α-basic-crystallin expression in basal-like breast cancer and its association with brain metastasis
Bibliographic record
Abstract
1025 Background: Basal-like breast cancers are high grade tumors with poor prognosis, having propensity for brain and lung metastasis (Perou et al. Nature 406:747–52, 2000, Cheang et al. Clin Cancer Res 14:1368–76, 2008, Luck et al. Clin Oncol (R Coll Radiol) 20:40–5, 2008). α-basic-crystallin (αBC), a small heat shock protein with anti-apoptotic and oncogenic activity, is expressed in about half of basal-like breast cancers but only 6% of other types (Moyano et al. J Clin Invest 116:261–70, 2006). Here we investigate the association of αBC with sites of distant metastasis in a large cohort of breast cancer patients. Methods: Our cohort consists of 4046 early invasive breast cancers referred to the British Columbia Cancer Agency from 1986 to 1992. Archival paraffin tissue blocks were used to construct tissue microarrays. Breast cancer subtypes were defined using a surrogate of six immunohistochemical markers: ER, PR, HER2, Ki-67, epidermal growth factor receptor and cytokeratin 5/6. αBC immunostaining was scored by pre-established, published criteria. All documented sites of distant metastasis were abstracted by chart review according to predefined categories. The null hypothesis was tested using chi-square and Fisher's Exact tests; all tests were two-sided. Results: Among 3,248 cases with interpretable αBC data, 11% were αBC +. Among patients who developed distant metastatic disease, the 10-yr BCSS survival in αBC+ and - tumors was 12% and 29%. Sites of metastatic disease included: brain (15%), lung (35%), liver (35%) and bone (65%). Brain metastasis was significantly more common among αBC positive tumors (Fisher's Exact test p<10e-8). Basal-like tumors with brain metastasis commonly co-expressed αBC (Chi-square p=0.006). Conclusion: αBC is significantly associated with brain metastasis, particularly among basal breast cancers. These findings suggested that αBC may be involved in tumor cell metastasis and may allow early identification of a subset of patients at particularly high risk of brain metastasis. [Table: see text] No significant financial relationships to disclose.
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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 | 0.001 | 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".