Abstract 281: Novel nucleic acid constructs and formulations for treatment of bladder cancer and malignant ascites
Bibliographic record
Abstract
Abstract Nucleic acid-based therapeutics offer significant promise in treatment of difficult diseases by providing high sequence specificity against target genes including “non-druggable targets”. Different nucleic acid constructs, single-stranded antisense oligonucleotides, microRNA mimetics, miRNA-specific antagomirs (AntimiR), and double-stranded short-interfering RNAs (siRNAs), provide diverse therapeutic platforms to access targets in treatment of cancer and other diseases. Single-stranded oligonucleotides require additional modifications for increased serum stability, nuclease resistance, and to minimize immune response. Conformationally restricted nucleotide (CRN)-substituted AntimiRs targeting miR-21 and miR-122 demonstrated significant improvement in hybridization affinity with a concomitant increase in potency. A CRN-substituted AntimiR targeting microRNA-122 dosed at up to 50 mg/kg/day over three consecutive days led to a dose-dependent effect on de-repression of downstream liver-specific target genes, Aldolase A (AldoA), Glycogen Synthase I (GYS1) and Solute Carrier Family 7 member 1 (SLC7A1). This CRN-modified AntimiR produced up to a 5-fold increase in AldoA mRNA while demonstrating a good tolerability profile with no body weight changes and normal serum chemistry. Development of therapeutic siRNA constructs can be hampered by off-target effects and cytokine induction. Substitution of unlocked nucleobase analogs (UNAs) at specific positions in the passenger and guide strands of siRNA confers high specificity with minimal to no off-target activity. UsiRNAs were successfully delivered to bladder or abdominal tumors when encapsulated in DiLA2- or SMARTICLES®-derived liposomes. DiLA2−encapsulated polo-like kinase 1 (PLK1) UsiRNA demonstrated 95% mRNA reduction and up to 70-fold tumor growth inhibition in a bladder cancer orthotopic mouse model and 40-70% mRNA inhibition and ∼80% reduction in tumor-specific bioluminescence in a malignant ascites mouse model following intravesical or intraperitoneal dosing, respectively. In an orthotopic liver tumor animal model, liposomal encapsulated miRNA mimetics provided ∼80% reduction in tumors compared to buffer control. Combinations of formulations and construct capitalize on the advantages of nucleic acid-based therapeutics for precise targeting and flexible delivery to challenging drug targets in cancer and other indications. 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 281. doi:1538-7445.AM2012-281
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".