Making heads or tails – the emergence of <i>capicua</i> (<i>CIC</i>) as an important multifunctional tumour suppressor
Bibliographic record
Abstract
Capicua, encoded by the gene CIC, is an evolutionarily conserved high-mobility group-box transcription factor downstream of the receptor tyrosine kinase and mitogen-activated protein kinase pathways. It was initially discovered and studied in Drosophila. Recurrent mutations in CIC were first identified in oligodendroglioma, a subtype of low-grade glioma. Subsequent studies have identified CIC aberrations in multiple types of cancer and have established CIC as a potent tumour suppressor involved in regulating pathways related to cell growth and proliferation, invasion and treatment resistance. The most well-known and studied targets of mammalian CIC are the oncogenic E-Twenty Six transcription factors ETV1/4/5, which have been found to be elevated in cancers with CIC aberrations. Here, we review the role of CIC in normal mammalian development, oncogenesis and tumour progression, and the functional interactors that mediate them. © 2020 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".