Abstract 3960: Tumor cell drug resistance induced by the programmed death ligand 1 (PD-L1) immune checkpoint is associated with autophagy
Bibliographic record
Abstract
Abstract The interaction between the Programmed Death Ligand 1 (PD-L1) immune checkpoint on the tumor cell surface with the Programmed Death-1 (PD-1) receptor on cytotoxic T lymphocytes (CTLs) leads to CTL inactivation, thereby promoting tumor cell escape from adaptive immunity. We previously demonstrated that signaling by PD-L1/PD-1 is bidirectional and leads to activation of oncogenic pathways as well as drug resistance in tumor cells. We also have preliminary evidence that Immunity Related GTPase M, an important mediator of autophagy, is up-regulated by PD-1/PD-L1 reverse signaling. Autophagy is a well-established mechanism of drug resistance in cancer cells. This led us to hypothesize that PD-1/PD-L1 signaling induces drug resistance in tumor cells by up-regulating autophagy. The MEK/ERK and the PI3K/Akt signaling pathways are known to increase and decrease autophagy, respectively. Breast cancer cells exposed to rPD-1 showed a time dependent increase in extracellular signal–regulated kinase (ERK) activation and a decrease in protein kinase B (Akt) activation. Conversion of microtubule-associated protein light chain 3 (LC3)-I to LC3-II is a requirement for autophagosome formation and is a robust marker of autophagy. Exposure of human breast cancer cells to recombinant PD-1 (rPD-1) showed a time-dependent increase in LC-3 II. We are currently conducting additional studies to confirm that the activation of PD-L1 signaling in tumor cells up-regulates autophagy. These results provide evidence that PD-1/PD-L1 reverse signaling activates autophagy as a potential mechanism of cancer cell chemoresistance. (Supported by a grant from the Canadian Institutes of Health Research.) Citation Format: Lori M. Minassian, Shannyn K. MacDonald-Goodfellow, Peter Truesdell, Daniel Sanwalka, Andrew W. Craig, Madhuri Koti, D Robert Siemens, Charles H. Graham. Tumor cell drug resistance induced by the programmed death ligand 1 (PD-L1) immune checkpoint is associated with autophagy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3960. doi:10.1158/1538-7445.AM2017-3960
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".