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Record W2045735832 · doi:10.1158/1538-7445.am2014-239

Abstract 239: Capsaicin may reduce the metastatic burden in the transgenic adenocarcioma of the mouse prostate (TRAMP) model

2014· article· en· W2045735832 on OpenAlexaff
Natalie A. Venier, Toshihiro Yamamoto, Linda Sugar, Neil Fleshner, Laurence Klotz, Vasundara Venkateswaran

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldChemistry
TopicCoconut Research and Applications
Canadian institutionsUniversity Health NetworkUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsTrampCapsaicinMedicineProstateProstate cancerAdenocarcinomaPathologySalineInternal medicineCancerGastroenterology

Abstract

fetched live from OpenAlex

Abstract Introduction and Objective: A large body of evidence supports the role of dietary factors in prostate cancer development and progression. We are interested in investigating the chemopreventive potential of capsaicin, the active compound in chilli peppers that is traditionally used topically to treat various pain-related syndromes. Recently capsaicin has been demonstrated to have anti-carcinogenic properties in vitro through a number of different mechanisms. In our study we aim to study the chemopreventive properties of capsaicin using the transgenic adenocarcinoma of the mouse prostate (TRAMP) model, a murine model that closely resembles the progression of human disease. Methodology: Thirty-five six-week old TRAMP x C57Bk mice were randomized into two groups: control or capsaicin. Mice received either capsaicin (5 mg/kg body weight) or vehicle (saline) three times a week by oral gavage until the age of 30 weeks. Body weight was measured thrice weekly. All mice were sacrificed at 30 weeks. Body weight, genito-urinary (GU) weight, tumour burden were assessed. Prostate, seminal vesicles, lung, liver, esophagus, lymph nodes and pancreas were obtained for histological analysis. Serum was collected at the termination of the study for analysis of serum capsaicin concentration. Prostate tumours were analyzed by immunohistochemical analysis using proliferative and mechanistic markers. All tumours were scored by an on-site pathologist according to the histopathic grading scale described by Hurwitz AA, et al. Results: Interim results revealed that higher percentage of high-grade cancer in control group (n = 18). The presence of PIN-like pre-cancerous lesions in only the treatment group and not the control group (n = 18). The capsaicin treated mice also demonstrated a reduced proportion of metastatic cancers compared to the control group. There were no significant changes in the GU wet weight between groups (n = 35). Immunohistochemical analysis of the prostate tumour is ongoing. Capsaicin was well tolerated, as there was no pathological liver or esophagus or gastrointestinal toxicities or difference in body weight between groups. Further results are currently under investigation. Conclusion: Interim results suggest that oral administration of capsaicin is well tolerated and may reduce the metastatic burden in the TRAMP model. Ongoing studies are currently underway to delineate the mechanism of action. Citation Format: Natalie A. Venier, Toshihiro Yamamoto, Linda Sugar, Neil Fleshner, Laurence Klotz, Vasundara Venkateswaran. Capsaicin may reduce the metastatic burden in the transgenic adenocarcioma of the mouse prostate (TRAMP) model. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 239. doi:10.1158/1538-7445.AM2014-239

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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.101
GPT teacher head0.408
Teacher spread0.307 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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