Andrea Jewell

Few-Layer Graphene-Based Optical Nanobiosensors for the Early-Stage Detection of Ovarian Cancer Using Liquid Biopsy and an Active Learning Strategy

Ovarian cancer survival depends strongly on the time of diagnosis. Detection at stage 1 must be the goal of liquid biopsies for ovarian cancer detection. We report the development and validation of graphene-based optical nanobiosensors (G-NBSs) that quantify the activities of a panel of proteases, which were selected to provide a crowd response that is specific for ovarian cancer. These G-NBSs consist of few-layer explosion graphene featuring a hydrophilic coating, which is linked to fluorescently labeled highly selective consensus sequences for the proteases of interest, as well as a fluorescent dye. The panel of G-NBSs showed statistically significant differences in protease activities when comparing localized (early-stage) ovarian cancer with both metastatic (late-stage) and healthy control groups. A hierarchical framework integrated with active learning (AL) as a prediction and analysis tool for early-stage detection of ovarian cancer was implemented, which obtained an overall accuracy score of 94.5%, with both a sensitivity and specificity of 0.94.

Randomized Phase II Study of Bevacizumab with Weekly Anetumab Ravtansine or Weekly Paclitaxel in Platinum-Resistant/Refractory High-Grade Ovarian Cancer (NCI Trial)

Abstract Purpose: Mesothelin (MSLN) is highly expressed in high-grade serous/endometrioid ovarian cancers (HGOC). Anetumab ravtansine (AR) is an antibody–drug conjugate directed at the MSLN antigen with a tubulin polymerization inhibitor. We assessed the safety, activity, and pharmacokinetics of the combination AR/bevacizumab (Bev; ARB) versus weekly paclitaxel/Bev (PB) in patients with platinum-resistant/refractory HGOC (prrHGOC). Patients and Methods: Following a run-in phase I study to assess ARB safety, patients with prrHGOC with centrally confirmed MSLN-positive expression were randomized to ARB or PB (weekly paclitaxel 80 mg/m2 with Bev 10 mg/kg biweekly). Patients were stratified by platinum resistance/refractory and prior Bev. The primary endpoint was progression-free survival (PFS), and secondary endpoints were overall response rate, safety, and blood-based angiome biomarker assessment. A futility analysis was planned after 35 PFS events. Results: The combination of Bev (10 mg/kg) biweekly with AR (2.2 mg/kg) weekly was well tolerated. About phase II results, MSLN positivity was 88%, and 57 patients were randomized (28 ARB and 29 PB). Forty-two percentage of patients received prior Bev, and 23% were platinum-refractory. At futility analysis, the median PFS was 5.3 and 12.7 months for ARB and PB, respectively [P = 0.03; HR = 2.02 (1.06–3.86)]. The overall response rate was 21% with ARB and 65% with PB. The most common treatment-related grade ≥3 adverse events were anemia (18%) with ARB and neutropenia (24%) with PB. Higher baseline levels of circulating IL6 were associated with worse PFS, and its levels decreased with PB treatment. Conclusions: Our study stopped at interim analysis highlighting the benefit of PB in prrHGOC as the standard of care.

Functional Analysis of RE1 Silencing Transcription Factor as a Putative Tumor Suppressor in Human Endometrial Cancer

Uterine cancer is the most common gynecologic malignancy in the United States, with endometrioid endometrial adenocarcinoma (EC) being the most common histologic sub-type. Considering the molecular classifications of EC, efforts have been made to identify additional biomarkers that can assist in diagnosis, prognosis, and individualized therapy. We sought to explore the relationship of Repressor Element 1 (RE1) silencing transcription factor (REST), which downregulates neuronal genes in non-neuronal tissue, along with matrix metalloproteinase-24 (MMP24) and EC. We analyzed the expression of REST and MMP24 in 31 cases of endometrial cancer and 16 controls. We then explored the baseline expression of REST and MMP24 in two EC cell lines (Ishikawa and HEC-1-A) compared to a benign cell line (t-HESC) and subsequently evaluated proliferation, migration, and invasion in the setting of loss of REST gene expression. REST and MMP24 expression were significantly lower in human EC samples compared to control samples. REST was highly expressed in EC cell lines, but decreasing REST gene expression increased proliferation (FC: 1.13X, p < 0.0001), migration (1.72X, p < 0.0001), and invasion (FC: 7.77X, p < 0.05) in Ishikawa cells, which are hallmarks of cancer progression and metastasis. These findings elicit a potential role for REST as a putative tumor suppressor in EC.

Disparities in ovarian cancer survival at the only NCI-designated cancer center in Kansas

This study examined the impact of geographic distance on survival outcomes for patients receiving treatment for ovarian cancer at the only NCI-designated cancer center (NCI-CC) in Kansas. We identified ovarian cancer patients treated at the University of Kansas Cancer Center between 2010 and 2015. Demographic factors and clinical characteristics were abstracted. The main outcome measure was overall survival according to geographic distance from the institution. Kaplan Meier survival curves and Cox proportional hazard models were generated using SAS v9.4. 220 patients were identified. Survival analysis based on distance from the institution demonstrated that patients who lived ≤10 miles from the institution had worse overall survival (p = 0.0207) and were more likely to have suboptimal cytoreductive surgery (p = 0.0276). Lower estimated median income was also associated with a 1.54 increased risk of death, 95% CI (1.031-2.292), p = 0.0347. We determined that ovarian cancer survival disparities exist in our patient population. Lower rates of optimal cytoreductive surgery has been identified as a possible driver of poor prognosis for patients who lived in proximity to our institution.

Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer

Abstract High grade serous ovarian carcinoma (HGSOC) accounts for ~ 70% of ovarian cancer cases. Non-invasive, highly specific blood-based tests for pre-symptomatic screening in women are crucial to reducing the mortality associated with this disease. Since most HGSOCs typically arise from the fallopian tubes (FT), our biomarker search focused on proteins found on the surface of extracellular vesicles (EVs) released by both FT and HGSOC tissue explants and representative cell lines. Using mass spectrometry, 985 EV proteins (exo-proteins) were identified that comprised the FT/HGSOC EV core proteome. Transmembrane exo-proteins were prioritized because these could serve as antigens for capture and/or detection. With a nano-engineered microfluidic platform, six newly discovered exo-proteins (ACSL4, IGSF8, ITGA2, ITGA5, ITGB3, MYOF) plus a known HGSOC associated protein, FOLR1 exhibited classification performance ranging from 85 to 98% in a case–control study using plasma samples representative of early (including stage IA/B) and late stage (stage III) HGSOCs. Furthermore, by a linear combination of IGSF8 and ITGA5 based on logistic regression analysis, we achieved a sensitivity of 80% with 99.8% specificity and a positive predictive value of 13.8%. Importantly, these exo-proteins also can accurately discriminate between ovarian and 12 types of cancers commonly diagnosed in women. Our studies demonstrate that these lineage-associated exo-biomarkers can detect ovarian cancer with high specificity and sensitivity early and potentially while localized to the FT when patient outcomes are more favorable.