Ballman, K. V.

Abstract Background PALLAS trial compared palbociclib plus endocrine therapy (ET) vs. ET alone in stage II-III HR+/HER2- breast cancer. SETER/PR index quantifies transcriptional activity related to estrogen and progesterone receptors and serves as a measure of endocrine sensitivity. In CALGB 9741, low SETER/PR (< 0.75) - reflecting endocrine resistance - predicted survival benefit from adjuvant anthracycline/taxane-based treatment. In PALLAS low SETER/PR was associated with worse prognosis and early recurrence. Early recurrences driven by endocrine-resistant tumors may obscure the benefit of palbociclib by disproportionately contributing events from a more resistant population. We hypothesized that palbociclib efficacy might vary by endocrine sensitivity and prior chemotherapy regimen, with greatest benefit in patients with intermediate SETER/PR index. Methods Invasive disease-free survival (iDFS) was summarized with Kaplan-Meier plots and the treatment arms were compared with a log-rank test. Cox models estimated the hazard ratio (HR) with 95% confidence interval (95%CI) (significance level used was a two-sided 0.05). SETER/PR index was successfully obtained for 3,090 PALLAS patients (TransPALLAS ITT cohort, Metzger et al. ASCO 2024). SETER/PR index cut points (0.75 and 1.50) were proposed from previous studies comparing different adjuvant chemotherapy regimens. Results Table 1 summarizes the efficacy of adjuvant palbociclib by prior (neo)adjuvant chemotherapy regimen. Palbociclib was associated with longer iDFS in the group who received prior anthracycline-paclitaxel chemotherapy (AC-P), though the chemo regimen x palbociclib interaction term was not significant (Table 1). In the 1,132 patients from the TransPALLAS cohort who received AC-P chemotherapy, the 518 (46%) patients with intermediate SETER/PR (0.75≤ SETER/PR <1.50) had longer iDFS with palbociclib (HR 0.58; 95% CI: 0.40-0.84; p=0.004; 7-yr iDFS 80.2% vs. 68.4%), but this subset did not predict palbociclib benefit relative to all others, i.e., 206 (18%) patients with low SETER/PR (<0.75) and 408 (36%) high SETER/PR (≥1.50); P interaction=0.11. Exploratory analysis of SETER/PR index as a continuous variable in patients who received prior AC-P chemotherapy revealed a non-linear relationship with the hazard ratio favoring palbociclib observed in the subset with SETER/PR values between 1.1 and 1.8, compared to all others (P interaction=0.01). Conclusions In PALLAS, we observed a numerical benefit favoring palbociclib among pts treated with adjuvant AC-P; in this subset a moderate level of endocrine transcriptional activity (SETER/PR index between 1.1 and 1.8) predicted palbociclib benefit. These results are hypothesis-generating. Citation Format: O. Metzger, P. O'Brien, K. Ballman, M. Gnant, M. Watson, E. Chen, K. Tran, D. Hlauschek, M. Martin, J. Balko, Z. Nowecki, O. Hahn, C. Denkert, C. Curtis, F. Liu, A. Dueck, C. Fesl, E. Mayer, A. De Michele, W. Symmans. Exploratory analysis of palbociclib benefit in the PALLAS trial by SETERPR index and prior chemotherapy regimens (ABCSG-42/AFT-05/BIG-14-13) [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS3-08-13.

