Intermediate atypical carcinoma (IAC): A discrete subtype of metastatic castration-resistant prostate cancer (mCRPC) suggesting that treatment-associated small cell/neuroendocrine prostate cancer (t-SCNC) may evolve from mCRPC adenocarcinoma (adeno)—Results from the SU2C/PCF/AACR West Coast Prostate Cancer Dream Team (WCDT).
Bibliographic record
Abstract
158 Background: A subset of mCRPC patients (pts) that develop resistance to next-gen androgen signaling inhibitors are subsequently found to harbor t-SCNC. We have undertaken a longitudinal prospective biopsy (bx) study to clinically and molecularly characterize these pts. Methods: Eligible pts underwent an image-guided mCRPC bx at one of 5 WCDT centers. Tissue was both frozen and formalin fixed/paraffin embedded (FFPE). FFPE tissue was used for targeted next generation sequencing (NGS) and independent pathologic review by 3 pathologists. Frozen specimens underwent laser capture micro-dissection prior to RNA sequencing (seq). Machine learning was used to derive histology-specific expression signatures. Linear Discriminant Analysis (LDA) was applied to the RNA seq data from the first 131 bx using 3 observed histologic subtypes as labels to test for an intermediate subtype. Results: Of 391 mCRPC metastasis (53% bone, 26% node, 12% liver, 9% other soft tissue), 295(75%) yielded cancer. Overall, 89% of the bx contained a single histologic subtype: pure adeno in 156(53%); pure t-SCNC in 35(12%). A novel morphologically distinct subtype, IAC, with features of both tSCNC and adeno was seen in 72(24%). Samples comprised of two subtypes made up 32(11%) of all bx. Overall, 50(17%) of bx had a t-SCNC component. TP53 and/or RB1 loss of function variants were significantly more frequent in t-SCNC. NGS revealed no difference between adeno and IAC. LDA classified IAC as intermediate between adeno and t-SCNC 93% of the time, across 100 bootstrap replicates, significantly better than the 33% expected by chance (p <10−17). Conclusions: Nearly half of mCRPC bx exhibit non-adeno features with t-SCNC found in 17%. IAC is a reproducible mCRPC histologic subtype found in 24% of bx, with a gene expression signature that is intermediate to adeno and t-SCNC, and targeted NGS results similar to adeno. Understanding the role of IAC in disease evolution and resistance is critical for improving outcomes in mCRPC. Clinical trial information: NCT02432001.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".