Weight gain in hormone receptor-positive (HR+) early-stage breast cancer: is it menopausal status or something else?

Purpose: This study investigates weight trajectories in pre- versus postmenopausal breast cancer (BC) survivors diagnosed with hormone receptor-positive tumors, with a specific focus on discerning menopausal status and type of endocrine treatment (ET) as risk factors for weight gain during ET. Methods: We conducted a retrospective review of electronic medical records. Descriptive statistics and Chi-squared and t tests were used to compare pre- and postmenopausal women. Chi-squared tests and ANOVA were used for within-group associations between patient characteristics and weight trajectories. Log-binomial regression models were used to estimate relative risk for weight gain. Results: The final sample was 32% premenopausal (n = 140) and 68% postmenopausal (n = 298). Relative risk (RR) for weight gain during ET was highest in women who were premenopausal (RR = 1.29, 1.03–1.52) and had Stage 3 BC (RR = 2.12, 1.59–2.82), mastectomy (RR = 1.49, 1.19–1.88), axillary node dissection (RR = 1.39, 1.11–1.73), and chemotherapy (RR = 1.80, 1.37–2.36). For each kg of weight gained between BC diagnosis and start of ET, and for each additional year of age, RR of gaining weight during ET decreased (RR = 0.98, 0.97–0.99, and RR = 0.99, 0.98–0.99, respectively). Menopausal status and type of ET were not significant predictors of weight gain. In multivariable analysis, only weight loss between BC diagnosis and start of ET was significant. Conclusion: The association of weight loss prior to ET and subsequent substantial weight gain during ET warrants further investigation

Weight changes in postmenopausal breast cancer survivors over 2 years of endocrine therapy: a retrospective chart review

Purpose: Obesity and weight gain after breast cancer (BC) diagnosis can affect cancer outcomes. This study explores the question of weight change during the first 2 years of endocrine treatment (ET) to identify the independent effects of BC diagnosis and treatment on post-diagnosis weight trajectories in early-stage postmenopausal BC survivors. Methods: The study design is a retrospective chart review. Chi square tests and ANOVA were used to compare patients who gained >2 kg, lost >2 kg, or had stable weight. Log-binomial regression models were used to evaluate associations between patient characteristics and weight trajectories. Results: The final sample is N = 300, with mean age at BC diagnosis of 65 years and 76% white. After 2 years of ET, 39% of study participants had gained >2 kg, 27% had lost >2 kg, and 34% had stable weight. Relative risks (RR) for weight gain were as follows: age at diagnosis = 0.98 (0.96, 0.99), being married = 1.48 (1.04, 2.12), weight change between BC diagnosis and start of ET = 0.98 (0.97, 0.99), Stage II = 1.42 (1.01, 2.01) or Stage III = 1.99 (1.41, 2.82), PR negative = 0.70 (0.51, 0.96), HER2 positive = 1.51 (1.07, 2.13), mastectomy = 1.49 (1.12, 1.98), axillary node dissection = 1.67 (1.27, 2.20), adjuvant chemotherapy = 1.49 (1.02, 2.19), and neoadjuvant chemotherapy = 2.29 (1.67, 3.14). Type of ET (tamoxifen or aromatase inhibitor) was not significant. Conclusions: In our sample of postmenopausal early-stage BC survivors, a majority had stable or lost weight during the first 2 years of ET. Higher disease complexity and associated treatment posed higher RR for weight gain

Obesity, comorbidities, and treatment selection in Black and White women with early breast cancer

Background: This study investigates obesity and comorbidity in Black and White women with early breast cancer (stages I-III) and their potential impact on treatment decisions for patients with hormone receptor–positive (HR+)/human epidermal growth factor receptor 2–negative (HER2–) tumors. Methods: In this retrospective chart review, comparisons of frequencies for Black and White patients were calculated with the Fisher exact test. Log binomial regression was used to estimate prevalence ratios (PRs) with 95% confidence intervals for total and individual comorbidities, and multivariable modeling was used to estimate PRs adjusted for age and body mass index (BMI). Results: In a sample of 548 patients, 26% were Black, and 74% were White. Sixty-two percent of Black patients and 32% of White patients were obese (BMI ≥ 30 kg/m2; P <.0001). Seventy-five percent of Black patients and 87% of White patients had HR+ tumors (P =.001). Significant intergroup differences were seen for 2 or more total comorbidities (62% of Blacks vs 47% of Whites; P =.001), 2 or more obesity-related comorbidities (33% vs 10%; P <.0001), hypertension (60% vs 32%; P <.0001), diabetes mellitus (23% vs 6%; P <;.0001), hypercholesterolemia or hyperlipidemia (28% vs 18%; P =.02), and hypothyroidism (4% vs 11%; P =.012). In women with HR+/HER2– tumors, there were no intergroup differences in treatment decisions regarding the type of surgery, chemotherapy regimen, radiation, or endocrine treatment despite significant differences in the prevalence of obesity and comorbidities. Conclusions: This study documents significant disparities between Black and White women with early breast cancer with regard to high rates of obesity, overall comorbidities, and obesity-related comorbidities, and it highlights the prevalence of competing risks that may complicate outcomes in breast cancer

