Long-term Prognostic Impact of Chromosome Abnormalities in Clear Cell Renal Cell Carcinoma
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND/AIM: Clear cell renal cell carcinoma (ccRCC) shows variable chromosomal abnormalities. The aim of this study was to assess the prognostic role of ccRCC chromosomal abnormalities in a single-center cohort with an extended follow-up. MATERIALS AND METHODS: A systematic cytogenetic analysis was performed in 283 consecutive surgically-treated patients for renal masses between 1997 and 2002. Kaplan-Meier and multivariable Cox regression (MCR) models were used to calculate cancer specific survival (CSS). RESULTS: Among 174 ccRCC patients, the most common abnormality was deletion in chromosome 3 (54.6%). At a median follow-up of 119 months, 38 patients (21.8%) died from RCC. At MCR models, worse CSS was independently predicted by deletions in chromosomes 2, 19, 20 or 22 and insertions in chromosome 18. CONCLUSION: Specific ccRCC chromosomal abnormalities are independently associated with worse CSS. Cytogenetic evaluation may direct further genetic analysis for personalized prognostic stratification.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it