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Record W2318220596 · doi:10.1158/1538-7445.am2012-1449

Abstract 1449: Spicing up radiation treatment for prostate cancer

2012· article· en· W2318220596 on OpenAlexaff
Natalie A. Venier, Alexandra Colquhoun, Andrew Loblaw, Neil Fleshner, Laurence Klotz, Vasundara Venkateswaran

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldMedicine
TopicSirtuins and Resveratrol in Medicine
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCapsaicinMedicineLNCaPProstate cancerCancerCarcinogenIn vivoIonizing radiationApoptosisPharmacologyIn vitroAdverse effectCancer researchToxicityRadiation therapyInternal medicineReceptorIrradiationChemistryBiologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Introduction and Objective: Radio-sensitizing agents sensitize cells to the lethal effects of ionizing radiation (IR). This permits use of lower doses of radiation to achieve equivalent cancer control thereby minimizing adverse effects to normal tissues. Given their lack of toxicity compounds occurring naturally in the diet make ideal potential radio-sensitizing agents. Capsaicin is the active compound chilli peppers. Traditionally capsaicin is used to treat chronic pain syndromes; however, recently evidence using in vitro prostate cancer (PCa) models describes its anti-carcinogenic potential. In our preliminary studies we have demonstrated the radio-sensitizing capacity of in PCa cells in vitro. Cells treated with capsaicin and/or IR to have increased expression of pro-apoptotic tumour-suppressor proteins p21 and p27 and reduced androgen-receptor. The objective of the present study is to assess the radio-sensitizing capacity in an in vivo model. Methods: Athymic nude mice were inoculated subcutaneously with human PCa (LNCaP) cells. Once xenografts reach 100mm3 forty animals will be randomized into 4 groups (15 /group); control (no treatment), capsaicin alone, ionizing radiation (IR) alone and capsaicin and IR. Treatments were administered over a two-week time period. Capsaicin (5 mg/kg/d) or vehicle was administered 3/week by gavage. RT will be delivered to animals in sterile cages as one fraction (6 Gray). Control animals were mock irradiated. Tumours were measured thrice weekly and volumes were calculated. Tumours were fixed and stained for pathological analyses and immunohistochemical evaluation. Results: There were no differences in food consumption or body weight of mice between groups. Two mice experienced mild to moderate inflammation of the stomach. No other toxicities were observed. Mice treated with capsaicin or IR alone had a significant reduction in tumour growth overtime (p < 0.001). Mice treated with capsaicin and IR capsaicin had a reduction in the tumour volume greater than either capsaicin alone (p<0.001) or radiation alone.(p<0.03) We are currently investigating mechanism. Conclusion: These studies confirm the radio-sensitizing capacity of capsaicin in PCa xenograft model cells. Ongoing studies using are further delineating the mechanism of interaction of these treatment modalities. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 1449. doi:1538-7445.AM2012-1449

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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)0.0150.002

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.

Opus teacher head0.155
GPT teacher head0.500
Teacher spread0.345 · 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 designObservational
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

Citations2
Published2012
Admission routes1
Has abstractyes

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