Hanbyoul Cho

Comparison of Adverse Events Between PARP Inhibitors in Patients with Epithelial Ovarian Cancer: A Nationwide Propensity Score Matched Cohort Study

Despite improvement in progression-free survival (PFS) with poly (ADP-ribose) polymerase (PARP) inhibitors (PARPi) as maintenance treatment for patients with epithelial ovarian cancer (EOC), a comparative analysis of clinical events of interest (CEIs) of different PARPi is scarce. This study aimed to compare the safety of different PARPi in patients with EOC. Through analyzing the Korean National Health Insurance Service from January 2009 to January 2022, this study involved BRCA-mutated, platinum-sensitive patients with EOC treated with olaparib (tablet), niraparib, and olaparib (capsule) as first-line or second-line maintenance treatment. CEIs were identified using International Statistical Classification of Diseases (ICD) 9/10 codes, with additional outcomes being dose modification and persistence. In the first-line maintenance treatment [118 niraparib, 104 olaparib (tablet) patients], no significant differences were noted in CEIs, dose reduction, or 6-month discontinuation rate. For second-line maintenance treatment [303 niraparib, 126 olaparib (tablet), and 675 olaparib (capsule) patients], niraparib was associated with a higher risk of hematologic CEIs, particularly anemia, compared with olaparib (tablet) (0.51 [0.26-0.98] and 0.09 [0.01-0.74], respectively), and higher rate of discontinuation rate at 6 months. Of note, patients over 60 years old showed an increased risk of CEIs with niraparib, as indicated by the hazard ratio divergence in restricted cubic spline plots. No differences were observed among the PARPi during first-line maintenance treatment. However, in the second-line maintenance treatment, significant differences were observed in the risk of experiencing CEIs, dose alteration possibilities, and discontinuation of PARPi between niraparib and olaparib (tablets). Moreover, our findings suggest that an age of 60 years may be a critical factor in selecting PARPi to reduce CEI incidence.

Serum Lipidome Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women

Abstract Background: Distinguishing ovarian cancer from other gynecological malignancies is crucial for patient survival yet hindered by non-specific symptoms and limited understanding of ovarian cancer pathogenesis. Accumulating evidence suggests a link between ovarian cancer and deregulated lipid metabolism. Most studies have small sample sizes, especially for early-stage cases, and lack racial/ethnic diversity, necessitating more inclusive research for improved ovarian cancer diagnosis and prevention. Methods: Here, we profiled the serum lipidome of 208 ovarian cancer, including 93 early-stage patients with ovarian cancer and 117 nonovarian cancer (other gynecological malignancies) patients of Korean descent. Serum samples were analyzed with a high-coverage liquid chromatography high-resolution mass spectrometry platform, and lipidome alterations were investigated via statistical and machine learning (ML) approaches. Results: We found that lipidome alterations unique to ovarian cancer were present in Korean women as early as when the cancer is localized, and those changes increase in magnitude as the diseases progresses. Analysis of relative lipid abundances revealed specific patterns for various lipid classes, with most classes showing decreased abundance in ovarian cancer in comparison with other gynecological diseases. ML methods selected a panel of 17 lipids that discriminated ovarian cancer from nonovarian cancer cases with an AUC value of 0.85 for an independent test set. Conclusions: This study provides a systemic analysis of lipidome alterations in human ovarian cancer, specifically in Korean women. Impact: Here, we show the potential of circulating lipids in distinguishing ovarian cancer from nonovarian cancer conditions.

Integrative Multi-Omics Analysis Reveals Molecular Signatures of Recurrence in Paired Primary and Recurrent High-Grade Serous Ovarian Cancer

High-grade serous ovarian cancer (HGSOC) is the most prevalent and aggressive form of epithelial ovarian cancer and is characterized by high recurrence rates and poor clinical outcomes. In this study, we identify molecular signatures associated with recurrence by conducting integrative transcriptomic and proteomic analyses on paired primary and recurrent HGSOC tissues from 34 patients. RNA sequencing and proteomic profiling revealed 185 differentially expressed genes (DEGs) and 36 differentially expressed proteins (DEPs) linked to recurrence. Pathway enrichment and Ingenuity pathway analyses highlighted the involvement of immune cell trafficking, cell signaling, and MAPK pathway activation in recurrent tumors. A survival analysis identified seven DEGs that correlated significantly with recurrence-free survival; among them, IL7R, IRF8, and PTPRC were upregulated in recurrent tumors and associated with poor prognosis, and NSG1 was downregulated and linked to favorable outcomes. Immunohistochemistry validated the differential expression of these markers at the protein level. The proteomic analysis demonstrated that recurrent tumor-specific DEGs are functionally linked to MAPK signaling. Co-expression analyses revealed dynamic regulatory interactions between the DEGs and DEPs, suggesting context-dependent molecular shifts during recurrence. This integrative multi-omics approach reveals that key molecular alterations underlie HGSOC recurrence and identifies IL7R, IRF8, PTPRC, and NSG1 as potential prognostic biomarkers and therapeutic targets. Our findings provide a foundation for targeted strategies to improve outcomes for patients with recurrent HGSOC.

