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Record W1795246178 · doi:10.1586/14737140.2015.1064769

The role of clusterin in prostate cancer: treatment resistance and potential as a therapeutic target

2015· review· en· W1795246178 on OpenAlex
Lateef A Muhammad, Fred Saad

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExpert Review of Anticancer Therapy · 2015
Typereview
Languageen
FieldMedicine
TopicClusterin in disease pathology
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsClusterinMedicineProstate cancerRadiation therapyCancerOncologyProstateChemotherapyCancer researchInternal medicineApoptosisBiology

Abstract

fetched live from OpenAlex

Resistance to cancer treatment can arise through multiple mechanisms and negatively impacts on progression rates and survival times. New therapies targeting pathways underlying resistance would improve treatment outcomes and be of particular value in the treatment of prostate cancer, many of whom develop tumors refractory to radiation, hormonal therapy and chemotherapy regimens. The improved understanding of metastatic castration resistant prostate cancer progression mechanisms has broadened the therapeutic window by unveiling multiple molecular targets. Several approaches are being investigated to overcome resistance in prostate cancer, including the use of novel taxanes and tubulin inhibitors, and the inhibition of cell survival pathways. This review focuses on clusterin, a small heat-shock-like protein that is overexpressed in many types of solid tumors; we summarize the preclinical and clinical evidence supporting the rationale for targeting clusterin as a means to resensitize prostate tumors to radiation and chemotherapy agents.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.972
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.408
Teacher spread0.375 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it