Winterhoff, Boris

Abstract Introduction: Epigenetic modulators may sensitize platinum-resistant ovarian cancer (PROC) to immune checkpoint inhibition by reprogramming the tumor microenvironment. Methods: We report clinical and translational findings from a phase II non-randomized study of pembrolizumab and oral azacitidine in 34 women with PROC (NCT02900560). Key eligibility criteria included age ≥ 18 years, ECOG performance status of 0-1, measurable disease and platinum-resistant, histologically confirmed epithelial ovarian cancer, fallopian tube carcinoma or primary peritoneal carcinoma. Primary endpoints included safety, tolerability, overall response rate (ORR), and disease control rate (DCR). Secondary endpoints included CA-125 response. The effect of combined epigenetic modulation and immunotherapy was evaluated by transcriptomic analyses of 72 serially biopsied tumors. Target gene expression analyses were used to identify differentially expressed genes and pathways, and bulk RNA sequencing was used for gene set enrichment analyses (GSEA) and to infer T cell receptor (TCR) assemblies. Results: The combination of azacitidine and pembrolizumab was moderately well tolerated, and the most common grade 3-4 adverse events were gastrointestinal side effects and anemia. ORR was 2.9% and DCR was 50%; with 3 of the 27 evaluable patients attaining a CA-125 response. Differential gene expression analyses revealed an upregulation of inflammatory and cytolytic genes (FDR-adjusted p=0.005) and co-inhibitory checkpoints (p=0.005) 6 weeks on-therapy. Upregulation of interferon signaling (p=0.006), antigen presentation (p=0.003), costimulatory signaling (p=0.002), and immune cell adhesion and migration (p=0.005) pathways were prominent on-therapy, together with an increase in CD8+ T-cell density (p=0.05). GSEA analyses were concordant with these findings, showing enrichment of immune and inflammatory gene sets on-therapy and upregulation of gene sets linked to IFN-γ response, natural killer cell-mediated cytotoxicity, and immunoregulatory interactions (p < 10e-13). Findings were not confounded by histological subtype. TCR abundance analyses evaluating significant TCR clonotypic expansions and regressions showed that intra-tumoral TCR repertoires were reshaped on-therapy. Furthermore, patients with a CA-125 and/or clinical response showed enrichment of hallmark inflammatory gene sets at baseline (p < 10e-10) and of adaptive and conserved immune response gene sets on therapy (p < 10e-09). Conclusions: Our findings highlight the potential of epigenetic modulators to reshape the tumor microenvironment of PROC toward a more inflammatory phenotype and may point to approaches to augment immunotherapy response. Citation Format: Blair V. Landon, Julia L. Boland, Andrea E. Wahner Hendrickson, Deborah K. Armstrong, Boris Winterhoff, Jaime Wehr, Akshaya V. Annapragada, Christopher Cherry, Archana Balan, Guneet Kaleka, Victor E. Velculescu, Stephen B. Baylin, Cynthia A. Zahnow, Dennis J. Slamon, Gottfried E. Konecny, John A. Glaspy, Valsamo (Elsa) Anagnostou. Pembrolizumab and epigenetic modification with azacitidine reprogram the tumor microenvironment of platinum-resistant epithelial ovarian cancer: clinical and translational findings from a phase II study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(8_Suppl):Abstract nr CT260.

Abstract BRCA-associated homologous recombination deficiency (HRD) is present in ~ 50% of high-grade serous carcinomas (HGSC) and predicts sensitivity to platinum-based therapy. However, there is little understanding of why some patients with BRCA-deficient tumors experience unexpectedly poor outcomes. We profiled 154 tumors, enriched for patients with BRCA-deficient tumors that experienced short overall survival (≤ 3 years, n = 42), using whole-genome, transcriptome, and methylation analyses. All but one BRCA-deficient tumor exceeded an accepted HRD genomic scarring threshold. However, patients with BRCA1-deficient HGSC with a more elevated HRD score survived significantly longer. Patients with BRCA2-deficient HGSC and loss of NF1 survived twice as long as those without NF1 loss, whereas PIK3CA or RAD21 amplification defined BRCA2-deficient HGSC with exceptionally short survival. BRCA1-deficient tumors in short survivors had evidence of immunosuppressive c-kit signaling and EMT. In a large HGSC cohort (n = 1,389) including 282 individuals with pathogenic germline BRCA variants (gBRCApv), the location of the mutation within functional domains stratified clinical outcomes. Notably, residual disease after primary surgery had limited prognostic effect in gBRCApv-carriers compared to non-carriers. Our findings indicate that tumor HR proficiency in the context of therapy response and survival is not a binary property, and highlight genomic and immune modifiers of outcomes in BRCA-deficient HGSC.

