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Record W4404249561 · doi:10.1002/pros.24820

pSTAT3 Expression is Increased in Advanced Prostate Cancer in Post‐Initiation of Androgen Deprivation Therapy

2024· article· en· W4404249561 on OpenAlexafffund
Piotr Białas, Tamae Kobayashi, Rebecka Hellsten, Agnieszka Krzyzanowska, Margareta Persson, Felicia Marginean, Dominique Trudel, Isla P. Garraway, Bruce J. Trock, Pekka Taimen, Fred Saad, Tuomas Mirtti, Beatrice S. Knudsen, Angelo M. De Marzo, Anders Bjartell

Bibliographic record

VenueThe Prostate · 2024
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
FundersDOD Prostate Cancer Research ProgramNational Cancer InstituteNational Institutes of HealthVetenskapsrådetU.S. Department of DefenseKungliga Fysiografiska Sällskapet i LundJohns Hopkins UniversityLunds UniversitetSwedish Cancer FoundationFonds de Recherche du Québec - SantéSidney Kimmel Comprehensive Cancer CenterCancerfondenMovember FoundationSkånes universitetssjukhus
KeywordsAndrogen deprivation therapyProstate cancerMedicineProstateCancerAndrogenInternal medicineOncologyEndocrinologyCancer researchHormone

Abstract

fetched live from OpenAlex

ABSTRACT Background The transcription factor Signal Transducer and Activator of Transcription 3 (STAT3) plays a role in carcinogenesis and is involved in processes, such as proliferation, differentiation, drug resistance and immunosuppression. STAT3 can be activated by phosphorylation of tyrosine at position 705 (pSTAT3 Tyr705 ) or serine at 727 (pSTAT3 Ser727 ). High expression levels of pSTAT3 are implicated in advanced stages of prostate cancer (PCa) and are known to interact with the androgen receptor signaling pathway. However, not much is known about how androgen deprivation therapy (ADT) in advanced disease affects pSTAT3 expression. The aim of this study was to determine the influence of ADT on pSTAT3 expression in PCa tissue. Methods The study cohort came from a PCa tissue microarray resource containing prostate specimens from patients before and post‐initiation of ADT. Tissue samples from 111 patients were immunostained for pSTAT3 Tyr705 and pSTAT3 Ser727 . H‐score was used to evaluate the intensity and the percentage of pSTAT3 expression in malignant epithelial and stromal compartments. Univariate and multivariable Cox regression analyses were used to assess pSTAT3 Tyr705 and pSTAT3 Ser727 as biomarkers of oncological outcome in patients undergoing ADT. Results Post‐ADT PCa samples demonstrated increased nuclear and cytoplasmic levels of pSTAT3 Ser727 in the stroma compared to pre‐ADT samples, whereas pSTAT3 Tyr705 expression was increased significantly in both stromal and malignant epithelial compartments except for stromal cytoplasm. High cytoplasmic pSTAT3 Ser727 in stromal compartments correlated with reduced overall survival, shorter time to castration‐resistant PCa development, and decreased metastasis‐free survival. An increase in nuclear and cytoplasmic pSTAT3 Ser727 expression within the stromal compartment of post‐ADT samples corresponded to a shorter time to CRPC development, which was not observed for pSTAT3 Tyr705 . Multivariable survival analysis using Cox's regression identified that high cytoplasmic pSTAT3 Ser727 expression in the stroma of post‐ADT samples and pT3 or pT4‐stage were associated with worse overall survival and 5‐year metastasis‐free survival (MFS). Conclusions This study presents novel insights into the impact of ADT on the expression levels of pSTAT3 Tyr705 and pSTAT3 Ser727 in PCa. Cytoplasmic pSTAT3 Ser727 status of cancer‐associated stromal cells in post‐ADT samples may serve as an independent prognostic marker for OS and 5‐year MFS, identifying prostate cancer patients prone to developing resistance to ADT.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.342
Teacher spread0.319 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes2
Has abstractyes

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