Chronic Inflammatory Mediators Induced Malignant Changes in Inflammatory Microenvironment of Oral Potentialy Malignant Conditions - An Emerging Concept
Bibliographic record
Abstract
Potentially malignant conditions of the oral cavity are potential threat to mankind because of its malignant changes later. Oral potentially malignant conditions are chronic inflammatory mucocutaneous disorder affecting oral mucosa. Inflammatory mediators induced by chronic inflammatory microenvironment of premalignant conditions are cytokines, chemokines, growth factors, proteolytic enzymes, released by inflammatory cells such as macrophages, lymphocytes, neutrophils, mast cells, activate transcriptional factors such as NF-kB, STAT-3 and HIF-1, promotes cell proliferation, angiogenesis, tumor promotion, resistant to apoptosis, epithelial to mesenchymal transition, induced invasion and metastasis. Carcinoma associated fibroblasts in tumor microenvironment originated by activated fibroblasts secretes cytokines and growth factors promotes tumor progression by cell proliferation, angiogenesis, cell survival, genomic instability, invasion and metastasis. Myeloid derived suppressor cells are specialized heterogeneous immature myeloid progenitor cells that are dendritic cells, macrophages, granulocytes produced upon chronic inflammatory mediators. These cells responsible for immune evasion, immunosuppression and tumor progression by various mechanisms and interaction with other immune cells, activating transcriptional factors such as NF-kB and STAT-3. This article describe about roles of chronic inflammatory cells and their mediators in inflammatory microenvironment of premalignant conditions bring about malignant changes in oral sub mucous fibrosis and oral lichen planus.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".