Deanna Glassman

TERT promoter mutations and survival outcomes in adult-type granulosa cell tumors

To evaluate survival outcomes among patients with adult-type granulosa cell tumors who have telomerase reverse transcriptase (TERT) promoter mutations. This is a retrospective cohort study using the MD Anderson Rare Gynecologic Malignancy Registry. Patients with adult granulosa cell tumors who underwent molecular testing for TERT promoter and FOXL2 c.C402G mutations were included. We used descriptive statistics to compare demographic and clinical variables and estimated progression-free and overall survival with Kaplan-Meier curves. Cox proportional hazards regression and log-rank tests were employed for comparisons, with multivariable analyses adjusting for various factors. Among 70 patients, 28 (40%) had TERT+ tumors. The median age at diagnosis was 40 years (range 12-71) for TERT- patients and 46 years (range 25-76) for TERT+ patients. At diagnosis, 22 (63%) of 35 TERT- patients were stage I, 10 (29%) stage II, and 3 (9%) stage III, while in the TERT+ group, 17/23 (74%) were stage I, 3 (13%) stage II, and 3 (13%) stage II. Univariable analysis showed no difference in time from diagnosis to first recurrence (p=0.19) and from first recurrence to second recurrence (p=0.24) based on tumor TERT status. The median time from first to second recurrence in the TERT- group was 27.3 months (95% CI 14.1 to 40.0) and in the TERT+ group was 14.8 months (95% CI 8.1 to 21.0). There was no observed difference in overall survival between the groups (HR=0.53; 95% CI 0.19 to 1.45; p=0.21).Multivariable analysis adjusting for age at diagnosis, TERT promoter mutation status, systemic chemotherapy, and stage demonstrated a significant difference in progression-free survival based on TERT mutation status (HR=2.89; 95% CI 1.32 to 6.36). After adjustment for covariates, patients with adult granulosa cell tumors and TERT+ tumors had shorter progression-free survival after first recurrence. TERT promoter mutations may identify a subset of patients with recurrent adult granulosa cell tumors and less favorable outcomes.

Diagnostic and treatment considerations for synchronous cancer of the ovary and endometrium

Characterizing morphologic subtypes of high-grade serous ovarian cancer by CT: a retrospective cohort study

A novel classification system of high-grade serous ovarian carcinoma based on gross morphology observed at pre-treatment laparoscopy was recently defined. The purpose of this study was to identify radiographic features unique to each morphologic subtype. This retrospective study included 109 patients with high-grade serous ovarian cancer who underwent pre-operative computed tomography (CT) scanning and laparoscopic assessment of disease burden between 1 April 2013 and 5 August 2015. Gross morphologic subtype had been previously assigned by laparoscopy. Two radiologists independently reviewed CT images for each patient, categorized disease at eight anatomic sites, and assessed for radiographic characteristics of interest: large infiltrative plaques, mass-like metastases, enhancing peritoneal lining, architectural distortion, fat stranding, calcifications, and lymph node involvement. Demographic and clinical information was summarized with descriptive statistics and compared using Student's t-tests, χ² tests, or Fisher exact tests as appropriate; kappa statistics were used to assess inter-reader agreement. Certain radiographic features were found to be associated with gross morphologic subtype. Large infiltrative plaques were more common in type 1 disease (88.7% (47/53) vs 71.4% (25/35), p=0.04), while mass-like metastases were more often present in type 2 disease (48.6% (17/35) vs 22.6% (12/53), p=0.01). Additionally, radiographic presence of disease at the falciform ligament was more common in type 1 morphology (33.9% (19/56) vs 13.2% (5/38), p=0.02). Morphologic subtypes of high-grade serous ovarian cancer were associated with specific CT findings, including the presence of large infiltrative plaques, mass-like metastases, and falciform ligament involvement.

