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Record W1560006484 · doi:10.1158/1538-7445.am2014-3773

Abstract 3773: Identification of ALDH1A3 as a driver of resistance to both low-dose metronomic and conventional cyclophosphamide chemotherapy in prostate cancer

2014· article· en· W1560006484 on OpenAlexaff
Van C. Hoang, Annabelle Chow, Amy Wong, Lavarnan Sivanathan, Urban Emmenegger

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsProstate cancerDocetaxelCancer researchCancerLNCaPBiologyCabazitaxelMedicinePharmacologyOncologyInternal medicineAndrogen deprivation therapy

Abstract

fetched live from OpenAlex

Abstract Prostate cancer (PCa) is the most common cancer in North American males. Conventional, maximum tolerated dose (MTD) chemotherapy with cyclophosphamide (CPA) has been used in the past for PCa treatment, but has been replaced by docetaxel. However, renewed interest in CPA is emerging given its frequent use in low-dose metronomic (LDM) chemotherapy regimens known for their antiangiogenic properties. While therapeutic resistance limits the clinical utility of both LDM and MTD CPA, such resistance appears to occur through at least partially distinct mechanisms. To investigate the molecular changes contributing to resistance formation, we have generated LDM and MTD CPA resistant PC-3 human prostate cancer cell variants (LCR and MCR, respectively), and corresponding control variants (NS), through in vivo passaging in mice. Using next-generation sequencing and gene expression analysis, we observed 453 differentially regulated genes in LCR vs NS, and 1141 genes in MCR vs NS. An intersecting set of 158 genes found to be differentially expressed in both resistant tumor cell lines was further characterized. The genes most up-regulated (including ALDH1A3, MAGEA2 and ELOVL2) and down-regulated (comprising FN1, IL8 and IGFBP3) were chosen for validation by qRT-PCR studies. We also undertook pathway analysis using the DAVID database and the Reactome FI Cytoscape Plugin. Collectively, our studies revealed that glycolysis/gluconeogenesis, biosynthesis of unsaturated fatty acids and activated drug metabolism may contribute to resistance to both LDM and MTD CPA. In addition, numerous chemokine signaling pathway-related genes were found to be downregulated. Current studies are focusing on the role of ALDH1A3 in LDM and MTD CPA resistance. ALDH1A3 is amongst the most differentially regulated genes found in our analysis, and it has been associated with chemotherapy resistance, ‘stemness’ and aggressive tumor behaviour. Despite different mechanisms of action, there are overlapping mechanisms of resistance to LDM and MTD CPA chemotherapy. If our studies confirm an essential role of ALDH13A in such resistance, this could be rapidly clinically translated by repurposing approved pharmacological ALDH inhibitors as anticancer agents. Citation Format: Van C. Hoang, Annabelle Chow, Amy Wong, Lavarnan Sivanathan, Urban Emmenegger. Identification of ALDH1A3 as a driver of resistance to both low-dose metronomic and conventional cyclophosphamide chemotherapy in prostate cancer. [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 3773. doi:10.1158/1538-7445.AM2014-3773

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.340
Teacher spread0.326 · 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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