ecancermedicalscience
Bibliographic record
Abstract
OBJECTIVE: The Fas-Fas ligand (FasL) system has been recognized as a major pathway for the induction of apoptosis in cells and tissues. Fas-mediated apoptosis is deeply involved in cancer cell death brought about by the immune system. This study was performed to determine the Fas and FasL expression in human bladder cancer and the impact of schistosomiasis infection. MATERIAL AND METHODS: Of the 75 patients, 25 with chronic bilharzial cystitis and 50 with bladder cancer were included in this study. Ten control patients were included in the study, following their consent. Fas and FasL expressions in bladder tissue were determined by indirect immunohistochemistry using avidin-biotin-peroxidase complex (ABC) method. RESULTS: The association of bilharziasis with malignancy raised the incidence of Fas positive immunoreactivity to 100%. The number of malignant cases positive for Fas decreased with progress of tumour grade and stage. All control cases were negative for FasL expression. The percentage of positive FasL malignant cases increased with increasing tumour grade or stage. CONCLUSION: Malignant bladder lesions express high levels of Fas and decreased expression of Fas is associated with disease progression. Urinary bladder carcinoma acquires the functional FasL during tumour progression that may induce apoptosis of anti tumour T lymphocytes. Fas and FasL are recommended to be considered important tumour markers to define aggressive bladder cancer and may be included in defining the surveillance protocol for superficial bladder cancer.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.728 | 0.570 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".