Joseph Celestino

Long-Term Follow-up of Levonorgestrel Intrauterine Device for Atypical Hyperplasia and Early Endometrial Cancer Reveals Relapse Characterized by Immune Exhaustion

Abstract Purpose: Nonsurgical treatment options are increasingly needed for endometrial atypical hyperplasia (AH) and endometrioid endometrial cancer (EEC). Despite promising initial response rates, prospective long-term data and determinants for relapse are limited. Materials and Methods: Follow-up data from patients in our prospective phase II trial of levonorgestrel intrauterine device (LIUD) for AH/G1EEC were collected from medical records. Spatial transcriptomics (Nanostring GeoMX digital spatial profiling) with in silico cell type deconvolution and pathway analyses were employed on longitudinal biopsy samples from five patients across pre-treatment, on-treatment, and relapse. Results: Of 43 participants exhibiting initial response to LIUD, 41 had follow-up data. Sixteen (39%) experienced relapse. Clinical factors associated with shorter response duration included younger age, initial diagnosis of G1EEC, lack of response at 6 months, premenopausal status, and Hispanic ethnicity (P < 0.05), but only 6-month response status remained a significant predictor in a multivariate model (P = 0.023). LIUD increased abundance of NK cells (ΔMCP-counter score = 46.13, FDR = 0.004) and cytotoxic lymphocytes (ΔMCP-counter score = 277.67, FDR = 0.004), as well as lymphocyte cytotoxicity markers PRF1 (log2FC = 1.62, FDR = 0.025) and GZMA (log2FC = 2.47, FDR = 0.008). NK cells were reduced at relapse (ΔMCP-counter score = −55.96, FDR = 0.02). Immune-related pathways (IFNα response and TGFβ signaling) were enriched at relapse (FDR < 0.05). IDO1 expression, reflecting immune exhaustion, was upregulated at relapse (FDR < 0.05). Conclusions: Upfront resistance and relapse after initial response to LIUD for AH/G1EEC impacts nearly half of patients, remaining a major hurdle for nonsurgical treatment of AH/G1EEC. Molecular studies evaluating longitudinal biopsies from a small cohort implicate immune mechanisms at relapse, including reversal of progestin-related immunomodulation and increased immune exhaustion. See related commentary by Johannet and Friedman, p. 5001

Comparative Tumor Microenvironment Analysis of Primary and Recurrent Ovarian Granulosa Cell Tumors

Abstract Adult-type granulosa cell tumors (aGCT) are rare ovarian sex cord tumors with few effective treatments for recurrent disease. The objective of this study was to characterize the tumor microenvironment (TME) of primary and recurrent aGCTs and to identify correlates of disease recurrence. Total RNA sequencing (RNA-seq) was performed on 24 pathologically confirmed, cryopreserved aGCT samples, including 8 primary and 16 recurrent tumors. After read alignment and quality-control filtering, DESeq2 was used to identify differentially expressed genes (DEG) between primary and recurrent tumors. Functional enrichment pathway analysis and gene set enrichment analysis was performed using “clusterProfiler” and “GSVA” R packages. TME composition was investigated through the analysis and integration of multiple published RNA-seq deconvolution algorithms. TME analysis results were externally validated using data from independent previously published RNA-seq datasets. A total of 31 DEGs were identified between primary and recurrent aGCTs. These included genes with known function in hormone signaling such as LHCGR and INSL3 (more abundant in primary tumors) and CYP19A1 (more abundant in recurrent tumors). Gene set enrichment analysis revealed that primarily immune-related and hormone-regulated gene sets expression was increased in recurrent tumors. Integrative TME analysis demonstrated statistically significant depletion of cancer-associated fibroblasts in recurrent tumors. This finding was confirmed in multiple independent datasets. Implications: Recurrent aGCTs exhibit alterations in hormone pathway gene expression as well as decreased infiltration of cancer-associated fibroblasts, suggesting dual roles for hormonal signaling and TME remodeling underpinning disease relapse.

A Blood-Based Metabolite Panel for Distinguishing Ovarian Cancer from Benign Pelvic Masses

