The pattern of metastatic spread among breast cancer sub-types.
Bibliographic record
Abstract
Abstract Abstract #2025 Background: Although breast cancer subtypes are associated with differing relapse risks, the patterns of metastatic spread are less well defined, particularly for more than the first site of metastasis. We describe the sites of all diagnosed metastases among breast cancer subtypes in a large series of women diagnosed with breast cancer to further define patterns of spread. Methods: Subjects with early stage breast cancer referred to the British Columbia Cancer Agency from 1986 to 1992 were included. Archival paraffin tissue blocks were used to construct a tissue microarray. Breast cancer subtypes were defined as Luminal A (ER/PR+ and HER2- and Ki67 <19%), Luminal B (ER/PR+, and HER2- and Ki67 >19%), LuminalHer2 (Her2+ and ER/PR+), HER2 (HER2+ and ER- and PR-), and Basal (HER2-ER-PR- and CK 5/6+and/orEGFR+). All documented sites of distant metastasis were abstracted by chart review according to predefined categories. Results: 3526 eligible women were classified according to Luminal A (2109), Luminal B (514), LuminalHER2 (252), HER2 (276) and Basal (375) and 30%,47%, 48%, 50% and 42% in each subgroup were diagnosed with distant metastasis. Median Survival with metastatic disease was 2.2, 1.6 and 1.3 years in Luminal A, B and LuminalHER2 groups and 0.7 and 0.5 years in the HER2 and Basal types, respectively. Bone was the predominant site of metastasis for luminal groups A (76%), B (73%) and LuminalHER2 (70%). The distribution was more heterogeneous in HER and Basal groups. High rates of brain metastasis were observed in the HER2 (30%) and Basal (27%) and less frequently in the LuminalHER2 (17%) and other groups (p <0001). Conclusion: Molecular breast cancer subtypes are associated with specific distributions of metastasis which may lead to specific prophylactic therapies to modify this risk. New systemic therapies, including trastuzumab, may impact these patterns and survival after recurrence. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 2025.
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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) | 0.003 | 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".