Identification of PFTAIRE protein kinase 1, a novel cell division cycle‐2 related gene, in the motile phenotype of hepatocellular carcinoma cells†
Bibliographic record
Abstract
UNLABELLED: Metastasis is a major cause of cancer morbidity and mortality in individuals with hepatocellular carcinoma (HCC), yet little is known about the underlying molecular basis. Using genetic information derived from chromosome-based comparative genomic hybridization, we have reported previously on regional chromosome 7q21-q22 gains in close association with HCC progression. In this study, we undertook cDNA microarray-based comparative genomic hybridization, to examine the 7q21-q22 region for the involved gene(s) in HCC. High-resolution mapping analysis highlighted 7 candidates, namely PFTAIRE protein kinase 1 (PFTK1), ODAG, CDK6, CAS1, PEX1, SLC25A, and PEG10, within the region. Quantitative reverse transcription (RT)-PCR evaluation further indicated upregulation of a single candidate gene, PFTK1, that correlated significantly with both advanced metastatic HCCs (P = 0.032) and tumor microvascular invasion (P = 0.012). Given that little is known about the function(s) of PFTK1, which is a novel cell division cycle (Cdc)2-related gene, we examined its potential role in the motile phenotype of HCC cells by both ectopic expression and knockdown investigations. RNA-interference knockdown of PFTK1 in invasive Hep3B cells resulted in a significant reduction in cell invasion, chemotactic migration, and cell motility (P < 0.001). Conversely, ectopic expression of PFTK1 in noninvasive HKCI-C3 cells induced substantial cellular invasion and migration (P < or = 0.007). In neither cell line was there any effect on cell viability. Immunofluorescence showed marked filamentous actin polymerizations in PFTK1-expressing cells. CONCLUSION: In this study, we have thus provided preliminary evidence that overexpression of PFTK1 may confer a motile phenotype in malignant hepatocytes that accounts for the association of upregulation of this gene in metastatic HCC.
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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 | 0.000 | 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".