Barry, William T.

AbstractBackgroundObesity and inactivity are poor prognostic factors in breast cancer, but less is known regarding physical activity (PA) and weight patterns in young breast cancer survivors.MethodsThe Young and Strong Study was a cluster‐randomized trial evaluating education and support interventions for young women (age <45 years) with newly diagnosed breast cancer. Sites were randomized 1:1 to a Young Women's Intervention (YWI) or a contact‐time control physical activity intervention (PAI). Changes in PA and weight were compared between groups using general estimating equations to evaluate clustered binary and Gaussian data.ResultsA total of 467 patients enrolled between July 2012 and December 2013 across 54 sites. Median age at diagnosis was 40 years (range, 22–45). At baseline, median body mass index (BMI) was 25.4 kg/m2 (range, 16.1–61.1), and participants reported a median of 0 minutes (range, 0–2190) of moderate/vigorous PA/week. PA increased significantly over time in both groups (p < .001), with no difference between groups at any time point. BMI increased modestly but significantly (p < .001) over time in both groups. Provider attention to PA was observed in 74% of participants on PAI and 61% on YWI (p = .145) and correlated with PA at 12 months (median 100 min/week of PA in participants with provider attention to PA vs. 60 min/week in those without, p = .016).ConclusionsIn a cohort of young women with breast cancer, rates of obesity and inactivity were high. PA and BMI increased over time and were not impacted by an educational PA intervention. Findings provide important information for developing lifestyle interventions for young breast cancer survivors.

PURPOSE The ATEMPT trial was designed to determine if treatment with trastuzumab emtansine (T-DM1) caused less toxicity than paclitaxel plus trastuzumab (TH) and yielded clinically acceptable invasive disease-free survival (iDFS) among patients with stage I human epidermal growth factor receptor 2–positive (HER2+) breast cancer (BC). METHODS Patients with stage I centrally confirmed HER2+ BC were randomly assigned 3:1 to T-DM1 or TH and received T-DM1 3.6 mg/kg IV every 3 weeks for 17 cycles or T 80 mg/m 2 IV with H once every week × 12 weeks (4 mg/kg load →2 mg/kg), followed by H × 39 weeks (6 mg/kg once every 3 weeks). The co-primary objectives were to compare the incidence of clinically relevant toxicities (CRTs) in patients treated with T-DM1 versus TH and to evaluate iDFS in patients receiving T-DM1. RESULTS The analysis population includes all 497 patients who initiated protocol therapy (383 T-DM1 and 114 TH). CRTs were experienced by 46% of patients on T-DM1 and 47% of patients on TH ( P = .83). The 3-year iDFS for T-DM1 was 97.8% (95% CI, 96.3 to 99.3), which rejected the null hypothesis ( P < .0001). Serially collected patient-reported outcomes indicated that patients treated with T-DM1 had less neuropathy and alopecia and better work productivity compared with patients on TH. CONCLUSION Among patients with stage I HER2+ BC, one year of adjuvant T-DM1 was associated with excellent 3-year iDFS, but was not associated with fewer CRT compared with TH.

8521 Background: Several clinical and molecular prognostic factors (e.g, International Staging System [ISS] stage, plasma cell labeling index, genomic models) exist for multiple myeloma (MM). We hypothesized that exploiting gene signatures representative of oncogenic pathway deregulation (i.e., Ras, Myc, etc.), would improve MM prognostication and also aid with the identification of novel therapeutic targets. Methods: Using a discovery cohort (n=47) of patients with MM and corresponding gene expression data, we built upon current molecular risk-stratification and devised a Bayesian genomic (“metagene”) model for prognosis. We validated that model in an independent patient cohort (n=207). Finally, we incorporated ISS staging and clinical variables to construct a combined Clinico-Genomic Risk Stratification System. We further validated the combined model in a separate cohort (n=72), in a blinded manner. Results: Using gene signatures predictive of oncogenic pathway activation in the discovery cohort, we identified specific patterns (metagenes) of signaling pathway activation with prognostic relevance. In an independent validation cohort, this metagene-based model accurately predicted event free survival (EFS) independently of ISS (multivariate hazard ratio [HR] 3.4 for ISS stage, and 5.4 for the metagene model, p=0.002). Using multivariate risk modeling, we incorporated ISS staging and the metagene model into a Clinico-Genomic System and successfully stratified the validation cohort into three groups (low, intermediate, and high risk) with markedly different EFS (HR 4.2 for intermediate risk and 14.0 for high risk vs. the low risk cohort, p<0.0001). In an additional blinded validation, the Clinico-Genomic System again accurately predicted median overall survival (68.7 [low risk] vs 24.7 [intermediate risk] vs 18.7 months [high risk], p<0.0001); more accurately than either ISS or other reported genomic models. Conclusions: A combined Clinico-Genomic Risk Stratification System, building on patterns of oncogenic pathway activation and ISS staging system, improves upon current prognostic models in MM and identifies novel pathway targets for future therapeutic consideration. No significant financial relationships to disclose.

