The promise of heat shock protein inhibitors in the treatment of castration resistant prostate cancer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE OF REVIEW: To present the recent advances in novel agents that target heat shock proteins (Hsps) to treat or delay the development of castration resistant prostate cancer (CRPC). RECENT FINDINGS: Multiple preclinical studies have shown that silencing Hsp27, Hsp90, or clusterin sensitizes prostate cancer cells to modern chemotherapy and radiation treatments; and overexpression of these chaperones confers resistance to these therapies. Antisense oligonucleotides targeting Hsp27 and clusterin have shown good biological activity in human phase II trials and phase III studies are ongoing. Despite promising preclinical efficacy, a number of phase I/II human trials with various Hsp90 inhibitors have been disappointing with negligible anticancer activity and dose-limiting toxicity profiles. Newer Hsp90 inhibitors with better toxicity profiles, and inhibitors that target Hsp90 cofactors, such as FKBP52, are currently being investigated in human studies. SUMMARY: Many Hsp chaperone client proteins are key components of alternative growth factor pathways upregulated in CRPC and are involved in key resistance pathways to current chemotherapy and radiotherapy regimes. New treatments that inhibit Hsps are attractive anticancer strategies as they have the ability to simultaneously target multiple pathways involved in CRPC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 it