Bibliographic record
Abstract
Paul Torena & Amina Zoubeidi*ba The Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, BC, V6T 1Z3, Canadab The Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada. * Author for correspondenceEvaluation of: Cen B, Mahajan S, Wang W, Kraft AS. Elevation of receptor tyrosine kinases by small molecule AKT inhibitors in prostate cancer is mediated by Pim-1. Cancer Res. 73(11), 3402–3411 (2013).The PI3K/Akt pathway is a key pathway in many advanced and aggressive cancers. Targeted inhibition of this pathway is currently an actively pursued therapeutic strategy. However, blockade of this pathway with inhibitors has been challenging, with up-regulation of reciprocal feedback pathways contributing to treatment failures. The article evaluated presents mechanistic data on how Pim is a critical mediator of the receptor tyrosine elevation induced by Akt inhibition. Pim-1 kinases are overexpressed in resistant and aggressive cancers. Following Akt inhibition, Pim- regulates receptor tyrosine kinases up-regulation, at least in part, through a cap-independent translation. This research leads the way for further evaluation of co-targeting strategies using Pim-1 inhibitors in combination with PI3K/Akt pathway inhibitors.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".