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Record W2314400253 · doi:10.1158/1538-7445.am2012-4119

Abstract 4119: High-throughput proteomics reveals that enzymes of the ketogenic pathway are upregulated during prostate cancer progression

2012· article· en· W2314400253 on OpenAlexaff
Punit Saraon, Daniela Creţu, Keith Jarvi, Eleftherios P. Diamandis

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsLNCaPProstate cancerStable isotope labeling by amino acids in cell cultureCancer researchDU145AndrogenAndrogen deprivation therapyCancerBiologyClonogenic assayCancer cellInternal medicineEndocrinologyProteomicsMedicineCellBiochemistryHormone

Abstract

fetched live from OpenAlex

Abstract Prostate cancer is the most common malignancy and the second leading cause of cancer related deaths in men. One common treatment is androgen-deprivation therapy, which reduces symptoms in most patients. However, over time, patients develop tumours that are androgen-independent and ultimately fatal. The mechanisms that cause this transition remain largely unknown, and as a result, there are no effective treatments against androgen-independent prostate cancer. As a model platform, we used the LNCaP cell line, and its androgen independent derivative, LNCaP-SF. By using stable isotope labelling with amino acids in cell culture (SILAC) coupled to mass spectrometry, we assessed the differential global protein expression between the two cell lines. Our proteomic analysis resulted in the quantification of 3355 proteins, in total. Bioinformatic prioritization resulted in 42 up-regulated and 46 down-regulated proteins in LNCaP-SF cells, compared to LNCaP cells. Our top candidate was HMGCS2, an enzyme involved in ketogenesis, was found to be 9-fold elevated in LNCaP-SF cells, based on peptide ratios. After analyzing the remaining enzymes of this pathway (ACAT1, BDH1, HMGCL, OXCT1), we observed increased expression of these proteins in the LNCaP-SF cells. This was further verified using western blotting, indicating the importance of this pathway during the progression of prostate cancer to androgen-independence. To determine whether these enzymes are up-regulated in clinical samples, we performed qPCR analysis on human prostate cancer tissues, from which we observed significantly increased transcript levels of HMGCS2 (p<0.05), OXCT1 (P<0.05), ACAT1 (p<0.001), and BDH1 (p<0.001). In addition, the protein expression of all five ketogenic pathway enzymes was elevated in high grade prostate cancer (Gleason Grade >8) based on immunohistochemistry analysis. ACAT1 displayed the most prominent protein expression patterns, as it exhibited very minimal staining in normal samples, moderate levels in low grade cancer, and high expression during high grade disease. Further assessment of ACAT1 expression demonstrated significantly greater ACAT1 expression in bone metastatic lesions (P<0.001). Altogether, our results indicate that enzymes belonging to the ketogenic pathway become up-regulated during high grade prostate cancer, and could serve as potential biomarkers for diagnosis of high grade disease. 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 4119. doi:1538-7445.AM2012-4119

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.159
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

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

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 head0.041
GPT teacher head0.354
Teacher spread0.313 · 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 teacher head, 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

Citations19
Published2012
Admission routes1
Has abstractyes

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