Weight trajectories in women receiving systemic adjuvant therapy for breast cancer

Background: Weight gain after breast cancer (BC) diagnosis is a well-known phenomenon; however, it is not a universal phenomenon and identification of patients at highest risk for weight gain is needed. This study investigates weight trajectories in early BC patients at 2 years post-primary treatment, examining potential contributing factors such as age, race, and receipt of chemotherapy, anti-HER-2 therapy, and endocrine treatment (ET). Methods: A single institution cohort of newly diagnosed women age 21 and older with early breast cancer patients (Stage 0–3) were identified by retrospective chart review (diagnosis year 1995 to 2016). Log-binomial regression models for net weight changes at 2 years post-primary treatment including patient demographic, clinical, and treatment characteristics. Results: The final sample of 625 patients included 29% who were non-White and 37% who were pre-menopausal at diagnosis. Body mass index (BMI) at diagnosis was calculated and found to be normal in 33% (BMI 18 to 2 kg, 34% had stable weight ± 2 kg, and 35% had gained > 2 kg. Factors associated with > 2 kg weight gain were menopausal status (pre-menopausal HR 1.65, 95% CI 1.34–2.04, p <.0001), receiving any chemotherapy (HR 1.36, 95% CI 1.04–1.77), and anthracycline-based chemotherapy followed by ET (HR 1.60, CI 1.01–2.45). Anti-HER-2 therapy and transition from pre- to post-menopausal during the 2-year study period were not significant factors in weight gain. In multivariate analysis, menopausal status remained the only significant variable related to weight gain when adjusted for treatment. For all treatment combinations, pre-menopausal women had significantly more weight gain. Conclusions and relevance: Weight gain, weight loss, and stable weight in women with early breast cancer vary greatly by treatment plan. However, pre-menopausal patients have the highest risk for weight gain

Changing Natural History of HER2–Positive Breast Cancer Metastatic to the Brain in the Era of New Targeted Therapies

Patients with breast cancer brain metastases historically have a poor prognosis. In this single-institution cohort study of patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer brain metastases, we found no improvement in survival after brain recurrence over time despite wide adoption of HER2–targeted therapies. This highlights the importance of continued development of novel brain penetrant therapies for patients with HER2–positive metastatic disease to extend survival and improve quality of life. Background: Given the wide adoption of human epidermal growth factor receptor 2 (HER2)-targeted therapies for advanced HER2–positive breast cancer, we studied the natural history of patients with HER2–positive breast cancer brain metastases (BCBM) over time. Patients and Methods: Patients with HER2–positive BCBM identified from a prospectively maintained database at the University of North Carolina were divided into 3 cohorts by year of BCBM diagnosis. Cohorts were selected by year of HER2–targeted therapy US Food and Drug Administration approval. Overall survival (OS), time to first metastasis, time to BCBM, and BCBM survival were estimated by the Kaplan-Meier method. Associations between OS after BCBM and clinical variables were assessed by Cox proportional hazards regression models. Results: One hundred twenty-three patients were identified. Median age was 51 years, and 58% were white and 31% African American. OS from initial breast cancer diagnosis improved over time: 3.6 years (95% confidence interval [CI], 2.8-6.1) in the 1998-2007 cohort, 6.6 years (95% CI, 4.5-8.6) in the 2008-2012 cohort, and 7.6 years (95% CI, 4.4-9.6) in the 2013-2015 cohort (P =.05). While time from initial diagnosis to first metastasis did not differ (P =.12), time to BCBM increased over time (2.6 years [95% CI, 1.3-3.5] for 1998-2007; 2.6 years [95% CI, 2.1-4.3] for 2008-2012, and 3.3 years [95% CI, 2.2-6] for 2013-2015; P =.05). Although OS from BCBM did not significantly differ by cohort, patients who received HER2–targeted therapy after BCBM had a prolonged OS (2.1 years [95% CI, 1.6-2.6] vs. 0.65 years [95% CI, 0.4-1.3]; P =.001). Conclusion: OS from initial breast cancer diagnosis significantly improved over time for patients with HER2–positive breast cancer who develop BCBM, now exceeding 7 years; survival from BCBM diagnosis may now exceed 2 years

