Oncogenic ILK, tumor suppression and all that JNK
Bibliographic record
Abstract
In neoplastic cells, proteins exert either pro or anti-tumorigenic functions. However, some proteins exhibit both properties, commonly dependent on specific aberrations occurring in a tumor-specific context. Recently, we demonstrated that the integrin-linked kinase (ILK), generally characterized as an oncogenic protein kinase, functions as a tumor suppressor protein in vitro and in vivo in the aggressive pediatric tumor, rhabdomyosarcoma (RMS). Other studies have similarly demonstrated both growth and tumor suppressive functions for ILK in normal and transformed tissues. The mechanism of ILK tumor suppression in RMS relies on expression levels of another kinase, the c-jun amino terminal kinase-1 (JNK1). These findings support a model in which ILK tumor suppression is mediated in part by elevated JNK1 expression, and indicate both a rationale for stratification of patients to receive anti-ILK therapies, and a need to better understand the context in which ILK displays its seemingly contradictory functions. This review discusses the complex roles of ILK in tumorigenesis, and offers arguments to harness ILK and JNK signaling as novel targets for anti-cancer therapy.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".