Phosphorylation of SOCS1 Inhibits the SOCS1–p53 Tumor Suppressor Axis
Bibliographic record
Abstract
Expression of the suppressor of cytokine signaling-1 (SOCS1) is inactivated in hematopoietic and solid cancers by promoter methylation, miRNA-mediated silencing, and mutations. Paradoxically, SOCS1 is also overexpressed in many human cancers. We report here that the ability of SOCS1 to interact with p53 and regulate cellular senescence depends on a structural motif that includes tyrosine (Y)80 in the SH2 domain of SOCS1. Mutations in this motif are found at low frequency in some human cancers, and substitution of Y80 by a phosphomimetic residue inhibits p53-SOCS1 interaction and its functional consequences, including stimulation of p53 transcriptional activity, growth arrest, and cellular senescence. Mass spectrometry confirmed SOCS1 Y80 phosphorylation in cells, and a new mAb was generated to detect its presence in tissues by IHC. A tyrosine kinase library screen identified the SRC family as Y80-SOCS1 kinases. SRC family kinase inhibitors potentiated the SOCS1-p53 pathway and reinforced SOCS1-induced senescence. Samples from human lymphomas that often overexpress SOCS1 also displayed SRC family kinase activation, constitutive phosphorylation of SOCS1 on Y80, and SOCS1 cytoplasmic localization. Collectively, these results reveal a mechanism that inactivates the SOCS1-p53 senescence pathway and suggest that inhibition of SRC family kinases as personalized treatment in patients with lymphomas may be successful. SIGNIFICANCE: These findings show that SOCS1 phosphorylation by the SRC family inhibits its tumor-suppressive activity, indicating that patients with increased SOCS1 phosphorylation may benefit from SRC family kinase inhibitors.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".