Colorectal Polyposis and Immune‐Based Therapies
Bibliographic record
Abstract
The progression from precancerous (adenomatous) colon polyps to malignant colorectal cancer involves the complex actions of various cytokines on T cell proliferation, cell-cell adhesion, apoptosis and host immunity. A broad spectrum of new treatments, including innovative molecular therapies such as gene therapy and treatment with cytokines, is under experimental and preclinical investigation. Nonsteroidal anti-inflammatory drugs and selective cyclooxygenase-2 inhibitors have traditionally been used as inflammation-reducing agents in cases of colon adenoma. Currently, adjuvant immunotherapies such as recombinant gene therapy and antibody-cytokine fusion proteins are assuming a more significant role in the management of colorectal neoplasia. Furthermore, advances in antitumour necrosis factor antibodies for the treatment of ulcerative colitis and Crohn's disease may have potential as chemoprotective agents for the treatment of colon polyposis. The present review aims to discuss the immunological mechanisms underlying colon tumour progression and the molecular and immune-based therapies that are leading to new methods of prognosis and treatment.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".