MP72-13 EFFECT OF A KETOGENIC DIET ON THE CLEAR CELL RENAL CELL CARCINOMA CELL GROWTH
Bibliographic record
Abstract
You have accessJournal of UrologyKidney Cancer: Basic Research & Pathophysiology II1 Apr 2018MP72-13 EFFECT OF A KETOGENIC DIET ON THE CLEAR CELL RENAL CELL CARCINOMA CELL GROWTH Maxime Benoit, Edouard Fortier, Magalie Barth, Vincent Procaccio, Jennifer Bourreau, Daniel Henrion, and Pierre Bigot Maxime BenoitMaxime Benoit More articles by this author , Edouard FortierEdouard Fortier More articles by this author , Magalie BarthMagalie Barth More articles by this author , Vincent ProcaccioVincent Procaccio More articles by this author , Jennifer BourreauJennifer Bourreau More articles by this author , Daniel HenrionDaniel Henrion More articles by this author , and Pierre BigotPierre Bigot More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2018.02.2297AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Clear cell renal cell carcinoma (ccRCC) is characterized by a metabolic feature : an energy production by aerobic glycolysis at the expense of oxydative phosphorylation [1]. Ketogneic diet (KD), which consists of high fat and low carbohydrate intakes, could bring required energy substrates to healthy cells while depriving tumor cells of glucose. METHODS We study the effect of ketogenic diet on a ccRCC cell line : ACHN. Fifteen CD-1 nude mice received a sub-cutaneous xenograft of ACHN cells, and were then split into 3 feeding groups and fed either a standard diet (SD group, n=5), a 2:1 ketogneic diet (KD 2:1 group, n=5) or a 4:1 ketogenic diet (KD 4:1 group, n=5) ad libitum. Tumor growth, blood glucose and blood ketone levels were measured weekly for 8 weeks. RESULTS Ketosis was quickly reached. The mean blood ketone level was 0,86 mmol/L in SD group, 1,07 mmol/L in KD 2:1 group and 1,21 mmol/L in KD 4:1 group (p<0,01) (Fig.1). The mean 8-week tumor growth was 351% in SD group, 65% in KD 2:1 group and 66% in KD 4:1 group (p=0,01) (Fig.2). There was no difference in weight increase between the 3 groups. CONCLUSIONS This study showed that ketogenic diet can slow ccRCC tumor growth in a mouse model, without any difference of result between 2:1 or 4:1 KD. These outcomes have to be verified in other cell lines, and signalling pathways need to be understood by transcriptomic and metabolomic analyses, before starting clinical trials. © 2018FiguresReferencesRelatedDetails Volume 199Issue 4SApril 2018Page: e957 Advertisement Copyright & Permissions© 2018MetricsAuthor Information Maxime Benoit More articles by this author Edouard Fortier More articles by this author Magalie Barth More articles by this author Vincent Procaccio More articles by this author Jennifer Bourreau More articles by this author Daniel Henrion More articles by this author Pierre Bigot More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".