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Record W2003938077 · doi:10.1158/1538-7445.am2011-1825

Abstract 1825: Sustained aerobic exercise alone does not counteract the tumor-promoting effects of a westernized diet on prostate cancer progression <i>in vivo</i>

2011· article· en· W2003938077 on OpenAlexaff
Avi Vandersluis, Natalie A. Venier, Alex Kiss, Alexandra Colquhoun, Neil Fleshner, Laurence Klotz, Vasundara Venkateswaran

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsPrincess Margaret Cancer CentreHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsLNCaPProstate cancerEx vivoMedicineAerobic exerciseEndocrinologyInternal medicineProstateCancerTumor progressionIn vivoBiologyBiotechnology

Abstract

fetched live from OpenAlex

Abstract Introduction: The influence of lifestyle behaviors on prostate cancer (PCa) is well established. Our lab has previously reported that diets high in both fat and carbohydrates – the “Westernized” diet – promote PCa tumor growth in vivo. Numerous studies have also found an inverse relationship between exercise and PCa progression. However, the exact relationships between diet, exercise and PCa, as well as their underlying mechanisms, are unclear. Herein we aim to investigate the effect of sustained aerobic exercise on PCa tumor growth in animals fed a “Westernized” diet or a normal diet. Methods: Athymic nude mice (n=46) were inoculated subcutaneously with LNCaP cells. Mice were fed ad libitum with either a high-fat/high-carbohydrate diet (HFHC) or a standard normal diet (Normal), and randomized into exercising (Ex) and non-exercising groups (No-Ex). Exercise was undertaken 3 days per week (3 × 15 mins; 2-min breaks between cycles; 2.0-7.0 m/min) for 8 weeks, using a forced exercise wheel. Body weights, tumor volumes, and food consumption were recorded tri-weekly. Comparisons between groups over time were performed using RANOVA Type 3 Tests of Fixed Effects. Results: There were no significant differences in body weight between the groups over time. The HFHC-Ex group (n=10) had the highest rate of tumor growth compared to all other groups (p<=0.0007). No significant differences were observed between the rate of tumor growth of the HFHC-No Ex group (n=11) and the Normal-No Ex group (n=12) or between the Normal-No Ex group and the Normal-Ex group (n=10). However, the rate of tumor growth of the Normal-Ex group was reduced compared to the HFHC-No Ex group (p<=0.0008). Food consumption analysis revealed significant differences (p<=0.012) in energy consumption (kcal) between each of the groups over time. Mice in HFHC-Ex group consumed the most energy compared to all other groups followed by HFHC-No Ex>Normal-Ex>Normal-No Ex groups. Conclusions: The results indicate that exercise stimulated an increase in food consumption. In mice fed a tumor-promoting “Westernized diet,” this enhanced the rate of tumor growth. However, in mice placed on a normal diet, this increase in energy consumption did not correspond with increased tumor growth over time, emphasizing the importance of both exercise and healthy diet in the progression of PCa. Further studies to examine the relationship between diet and exercise with respect to PCa progression are currently underway. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 1825. doi:10.1158/1538-7445.AM2011-1825

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 score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.040
GPT teacher head0.379
Teacher spread0.339 · 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
Published2011
Admission routes1
Has abstractyes

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