Irinotecan Inactivation Is Modulated by Epigenetic Silencing of<i>UGT1A1</i>in Colon Cancer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Irinotecan is used in the first-line treatment of metastatic colorectal cancer. The UGT1A1-metabolizing enzyme, expressed in liver and colon, is primarily involved in the inactivation of its active metabolite 7-ethyl-10-hydroxycamptothecin (SN-38). Herein, we explored the role of DNA methylation in the silencing of UGT1A1 gene expression in colon cancer and its influence on cellular SN-38 detoxification. EXPERIMENTAL DESIGN AND RESULTS: UGT1A1 mRNA was repressed in most primary tumors (41 of 50; 82%) and in three colon cancer cell lines (HCT-116, HCT-15, and COLO-320DM). Bisulfite sequencing of the UGT1A1 gene revealed the aberrant methylation of specific CpG islands in UGT1A1-negative cells. Conversely, hypomethylation was observed in HT-29, HT-115, and LOVO cells that overexpress UGT1A1. Direct methylation of the UGT1A1 promoter resulted in the complete repression of transcriptional activity. Treatment with demethylating and histone deacetylase inhibitor agents had the capacity to reverse aberrant hypermethylation and to restore UGT1A1 expression in hypermethylated UGT1A1-negative cells but not in hypomethylated cells. Loss of UGT1A1 methylation was further associated with an increase in UGT1A1 protein content and with an enhanced inactivation of SN-38 by 300% in HCT-116 cells. CONCLUSIONS: We conclude that DNA methylation represses UGT1A1 expression in colon cancer and that this process may contribute to the level of tumoral inactivation of the anticancer agent SN-38 and potentially influence clinical response.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 it