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Abstract B51: Synergistic effects of αCTLA-4 and radiotherapy in the treatment of prostate cancer.

2013· article· en· W1976113809 on OpenAlexaff
Lisa D. Johnson, Wayne Beckham, Gordon H. Russell, Julian J. Lum, María T. Vlachaki

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMedicineProstate cancerBlockadeRadiation therapyOncologyProstateInternal medicineCancerAndrogen deprivation therapyTrampCastrationUrologyExternal beam radiotherapyReceptorHormone

Abstract

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Abstract Objective: External Beam Radiation Therapy (EBRT) in combination with androgen deprivation therapy (ADT) is the standard treatment for high risk, non-metastatic prostate cancer but frequently fails to provide durable responses. It causes tumor necrosis and tumor antigen presentation to the immune system with subsequent activation of T cells, a phenomenon that is inhibited by CTLA-4. As a result, CTLA-4 blockade therapy has the potential of enhancing effector T cell responses and therefore, improving treatment effectiveness and patient outcomes. CTLA-4 blockade therapy utilizing anti-CTLA4 antibodies has been studied in patients with metastatic, castrate resistant prostate cancer with promising results. However, the role of such therapy in combination with ADT and EBRT in high-risk, non-metastatic prostate cancer is currently unknown. In this study, the safety and efficacy of CTLA-4 blockade in combination with EBRT and ADT was investigated in a syngeneic murine prostate tumor model. Materials and Methods: TRAMP-C2 prostate tumors were established in wild-type mice for 1 month prior to surgical castration. Mice were stratified into 3 groups. Group 1: Two weeks after castration, tumors were radiated with 3 doses of 10 Gy over a period of 10 days. Group 2: Mice received 3 x 10 mg/kg doses of αCTLA-4 (9H10) daily, starting 2 or 10 days after castration. Group 3: Mice received αCTLA-4 (3 x 10 mg/kg) concurrently with radiation treatment. Peripheral blood was monitored weekly for changes in T cell subsets. Tumor growth, survival, toxicity and reactivity to a H2-Db epitope of SPAS-1 were also assessed. Results: There were no αCTLA-4 treatment-related morbidity or mortalities. αCTLA-4 started at 10 days after castration, or concurrently with radiation had a longer median survival (127 days and 122.5 days, respectively) compared to mice receiving αCTLA-4 earlier (72.5 days median survival). Mice that only received castration and radiation had a median survival time of 70 days. In addition, an increase in antigen experienced CD8+ T cells was detected in mice receiving αCTLA-4 closest to or during radiation therapy. Recall assays indicated that SPAS-1 specific T cells were only detectable in αCTLA-4 treated mice. Two weeks after radiation, there was also a 2-fold increase in ICOS+ CD4+ T cells in mice that had been treated with αCTLA-4 immediately prior to radiation as compared to those that had been treated immediately after castration. Conclusions: Administration of αCTLA-4 close to, or during EBRT in combination with ADT delays tumor growth and improves survival in the TRAMP-C2 prostate cancer tumor model in part through increases in antigen specific CD8+ T cells. Future studies will further elucidate the mechanism of action of this combined therapy and pave the way for the development of clinical trials in high risk prostate cancer patients. Citation Format: Lisa DS Johnson, Wayne A. Beckham, Gordon H. Russell, Julian J. Lum, Maria T. Vlachaki. Synergistic effects of αCTLA-4 and radiotherapy in the treatment of prostate cancer. [abstract]. In: Proceedings of the AACR Special Conference on Tumor Immunology: Multidisciplinary Science Driving Basic and Clinical Advances; Dec 2-5, 2012; Miami, FL. Philadelphia (PA): AACR; Cancer Res 2013;73(1 Suppl):Abstract nr B51.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.040
GPT teacher head0.397
Teacher spread0.357 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2013
Admission routes1
Has abstractyes

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