Abstract BACKGROUND: Obesity is prevalent in Hispanic patients (pts) with breast cancer (BC), but this population is often underrepresented in studies of weight loss interventions (WLIs). The BWEL trial (Alliance A011401; NCT02750826) is a phase III randomized trial testing the impact of a 2-year (yr) telephone-based WLI on invasive disease-free survival in pts with stage II-III HER2-negative BC and a body mass index (BMI) > 27 kg/m2. At 12 months (mo), Hispanic pts lost less weight than White pts on the WLI. Here, we evaluate differences in intervention engagement over the first 12 mo by language preference and ethnicity among BWEL pts on the WLI. METHODS: BWEL randomized pts 1:1 to WLI + health education (HE) or HE alone. WLI +HE pts received semi-structured telephone-based health coaching in English or Spanish, in addition to access to an activity monitor, wireless scale and meal replacement shakes. Pts self-reported ethnicity and their preferred language for the WLI. Kruskal Wallis and chi-square tests were used to assess language and ethnicity differences in demographic and treatment factors for continuous and categorical variables, respectively. Percent weight change and mean values for intervention attrition, number of calls, call duration, number of shake shipments, and frequency of activity monitor use and weight tracking over 12 mo were compared between Spanish-preferred Hispanic pts (SH), English-preferred Hispanic (EH) pts and non-Hispanic (NH) pts using ANOVA. Pts with missing language, ethnicity or 12 mo weight data were excluded from analysis. RESULTS: 1591 pts were randomized to the WLI + HE from 08/2018 to 02/2021. 80.5% of pts were White, 12.8% Black and 7.1% Hispanic. 1190 pts had 12 mo weight and language available. Among the 87 WLI + HE pts who had available data and identified as Hispanic, 34% were SH and 66% EH. SH WLI pts were younger (in yrs: 49.5 SH, 51.1 EH, 53.9 NH, p=0.006) and had lower BMI (32.2 SH, 35.1 EH, 34.5 NH, p=0.007). At 12 mo, SH WLI pts lost 2.4% of baseline body weight vs 3.3% in EH and 5.1% in NH (p=0.051) (Table). Compared with EH and NH WLI pts, SH WLI pts participated in fewer calls (15.7 SH, 21.1 EH, 24.3 NH, p< 0.0001), had fewer days of activity monitor use (134.2 SH, 177.3 EH, 205.3 NH, p=0.015) and fewer days of weight tracking (65.3 SH, 96.8 EH, 148.2 NH, p<0.0001), but had more shake shipments (3.9 SH, 3.5 EH, 3.0 NH, p=0.015). There were no significant differences in attrition rate or call duration by language preference or ethnicity. CONCLUSIONS: In a large phase III WLI study in breast cancer patients, engagement with the WLI appeared lower in SH pts, despite provision of the intervention in Spanish. More work is needed to improve accessibility and efficacy of WLI studies among non-English speaking populations. Support: U10CA180821, U10CA180882, UG1CA189823; https://acknowledgments.alliancefound.org. Citation Format: A. Odai-Afotey, K. V. Ballman, L. M. McCall, C. Cao, C. Alfano, V. Bernstein, T. E. Crane, L. M. Delahanty, L. Frank, P. J. Goodwin, O. Hahn, D. L. Hershman, J. O. Hopkins, M. Irwin, E. L. Mayer, L. Minasian, L. Nebeling, M. Neuhouser, E. D. Paskett, P. A. Spears, V. Stearns, C. A. Thomson, T. A. Wadden, A. Weiss, J. White, C. Hudis, E. P. Winer, L. Carey, A. H. Partridge, J. Ligibel. Variation in weight loss and intervention engagement in the Breast Cancer Weight Loss (BWEL) trial by language and ethnicity (Alliance) [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS4-09-29.

