Prima-1Met Combined with Bortezomib Has Synergistic Anti-Myeloma Activity By Modulation of Apoptosis and Cell Cycle Regulating Genes
Bibliographic record
Abstract
Abstract INTRODUCTION Multiple Myeloma (MM) is a plasma-cell malignancy characterized by dismal prognosis and a high level of relapse, thus novel therapeutic approaches are needed. PRIMA-1Met is a novel small molecule showing anti-tumour activity and currently in clinical phase I-II trials. We recently demonstrated that PRIMA-1Met has potent anti-MM activity in vitro and in vivo. Bortezomib (BTZ) is a proteasome inhibitor that has been successfully used for treating some cases of relapsed MM. The aim of the current study is to determine whether PRIMA-1Met could be used in combination with BTZ to enhance the cytotoxic effects in myeloma cells. METHODS Using three different MM cell lines (LP1, U266 and 8226), we established dose response curves for both PRIMA-1Met and BTZ, and tested drug cytotoxicity using MTT assays. We then tested drug cytotoxicity of a range of concentrations of the drugs in combination. The Chou Talay method was used to determine whether or not the drug combinations were synergistic. A gene expression array was used to investigate the mechanism of the drug combination's effects. Total RNA was isolated from MM cell pellets, then synthesized cDNAs were applied to real time RT-PCR gene expression arrays containing 84 genes of interest. The genes selected were involved in apoptotic as well as cell growth and proliferation pathways. After normalization to 4 different housekeeping genes, fold changes in gene expression were analyzed in both drug treated and control samples using the 2-ΔΔCt algorithm. Western blot analysis was used to further investigate proteins of interest. RESULTS Cell viability of 8226, LP1 and U266 cells treated with individual concentrations of PRIMA-1Met (10uM) and BTZ (10nM) was on average 65%, 45% and 72.5%, respectively. However, combination of above doses reduced viability to 20% in 8226 and LP1, and to 40% in U266. The Chou Talay method identified this drug combination as synergistic in 2 out of the three tested cell lines, with Combination Index (CI) values of 0.72 in 8226 and 0.582 in U266. The gene expression analysis in real time RT-PCR indicated that the drug combination resulted in downregulation of genes involved in cell cycle and proliferation (CCND1, CDK4, CDK6, CDK2, IGFIR), genes from the Bcl-2 family of apoptosis regulation (Bcl-2, Bcl-XL, Mcl-1), as well as MDM2 from the p53 signalling pathway, and MYC, which is involved in both apoptosis and cell cycle progression. Western blot analysis revealed up-regulation of cleaved caspase-3 and -9, implying involvement of the intrinsic apoptotic pathway in the drug combination's activity. CONCLUSION Our results reveal that PRIMA-1Met synergistically enhances the anti-MM effect of BTZ, leading to a significantly higher level of MM cell death. Real time RT-PCR gene array analysis offers some insight into the mechanism of this combination's effect, implicating apoptotic, cell cycle and growth regulating genes. Our study provides framework for further evaluation of this drug combination as a novel therapeutic strategy in MM. Disclosures No relevant conflicts of interest to declare.
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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) | 0.001 | 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) | 0.002 | 0.000 |
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.
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".