Clinical implications of tumor‐based next‐generation sequencing in high‐grade epithelial ovarian cancer

AbstractBackgroundTumor‐based next‐generation sequencing is used inconsistently as a tool to tailor treatment of ovarian cancer, yet beyond detection of somatic BRCA1 and BRCA2 mutations, the clinical benefit is not well established. This study aimed to assess the clinical relevance of tumor‐based next‐generation sequencing (tbNGS) in patients with ovarian cancer.MethodsThis retrospective study included patients with high‐grade epithelial ovarian carcinoma. tbNGS results were identified in the electronic medical record using optical character recognition and natural language processing. Genetic, clinical, and demographic information was collected. Progression‐free survival (PFS) and overall survival were calculated and compared using log‐rank tests. Multivariate Cox regression and clustering analyses were used to identify patterns of genetic alterations associated with survival.ResultsOf 1092 patients in the described population, 409 (37.5%) had tbNGS results. Nearly all (96.1% [393/409]) had one or more genetic alterations. In 25.9% (106/409) of patients, an alteration that aligned with a targeted treatment was identified, and in an additional 48.7% (199/409), tbNGS results suggested eligibility for an investigational agent or clinical trial. The most frequent alterations were TP53, PIK3CA, and NF1 mutations, and CCNE1 amplification. Together, BRCA1 and BRCA2 mutations were associated with longer PFS (hazard ratio [HR], 0.62; 95% confidence interval [CI], 0.42–0.92; p = .02), whereas AKT2 amplification was associated with shorter PFS (HR, 3.86; 95% CI, 1.002–14.88; p < .05). Multivariate Cox regression and clustering analyses identified several combinations of genetic alterations that corresponded to outcomes in patients with high‐grade serous carcinoma.ConclusionstbNGS often yields clinically relevant information. Detailed analysis of population‐level tumor genomics may help to identify therapeutic targets and guide development of clinical decision support tools.Plain Language Summary Although more and more patients with ovarian cancer are undergoing tumor‐based next‐generation sequencing to identify genetic mutations in their tumors, the benefits of such testing are not well established. In a group of over 400 patients with ovarian cancer who underwent tumor‐based next‐generation sequencing in the course of their treatment, nearly all patients had one or more genetic alterations detected, and one out of four patients had a mutation that qualified them for a personalized treatment option.

Rational Combination of CRM1 Inhibitor Selinexor and Olaparib Shows Synergy in Ovarian Cancer Cell Lines and Mouse Models

Abstract CRM1 inhibitors have demonstrated antitumor effects in ovarian and other cancers; however, rational combinations are largely unexplored. We performed a high-throughput drug library screen to identify drugs that might combine well with selinexor in ovarian cancer. Next, we tested the combination of selinexor with the top hit from the drug screen in vitro and in vivo. Finally, we assessed for mechanisms underlying the identified synergy using reverse phase protein arrays (RPPA). The drug library screen assessing 688 drugs identified olaparib (a PARP inhibitor) as the most synergistic combination with selinexor. Synergy was further demonstrated by MTT assays. In the A2780luc ip1 mouse model, the combination of selinexor and olaparib yielded significantly lower tumor weight and fewer tumor nodules compared with the control group (P < 0.04 and P < 0.03). In the OVCAR5 mouse model, the combination yielded significantly fewer nodules (P = 0.006) and markedly lower tumor weight compared with the control group (P = 0.059). RPPA analysis indicated decreased expression of DNA damage repair proteins and increased expression of tumor suppressor proteins in the combination treatment group. Collectively, our preclinical findings indicate that combination with selinexor to expand the utility and efficacy of PARP inhibitors in ovarian cancer warrants further exploration.

Endothelial p130cas confers resistance to anti-angiogenesis therapy

Anti-angiogenic therapies, such as anti-VEGF antibodies (AVAs), have shown promise in clinical settings. However, adaptive resistance to such therapies occurs frequently. We use orthotopic ovarian cancer models with AVA-adaptive resistance to investigate the underlying mechanisms. Genomic profiling of AVA-resistant tumors guides us to endothelial p130cas. We find that bevacizumab induces cleavage of VEGFR2 in endothelial cells by caspase-10 and that VEGFR2 fragments internalize into the nucleus and autophagosomes. Nuclear VEGFR2 and p130cas fragments, together with TNKS1BP1 (tankyrase-1-binding protein), initiate endothelial cell death. Blockade of autophagy in AVA-resistant endothelial cells retains VEGFR2 at the membrane with bevacizumab treatment. Targeting host p130cas with RGD (Arg-Gly-Asp)-tagged nanoparticles or genomic ablation of vascular p130cas in p130cas