TYK2-STAT1 Pathway Positively Regulates BCL2 Gene Expression in T-Cell Acute Lymphoblastic Leukemia
Bibliographic record
Abstract
Abstract Abstract 1470 To discover oncogenic pathways that are characteristically deregulated in T-cell acute lymphoblastic leukemia (T-ALL), we performed RNA interference screens both in T-ALL cell lines and primary specimens. We found that the JAK tyrosine kinase family member, TYK2, and its downstream effector, STAT1, are each required for the survival of T-ALL cells. To identify the effector molecules downstream of the TYK2-STAT1 pathway in T-ALL, we analyzed global gene expression profiles in TYK2-dependent T-ALL cell lines after silencing of TYK2 or STAT1. As expected, gene set enrichment analysis revealed that genes downregulated by TYK2 knockdown were generally also downregulated by knockdown of STAT1. Importantly, we found that expression of the anti-apoptotic gene BCL2 was significantly downregulated after silencing of both TYK2 and STAT1. Analysis by quantitative PCR of additional T-ALL cell lines revealed that silencing of TYK2 resulted in significant reductions of BCL2 mRNA expression in multiple TYK2-dependent cell lines. Expression of the wild-type but not the kinase-dead TYK2 protein was sufficient to rescue BCL2 protein expression and to prevent apoptosis after knockdown of endogenous TYK2, indicating that the tyrosine kinase activity of TYK2 is required for BCL2 upregulation. Similarly, expression of the shRNA-resistant wild-type STAT1A protein partially rescued BCL2 protein expression and prevented apoptosis, while a variant of STAT1A (Y701F) that is incapable of becoming phosphorylated on a requisite tyrosine residue did not rescue BCL2 levels. Taken together, our findings indicate that aberrant activation of a TYK2-STAT1 pathway upregulates BCL2 expression in T-ALL cells, and that the T-ALL cells develop pathway dependence, in that they require these sustained high levels BCL2 expression for survival. Disclosures: No relevant conflicts of interest to declare.
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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 | 0.000 | 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 | 0.000 |
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".