Abstract 3046: Targeting N-myristoylation in B cell lymphomas as a therapeutic strategy
Bibliographic record
Abstract
Abstract Treatment of aggressive lymphoma is toxic, expensive, and a substantial proportion of patients relapse and die. There is an urgent need for more effective treatments. Myristoylation is required for biological activity of >200 intracellular proteins. N-myristoyltransferases (NMTs) transfer the fatty acid myristate to N-terminal glycine residue; there are two isoforms, NMT1 and 2. Since they are critical to intracellular signaling, NMTs are potential anti-cancer targets. We tested a novel potent pan-NMT inhibitor, PCLX-001, in B cell lymphoma cell lines. In vitro assays included cell viability, immunoblotting, and metabolic labeling of lymphoma cell lines. Immunohistochemistry was performed on formalin fixed paraffin embedded lymphoma specimens from patients. In vivo experiments included cell line derived murine xenografts and a patient derived mouse xenograft treated with increasing concentrations of PCLX-001. PCLX-001 selectively killed lymphoma cells, while sparing normal cells in vitro and in 3 mouse xenograft models, eradicating tumors in two of these models including a patient-derived xenograft from a R-CHOP refractory lymphoma patient. While NMT2 is overexpressed in some cancers, loss of NMT2 expression is common in numerous cancers and occurs at the highest prevalence in lymphomas, where it is independently linked to a worse prognosis. This NMT2 suppression occurred through epigenetic mechanisms and may account for lymphoma sensitivity to NMT inhibition. The global myristoylation of lymphoma cell proteins, including that of the protein tyrosine kinase oncogene Src, is profoundly inhibited by PCLX-001. Loss of Src myristoylation is accompanied by loss of Src activity and may account for loss of prosurvival signals causing lymphoma cell death. Targeting NMT2 deficient B cell lymphoma with a pan-NMT inhibitor suppresses the residual NMT1 function provides a novel, selective, and effective therapeutic strategy. Citation Format: John R. Mackey, Erwan Beauchamp, Megan C. Yap, Aishwarya Iyer, Maneka A. Perinpanayagam, Krista M. Vincent, Abass M. Al-Momany, Ryan J. Heit, Jacky Y. Sim, Raymond Lai, Wei-feng Dong, Manikandan Lakshmanan, Anandhkumar Raju, Vinay Tergaonkar, Soo Yong Tan, Soon Thye Lim, Lynne M. Postovit, Kevin D. Read, David W. Gray, Paul G. Wyatt, Luc G. Berthiaume. Targeting N-myristoylation in B cell lymphomas as a therapeutic strategy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3046.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".