Abstract Background: We have identified two potentially predictive signatures of palbociclib resistance: the RBsig, composed of E2F1/E2F2 dependent genes, which is associated with genetic loss of RB1, and the ratio between the gene expression levels of CCNE1 to RB1 (CCNE1/RB1). Both signatures have been previously analyzed in vitro and in neoadjuvant and metastatic studies with palbociclib. The present analysis aims to explore the role of RBsig and CCNE1/RB1 in the phase III adjuvant PALLAS trial, which randomized patients to palbociclib plus endocrine therapy, versus endocrine therapy alone. Materials and methods: Gene expression data from PALLAS were generated using the HTG EdgeSeq Oncology BM Panel. Of the 87 genes composing RBsig, 46 were available within the EdgeSeq dataset and were used for the analyses; CCNE1 and RB1 were both available. RBsig was calculated as the mean of the Z-score scaled gene expression (log) of the 46 genes; CCNE1/RB1 was computed as the log ratio between the mRNA expression of CCNE1 and RB1. The prognostic/predictive effect of the continuous signatures in terms of invasive disease-free survival (IDFS), distant recurrence-free survival (DRFS), and overall survival (OS) was evaluated using Cox proportional hazard models. Results: HTG data were available from 2,587 of 5,748 patients from the entire PALLAS intention-to-treat (ITT) cohort. As RBsig and CCNE1/RB1 levels are affected by pre-surgical treatments, we limited the analyses to 1612 pre-treatment samples (530 core biopsies and 1082 surgical specimens) (analysis population). Compared with the entire PALLAS ITT cohort, the analysis population was significantly enriched for patients with low clinical risk (41.3% vs 59.4%) who did not receive prior chemotherapy (17.5% vs 55.9%). In keeping with the PALLAS ITT cohort, no significant benefit from the addition of palbociclib was observed in the analysis population. Higher baseline RBsig or CCNE/RB1 values were significantly and independently associated with worse IDFS (hazard ratio [HR] 1.63, 95% confidence interval [CI] 1.3-2.0; HR 1.22, 95%CI 1.1-1.3, respectively), DRFS (HR 1.94, 95%CI 1.5-2.5; HR 1.26, 95%CI 1.1-1.4, respectively) and OS (HR 1.79, 95% CI 1.3-2.4; HR 1.26, 95%CI 1.1-1.4, respectively) in the analysis population. No predictive effect of palbociclib benefit was observed for either signature in the analysis population, nor according to clinical risk or chemotherapy receipt. Interestingly, higher RBsig was strongly prognostic in patients who did not receive adjuvant chemotherapy (HR 1.83, 95%CI 1.4-2.3) but not in those who received it (HR 1.01, 95%CI 0.6-1.6) (interaction p=0.02) suggesting a potential predictive role of RBsig for chemotherapy benefit. Conclusions: In the PALLAS trial, higher baseline RBsig or CCNE1/RB1 values are associated with worse prognosis, but are not predictive of benefit from palbociclib in the adjuvant setting. RBsig might be associated with differential benefit from chemotherapy. Further study of these biomarkers may strengthen their role in risk stratification.https://acknowledgments.alliancefound.org Citation Format: L. Malorni, D. Hlauschek, E. Mayer, M. Benelli, L. Biganzoli, I. Migliaccio, A. Kermanidis, G. Pfeiler, E. P. Mamounas, A. M. Brufsky, M. Bellet-Ezquerra, K. Clifton, G. Rubovszky, T. Foukakis, M. Goetz, S. Lee, M. Ruiz-Borrego, W. Symmans, K. V. Ballman, F. Liu, J. Machacek-Link, C. Denkert, A. DeMichele, M. Gnant. Prognostic and predictive role of RBsig and CCNE1/RB1 gene-expression signatures for patients with early breast cancer treated with endocrine therapy with or without palbociclib in the PALLAS trial (ABCSG-42, AFT-05, BIG 14-03) [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-07-13.

