BMFBryan M. Fellman
Papers(4)
Long-Term Follow-up o…Surgical and Blood-Ba…Comparative Tumor Mic…Combination Therapy w…
Collaborators(10)
Joseph CelestinoShannon N. WestinBarrett C. LawsonSanghoon LeeAlexander J. LazarJennifer A. WargoAmir A. JazaeriAnil K. SoodKhalida M. WaniBhavana Singh
Institutions(2)
The University Of Tex…University of Texas M…

Papers

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

Surgical and Blood-Based Minimal Residual Disease in Patients with Ovarian Cancer after First-line Therapy: Clinical Outcomes and Translational Opportunities

Abstract Purpose: Minimal residual disease (MRD) after first-line treatment of advanced-stage ovarian cancer remains a long-standing barrier to cure. We investigated the prognostic and translational value of MRD detection by second-look laparoscopy (SLL) and ctDNA at the completion of first-line therapy. Experimental Design: Patients with high-grade epithelial ovarian cancer who had a complete clinical response to first-line therapy and underwent SLL and plasma collection for ctDNA were included. Progression-free survival (PFS) and overall survival (OS) were estimated based on MRD and clinicopathologic status. Spatial transcriptomics (GeoMx and Visium) and proteomics (CODEX) profiling were performed on serial samples from select patients. Results: Forty of 95 (42.1%) patients had surgically detected MRD, which was associated with worse PFS (median PFS 7.4 vs. 23.8 months; P < 0.001) and OS (median OS 33.9 vs. not reached; P < 0.001). SLL positivity was an independent negative prognostic factor for OS (HR, 4.40; 95% confidence interval, 1.37–14.21; P = 0.013) in multivariable analysis. Among 44 patients who underwent SLL and had ctDNA testing, 34% (15/44) were ctDNA-positive, which was associated with worse PFS (6.4 vs. 28.1 months; P < 0.001) and OS (32.4 months vs. not reached; P = 0.008). We demonstrated the feasibility of spatial multiomics in studying MRD and their ability to provide hypothesis-generating observations, implicating the upregulation of the hypoxia signaling pathway, expression of multiple druggable targets (CDK6, GLS, MSLN, ERBB2), and immune exclusion in MRD lesions. Conclusions: Approximately half of patients in clinical remission after first-line therapy have assessable MRD, which can inform prognosis, therapeutic target discovery, and clinical trials.

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.

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.

4Papers
87Collaborators