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Abstract B119: Triptolide abrogates expression of the Met and epidermal growth factor receptors in pancreatic cancer

2015· article· en· W862841228 on OpenAlexaff
Veena Sangwan, Kelsey Jensen, Vikas Dudeja, Rohit Chugh, Sulagna Banerjee, Selwyn M. Vickers, Morag Park, Ashok K. Saluja

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldMedicine
TopicNatural Compounds in Disease Treatment
Canadian institutionsMcGill University
Fundersnot available
KeywordsTriptolidePancreatic cancerReceptor tyrosine kinaseCancer researchCancerReceptorEpidermal growth factorTyrosine kinaseBiologyIn vivoEpidermal growth factor receptorGrowth factor receptorMedicineInternal medicineApoptosis

Abstract

fetched live from OpenAlex

Abstract Background: Minnelide, a pro-drug of the Chinese herb triptolide, is currently in Phase I clinical trials against pancreatic cancer. Preclinical studies with Minnelide have demonstrated its efficacy in preventing tumor formation and causing tumor regression in multiple animal models of pancreatic cancer. However, its mechanism of action remains unclear. Pancreatic cancer cells overexpress several receptor tyrosine kinases including the Met and EGF receptors which drive proliferation, migration and invasion of these cells. Here, using human pancreatic cancer cells as well as the KRasG12D; Trp53R172H; Pdx-1 Cre (KPC) animal model, we show the ability of triptolide, or its water soluble pro-drug, Minnelide, to down-regulate the Met and EGF receptors, both in vitro and in vivo. Methods:Pancreatic cancer cells were treated with triptolide for varying times (0-24h) and receptor levels evaluated using western blotting or confocal microscopy. The KPC mouse model recapitulates human disease progression and is therefore the most relevant model for chemotherapeutic drug testing. KPC animals, which spontaneously form pancreatic tumors, were treated with Minnelide for one week and tumors harvested. mRNA expression was analyzed using real time PCR and protein expression assessed by immunohistochemistry. Results: Treatment with triptolide causes an increase in tyrosine phosphorylation at earlier time points (0.5 - 6h), accompanied by an increase in levels of the Met and EGF receptor tyrosine kinases. However, longer treatments (12-24h) resulted in marked decrease in levels of both Met and EGF receptors. Further investigation using tumors from KPC animals treated with Minnelide show a decrease in gene expression of both the Met and EGF receptors compared with tumors from saline injected animals. Furthermore, immunohistochemical analysis of formalin fixed paraffin embedded sections from these tumors show a decrease in levels of the Met receptor. Conclusion: Treatment of cells or KPC pancreatic tumor bearing animals with triptolide or Minnelide leads to decreased expression of the Met and EGF receptor tyrosine kinases. These results lend further insight into the mechanism of action of Minnelide, a pro-drug currently in clinical trials against pancreatic cancer. Citation Format: Veena Sangwan, Kelsey M. Jensen, Vikas Dudeja, Rohit Chugh, Sulagna Banerjee, Selwyn M. Vickers, Morag Park, Ashok K. Saluja. Triptolide abrogates expression of the Met and epidermal growth factor receptors in pancreatic cancer. [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer: Innovations in Research and Treatment; May 18-21, 2014; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2015;75(13 Suppl):Abstract nr B119.

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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.121
GPT teacher head0.433
Teacher spread0.312 · 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".

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Citations1
Published2015
Admission routes1
Has abstractyes

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