Plk4 is required for cytokinesis and maintenance of chromosomal stability
Bibliographic record
Abstract
Aneuploidy is a characteristic feature of established cancers and can promote tumor development. Aneuploidy may arise directly, through unequal distribution of chromosomes into daughter cells, or indirectly, through a tetraploid intermediate. The polo family kinase Plk4/Sak is required for late mitotic progression and is haploinsufficient for tumor suppression in mice. Here we show that loss of heterozygosity (LOH) occurs at the Plk4 locus in 50% of human hepatocellular carcinomas (HCC) and is present even in preneoplastic cirrhotic liver nodules. LOH at Plk4 is associated with reduced Plk4 expression in HCC tumors but not with mutations in the remaining allele. Plk4(+/-) murine embryonic fibroblasts (MEFs) at early passage show a high incidence of multinucleation, supernumerary centrosomes, and a near-tetraploid karyotype. Underlying these phenotypes is a high rate of primary cytokinesis failure, associated with aberrant actomyosin ring formation, reduced RhoA activation, and failure to localize the RhoA guanine nucleotide exchange factor Ect2 to the spindle midbody. We further show that Plk4 normally localizes to the midbody and binds to and phosphorylates Ect2 in vitro. With serial passaging Plk4(+/-) MEFs rapidly immortalize, acquiring an increasing burden of nonclonal and clonal gross chromosomal irregularities, and form tumors in vivo. Our results indicate that haploid levels of Plk4 disrupt RhoGTPase function during cytokinesis, resulting in aneuploidy and tumorigenesis, thus implicating early LOH at Plk4 as one of the drivers of human hepatocellular carcinogenesis. These findings represent an advance in our understanding of genetic predisposition to HCC, which continues to increase in incidence globally and particularly in North America.
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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) | 0.001 | 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) | 0.002 | 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".