Andrew C Nelson

Implementation of endometrial cancer molecular subtyping into a hybrid community-academic practice

Abstract Objectives We sought to confirm utility of our institution’s modified Proactive Molecular Risk Classifier for Endometrial Cancer protocol in our daily practice, which includes mismatch repair (MMR), p53, and L1 cell adhesion molecule (L1CAM) immunohistochemistry with in-house next-generation sequencing for POLE, TP53, and CTNNB1. Methods We conducted a retrospective review of all patients in our institution who underwent primary endometrial carcinoma resection from the year prior to protocol implementation (PRE; October 1, 2020, to September 30, 2021) through first year of implementation (POST; October 1, 2021, to September 30, 2022) to compare the distribution of molecular and traditional staging factors using GOG-249 criteria to assign clinical risk. Results In total, 136 of 260 PRE patients were classified as clinically low risk (LR), of whom 31 were MMR deficient. Of the 157 LR POST patients with endometrioid-type carcinoma, 45 were MMR deficient, 5 were POLE mutant, 5 were TP53 mutant, 56 were of no specific molecular profile (NSMP), and 46 did not receive full protocol testing. Of all 79 POST NSMP endometrioid-type cases, 18 were CTNNB1 mutated and 8 showed L1CAM expression. Conclusions Our protocol identified 22 (14%) of 157 LR tumors that harbored incipient intermediate- to high-risk molecular aberrations in TP53, CTNNB1, or L1CAM. Moving forward, results of ongoing trials assessing adjuvant therapy decisions based on molecular classification are necessary to confirm protocol utility and identify appropriate modifications.

Pilot Study of Daily Exemestane in Women with Endometrial Intraepithelial Neoplasia or Low-Grade Endometrial Cancer

Abstract Purpose: To evaluate exemestane, an aromatase inhibitor, as a preventive intervention for endometrial cancer. Experimental Design: This is a multicenter, single-arm, “window of opportunity” pilot study of exemestane (25 mg daily for 21–42 days) in postmenopausal individuals undergoing hysterectomy for endometrial intraepithelial neoplasia (EIN) or low-grade endometrial cancer. The primary objective is to determine the change in proliferation, measured by Ki-67 expression, in pre- and posttreatment endometrial tissue specimens. Secondary outcomes include measurement of circulating serum estradiol and progesterone levels, pathologic response, tissue biomarkers, safety, and adverse effects. Results: Forty participants were accrued to the study. The mean body mass index was 40.3 (range, 22.8–60.5, SD = 9.8). Preoperative diagnoses included EIN (n = 11, 27.5%), grade 1 endometrial cancer (n = 26, 65%), and grade 2 endometrial cancer (n = 3, 7.5%). Median Ki-67 score decreased from 40.7% [IQR (33.9, 50.3)] at baseline to 18.1% [IQR (8.8, 31.8)] at surgery, representing a median absolute change from baseline of 20.4% [IQR (−29.9, −6.7), P < 0.001]. In a matched historic control cohort, participants also had a decrease in Ki-67 score with a median absolute change from baseline of −6.7% [IQR (−12.7, −1.3), P< 0.001]. However, the decrease in Ki-67 was greater in the study participants than the historic controls, with a median difference between the groups of −13.4% [IQR (−23.3, 6.9), P ≤ 0.01]. Both tissue estrogen receptor and progesterone receptor expression declined significantly with exemestane treatment (P < 0.001). However, serum estradiol levels did not change between baseline and after treatment (P = 0.16). Conclusions: In this pilot study, exemestane demonstrated antiproliferative effects in EIN and low-grade endometrial cancer. This agent warrants further evaluation for the prevention of endometrial cancer.

Multiomic Analysis of Subtype Evolution and Heterogeneity in High-Grade Serous Ovarian Carcinoma

Abstract Multiple studies have identified transcriptome subtypes of high-grade serous ovarian carcinoma (HGSOC), but their interpretation and translation are complicated by tumor evolution and polyclonality accompanied by extensive accumulation of somatic aberrations, varying cell type admixtures, and different tissues of origin. In this study, we examined the chronology of HGSOC subtype evolution in the context of these factors using a novel integrative analysis of absolute copy-number analysis and gene expression in The Cancer Genome Atlas complemented by single-cell analysis of six independent tumors. Tumor purity, ploidy, and subclonality were reliably inferred from different genomic platforms, and these characteristics displayed marked differences between subtypes. Genomic lesions associated with HGSOC subtypes tended to be subclonal, implying subtype divergence at later stages of tumor evolution. Subclonality of recurrent HGSOC alterations was evident for proliferative tumors, characterized by extreme genomic instability, absence of immune infiltration, and greater patient age. In contrast, differentiated tumors were characterized by largely intact genome integrity, high immune infiltration, and younger patient age. Single-cell sequencing of 42,000 tumor cells revealed widespread heterogeneity in tumor cell type composition that drove bulk subtypes but demonstrated a lack of intrinsic subtypes among tumor epithelial cells. Our findings prompt the dismissal of discrete transcriptome subtypes for HGSOC and replacement by a more realistic model of continuous tumor development that includes mixtures of subclones, accumulation of somatic aberrations, infiltration of immune and stromal cells in proportions correlated with tumor stage and tissue of origin, and evolution between properties previously associated with discrete subtypes. Significance: This study infers whether transcriptome-based groupings of tumors differentiate early in carcinogenesis and are, therefore, appropriate targets for therapy and demonstrates that this is not the case for HGSOC.

GLS1 is a Protective Factor in Patients with Ovarian Clear Cell Carcinoma and its Expression Does Not Correlate with ARID1A-mutated Tumors

Targeting glutamine metabolism has emerged as a novel therapeutic strategy for several human cancers, including ovarian cancer. The primary target of this approach is the kidney isoform of glutaminase, glutaminase 1 (GLS1), a key enzyme in glutamine metabolism that is overexpressed in several human cancers. A first-in-class inhibitor of GLS1, called CB839 (Telaglenastat), has been investigated in several clinical trials, with promising results. The first clinical trial of CB839 in platinum-resistant patients with ovarian cancer is forthcoming. ARID1A-mutated ovarian clear cell carcinoma (OCCC) is a relatively indolent and chemoresistant ovarian cancer histotype. In OCCC-derived cells ARID1A simultaneously drives GLS1 expression and metabolism reprograming. In ARID1A-mutated OCCC-derived mouse models, loss of ARID1A corresponds to GLS1 upregulation and increases sensitivity to GLS1 inhibition. Thus, targeting of GLS1 with CB839 has been suggested as a targeted approach for patients with OCCC with tumors harboring ARID1A mutations. Here, we investigated whether GLS1 is differentially expressed between patients with OCCC whose tumors are ARID1A positive and patients whose tumors are ARID1A negative. In clinical specimens of OCCC, we found that GLS1 overexpression was not correlated with ARID1A loss. In addition, GLS1 overexpression was associated with better clinical outcomes. Our findings have implications for human trials using experimental therapeutics targeting GLS1. Significance: GLS1 differential expression in patients with OCCC with or without ARID1A mutations is significant because a clinical trial with a GLS1 inhibitor is forthcoming. Tumors without ARID1A have low levels of GLS1 and GLS1 expression is associated to better outcome. Thus, blockade of GLS1 could be counterproductive for patients with OCCC.