The tumor suppressor function of STAT1 in breast cancer
Bibliographic record
Abstract
The anti-tumor function of STAT1 through its capacity to control the immune system and promote tumor immune surveillance has been well understood. However, little is known about cell autonomous (i.e., tumor cell-specific) functions of STAT1 in tumor formation. Recent studies have provided strong evidence that STAT1 suppresses mouse mammary gland tumorigenesis by both, immune regulatory and tumor cell-specific functions of STAT1. Specifically, STAT1 deficiency in the mouse mammary gland inhibits ErbB2/Neu-mediated tumorigenesis and contributes to spontaneous formation of estrogen receptor α (ER α)-positive as well as ER α-negative tumors closely resembling human disease. Herein, we review the anti-tumor functions of STAT1 revealed from investigations of murine breast cancer models and from characterization of the signaling properties of STAT1 in human breast tumor cells. The significance of STAT1 in breast cancer is underscored by studies proposing a prognostic value for the expression and/or phosphorylation of STAT1 for specific molecular types of breast cancer. Furthermore, STAT1 dependent transcription is proposed to contribute to therapeutic responses by modulating the efficacy of chemotherapeutic drugs and the development of drug resistance.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".