDS after modern adjuvant chemotherapy in older breast cancer patients and to further define the risk of individual chemotherapy regimens. METHODS: Patients diagnosed with stage I to III breast cancer from 2003 to 2009 were identified in the Surveillance, Epidemiology, and End Results-Medicare and Texas Cancer Registry-Medicare linked databases. The development of AML/MDS, chemotherapy use, and comorbidities were identified with International Classification of Diseases, Ninth Revision and Healthcare Common Procedure Coding System codes. Analyses included descriptive statistics, cumulative incidences, and Cox proportional hazards models to estimate the hazard of AML/MDS after adjustments for clinically relevant covariates. RESULTS: In all, 92,110 patients were included; after a median follow-up of 85 months, the overall rates per 1000 person-years were 0.65 for AML and 1.56 for MDS. Patients who received an anthracycline (A) or anthracycline and taxane (A+T) regimen were more likely to develop AML (hazard ratio [HR] for A, 1.70; 95% confidence interval [CI], 1.16-2.50; HR for A+T, 1.68; 95% CI, 1.22-2.30) or MDS (HR for A, 2.18; 95% CI, 1.70-2.80; HR for A+T, 1.62; 95% CI, 1.29-2.03) than patients who did not receive chemotherapy. Patients using docetaxel and cyclophosphamide (TC) were not at increased risk for AML or MDS. CONCLUSIONS: Adjuvant chemotherapy is associated with a small but significant increase in the risk of AML and MDS, especially with regimens that include A. Longer follow-up is needed to confirm that risk is not increased with the recently adopted TC regimen. Cancer 2018;124:899-906. © 2017 American Cancer Society.

Short-term mortality in older patients treated with adjuvant chemotherapy for early-stage breast cancer.

Chemotherapy for early-stage breast cancer has lowered cancer recurrence and deaths. However, short-term mortality rates due to cancer or treatment in the general population remain largely unknown. In this study, we evaluate the short-term mortality rate and the determinants of such outcome among a cohort of older breast cancer patients treated with adjuvant chemotherapy. This is a population-based study based on the Surveillance, Epidemiology, and End Results Program (SEER)-Medicare and the Texas Cancer Registry (TCR)-Medicare databases. Patients diagnosed with early-stage breast cancer between 2003 and 2011 who were 66 years or older and were treated with adjuvant chemotherapy within 6 months of diagnosis were included. Short-term mortality was defined as death from any cause within one year of breast cancer diagnosis. Descriptive statistics and multivariable logistic regression modeling were used for the analysis. Of the 21,536 patients included, a total of 625 (2.9 %) died within one year of breast cancer diagnosis. In multivariate analysis, older age (using 66-70 as reference category; 71-75 years OR 1.31, 95 % CI 1.05-1.62; 76-80 years OR 1.73, 95 % CI 1.36-2.19; >80 years OR 3.48, 95 % CI 2.7-4.48) and higher comorbidity index (using Charlson score of 0 as a reference, those with score of 1 or >2 had higher risk OR 1.46, 95 % CI 1.19-1.8 and OR 2.98, 95 % CI 2.42-3.67, respectively) were associated with the increased risk of short-term mortality. Other factors significantly associated with the outcome were higher grade and stage, ER-negative status, poor census tract area, and mastectomy. The findings of this study revealed that, in this large cohort of older breast cancer patients treated with adjuvant chemotherapy, 2.9 % of the population died within one year of breast cancer diagnosis. Finally, it was concluded that tumor- and patient-related characteristics were associated with short-term death. Our findings add relevant information that can be used by clinicians when balancing the risk.