Secreted protein acidic and rich in cysteine-induced cellular senescence in colorectal cancers in response to irinotecan is mediated by P53
Bibliographic record
Abstract
Cellular senescence is another mechanism that can be exploited to achieve better chemosensitivity and greater tumor regression. Unlike apoptosis, cellular senescence can be induced at much lower concentrations of chemotherapy that are better tolerated by patients. We previously revealed that secreted protein acidic and rich in cysteine (SPARC), a matricellular protein, may function as a modulator of chemotherapy sensitivity by enhancing apoptosis. Here, we examine the effects of SPARC on cellular senescence in the presence of chemotherapy. Cellular senescence is induced only in sensitive colorectal cancer (CRC) cells with low concentrations of irinotecan (CPT-11). However, CPT-11-resistant cells exposed to endogenous or exogenous SPARC can also be triggered into cellular senescence. This induction is associated with higher levels of p16(INK4A) and phosphorylated p53. Knock down of p16(INK4A) reduces drug-induced senescence in all cells, but knock down and overexpression of p53 modulates senescence only in cells exposed to SPARC. Furthermore, treatment of mice with SPARC and CPT-11 leads to significantly increased cellular senescence and tumor regression. The chemosensitizing effects of SPARC in CRCs are, therefore, probably mediated in part by activating cellular senescence.
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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 | 0.001 |
| 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".