p-mTOR expression is associated with better prognosis in luminal breast carcinoma
Bibliographic record
Abstract
AIMS: Despite considerable interest in the PI3K/AKT/mTOR pathway in breast carcinomas (BC), published data reports contradictory results regarding the association of phosphorylated mammalian target of Rapamycin (p-mTOR) expression with clinico-pathological features and prognosis in BC. Here, we evaluate the main clinico-pathological associations with p-mTOR expression in BC, with focus on the different molecular subtypes. METHODS: In this retrospective study, 331 BC patients were included in final analysis. Outcome measures included disease-free survival (DFS) and overall survival (OS) times. Baseline data and outcome measures were compared between immunohistochemical p-mTOR expressing and non-expressing BCs. Subgroup analysis was performed to assess the effect of p-mTOR expression in the outcome for each BC molecular subtype. RESULTS: 43.8% of the tumours were positive for p-mTOR, with a significant correlation between p-mTOR expression with smaller (<2 cm) (p=0.021) and lower-grade tumours (p<0.001). Expression of p-mTOR was also associated with longer DFS (HR of 0.32, p<0.001) and OS (HR of 0.20, p<0.001). In a multivariable analysis, the HR remained significant with minimal change (HR=0.26, p=0.002 for OS; HR=0.40, p=0.002 for DFS). In subgroup analysis, luminal p-mTOR-expressing tumours demonstrated longer DFS and OS (HR 0.33, p=0.003; HR 0.20, p=0.003, respectively) independently of size, grade, lymph node status and Her-2 overexpression. CONCLUSIONS: p-mTOR expression is associated with smaller, lower-grade and with luminal BC. In multivariable analysis, p-mTOR expression was associated with longer DFS and OS, independently of the size, grade and lymph node status, especially in luminal BCs.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".