Abstract Background: Microtubule inhibitors remain a standard chemotherapy in the management of HER2-negative metastatic breast cancer (MBC). CALGB (Alliance) 40502 was a phase 3 randomized study involving 799 patients with MBC receiving first-line chemotherapy, to determine the optimal chemotherapeutic agent among paclitaxel, nab-paclitaxel, or ixabepilone (with or without bevacizumab). Secondary analysis suggested inferior PFS with nab-paclitaxel specifically among patients with hormone receptor positive (HR+)/HER2-negative breast cancer. Correlative analysis demonstrated significant association of stromal tumor infiltrating lymphocytes (sTILs) with improved progression-free (PFS) and overall survival (OS) in CALGB40502. We hypothesized that immune activation would be associated with differential benefit among distinct microtubule agents. To address this, we evaluated the sTILs and RNA-based immune features association with clinical outcomes, including evaluation of nab-paclitaxel versus paclitaxel. Methods: To limit heterogeneity, analyses focused on pre-treatment primary tumor breast samples with central review/pathologist-enumerated sTILs in accordance with International TILs Working Group methods and RNAseq (n = 280). PAM50 molecular subtypes were assigned based on transcriptomic features. RNAseq data were used to generate immune deconvolution estimates from 5 distinct algorithms (CIBERSORT, xCell, ABIS, ConsensusTME, ImmuCellAI). 1,018 curated breast cancer gene expression signatures GES) were derived from previously published studies. Associations between sTILs and GES were evaluated with sTILs being a categorical variable with the thresholds <5% (low) and (≥5%) high. Results: In the evaluable population, basal-like PAM50 subtype was enriched for high sTILs category (p=1e-4), as anticipated. T-cell and B-cell immune signatures and immune deconvolution estimates were among most highly associated with sTILs. In addition to the expected prognostic association of high T-cell GES, high B-cell-related IgG signature score was also significantly associated with improved overall survival (OS) among triple-negative breast cancer (TNBC) in CALGB 40502 (HR = 0.50,95% CI:0.30-0.86, log-rank p=0.01) but not in HR+/HER2-. In an exploratory analysis of young patients (age at study entry <50 years), high sTILs were associated with improved OS among TNBC patients but worse OS among those with HR+/HER2- MBC (HR = 2.19, 95% CI:1.10-4.36, log-rank p=0.022). High (above median) RNA-based Xcell total immune score was significantly associated with worse OS in both CALGB 40502 and a validation dataset of primary breast cancers, METABRIC (OS HR = 2.12, 95% CI:1.01-4.45, log-rank p=0.042). To further investigate the clinical trial finding of inferior PFS for nab-paclitaxel compared with paclitaxel in patients with HR+/HER2- MBC, there was a significant enrichment of T-cell signatures associated with poor outcome in patients receiving nab-paclitaxel (Fisher exact p<0.001). Conclusion: In this translational analysis of sTILs and RNAseq from a large phase III clinical trial, sTILs and immune signatures were not uniformly associated with better outcome. Rather, high sTILs or immune signatures were associated with worse OS in young patients with HR+/HER2- breast cancer and higher T-cell signatures were associated with inferior PFS with nab-paclitaxel among HR+/HER2- MBC patients. These data reinforce the importance of context/subtype-specific interrogation of the tumor-immune microenvironment Support: U10CA180821, U10CA180882; https://acknowledgments.alliancefound.org. Bristol Myers Squibb (BMS); Clinicaltrials.gov Identifier: NCT00785291 Citation Format: E. K. Blige, K. V. Ballman, A. Michmerhuizen, M. Vater, L. A. Carey, A. H. Partridge, W. F. Symmans, M. A. Watson, C. M. Perou, D. G. Stover, H. S. Rugo. Rna-based immune features associated with benefit from distinct microtubule inhibitor therapy for metastatic her2-negative breast cancer: a post hoc analysis of the calgb 40502 (alliance) phase iii randomized clinical trial [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS1-13-17.