Abstract Background: CRA is a surrogate for ovarian toxicity and associated risk of infertility and long-term menopausal symptoms. Therefore, it is important to assess and report the rate of CRA when we study a new neoadjuvant treatment regimen. In the Adjuvant Paclitaxel and Tratuzumab (APT) trial, we found that CRA rate associated with adjuvant TH (12 weeks of paclitaxel and a year of trastuzumab) for human epidermal growth factor receptor-2 (HER2)-positive breast cancer was lower than historically seen with cyclophosphamide-based regimens. The ATEMPT trial allowed a direct comparison of the CRA rate associated with TDM1 and TH. Methods: The ATEMPT trial randomized patients (pts) with Stage I HER2+ breast cancer 3:1 to T-DM1 3.6 mg/kg IV every 3 weeks (w) x17 vs. T 80 mg/m2 IV with H qw x 12 (4 mg/kg load →2 mg/kg), followed by H (6 mg/kg q3w x 13). Participants who reported that they were premenopausal at enrollment were asked to complete menstrual surveys at baseline and every 6-12 months throughout a 36 month follow-up period. For this analysis, CRA was defined as report of no menstruation within the prior six months on a survey completed 18 months after enrollment. Results: Of 512 ATEMPT enrollees, 497 began protocol therapy, 130 (26%) were premenopausal at enrollment and answered baseline menstrual questions, 42 of these 130 were excluded from the current analyses because they did not complete the 18-month survey, and 7 of the remaining 88 had received gonadotropin-releasing hormone agonist before 18 months, leaving 81 for analysis. None had undergone hysterectomy or oophorectomy. Median age was 44 (range 23-53) among the TH patients (n=20), and 46 (range 34-54) among the T-DM1 patients (n=61). On the 18-month survey, 45% of women treated with TH reported at least one one episode of menses during the prior 6 months compared to 75% of women in the T-DM1 arm (p=0.011). Among those ≤ 40 years old, 50% of TH patients and 100% of T-DM1 patients reported menstruation at that timepoint. Please see Table for additional data in subgroups. Conclusions: In this relatively small sample, CRA at 18 months was less common after adjuvant T-DM1 than after TH (though even with TH, nearly half of women did menstruate after chemotherapy, even in the subset aged 41+). This will be reassuring to young patients with HER2-positive breast cancer who seek to maintain ovarian function. Larger studies are needed to confirm this finding and to assess a possible differential impact of these drugs on subgroups based on age, endocrine therapy, and body mass index. Additional research should also focus on menopausal symptoms and actual fertility after receipt of T-DM1. Menstruation in 61 T-DM1 arm patients with informative surveys at 18 monthsMenstruation in 20 TH arm patients with informative surveys at 18 monthsAge at study entry95% CI95% CI≤4012/12 (100%)74-100%4/8 (50%)16-84%41+34/49 (69%)55-82%5/12 (42%)15-72%BMI&lt;3040/52 (77%)63-87%6/16 (38%)15-65%30+6/9 (67%)30-93%3/4 (75%)19-99%Endocrine therapy currentlyYes27/39 (69%)52-83%2/12 (17%)2-48%No19/22 (86%)65-97%7/9 (78%)40-97% Citation Format: Kathryn J. Ruddy, Lorenzo Trippa, Jiani Hu, William T. Barry, Chau T. Dang, Denise A. Yardley, Steven J. Isakoff, Vincente V. Valero, Meredith G. Faggen, Therese M. Mulvey, Ron Bose, Douglas J. Weckstein, Antonio C. Wolff, Katherine E. Reeder-Hayes, Hope S. Rugo, Bhuvaneswari Ramaswamy, Dan S. Zuckerman, Lowell L. Hart, Vijayakrishna K. Gadi, Michael Constantine, Kit L. Cheng, Frederick M. Briccetti, Bryan P. Schneider, A. Merrill Garrett, P. Kelly Marcom, Kathy S. Albain, Patricia A. DeFusco, Nadine M. Tung, Blair M. Ardman, Rita Nanda, Rachel C. Jankowitz, Michelle K. DeMeo, Harold J. Burstein, Eric P. Winer, Ian E. Krop, Ann H. Partridge, Sara M. Tolaney. Chemotherapy-related amenorrhea (CRA) after adjuvant trastuzumab emtansine (T-DM1) compared to paclitaxel in combination with trastuzumab (TH) (TBCRC033: ATEMPT trial) [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P2-13-02.

