Pesquisa de células malignas circulantes em pacientes com melanoma maligno de coróide
Bibliographic record
Abstract
PURPOSE: The purpose of our study was to detect circulating malignant cells (CMCs) in oversea-shipped blood samples of patients with uveal melanoma diagnosed in Brazil. METHODOS: Melan-A and tyrosinase were the two markers used for the detection of CMCs, using reverse transcriptase nested polymerase chain reaction (RT-nested-PCR) in 6 patients with uveal melanoma. The expression of beta-actin and GAPDH were used to assess the quality of the material. RESULTS: Five patients (83.33%) tested positive for the presence of CMCs. The RT-nested-PCR was positive for melan-A in 4 patients (66.7%) and positive for tyrosinase in 4 (66.7%) of the 6 patients. Three (50%) patients were positive for both markers. One (16.7%) patient was negative for both markers. All negative controls were negative. CONCLUSION: The quality of the blood samples shipped overseas, from patients with uveal melanoma, was preserved. The detection of CMCs using RT-nested-PCR was positive in the majority of the patients.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads 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".