Abstract Background: Obesity is a poor prognostic factor in early breast cancer (BC). The BWEL trial (Alliance A011401; NCT02750826) is a phase 3 randomized trial testing the impact of a weight loss intervention (WLI) on invasive disease-free survival in women with stage II-III BC and a body mass index (BMI) ≥27 kg/m2. Here we report trajectories of weight change in BWEL WLI participants (pts). Methods: Eligible pts were within 16 months of diagnosis of stage II-III HER2-negative BC, had completed chemotherapy (chemo) and radiation (if given), and were randomized 1:1 to a telephone-based WLI, focused on caloric restriction and exercise, plus health education (HE) or to an HE-alone control group. WLI pts were assigned a trained coach at the BWEL call center and received 42 phone calls over the 2-year (yr) WLI period. Weight and height at baseline, 6 and 24 months were collected by study staff. All WLI pts were provided with a Fitbit wireless scale. Fitbit weight records (FWRs) were automatically imported to the BWEL portal for pts with wireless access and self-reported in the portal for pts without wireless access. FWRs were averaged (avg) by week (wk) from the WLI start date up to 104 wks. Baseline pt factors were self-reported; treatment history was abstracted from the medical record. Linear mixed-effect models were used to evaluate trajectories of weight change over the 104-wk WLI. Principal component analysis and multinomial models were used to examine distinct clusters of weight trajectories. Results: 3180 pts were enrolled from 637 sites between 8/2016 and 2/2021. FWRs were available from 1508 of 1591 WLI pts, with a total of 366,294 FWRs collected during the 2-yr WLI period. In pts with FWRs, mean baseline BMI was 34.4 ± 5.6 kg/m2, mean age was 53.2 ± 10.3 yrs, 10.8% self-identified as Non-Hispanic (NH) Black and 6.1% as Hispanic, 81.1% received chemo and 56.9% were postmenopausal. No statistically significant differences in baseline factors were observed between pts with and without FWRs. Intraclass correlation coefficient of baseline weights collected by study staff and by Fitbit scales was 0.99. In the WLI cohort, avg weekly weight (kg) decreased from 91.4 (95% CI: 90.6-92.3) at baseline to 85.6 (95% CI: 84.8-86.5) by wk 40, corresponding to a peak loss of 6.1% (95% CI: 5.7-6.4) of baseline weight. Weight remained stable until wk 52 and then gradually increased to 87.0 kg (95% CI: 86.2-87.9) at wk 104, corresponding to a 4.4% (95% CI: 4.0-4.8) loss at wk 104 vs. baseline. Principal component analysis identified 3 distinct weight trajectories: 67.6% of pts experienced peak weight loss of 6.6% (95% CI: 6.3-6.9) of baseline weight, 10.0% experienced peak loss of 17.5% (95% CI: 16.8-18.2) of baseline weight, and 22.4% did not achieve weight loss, gaining on avg 2.2% (95% CI: 1.7-2.6) of baseline weight. Pts with college (relative risk ratio [RRR]=1.41, 95% CI: 1.03-1.92) and post-graduate education (RRR= 1.58, 95% CI: 1.13-2.20) and those who were premenopausal (RRR=1.70, 95% CI: 1.28-2.26) were more likely to be in the cluster that did not lose weight. Pts who were NH White (RRR=3.60, 95% CI: 1.95-6.68), postmenopausal (RRR=1.94, 95% CI: 1.28-2.95), had no alcohol use (RRR=1.49, 95% CI: 1.03-2.16), had not received chemo (RRR=1.76, 95% CI: 1.15-2.72), and had <3 chronic conditions (RRR: 2.12, 95% CI: 1.23-3.66) were more likely to be in the cluster with the highest weight loss. Conclusion: Longitudinal weight data from BWEL demonstrate peak weight loss of 6.1% in the WLI cohort at 40 wks, with distinct trajectories indicating differential responses to the WLI. This work demonstrates the feasibility of using digital health tools to track outcomes in the setting of a large-scale weight loss intervention study and informs future precision behavioral interventions in oncology. Support: U10CA180821, U10CA180882, UG1CA189823; U10CA180863. https://acknowledgments.alliancefound.org. Citation Format: C. Cao, K. Ballman, L. McCall, C. Alfano, V. Bernstein, T. Crane, L. Delahanty, L. Frank, P. Goodwin, O. Hahn, D. Hershman, J. Hopkins, M. Irwin, E. Mayer, L. Minasian, L. Nebeling, M. Neuhouser, E. Paskett, P. Spears, V. Stearns, C. Thomson, T. Wadden, A. Weiss, J. White, C. Hudis, E. Winer, A. Partridge, L. Carey, J. Ligibel. Weight Trajectories in the Breast Cancer Weight Loss (BWEL) Trial (Alliance) [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PD8-01.