Identification, incidence and clinical outcomes of patients (pts) with hypermutated prostate cancer (PC).
Bibliographic record
Abstract
195 Background: A small proportion of metastatic PC exhibit outlier somatic mutation rates. The incidence, clinical course and treatment response of pts with hypermutation (HM) is poorly characterised. Methods: We performed targeted sequencing of 1047 plasma cell-free DNA samples and calculated somatic mutation burden. HM samples and available matched archival tissue were additionally subjected to whole exome sequencing. Trinucleotide mutational signatures and microsatellite instability (MSI) were determined via nonnegative matrix factorization and mSINGS, respectively. We evaluated PSA decline ≥50% from baseline (PSA50), time from androgen deprivation therapy (ADT) to castration-resistant prostate cancer (CRPC), median duration of 1st line CRPC therapy (1L CRPCT) and median OS (time from CRPC to death). The control cohort consisted of 199 CRPC pts treated with 1L abiraterone + prednisone (ABI+P) or enzalutamide (ENZ). Results: 671 samples from 434 pts had ctDNA% > 2 and were evaluable. The median mutation rate was 2.59/Mb (range, 0.9 – 155.6/Mb). 32 samples from 24 pts had > 11/Mb and fell above the 95th percentile for mutational burden. 10/24 pts had biallelic loss of mismatch repair (MMR) genes MSH2/6, and a further 5 pts without confirmed MMR defects had enrichment of trinucleotide signatures associated with MMR and/or were MSI high by mSINGS. The remaining 9 pts had either BRCA2 mutations or Kataegis (localized hypermutation). Clinical data was available for 10/15 MMR defective pts. Median age was 73.6 y. At diagnosis, 70% had Gleason score ≥8, 50% with M1 disease, median PSA was 22.8 (6.8 – 820). PSA50 with ADT (n = 8) or ADT + docetaxel (n = 2) was 100% in the castration sensitive setting. 5 pts had ENZ, 4 ABI + P, and 1 cabazitaxel in 1L CRPCT. Comparing the MMR defective with the control cohort, median time from ADT to CRPC was 9.1 m (95% CI 6.9 – 11.4) vs. 18.2 m (95% CI 15.1 – 21.3), p = 0.001; 1L CRPCT duration was 3.9 m (95% CI 1.3 – 6.5) vs. 8.4 m (95% CI 7.2 – 9.6), p = < 0.001; median OS was 13.1 m (95% CI 0.33 – 25.9) vs. 40.1 m (95% CI 32.4 – 47.8), p < 0.001. Conclusions: HM and MMR defects can be identified in a liquid biopsy. Although these pts can have poor outcomes with standard therapy, ctDNA may help selection for immunotherapy.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".