Inactivation of phosphatidylethanolamineN-methyltransferase-2 in aflatoxin-induced liver cancer and partial reversion of the neoplastic phenotype by PEMT transfection of hepatoma cells
Bibliographic record
Abstract
Phosphatidylethanolamine N-methyltransferase(PEMT) is an enzyme in liver that catalyzes the stepwise methylation of phosphatidylethanolamine to phosphatidylcholine, in addition to the main pathway that synthesizes phosphatidylcholine directly from choline. We have reported that PEMT is permanently inactivated in liver cancer induced by the Solt and Farber model. Here we studied, (i) whether similar changes also occur in the progression of hepatocarcinoma triggered by aflatoxin B(1) (AFB(1)) in rats; (ii) whether the hepatoma phenotype could be reversed by over-expression of PEMT2. We found that PEMT2 protein decreased in pre-neoplastic nodules and virtually disappeared in hepatocellular carcinoma induced by AFB(1) due to decreased levels of mRNA without any deletion or mutation of the DNA sequence. PEMT activity, which reflects the function of both PEMT1 and PEMT2, was lower in nodules and negligible in the tumor, consistent with its regulation at the level of gene transcription. McArdle hepatoma cells transfected with PEMT2 failed to form anchorage-independent colonies in soft agar, while the vector-transfected control line grew efficiently. Moreover, PEMT2-transfected cells were also poorly tumorigenic in vivo in athymic mice, as shown by the lower tumor incidence, the longer cancer-free-time and the lower tumor volume and weight. Together, these data indicate that the loss of PEMT function may contribute to malignant transformation of hepatocytes.
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 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 | 0.000 | 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) | 0.000 | 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".