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15-year outcomes for women with premenopausal hormone receptor-positive early breast cancer (BC) in the SOFT and TEXT trials assessing benefits from adjuvant exemestane (E) + ovarian function suppression (OFS) or tamoxifen (T)+OFS.

2025· article· en· W4410812294 on OpenAlexaff
Prudence A. Francis, Gini F. Fleming, Olivia Pagani, Barbara Walley, Sherene Loi, Marco Colleoni, Meredith M. Regan

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineExemestaneTamoxifenBreast cancerOncologyInternal medicineAdjuvantGynecologyHormone receptorEstrogen receptorCancer

Abstract

fetched live from OpenAlex

505 Background: Long-term follow-up of the SOFT and TEXT randomized trials has shown persistent reduction of recurrence from inclusion of OFS in adjuvant endocrine therapy, and clinically meaningful improvement in overall survival (OS) among patients at higher baseline risk of recurrence. We report a final update after a median follow-up of 15y in SOFT and 16.6y in TEXT. Methods: SOFT and TEXT enrolled premenopausal women with HR+ early BC from November 2003 to April 2011 (2660 in TEXT, 3047 in SOFT intention-to-treat populations). TEXT randomized women within 12 weeks of surgery to 5y E+OFS vs T+OFS; chemotherapy (CT) was optional and concurrent with OFS. SOFT randomized women to 5y E+OFS vs T+OFS vs T alone, within 12 weeks of surgery if no CT planned, or within 8 months of completing (neo)adjuvant CT. Both trials were stratified by CT use. The primary endpoint was disease free survival (DFS) which included invasive local, regional, distant and contralateral breast events, second non-breast malignancies and deaths. Secondary endpoints included invasive breast cancer-free interval (BCFI), distant recurrence free interval (DRFI) and OS. 20y data collection was completed in Q4’2024: 80% of surviving patients had final follow-up during or subsequent to 2020, for 70% it was during 2023-2024. 15y Kaplan-Meier estimates and hazard ratios (HR) with 95% CIs are reported. Results: There were 815 DFS events and 388 deaths reported in SOFT; and 669 DFS events and 325 deaths in TEXT. In SOFT, a moderate DFS benefit of T+OFS vs T (HR 0.85; 0.72-1.00) persisted, however 1/6 DFS events were not BC related; BCFI benefit was HR 0.82 (0.69-0.98). E+OFS vs T further reduced DFS events (HR 0.73; 0.61-0.86). The 15y DFS in SOFT was 67.0% for T, 70.5% for T+OFS and 73.5% for E+OFS. There were consistent but non-significant decreased hazards of death for T+OFS vs T (HR 0.87; 0.68-1.10) and E+OFS vs T (HR 0.85; 0.67-1.08). 15y OS was 85.3%, 86.7%, 86.9% respectively. For the TEXT+SOFT combined analysis of E+OFS vs T+OFS (n=2346 vs 2344) DFS, BCFI and DRFI continued as significantly improved for E+OFS over T+OFS. 15y DFS was 74.9% vs 71.3% (HR 0.82; 0.73-0.92). 15y OS was 87.8% vs 87.0% (HR 0.94; 0.80-1.11) respectively. 15y estimates by CT use are tabulated. Conclusions: The high level 15y final results of the SOFT and TEXT confirm a role for OFS- and aromatase inhibitor-containing adjuvant endocrine therapy for premenopausal women. Analysis is ongoing. Clinical trial information: NCT00066690 (SOFT) and NCT00066703 (TEXT) . 15y (%) Events SOFT Prior CT (n=1628) SOFT no CT (n=1419) CT+noCT T / T+OFS / E+OFS T / T+OFS / E+OFS DFS 536+279 60.9 / 63.0 / 66.3 73.9 / 79.1 / 82.1 DRFI 367+56 73.5 / 73.8 / 77.6 94.7 / 94.7 / 96.8 OS 318+70 77.4 / 79.4 / 79.8 94.4 / 95.1 / 95.2 TEXT CT (n=1607) TEXT no CT (n=1053) T+OFS / E+OFS T+OFS / E+OFS DFS 456+213 68.5 / 72.1 76.8 / 81.8 DRFI 286+69 79.0 / 81.3 91.6 / 94.6 OS 266+59 82.7 / 84.3 94.1 / 94.8

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.042
GPT teacher head0.395
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations16
Published2025
Admission routes1
Has abstractyes

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