1032 Background: Obesity is a predictor of poor outcomes in women with early-stage breast cancer (BC). Some reports suggest that obesity is associated with aggressive tumor histology. We examined the relationship between BMI at diagnosis and PAM50 subtype, and explored the interaction between BMI and subtype on prognosis in early BC. Methods: CALGB 9741 evaluated dose-density and sequence in node-positive BC. All patients received doxorubicin, cyclophosphamide and paclitaxel dosed by actual body weight without cap or dose adjustment. The primary endpoint was RFS. Height and weight at diagnosis were abstracted from patient records; the PAM50 assay was performed using the Nanostring platform. Association between PAM50 and BMI was assessed by a chi-squared test. The prognostic value of BMI conditional on PAM50 was tested as a continuous variable using Cox models for RFS adjusted for number of involved nodes, tumor size, menopausal status, drug sequence, and dose density. Results: Baseline height and weight were available for 1909 of 2005 enrolled patients; 1272 also had subtype determination by PAM50. Distribution of subtypes differed significantly by BMI (p=0.03), with all weight groups having similar proportions of Basal and HER-2 Enriched subtypes and with obese patients having lower rates of Luminal A (30 vs 35%) and higher rates of Luminal B (39 vs 26%) tumors as compared to normal-weight individuals. In multivariate analyses, BMI and subtype were independent predictors of RFS (p=0.011 and p<0.001, respectively). Exploratory analyses did not show a significant interaction between subtype and the relationship between increased BMI and RFS (p=0.15), although largest differences were seen among Luminal cancers (Table). Conclusions: Biologic subtypes were distributed differently in obese and non-obese individuals. The association between BMI and RFS did not differ significantly by subtype in this study. More work is needed to further explore the interaction of BMI and subtype, especially in a larger cohort of Luminal tumors. [Table: see text]

CRA1002 The full, final text of this abstract will be available at abstract.asco.org at 12:01 AM (EDT) on Monday, June 4, 2012, and in the Annual Meeting Proceedings online supplement to the June 20, 2012, issue of Journal of Clinical Oncology. Onsite at the Meeting, this abstract will be printed in the Monday edition of ASCO Daily News.

AbstractChemotherapy‐induced peripheral neuropathy (henceforth, neuropathy) is often dose limiting and is generally managed by empirical dose modifications. We aimed to (1) identify an early time point that is predictive of future neuropathy using a patient‐reported outcome and (2) propose a dose‐adjustment algorithm based on simulated data to manage neuropathy. In previous work, a dose‐neuropathy model was developed using dosing and patient‐reported outcome data from Cancer and Leukemia Group B 40502 (Alliance), a randomized phase III trial of paclitaxel, nanoparticle albumin–bound paclitaxel or ixabepilone as first‐line chemotherapy for locally recurrent or metastatic breast cancer. In the current work, an early time point that is predictive of the future severity of neuropathy was identified based on predictive accuracy of the model. Using the early data and model parameters, simulations were conducted to propose a dose‐adjustment algorithm for the prospective management of neuropathy in individual patients. The end of the first 3 cycles (12 weeks) was identified as the early time point based on a predictive accuracy of 75% for the neuropathy score after 6 cycles. For paclitaxel, nanoparticle albumin–bound paclitaxel, and ixabepilone, simulations with the proposed dose‐adjustment algorithm resulted in 61%, 48%, and 35% fewer patients, respectively, with neuropathy score ≥8 after 6 cycles compared to no dose adjustment. We conclude that early patient‐reported outcome data on neuropathy can be used to guide dose adjustments in individual patients that reduce the severity of future neuropathy. Prospective validation of this approach should be undertaken in future studies.

Background The authors conducted a cluster randomized study to determine the effect of an exportable educational intervention for young women with breast cancer (YWI) on improving care. Methods Sites were randomized 1:1 to the YWI or a contact time control physical activity intervention (PAI) stratified by academic or community site. Up to 15 women aged ≤45 years with newly diagnosed breast cancer were enrolled at each of 14 academic sites and 10 were enrolled at each of 40 community sites. The primary endpoint, attention to fertility, was ascertained by medical record review. Statistical inferences concerning the effect of the intervention used general estimating equations for clustered data. Results A total of 467 patients across 54 sites were enrolled between July 2012 and December 2013. The median age of the patients at the time of diagnosis was 40 years (range, 22‐45 years). Attention to fertility by 3 months was observed in 55% of patients in the YWI and 58% of patients in the PAI ( P = .88). Rates were found to be strongly correlated with age ( P < .0001), and were highest in patients aged <30 years. Attention to genetics was similar (80% in the YWI and 81% in the PAI), whereas attention to emotional health was higher in patients in the YWI (87% vs 76%; estimated odds ratio, 2.63 [95% confidence interval, 1.20‐5.76; P = .016]). Patients rated both interventions as valuable in providing education (64% in the YWI and 63% in the PAI). Conclusions The current study failed to demonstrate differences in attention to fertility with an intervention to improve care for women with breast cancer, although attention to fertility was found to be higher than expected in both groups and emotional health was improved in the YWI group. Greater attention to young women with breast cancer in general may promote more comprehensive care for this population.