Immunologic and genomic characterization of high grade serous ovarian cancer (HGSOC) in patients (pts) treated with pembrolizumab (Pembro) in the phase II INSPIRE trial.
Bibliographic record
Abstract
5581 Background: Checkpoint inhibitors have shown to be effective in different tumors and are under investigation in HGSOC. Methods: INSPIRE (NCT02644369) is a prospective multi-cohort study investigating tumor genomic and immune landscapes in pts treated with Pembro at 200 mg IV Q3W. Patients underwent tumor biopsy pre, on-treatment and at progression for DNA/RNA sequence, immune-profile, and PD-L1 expression by immunohistochemistry (IHC). Serial blood samples for immunophenotyping were collected. Correlative data are available for 6 pts: 3 with shrinkage in target lesion and 3 with progressive disease (PD). Results: At interim analysis as of January 2017, 18 pts with HGSOC have been enrolled and 16 have platinum-resistant disease, with median 3 prior lines of treatment (range 1-7). Of 14 evaluable pts, best response by RECIST 1.1 was stable disease (SD) in 5 (36%) and PD in 9 (64%). Mean Tumor Proportion Score of PD-L1 by IHC (Qualtek) was 6.4% (range 0-30%). Grade 3/4 adverse events possibly related to Pembro were observed in 4/18 (22%) pts; none was fatal and the most common were fatigue and hyponatremia. Preliminary correlative data showed no significant change in CD4, CD8 and myeloid-derived suppressor cells in peripheral blood after Pembro treatment. Mean PD-1 expression on CD4 and CD8 T cells on baseline tumor tissue (measured as product of PD-1+ cells and the per cell expression of PD-1 [% of mean fluorescence intensity]) was significantly higher in pts with tumor shrinkage compared to pts with PD (CD4: 2658 vs 678, p = .02; CD8: 1999 vs 451, p = .048). Genomic analysis of baseline tumor tissue was available for 3 pts with tumor shrinkage and 2 with PD. Mean mutation burden was higher for pts with tumor shrinkage (2.38 vs 1.0 mutations/Mb covered). The pt with the longest SD in our cohort (6 months) had the highest mutation burden (2.72), including somatic POLE (c.6331-6C > G) and germline BRCA2mutations. Conclusions: In HGSOC, pts with higher PD-1 level on tumor CD4 and CD8 T cells and higher mutation burden at baseline may have a better outcome following treatment with Pembro. POLE mutation is rare in HGSOC but may correlate with checkpoint inhibitor activity. Clinical trial information: NCT02644369.
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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 | 0.001 |
| 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 | 0.000 |
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".