Patient-Reported Comorbidity and Survival in Older Adults with Cancer

Background: Our ability to optimize the care of older adults with cancer and comorbid illnesses is insufficient because most clinical trials lack systematic measurement. The primary purpose of this study was to evaluate the association between patient-reported comorbidity and all-cause mortality using various comorbidity scoring algorithms. Materials and Methods: The Carolina Senior Registry was linked with the North Carolina Central Cancer Registry to obtain mortality data. Comorbidity was assessed using the patient-reported Older Americans Resources and Services Questionnaire subscale that assesses 13 specific conditions and the degree to which each impairs activities. Multivariable Cox proportional hazard regression models were used to evaluate the association between comorbidities and all-cause mortality. Results: The study sample included 539 patients; the median age was 72 years, 72% were female, and 47% had breast cancer. Overall, 92% reported ≥1 comorbid condition, with a mean of 2.7 conditions (range 0–10), with arthritis and hypertension the most common (52% and 50%, respectively). Approximately 60% reported a functional limitation related to comorbidity. After adjusting for time from diagnosis to geriatric assessment, age, cancer type, and stage, the risk of death increased by 5% for each unit increase in comorbidity burden score (adjusted hazard ratio [HR] = 1.05, 95% confidence interval [CI]: 1.01–1.10) and 12% for each comorbid condition impacting function (HR = 1.12, 95% CI: 1.02–1.23). Conclusion: Comorbid conditions in older adults with cancer are highly prevalent and associated with all-cause mortality, particularly those conditions that impair function. Routine comorbidity assessment should be included in clinical trials and can be measured via a simple one-page patient-reported questionnaire. Implications for Practice: In order to optimize and personalize the care of older adults with cancer, systematic measurement of comorbidities is necessary in both clinical trials and routine practice. Patient-reported comorbid conditions in older adults with cancer are highly prevalent and are associated with increased risk of all-cause mortality, particularly for those conditions that impair function. Comorbidity can be systematically measured via a one-page patient-reported questionnaire and should be incorporated into future clinical trials and considered for use in oncology clinics to aid in assessing older adults with cancer

Frailty and health-related quality of life in older women with breast cancer

Purpose: In older women, breast cancer and its treatment can have profound impact on their physical, mental, and social health, especially in frail patients. This study evaluated the association between frailty and long-term health-related quality of life (HRQOL) in older women undergoing breast cancer treatment. Methods: Using the Carolina Senior Registry (CSR), participants with breast cancer were contacted to complete a follow-up HRQOL questionnaire (median 4 years). Baseline Geriatric Assessment (GA) variables were used to calculate the Carolina Frailty Index (CFI) and categorize participants as robust, pre-frail, or frail. Outcomes included HRQOL domains of physical function, social roles, fatigue, depression, anxiety, pain, and sleep disturbance assessed using PROMIS® instruments. Regression modeling compared outcomes between frailty groups using adjusted mean differences (AMD). Results: Of 190 eligible patients, 63 completed follow-up HRQOL survey. Mean age was 70 years (range 65–86) and 91% were white. Based on the CFI, 49 (78%) patients were robust, 11 (18%) pre-frail, and 3 (5%) frail. After controlling for age and cancer stage, patients identified as pre-frail/frail reported worse physical function (AMD − 9.2, p < 0.001) and social roles (AMD − 7.2, p = 0.002) and more fatigue (AMD 7.6, p = 0.008), depression (AMD 5.6, p = 0.004), and sleep disturbance (AMD 6.9, p = 0.008) compared to robust patients at follow-up. Conclusions: Frailty in older women with breast cancer was associated with worse long-term HRQOL outcomes. Further research is needed to develop interventions for frail patients at-risk for reduced HRQOL

Effects of breast cancer adjuvant chemotherapy regimens on expression of the aging biomarker, p16ink4a

