Abstract 3718: Oncolytic reovirus synergizes with bortezomib and dexamethasone in overcoming therapy resistance of multiple myeloma
Bibliographic record
Abstract
Abstract Introduction: Multiple myeloma (MM) is an incurable hematologic malignancy that accounts for 10% of hematopoietic neoplasms. Recently we have demonstrated the potential of reovirus as novel therapeutic agent for a majority of MM cell lines and ex vivo patient tumor. However, therapy resistant disease still remains a problem. In the present study we demonstrate that reovirus acts synergistically with bortezomib and/or dexamethasone in oncolysis of therapy resistant MM cell lines. Methods: The MM cell lines RPMI 8226, U266, NCIH929, U266, INA-6, KMS11 and OPM2 were incubated with live (LV) or UV-inactivated (DV) reovirus at a multiplicity of infection (MOI) of 40 for 24, 48, and 72 hours respectively and cell death was assessed via the WST assay. Reovirus resistant OPM2 and moderately sensitive KMS-11 that are also resistant to bortezomib and dexamethasone were selected for combination therapy and treated with reovirus and drugs at various concentrations to evaluate Effective Dose 50% (ED50) values. ED50 values for each drug and reovirus was combined in various concentrations but with consistent ratios and percent toxicity was determined. Using Calcusyn software, combination index (CI) values were generated and synergism determined as per Chou-Talalay method. Results: Highly synergistic cytotoxicity was observed with reovirus and bortezomib in both reovirus and drug resistant cell lines OPM2 and KMS-11 at all drug combination ratios. Dexamethasone and reovirus treatment induced synergy in OPM2 cells. Conclusion: Not all MM cell lines are amenable to reovirus mediated cell death. This has important implications for the future use of reovirus as a therapeutic agent for cancer as phase II clinical trials for MM are underway. This study highlights the importance of preclinical studies in evaluating effective reovirus drug combinations for future use that could be extrapolated to a clinical setting. Currently we are evaluating the effects of these drug combinations under in vivo conditions in a mouse model that represents the clinical course of MM. The underlying mechanism of reovirus and drug induced cytotoxicity is also being investigated at present. Understanding the signalling pathways of resistant tumor will help develop a more personalized approach of reovirus therapy for cancer patients in the future. 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 3718. doi:1538-7445.AM2012-3718
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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) | 0.001 | 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) | 0.002 | 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".