Relationship Between Tumor Location and Relapse in 6,781 Women With Early Invasive Breast Cancer
Bibliographic record
Abstract
PURPOSE: To explore the independent prognostic impact of medial hemisphere tumor location in early breast cancer. PATIENTS AND METHODS: A comprehensive database was used to review patients referred to the British Columbia Cancer Agency from 1989 to 1995 with early breast cancer. Patients were grouped according to relapse risk (high or nonhigh) and adjuvant systemic therapy received. Multiple regression analysis was used to determine whether the significance of primary tumor location (medial v lateral hemisphere) was independent of known prognostic factors and treatment. RESULTS: In the adjuvant systemic therapy groups, medial location was associated with a 50% excess risk of systemic relapse and breast cancer death compared with lateral location. Five-year systemic disease-free survival rates were 66.3% and 74.2% for high-risk medial and lateral lesions, respectively (P <.005). Corresponding 5-year disease-specific survival rates were 75.7% and 80.8%, respectively (P <.03). No significant differences were observed between medial and lateral location for low-risk disease regardless of adjuvant therapy or for high-risk disease with no adjuvant therapy. Local recurrence rates were similar for all risk and therapy groups. CONCLUSION: The two-fold risk of relapse and breast cancer death associated with high-risk medial breast tumors may be due to occult spread to internal mammary nodes (IMNs). Enhanced local control, such as with irradiation of the IMN chain, may be one way to reduce the excess risk. Ongoing randomized controlled trials may provide prospective answers to the question of the optimal volume of radiotherapy.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".