3082 Background: CLDN6, a member of the claudin family of tight junction proteins, is expressed at high levels in multiple human malignancies and has little to no expression in normal tissues. This expression profile makes CLDN6 an ideal target for development of new therapeutics. TORL-1-23 is first-in-class ADC targeting the tumor-specific antigen CLDN6. Methods: TORL123-001 (NCT05103683) is an ongoing, 2-part, first in human study to characterize the safety, tolerability, dose-limiting toxicities (DLTs), maximum tolerated dose (MTD), and recommended phase 2 dose (RP2D) of TORL-1-23 monotherapy in participants with advanced solid tumors. Serum pharmacokinetics (PK), immunogenicity and clinical efficacy are also assessed. TORL-1-23 is administered as a 30-minute IV infusion once every 3 weeks in 21-day cycles. During Part 1 (Dose Escalation), cohorts of 1 to 6 participants are evaluated at each dose level according to an accelerated titration design. In Part 2 (Dose Expansion), several cohorts of patients with CLDN6-expressing cancers will be evaluated to confirm the RP2D in ovarian cancer, NSCLC, and other CLDN6-expressing cancers using a CLDN6 IHC companion diagnostic. Results: As of 01FEB2023, 22 patients with ovarian (n=18), testicular (n=3), and endometrial (n=1) cancers were enrolled and treated across 8 dose levels ranging from 0.2 to 2.4 mg/kg IV every 3 weeks. 95% of pts had received ≥ 3 prior lines of treatment in the metastatic setting. The most common treatment-related adverse events were Gr1/2 fatigue (n=5), Gr1 peripheral neuropathy (n=4), and Gr1 nausea (n=3). No DLTs have been reported and no dose reductions have been required. Preliminary PK data demonstrate sustained exposure of TORL-1-23 ADC over the 21 day dosing interval and low levels of serum MMAE indicating low off-target MMAE exposure outside of tumor. Partial responses (PR) were observed in 4/17 efficacy evaluable participants with CLDN6+ disease (3 ovarian, 1 testicular). Dose escalation is ongoing and updated results will be presented. Conclusions: TORL-1-23 has a favorable safety/tolerability profile and PK characteristics with preliminary antitumor activity in pts with heavily-pretreated CLDN6-expressing ovarian and testicular cancers. Doses above the historic MTD for MMAE containing ADCs may be explored given the safety/tolerability and PK data observed up to 2.4 mg/kg. Dose finding is ongoing to identify the MTD and optimal doses for subsequent development. Clinical trial information: NCT05103683 .

Abstract Purpose: Gene expression–based molecular subtypes of high-grade serous tubo-ovarian cancer (HGSOC), demonstrated across multiple studies, may provide improved stratification for molecularly targeted trials. However, evaluation of clinical utility has been hindered by nonstandardized methods, which are not applicable in a clinical setting. We sought to generate a clinical grade minimal gene set assay for classification of individual tumor specimens into HGSOC subtypes and confirm previously reported subtype-associated features. Experimental Design: Adopting two independent approaches, we derived and internally validated algorithms for subtype prediction using published gene expression data from 1,650 tumors. We applied resulting models to NanoString data on 3,829 HGSOCs from the Ovarian Tumor Tissue Analysis consortium. We further developed, confirmed, and validated a reduced, minimal gene set predictor, with methods suitable for a single-patient setting. Results: Gene expression data were used to derive the predictor of high-grade serous ovarian carcinoma molecular subtype (PrOTYPE) assay. We established a de facto standard as a consensus of two parallel approaches. PrOTYPE subtypes are significantly associated with age, stage, residual disease, tumor-infiltrating lymphocytes, and outcome. The locked-down clinical grade PrOTYPE test includes a model with 55 genes that predicted gene expression subtype with >95% accuracy that was maintained in all analytic and biological validations. Conclusions: We validated the PrOTYPE assay following the Institute of Medicine guidelines for the development of omics-based tests. This fully defined and locked-down clinical grade assay will enable trial design with molecular subtype stratification and allow for objective assessment of the predictive value of HGSOC molecular subtypes in precision medicine applications. See related commentary by McMullen et al., p. 5271

