IL‐17R deletion predicts high‐grade colorectal cancer and poor clinical outcomes
Bibliographic record
Abstract
The IL-17 receptor (IL-17R) has a perplexing role in cancer, which may be explained by its yin-yang signaling pathways. Recently, the critical role of IL-17R in maintaining basal levels of A20-a key negative regulator of NF-κB and JNK-c-Jun pathways has been demonstrated in cancer cell lines. Cross-cancer analyses of somatic copy number alterations in IL-17RA, IL-17RC and A20 genes reveal that IL-17RA-deletion is common in colorectal cancer (CRC) patients, representing 24, 26, 37 and 49% of stage I, II, III and IV of patients, respectively, and mutually exclusive with patients displaying microsatellite instability. Importantly, patients with IL-17R-deletion or concurrent deletions of A20 show significantly reduced overall survival. Analysis of multiple published microarray studies confirms that IL-17RA expression is significantly reduced in CRC samples compared to normal counterparts, and its level is closely associated with A20 expression. Analyses of RNAseq data indicate that tumors with IL-17R-deletion express strong molecular markers of tumor invasion, growth and metastasis. Notably, approximately 20 genes responsible for protein synthesis and mitochondrial metabolism are inversely correlated with both IL-17RA and A20. Immunohistochemistry staining in human colorectal tissue arrays further reveals that high-grade tumors have significantly reduced IL-17RA staining compared to low-grade tumors. Thus, collective evidence strongly supports a previously unrecognized CRC-promoting mechanism triggered by IL-17RA-deletion and highlights its utility as a prognostic marker in CRC.
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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 | 0.000 | 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) | 0.001 | 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".