Somatic tissue testing in prostate cancer using the Oncomine V3 panel: A single-institution retrospective analysis.
Bibliographic record
Abstract
e17002 Background: Approximately 20-30% of prostate cancer (PC) patients have a mutation in the homologous recombination repair or mismatch repair genes, 50% of which are somatic. These mutations have prognostic and predictive implications. Somatic tissue testing (STT) was implemented at Sunnybrook Health Sciences Centre using the Oncomine V3 panel, which includes 161 genes, but only four genes (BRCA1/2, ATM, PALB2) are reported due to funding restrictions. We describe our centre’s testing experience and the utility of reporting beyond these four genes. Methods: Sixty-two PC patients between May 1, 2021 - January 31, 2023 were included. Clinical characteristics were gathered via chart review. Somatic variants of genes of interest (GOI) within the Oncomine V3 panel were extracted by an annotation specialist. Results: STT was ordered at diagnosis in 69.4% of cases (n=42) vs. at progression in 27.4% (n=17), 3 cases were external and lacked clinical context. Tests were ordered in the locoregional disease setting in 46.8% (n=29), 37.1% (n=23) in the metastatic castrate-sensitive setting, 8.1% (n=5) in the metastatic castrate-resistant (CR) setting and 3.2% (n=2) in the non-metastatic CR setting. Tests were ordered by Urology or Pathology (reflex testing) in 64.5% (n=40), by Medical Oncology in 16% (n=10), by Radiation Oncology in 13% (n=8) and by others in 6.5% (n=4). Fifty-one samples (82.2%) were of the prostate and 11 (17.7%) were of metastatic sites. The median sample age was 8 days (range 0-5781). The median test turn-around time was 28.5 days (range 5-57). There were 378 variants within the GOI and meeting the limit of detection [1] , of which 63 (16.7%) were tier 1 or 2 and are listed by gene in the table. Eight of 63 variants (12.7%) were within the four funded genes whereas 55/63 (87.3%) were within unfunded genes of clinical significance. CDK12, FANCA, NBN (n=7, 11.2%) are investigated in poly (ADP-ribose) polymerase inhibitor trials and PMS2 deficiency (n=1, 1.6%) can select for immune checkpoint inhibitors. PIK3R1/PIK3CA/AKT1-mutated tumors (n=11, 17.7%) have shown response to AKT-inhibitors. SPOP-mutated tumors (n=6, 9.7%) are associated with prolonged response to androgen receptor blockade whereas PTEN/TP53/RB1-negative tumors (n=12, 19.4%) are associated with anti-androgen resistance and worse prognosis. Conclusions: The majority of STT variants identified were beyond the currently funded genes in Ontario, and many have important prognostic and predictive implications. This highlights that STT early in the disease course using expanded gene panels may help in delivering personalized PC care. [Table: see text]
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".