BMI1 Roles in Cancer Stem Cells and Its Association with MicroRNAs Dysregulation in Cancer: Emphasis on Colorectal Cancer
Bibliographic record
Abstract
Context: Colorectal cancer (CRC) is among the most common cancers in the world. Despite the existence of different treatment strategies such as chemoradiation and surgery, CRC therapy still remains a significant challenge as a result of the existence of cancer stem cells (CSCs). Evidence Acquisition: This review is comprised of research and review studies published in valid databases such as PubMed, ScienceDirect, Medline, Google Scholar, and Scopus, using the following keywords: BMI1, cancer stem cell, microRNA, and colorectal cancer. Results: BMI1 (B cell-specific Moloney murine leukemia virus integration site 1) is a key component of polycomb repressor complex 1 (PRC1) and plays a significant role in CSCs self-renewal in various types of cancer including CRC. It has been proven that BMI1, in association with deregulated microRNAs (miRNAs), can promote cell cycle progression as well as epithelial to mesenchymal transition (EMT) in cancer. Conclusions: BMI1 is a colon stem cell marker that is up-regulated in colon CSCs and can be taken as a promising target for CRC therapy. This review describes the role of BMI-1 in the self-renewal of CSCs and EMT in association with miRNA dysregulation (with emphasis on CRC).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".