STAT1 Promotes <i>KRAS</i> Colon Tumor Growth and Susceptibility to Pharmacological Inhibition of Translation Initiation Factor eIF4A
Bibliographic record
Abstract
The transcription factor STAT1 displays antitumor functions for certain forms of cancer via immunoregulatory and cell-autonomous pathways. Paradoxically, STAT1 can promote the survival of different tumor types treated with chemotherapeutic drugs through mechanisms that are not clearly defined. Herein, we demonstrate that STAT1 displays prosurvival effects in human KRAS colon tumor cells by regulating pathways that converge on the initiation of mRNA translation. Specifically, STAT1 increases PI3K class IB signaling and promotes the downregulation of the programmed cell death protein 4 (PDCD4), a protein with tumor-suppressive properties. PDCD4 downregulation by STAT1 increases the activity of the translation initiation factor eIF4A, which facilitates the cap-independent translation of mRNAs encoding for the antiapoptotic XIAP and BCL-XL in colon tumors with mutated but not normal KRAS Genetic inactivation of STAT1 impairs the tumorigenic potency of human KRAS colon tumor cells and renders them resistant to the antitumor effects of the pharmacologic inhibition of eIF4A in culture and immunodeficient mice. Our data demonstrate an important connection between mRNA translation and KRAS tumorigenesis under the control of STAT1, which can determine the susceptibility of KRAS tumors to pharmacologic inhibition of mRNA translation initiation. Mol Cancer Ther; 15(12); 3055-63. ©2016 AACR.
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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) | 0.000 | 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".