Abstract 3829A: Pantoprazole enhances the activity of chemotherapy for solid tumors by inhibition of autophagy.
Bibliographic record
Abstract
Abstract Purpose: Resistance to anti-tumour agents is a major cause of treatment failure in patients with cancer. Luciani have shown that PPIs can augment the effects of chemotherapy in vitro and in vivo, most likely by modifying the acid-base balance across the cell membrane and/or of intracellular organelles such as lysosomes and endososmes. Endosomes are important intermediaries of the process of autophagy, a survival mechanism for stressed cells and a possible target for anticancer therapy. Here we evaluated the effect of pantoprazole (PTP) to modify cytotoxic effects of the commonly-used anticancer drug docetaxel (DOC) for cultured cells and for human tumour xenografts, to modify the distribution of biomarkers of activity of docetaxel in relation to tumour blood vessels and inhibit autophagy. Methods: Endosomal pH of cells was measured by fluorescence spectroscopy following exposure to the endosomal probe Lysosensor. Levels of autophagy were evaluated by quantifying the level of the LC3B protein in Western blots. Human prostate cancer PC3 cells were transfected with a construct where LC3B was linked to red (RFP) and green (GFP) fluorescent protein (mRFP-GFP-LC3) such that cells with high levels of autophagy stained red while those with low levels stained green. Cytotoxicity of DOC +/-PTP was evaluated in vitro by a colony-forming assay for PC3 parental cells, and for cells transfected with shRNAs to inhibit autophagy. Growth delay of three human xenografts in nude mice was evaluated following treatment with single or multiple doses of DOC+/- PTP. The distribution of drug effects in tumour sections in relation to blood vessels was quantified (at early intervals of ∼30 minutes) by γH2AX, a marker of DNA damage, and (at 24 hours) by cleaved caspase 3, a marker of apoptosis. Results: PTP increased endosomal pH and inhibited autophagy in a dose and time dependent manner. PTP was not cytotoxic when used alone but increased the cytotoxicity of DOC for cultured PC3 cells; the effects of PTP were reduced against genetically-modified cells that have reduced ability to undergo autophagy. Pre-treatment with PTP increased markedly the growth delay due to DOC of three different xengografts, especially after three treatments at weekly intervals, with minimal effects on DOC toxicity. Cellular effects of DOC evaluated by γH2AX and by cleaved caspase 3 decreased with increasing distance from tumour blood vessels, but were enhanced substantially by pre-treatment with PTP. There is less cell proliferation and marked reduction in hypoxia in xenografts generated from autophagy-deficient PC3 cells compared to PC3 wild type xenografts. Conclusions: Pantoprazole increases the therapeutic effectiveness of docetaxel in vitro and in vivo, and a potential mechanism is inhibition of autophagy. Docetaxel is the primary chemotherapy for men with metastatic castration resistant prostate cancer, and we plan a phase II study of PTP + DOC in such patients. Citation Format: Qian Tan, Anthony Joshua, Jasdeep Saggar, Man Yu, Carol M Lee, Marianne Koritzinsky, Bradly R Wouters, Ian F Tannock. Pantoprazole enhances the activity of chemotherapy for solid tumors by inhibition of autophagy. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3829A. doi:10.1158/1538-7445.AM2013-3829A
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 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) | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".