Breast cancer in women aged 80 years and older: Clinical characteristics and treatment patterns according to biologic subtype.
Bibliographic record
Abstract
e12594 Background: Older age is associated with poorer breast cancer-specific survival (BCSS) outcomes, despite a higher prevalence of biologically favorable disease. We sought to evaluate differences in the clinical characteristics and management of older women according to biologic subtype of breast cancer. Methods: The Surveillance, Epidemiology, and End Results (SEER) treatment database was queried to identify all women aged 80 years or older with a first diagnosis of invasive breast cancer between 2010 and 2016. Patients were subgrouped according to biologic subtype and clinical and treatment-related variables were compared. Multivariable logistic regression was then performed to determine factors independently associated with receipt of breast-conserving surgery (BCS) and adjuvant radiation. Results: Overall, 27,375 women with a median age of 84 (range, 80-108 years) met inclusion criteria. The majority of older women were diagnosed with HR+HER2- breast cancer (78.9%), followed by HER2+ (11.0%) and triple-negative breast cancer (TNBC) (10.0%). In women with stage I-III disease, non-operative management was employed in 13.4% of HR+HER2- patients, compared to 16.7% of HER2+ patients and 11.0% of TNBC (p < 0.001). In those undergoing surgery, BCS was most common in HR+HER2- patients (80.9%), compared to HER2+ (68.9%) and TNBC (67.8%; p < 0.001). Axillary surgery was performed in 74.0% of early stage patients with HR+HER2- disease, compared to patients with HER2+ (77.8%) and TNBC (79.3%; p < 0.001). In adjusted analyses controlling for stage and clinical variables, women aged 80 years or older with HER2+ breast cancer and TNBC had a lower likelihood of BCS (ORHER2+ 0.72, 95% CI 0.65-0.80; ORTNBC 0.72, 95% CI 0.65-0.81), and an increased likelihood of adjuvant radiation (ORHER2+ 1.14, 95% CI 1.02-1.27; ORTNBC 1.40, 95% CI 1.25-1.57). Conclusions: One fifth of women with breast cancer over age 80 are diagnosed with HER2+ and triple-negative subtypes, which are associated with more aggressive local therapy. Further studies are warranted to determine if higher rates of adjuvant radiation optimize local control in older HER2+ and TNBC patients at increased risk for early locoregional recurrences.
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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 | 0.002 |
| 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".