Oncologist-led germline genetic testing for uveal melanoma
Bibliographic record
Abstract
Purpose To report the genotype and phenotype of a cohort of unselected uveal melanoma (UM) patients who had germline multi-gene panel genetic testing, including the BAP1 gene, from a large multi-ethnic cancer centre. We describe the central role of the medical genetics clinic in collaboration with oncologists in a mainstreaming model to facilitate genetic testing, counselling and streamlining of patients with hereditary cancer predisposition.Methods A retrospective chart review of clinical and genetic findings of unselected UM patients who had germline genetic testing between December 2019 and October 2021 was conducted. Extracted DNA from peripheral blood samples were analyzed with a multi-gene panel that included at least six genes associated with hereditary melanoma. The correlation between the genotype and the phenotype of the cohort was evaluated. Statistical analysis comprised descriptive and comparative statistics with significance assigned at p < .05. The genetics clinic streamlined patients among the relevant oncology clinics for cancer screening in germline BAP1 positive individuals.Results In unselected UM patients, 3.5% (4/114) tested positive for a BAP1 pathogenic variant. Germline BAP1 status was associated with a family history of mesothelioma (p = .0015) and metastatic disease (p = .017). There were no other significant associations between the patient- or tumour-related characteristics and germline BAP1 results.Conclusion A germline BAP1 mutation was detected in 3.5% of unselected UM patients. The oncologist-initiated and genetics-led mainstreaming model is a straightforward process and can be utilized for offering genetic testing to all UM patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".