Survival following locoregional recurrence in breast cancer by clinical subtype.
Bibliographic record
Abstract
543 Background: We sought to explore the impact of locoregional recurrence (LRR) on survival in breast cancer (BC) patients in British Columbia treated in the modern era. Methods: A retrospective cohort study design identified patients diagnosed with stage I-III BC from 04/2005-12/2013 treated with surgery and who had a subsequent LRR. Exclusions were death or distant metastasis within 120 days of LRR, bilateral previous/synchronous BC, and other invasive cancers. After LRR, overall survival (OS) and factors associated with OS, including clinical subtype and adjuvant therapy (AdTx), were examined. We defined clinical subtypes as: Luminal (Lum) A-estrogen receptor (ER) and progesterone receptor (PR) positive, HER2 negative, and grade 1 or 2; Lum B-as Lum A but grade 3, or as Lum A but only one of ER or PR positive; triple negative (TNBC)-ER and PR and HER2 negative; and HER2 positive (with any ER, PR). In the absence of earlier LRR, we defined adequate AdTx as: (a) TNBC: >=50% of planned chemotherapy (Chx), (b) HER2 positive: >=50% of planned Chx and >=8 cycles of anti-HER2 therapy, (c) Lum A, B: >=4 years of endocrine therapy and (d) after partial mastectomy or positive final margins: >=50% of radiation therapy dosage. Results: The final cohort had 492 patients with a median follow-up of 7.2 years from LRR and 11.8 years from diagnosis. LRR was local in 69.3% (n=341) and regional +/- local in 30.7% (n=151). Compared with local only, regional recurrences were associated with higher T and N stage, grade, and Lum status (p<=0.01). Biomarkers were re-evaluated at LRR in 82% and changed from initial diagnosis in 32% of those tested: ER expression 3.8% gain, 6.1% loss; PR expression 9.1% gain, 15.1% loss; HER2 overexpression 3.7% gain and 4.8% loss. Over half of patients (n=255, 52%) did not receive adequate AdTx, either by choice or recommendation. A similar proportion with local vs. regional recurrence had inadequate AdTx. Time to death from 1st LRR did not vary significantly between local vs. regional recurrences (median 2.7 years). OS after LRR was lowest in TNBC (median 3.1 years, 24.2% 10-year OS) and longest in Lum A (median not reached, 64.7% 10-year OS) (Table). Conclusions: Our data provide rates of OS after LRR in the era of modern adjuvant therapy. OS after LRR varied by clinical subtype, with TNBC faring the worst, and Lum A the best. Over half had not received adequate AdTx. Despite similar treatment options, OS after LRR was significantly longer for Lum A than B subtypes, underscoring the need for therapy tailored to biology. OS was low in all other subtypes, emphasizing the importance of avoiding LRR.[Table: see text]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".