5510 Background: Transcriptional profiling of ovarian cancers has proven to be complex. As such it has been difficult to validate existing signatures across studies. Cancer Genome Atlas (TCGA) researchers have identified four molecular subtypes of high-grade serous ovarian cancer (HGSOC). However, survival duration did not differ significantly for the TCGA subtypes. Potential limitations of the TCGA data include short clinical follow-up (45% were alive at the time of last follow-up) and the need to unify gene expression measures from multiple platforms. Methods: Clinically annotated stage-II–IV HGSOC samples (n = 175) with >70% tumor cell content were profiled using the Agilent Whole Human Genome 4 x 44K chip. To identify subtypes non-negative matrix factorization (NMF) of mRNA expression was performed using ~2000 genes with the highest variability across patients. In parallel differentially expressed genes were identified using the Rosetta Similarity Search Tool as well as analysis of variance based on genes known to be involved in epithelial to mesenchymal transition. Results: Median follow-up time was 35 months (range, 0–202 months, 12% were alive at the time of last follow-up). NMF clustering confirmed four HGSOC subtypes (immunoreactive, differentiated, proliferative, and mesenchymal) on the basis of gene content in the clusters. Pathway signatures with therapeutic potential were identified for individual or multiple subtypes. Survival differed significantly between the four molecular subgroups in univariate (Hazard Ratio [HR] 2.4, 95% CI 1.5-4.1, p = 0.007) and multivariate (HR 2.3, 95% CI 1.3-4.0, p = 0.003) analyses when accounting for age, stage, grade, and postoperative residual tumor. Using the supervised clustering approach two distinct molecular subtypes of HGSOC based on epithelial and mesenchymal gene expression signatures were identified with significantly different survival outcomes. Conclusions: Here we independently validate and expand upon the molecular TCGA classification of HGSOC. The potential of these two prognostic classifiers may lie in their ability to recognize categories of patients that are more likely to respond to particular therapies.

Abstract Purpose: Predicting surgical outcome could improve individualizing treatment strategies for patients with advanced ovarian cancer. It has been suggested earlier that gene expression signatures (GES) might harbor the potential to predict surgical outcome. Experimental Design: Data derived from high-grade serous tumor tissue of FIGO stage IIIC/IV patients of AGO-OVAR11 trial were used to generate a transcriptome profiling. Previously identified molecular signatures were tested. A theoretical model was implemented to evaluate the impact of medically associated factors for residual disease (RD) on the performance of GES that predicts RD status. Results: A total of 266 patients met inclusion criteria, of those, 39.1% underwent complete resection. Previously reported GES did not predict RD in this cohort. Similarly, The Cancer Genome Atlas molecular subtypes, an independent de novo signature and the total gene expression dataset using all 21,000 genes were not able to predict RD status. Medical reasons for RD were identified as potential limiting factors that impact the ability to use GES to predict RD. In a center with high complete resection rates, a GES which would perfectly predict tumor biological RD would have a performance of only AUC 0.83, due to reasons other than tumor biology. Conclusions: Previously identified GES cannot be generalized. Medically associated factors for RD may be the main obstacle to predict surgical outcome in an all-comer population of patients with advanced ovarian cancer. If biomarkers derived from tumor tissue are used to predict outcome of patients with cancer, selection bias should be focused on to prevent overestimation of the power of such a biomarker. See related commentary by Handley and Sood, p. 9