The impact of proliferation and cancer stem cell upon the resistence to chemotherapy in salivary mucopepidermoid carcinoma
Bibliographic record
Abstract
Background and aim: Mucoepidermoid carcinoma is a common salivary tumor that affects both adults and children. Proliferation is one of the most fundamental biological processes of growth and maintenance of tissue homeostasis. CD-44 may be used as an indicator of aggressive behavior of some human malignancy. Multidrug resistance is one of the major obstacles for successful cancer chemotherapy. The present study was carried out for evaluation of the biological rules and the clinicopathological significance of Ki-67, CD-44 and MDR-1 expression in the different histopathological grades of MECs.Patients and methods: Eighty paraffin embedded MEC tissues were collected and classified to three groups according to their histological grades. Tissue sections were stained with Ki-67, CD-44 and MDR-1 then examined microscopically and analyzedstatistically.Result: High grade MEC cases showed the highest expression for Ki-67, CD-44 and MDR-1. Additionally, significant differences were found between the histopathological grades as well as between lymph node stages of the studied cases and the expression of the three utilized markers.Conclusion: Ki-67, CD-44 and MDR-1can be used to evaluate the degree of differentiation and to predict the prognosis of MECs, furthermore, high grade MEC cases with high proliferative indices might be resistant to chemotherapy.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".