Abstract 1782: N-myristoyltransferase proteins in breast cancer: Prognostic relevance and validation as a new drug target
Bibliographic record
Abstract
Abstract N-myristoyltransferases (NMTs) catalyze the addition of 14-carbon fatty acids to the N-terminus of proteins. This activity regulates numerous membrane-bound signal transduction pathways important in cancer biology, and the pan-NMT inhibitor PCLX-001 is in clinical development as a cancer therapy. The physiologic distribution and relative contributions of the two human NMTs, NMT1 and NMT2, remain poorly understood as previous studies used polyclonal antibodies with potential cross-reactivity. We generated and validated mutually exclusive monoclonal antibodies (mAbs) specific to the human isotypes of NMT1 and NMT2. These mAbs were used to perform an immunohistochemical (IHC) analysis of the abundance and distribution of NMT1 and NMT2 in normal human breast epithelial samples and a large (n=703) cohort of primary breast adenocarcinomas from the BCIRG001 study. While NMT1 protein was readily identifiable in most normal and transformed breast epithelial tissue, NMT1 abundance was associated with higher overall histologic grade, higher Ki67, and lower hormone expression. While NMT2 protein was readily detected in normal breast epithelial tissue, NMT2 protein was undetectable in the majority of malignant breast cancers, but detectable NMT2 protein correlated with significantly poorer overall survival outcomes (hazard ratio for death 1.36; p < 0.029) and significantly worse biological features including younger age, higher histologic grade, lower hormone receptor expression, higher Ki67, and p53 positivity. NMT status was unrelated to HER2 status. NMT1 and NMT2 protein abundances were positively correlated with each other. Treatment of cultured breast cancer cells with the pan-NMT inhibitor PCLX-001 reduced cell viability in vitro. Daily oral administration of PCLX-001 to immunodeficient mice bearing human MDA-MB-231 breast cancer xenografts induced significant dose-dependent tumor growth inhibition in vivo. These results support the further evaluation of NMT immunohistochemistry for selection of patients for NMT inhibitor therapy, and clinical trials of NMT inhibition in breast cancer patients. Citation Format: John R. Mackey, Justine Lai, Utkarsh Chauhan, Wei-Feng Dong, Darryl Glubrect, Sunita Ghosh, Gilbert Bigras, Raymond Lai, Luc G. Berthiaume. N-myristoyltransferase proteins in breast cancer: Prognostic relevance and validation as a new drug target [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1782.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".