Long-term Prognostic Impact of Chromosome Abnormalities in Clear Cell Renal Cell Carcinoma
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.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".