Mechanisms of Plk4 haploinsufficiency in hepatocellular carcinogenesis
Bibliographic record
Abstract
11100 Background: The pathogenesis of hepatocellular carcinoma (HCC) is multifactorial and includes genetic predisposition, though the precise nature of the latter is as yet poorly understood. Mice heterozygous for the polo like kinase Plk4 develop spontaneous HCC and human HCC cases show a high rate of LOH (loss of heterozygosity) at the Plk4 locus. We hypothesize that Plk4 is a haploinsufficient tumor suppressor in man. The purpose of this study was to investigate the mechanisms by which a 50% reduction of Plk4 leads to carcinogenesis. Methods: We established Plk4± and Plk4+/+ murine embryonic fibroblast cell lines (MEFs) in vitro. 5 of 5 Plk4+/+ MEF lines senesced at passage 7–8 as expected, while 9 of 9 Plk4±MEF lines immortalized in culture under NIH 3T3 protocol. The latter were used at passage 15–20 for in vivo tumorigenesis studies. Results: Plk4± MEFs demonstrated increased ploidy with increased passage number. By passage 4, Plk4± MEFs showed a near tetraploid karyotype as well as multiple chromosomal rearrangements and deletions, as assessed by Spectral Karyotype (SKY) Analysis. 5 out of 9 late passage Plk4± MEF lines injected into NOD-SCID mice grew tumors, with a latency of 3 to 12 weeks. By contrast, injection of Plk4+/+ MEFs yielded no tumors. Tumors generated from injection of Plk4± MEFs were harvested, cultured and submitted to SKY analysis; this showed increased clonal rearrangements and deletions compared to the parent cell lines. Conclusion: A 50% reduction in Plk4 expression results in immortalization, aneuploidy and chromosomal instability in vitro, and tumorigenicity in vivo. These results demonstrate that insufficient levels of Plk4, whether due to mutation or LOH, can contribute to the pathogenesis of HCC. No significant financial relationships to disclose.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 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".