A potent agonist-based PROTAC targeting Pregnane X Receptor that delays colon cancer relapse
Bibliographic record
Abstract
ABSTRACT Tumor recurrence is often attributed to drug-tolerant cancer stem cells. We previously demonstrated that down regulation of the Pregnane X Receptor (PXR, NR1I2) decreases chemoresistance of cancer stem cells and prevents colorectal cancer recurrence in xenograft mouse models. These is a lack of PXR antagonists that are appropriate for clinical use. In this study, we report the design and synthesis of a novel PXR agonist-based PROTAC (JMV7048) that induces polyubiquitination and degradation of human PXR protein in an E3 CRBN ubiquitin ligase- and the 26S proteasome-dependent manner. This molecule specifically degrades PXR in colon carcinoma, hepatoma, and pancreatic cancer cell lines, but not in primary cultures of human hepatocytes. Crucially, JMV7048 decreased PXR protein expression in colon cancer stem cells and sensitized them to chemotherapy significantly delaying cancer relapse in vivo. PROTACs targeting PXR protein could thus become novel therapeutic agents to enhance cancer cell sensitivity to chemotherapy.
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.
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) | 0.000 | 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) | 0.001 | 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 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".