Abstract Purpose: To assess the contributions of circulating metabolites for improving upon the performance of the risk of ovarian malignancy algorithm (ROMA) for risk prediction of ovarian cancer among women with ovarian cysts. Experimental Design: Metabolomic profiling was performed on an initial set of sera from 101 serous and nonserous ovarian cancer cases and 134 individuals with benign pelvic masses (BPM). Using a deep learning model, a panel consisting of seven cancer-related metabolites [diacetylspermine, diacetylspermidine, N-(3-acetamidopropyl)pyrrolidin-2-one, N-acetylneuraminate, N-acetyl-mannosamine, N-acetyl-lactosamine, and hydroxyisobutyric acid] was developed for distinguishing early-stage ovarian cancer from BPM. The performance of the metabolite panel was evaluated in an independent set of sera from 118 ovarian cancer cases and 56 subjects with BPM. The contributions of the panel for improving upon the performance of ROMA were further assessed. Results: A 7-marker metabolite panel (7MetP) developed in the training set yielded an AUC of 0.86 [95% confidence interval (CI): 0.76–0.95] for early-stage ovarian cancer in the independent test set. The 7MetP+ROMA model had an AUC of 0.93 (95% CI: 0.84–0.98) for early-stage ovarian cancer in the test set, which was improved compared with ROMA alone [0.91 (95% CI: 0.84–0.98); likelihood ratio test P: 0.03]. In the entire specimen set, the combined 7MetP+ROMA model yielded a higher positive predictive value (0.68 vs. 0.52; one-sided P < 0.001) with improved specificity (0.89 vs. 0.78; one-sided P < 0.001) for early-stage ovarian cancer compared with ROMA alone. Conclusions: A blood-based metabolite panel was developed that demonstrates independent predictive ability and complements ROMA for distinguishing early-stage ovarian cancer from benign disease to better inform clinical decision making.

Gain-of-Function Chromatin Remodeling Activity of Oncogenic FOXL2C134W Reprograms Glucocorticoid Receptor Occupancy to Drive Granulosa Cell Tumors

Abstract Adult type ovarian granulosa cell tumors (AGCT) are rare malignancies with the near universal c.C402G (p.Cys134Trp) somatic mutation in FOXL2, a forkhead box family transcription factor important for ovarian function. Relapsed AGCT is incurable, but the mechanism of the unique FOXL2 mutation could confer therapeutic vulnerabilities. To identify FOXL2C134W-dependent pharmacologic synergies, we created and characterized endogenous FOXL2 isogenic AGCT cells and an AGCT tumoroid biobank. A drug screen identified that glucocorticoids promote FOXL2C134W-dependent AGCT growth. Epigenetic investigation revealed that the Cys134Trp mutation exposes latent DNA sequence–specific chromatin remodeling activity in FOXL2. FOXL2C134W-dependent chromatin remodeling activity redirected glucocorticoid receptor chromatin occupancy to drive hyaluronan synthase 2 gene expression and increase extracellular hyaluronan secretion. Treatment of AGCT models with hyaluronidase reduced viability, and dexamethasone rescued this effect. Combinatorial drug–drug interaction experiments demonstrated that dexamethasone antagonizes the potency of paclitaxel, a chemotherapy agent frequently used in the treatment of AGCT. Thus, gain-of-function pioneering activity contributes to the oncogenic mechanism of FOXL2C134W and creates a potentially targetable synergy with glucocorticoid signaling. Significance: Glucocorticoids promote granulosa cell tumor growth via epigenetic coregulation with the disease driver FOXL2C134W, providing mechanistic insight into disease oncogenesis and uncovering a potential treatment strategy.

Combination Therapy with Copanlisib and Niraparib in Patients with Recurrent Endometrial and Ovarian Cancer (COPANIRA): Efficacy, Toxicity, and Translational Insights

Abstract Purpose: Patients with recurrent endometrial or ovarian cancer have poor survival outcomes. We evaluated the clinical efficacy and toxicity of copanlisib [a phosphatidylinositol 3-kinase (PI3K) inhibitor] and niraparib [a poly (ADP-ribose) polymerase inhibitor (PARPi)] in this patient population with translational insights. Patients and Methods: This was a phase Ib trial. Copanlisib was administered intravenously on days 1, 8, and 15 of a 28-day cycle, and niraparib was given orally once daily. Four dose levels were explored over a dose-limiting toxicity (DLT) window of 28 days. The primary objective was to determine the recommended phase II dose (RP2D) of this combination. Secondary objectives included safety, objective response rate (ORR), and pharmacokinetics. Tumor biopsies were analyzed using reverse phase protein array (RPPA) to identify molecular correlates of response. Results: Thirty patients were enrolled. An RP2D was not established due to DLTs, most commonly a grade 3 maculopapular rash attributed to copanlisib. The ORR was 12.5% (95% confidence interval, 2.8%–33.6%). RPPA was performed on tumors from eight patients. PI3K pathway activity did not correlate with PI3K mutational status. Nineteen proteins were differentially expressed between patients with stable disease and those with progressive disease; many were substrates of Akt (protein kinase B), implicating downstream PI3K signaling in response. Conclusions: The combination of copanlisib and niraparib demonstrated limited tolerability, and the ORR was modest. However, functional proteomic analyses identified candidate biomarkers—particularly Akt pathway substrates—which may inform future strategies to optimize PI3K and PARPi combinations.