Quantitative Analysis of the Expression of Human N-myristoyltransferase 1 (hNMT-1) in Cancers
Bibliographic record
Abstract
Human N-myristoyltransferase 1 (hNMT-1) catalyzes the covalent attachment of myristic acid to N-terminal glycine residues (myristoylation) of numerous protein substrates. Overexpression of hNMT-1 in colorectal and gallbladder cancers makes it a potential biomarker and drug design target for such cancers. In this study, we investigated hNMT-1 expression during the progression of eight different human cancers using quantitative RT-PCR. The study results showed that hNMT-1 was up-regulated in breast, colon, lung and ovarian cancers but not kidney, liver, prostate and thyroid cancers. This suggests a role for hNMT-1 as a biomarker for detection of breast, colon, lung and ovarian cancers. This study also suggests the available hNMT-1 inhibitors may be potential therapeutic agents against breast and lung cancers through all disease stages, although their use would likely be limited to early stage colon and ovarian cancers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".