Abstract PD2-07: 10-year follow-up and biomarker discovery for adjuvant endocrine therapy; results of the TEAM trial
Bibliographic record
Abstract
Abstract Optimal endocrine therapy for postmenopausal, hormone-receptor positive (HR+) early breast cancer remains a point of discussion. The Tamoxifen Exemestane Adjuvant Multinational (TEAM) phase III trial showed no significant differences for disease free survival (DFS) and overall survival (OS) at 5 years between exemestane monotherapy and sequential treatment (tamoxifen followed by exemestane). We now report disease related outcomes at 10 years of follow-up (FU), and an explorative analysis to assess the predictive value of clinicopathological and immune-related biomarkers. In the TEAM trial, postmenopausal women with HR+ positive early breast cancer were randomly assigned to exemestane alone or sequential therapy. For this analysis, TEAM patients from countries that completed 10 years of FU were included. The primary endpoint was DFS at ten years, analyzed by intention to treat. Secondary outcomes were OS and cumulative incidence of relapse. An explorative per protocol analysis for relapse free survival (RFS) was performed to identify predictive pathological and immunological biomarkers, including centrally determined ER (ER-poor 0-6 vs ER-rich 7-8) and PR (0-4 vs 5-8) Allred scores, and the immunological markers CD8, FoxP3, classical HLA class 1 and HLA-G which were described earlier (Engels et al, Breast Cancer Treat Res, 2015). In total, 6120 patients were eligible for the current analysis, 3075 patients with exemestane monotherapy and 3045 patients randomized to sequential treatment. Median follow up was 9.83 years. DFS was 66.8% in the exemestane group and 66.8% in the sequential group (hazard ratio (HR) 0.96, 95% CI 0.88-1.05, p=0.389). OS was 74% in the exemestane, and 73% in the sequential group, respectively (HR 0.98, 95% CI 0.89-1.09, p=0.737). The cumulative incidence of relapse was 20% and 22% in the exemestane and sequential groups, respectively (HR 0.88, 95% CI 0.79-0.99, p=0.031). In the explorative per protocol analysis (n=4041), Allred score were available for 2996 patients; immunological markers for 1754 patients. Patients with above median numbers of FoxP3-positive T-cells showed a benefit of exemestane monotherapy for RFS (HR 0.56, 95% CI 0.42-0.75, p<0.001) in contrast to patients with low numbers of FoxP3-positive cells (HR 1.0, 95% CI 0.77-1.32, p=0.97, p-value for interaction 0.004). A high tumor differentiation grade was associated with more benefit for exemestane monotherapy (grade 1/2 HR 0.78, 95% CI 0.65-0.94, p=0.01, grade 3/4 HR 0.61, 95% CI 0.49-0.75, p<0.001), with a borderline significant interaction (p=0.07). ER Allred score showed a borderline significant treatment by marker effect interaction (ER-rich HR 0.69 (95% CI 0.58-0.81, p<0.001); ER-poor HR 0.94 (95% CI 0.65-1.34, p=0.71, p for interaction 0.12). After ten years of follow up, both exemestane monotherapy and sequential therapy remain appropriate options for postmenopausal HR+ early breast cancer patients. Interestingly, the number of regulatory T-cells was a predictive factor for the benefit of exemestane monotherapy, which implies a role of the local immune system in endocrine therapy. Furthermore, data suggested that patients with a higher differentiation grade or ER-rich tumor derive more benefit from exemestane monotherapy. Citation Format: Blok EJ, Derks MGM, Kuppen PJK, Meershoek-Klein Kranenbarg EM, Engels CC, Liefers G-J, Putter H, Seynaeve CM, Kroep JR, Nortier JWR, Rea DW, Hasenburg A, Markopoulos CJ, Paridaens R, Bartlett JMS, van de Velde CJH. 10-year follow-up and biomarker discovery for adjuvant endocrine therapy; results of the TEAM trial [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr PD2-07.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".