Insights into genetic alterations of liver metastases from uveal melanoma
Bibliographic record
Abstract
The liver is the organ usually affected by metastatic uveal melanoma (MUM). Current treatments are almost always ineffective and mortality remains high. In this study, copy number variations (CNVs) were identified in 12 metastatic and five matched primary UMs (PUMs). Our data revealed a wide spectrum of genetic alterations in MUM. Most common were amplifications of chromosome (chr.) 8q; alterations on chr. 3 included monosomy, isodisomy, and large regions of homozygosity (ROH). Genomic profiles of PUM-MUM pairs varied in their degree of similarity and complexity. However, within the pairs, 135 genes were consistently altered. Protein expression of C-MYC and BAP1 was examined by immunohistochemistry (IHC); a positive association between IHC and CNVs was seen for C-MYC. This comprehensive catalogue of CNVs associated with MUM should facilitate the identification of key alterations that drive tumor growth. This would have the potential to select urgently needed novel, targeted, therapeutic regimens.
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 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) | 0.001 | 0.001 |
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".