Background: Although chemotherapy saves lives, increasing evidence shows that chemotherapy accelerates aging. We previously demonstrated that mRNA expression of p16INK4a, a biomarker of senescence and molecular aging, increased early and dramatically after beginning adjuvant anthracycline-based regimens in early stage breast cancer patients. Here, we determined if changes in p16INK4a expression vary by chemotherapy regimen among early stage breast cancer patients. Methods: We conducted a study of stage I-III breast cancer patients receiving adjuvant or neoadjuvant chemotherapy. p16INK4a expression was analyzed prechemotherapy and postchemotherapy (median 6.2 months after the last chemotherapy) in peripheral blood T lymphocytes. Chemotherapy-induced change in p16INK4a expression was compared among regimens. All statistical tests were 2-sided. Results: In 146 women, chemotherapy was associated with a statistically significant increase in p16INK4a expression (accelerated aging of 17 years; P < .001). Anthracycline-based regimens were associated with the largest increases (accelerated aging of 23 to 26 years; P ≤ .008). Nonanthracycline-based regimens demonstrated a much smaller increase (accelerated aging of 9 to 11 years; P ≤ .15). In addition to the type of chemotherapy regimen, baseline p16INK4a levels, but not chronologic age or race, were also associated with the magnitude of increases in p16INK4a. Patients with lower p16INK4a levels at baseline were more likely to experience larger increases. Conclusions: Our findings suggest that the aging effects of chemotherapy may be influenced by both chemotherapy type and the patient's baseline p16INK4a level. Measurement of p16INK4a expression is not currently available in the clinic, but nonanthracycline regimens offering similar efficacy as anthracycline regimens might be favored

Congruence of patient- and clinician-reported toxicity in women receiving chemotherapy for early breast cancer

Background: The National Cancer Institute's Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events, collected alongside the clinician-reported Common Terminology Criteria for Adverse Events, enables comparisons of patient and clinician reports on treatment toxicity. Methods: In a multisite study of women receiving chemotherapy for early-stage breast cancer, symptom reports were collected on the same day from patients and their clinicians for 17 symptoms; their data were not shared with each other. The proportions of moderate, severe, or very severe patient-reported symptom severity were compared with the proportions of clinician-rated grade 2, 3, or 4 toxicity. Patient-clinician agreement was assessed via κ statistics. Chi-square tests investigated whether patient characteristics were associated with patient-clinician agreement. Results: Among 267 women, the median age was 58 years (range, 24-83 years), and 26% were nonwhite. There was moderate scoring agreement (κ = 0.413-0.570) for 53% of symptoms, fair agreement for 41% (κ = 0.220-0.378), and slight agreement for 6% (κ = 0.188). For example, patient-reported and clinician-rated percentages were 22% and 8% for severe or very severe fatigue, 41% and 46% for moderate fatigue, 32% and 39% for mild fatigue, and 6% and 7% for none. Clinician severity scores were lower for nonwhite patients in comparison with white patients for peripheral neuropathy, nausea, arthralgia, and dyspnea. Conclusions: Although clinician reporting of symptoms is common practice in oncology, there is suboptimal agreement with the gold standard of patient self-reporting. These data provide further evidence supporting the integration of patient-reported outcomes into oncological clinical research and clinical practice to improve monitoring of symptoms as well as timely interventions for symptoms

Patient-reported treatment toxicity and adverse events in Black and White women receiving chemotherapy for early breast cancer

Purpose: It is not known whether chemotherapy-related symptom experiences differ between Black and White women with early breast cancer (Stage I–III) receiving current chemotherapy regimens and, in turn, influences dose delay, dose reduction, early treatment discontinuation, or hospitalization. Methods: Patients self-reported their race and provided symptom reports for 17 major side effects throughout chemotherapy. Toxicity and adverse events were analyzed separately for anthracycline and non-anthracycline regimens. Fisher’s exact tests and two-sample t-tests compared baseline patient characteristics. Modified Poisson regression estimated relative risks of moderate, severe, or very severe (MSVS) symptom severity, and chemotherapy-related adverse events.Please check and confirm that the authors and their respective affiliations have been correctly identified and amend if necessary.no changes Results: In 294 patients accrued between 2014 and 2020, mean age was 58 (SD13) and 23% were Black. For anthracycline-based regimens, the only significant difference in MSVS symptoms was in lymphedema (41% Black vs 20% White, p =.04) after controlling for axillary surgery. For non-anthracycline regimens, the only significant difference was MSVS peripheral neuropathy (41% Blacks vs. 23% White) after controlling for taxane type (p =.05) and diabetes (p =.05). For all other symptoms, severity scores were similar. Dose reduction differed significantly for non-anthracycline regimens (49% Black vs. 25% White, p =.01), but not for anthracycline regimens or in dose delay, early treatment discontinuation, or hospitalization for either regimen. Conclusion: Except for lymphedema and peripheral neuropathy, Black and White patients reported similar symptom severity during adjuvant chemotherapy. Dose reductions in Black patients were more common for non-anthracycline regimens. In this sample, there were minimal differences in patient-reported symptoms and other adverse outcomes in Black versus White patients