High-Dose Selenium Induces Ferroptotic Cell Death in Ovarian Cancer

Selenium is a promising multi-target chemotherapeutic agent with controversial clinical results. Hence, reassessing the anticancer effects of Se is necessary to clearly understand the potential of high-dose selenium in cancer treatment. Here, we observed that high-dose sodium selenite (SS) significantly decreased the proliferation and increased the death of ovarian cancer cells, mediated by an increased generation of reactive oxygen species. Notably, high-dose SS decreased the levels of glutathione peroxidase (GPx), a selenoprotein with antioxidant properties, without altering other selenoproteins. Furthermore, high-dose SS triggered lipid peroxidation and ferroptosis, a type of iron-dependent cell death, due to dysregulated GPx4 pathways. We demonstrated that intravenous high-dose SS significantly reduced the tumor growth and weight in SKOV3-bearing mice. Consistent with our in vitro results, mice with SKOV3 cells treated with high-dose SS showed decreased GPx4 expression in tumors. Therefore, we highlight the significance of high-dose SS as a potential chemotherapeutic agent for ovarian cancer. High-dose SS-mediated ferroptotic therapy integrating glutathione depletion and ROS generation is a promising strategy for cancer therapy.

Clinical Significance of Tumor Infiltrating Lymphocytes in Association with Hormone Receptor Expression Patterns in Epithelial Ovarian Cancer

Hormone receptor expression patterns often correlate with infiltration of specific lymphocytes in tumors. Specifically, the presence of specific tumor-infiltrating lymphocytes (TILs) with particular hormone receptor expression is reportedly associated with breast cancer, however, this has not been revealed in epithelial ovarian cancer (EOC). Therefore, we investigated the association between hormone receptor expression and TILs in EOC. Here we found that ERα, AR, and GR expression increased in EOC, while PR was significantly reduced and ERβ expression showed a reduced trend compared to normal epithelium. Cluster analysis indicated poor disease-free survival (DFS) in AR+/GR+/PR+ subgroup (triple dominant group); while the Cox proportional-hazards model highlighted the triple dominant group as an independent prognostic factor for DFS. In addition, significant upregulation of FoxP3+ TILs, PD-1, and PD-L1 was observed in the triple dominant group compared to other groups. NanoString analyses further suggested that tumor necrosis factor (TNF) and/or NF-κB signaling pathways were activated with significant upregulation of RELA, MAP3K5, TNFAIP3, BCL2L1, RIPK1, TRAF2, PARP1, and AKT1 in the triple dominant EOC group. The triple dominant subgroup correlates with poor prognosis in EOC. Moreover, the TNF and/or NF-κB signaling pathways may be responsible for hormone-mediated inhibition of the immune microenvironment.

TMED9Expression Level as a Biomarker of Epithelial Ovarian Cancer Progression and Prognosis

Transmembrane emp24 domain-containing protein 9 (TMED9) belongs to the TMED/p24 family that transports, modifies, and packs proteins and lipids into vesicles for delivery to specific locations and is important in innate immune signaling via the endoplasmic reticulum-Golgi cargo pathway. TMED9 has been implicated in various cancer types; however, its role in epithelial ovarian cancer (EOC) is unclear. In this study, we aimed to elucidate the role and clinical significance of TMED9 in EOC. mRNA and protein levels of TMED9 and their associations with clinicopathological features in EOCs were evaluated using RNA-sequencing and immunohistochemistry data. Functional studies assessing the tumorigenic role of TMED9 in EOC cell lines were also performed. The mRNA expression of TMED9 was up-regulated in EOC compared to that in normal ovarian epithelium. TMED9 protein expression increased in progression from normal ovarian epithelium to EOC (p<0.001). Moreover, high expression of TMED9 was associated with advanced stage, serous cell type and poor histological grade in EOC and demonstrated independent prognostic significance for both disease-free and overall survival. Further functional studies showed that TMED9 knockdown reduced migration, invasion, cell proliferation, and colony formation of EOC cells. Overall, our results support the use of TMED9 as a valuable prognostic biomarker and provide evidence for targeting of TMED9 as a novel strategy for EOC treatment.

RNA sequencing and bioinformatics analysis revealed PACSIN3 as a potential novel biomarker for platinum resistance in epithelial ovarian cancer

AbstractBackgroundFailure to respond to treatment in epithelial ovarian cancer can often be attributed to platinum‐based chemotherapy resistance. However, the possible mechanisms or candidate biomarkers associated with platinum resistance are yet to be elucidated, even though many researchers have performed related studies.MethodsWe performed RNA sequencing of clinical specimens obtained from patients with platinum‐sensitive or resistant epithelial ovarian cancer (EOC). Furthermore, various bioinformatics approaches, including spatial analysis of functional enrichment, were used to identify key regulators and associated underlying mechanisms of platinum resistance in EOC.ResultsThrough RNA‐sequencing, we identified 263 differentially expressed genes (98 upregulated and 165 downregulated) and subjected them to Gene Oncology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses, which were characterized to the traditional platinum‐resistant characteristics. Subsequently, the gene interaction network and module analysis by spatial analysis of functional enrichment software demonstrated protein kinase C and casein kinase substrate in neurons 3 (PACSIN3) as the only upregulated hub gene, and neurotensin (NTS) and KIAA0319 as downregulated hub genes in platinum‐resistant EOC. We selected PACSIN3 for further analysis because it has not been studied in relation to response to platinum‐based chemotherapy. PACSIN3 was significantly upregulated in ovarian cancer cells compared to immortalized human ovarian surface epithelial cells. In addition, cisplatin‐induced apoptosis was measured in PACSIN3 knockout OVCA433 and BRCA‐mutated EOC cell line, SNU251, by a fluorescence‐activated cell sorting‐based Annexin‐V/propium iodide double staining assay, which revealed a significant increase in apoptosis.ConclusionsTaken together, the present study presents PACSIN3 as a promising predictive biomarker associated with platinum resistance, especially in BRCA‐mutated epithelial ovarian cancers.

NANOG regulates epithelial–mesenchymal transition via AMPK/mTOR signalling pathway in ovarian cancer SKOV‐3 and A2780 cells

AbstractNANOG engages with tumour initiation and metastasis by regulating the epithelial–mesenchymal transition (EMT) in epithelial ovarian cancer (EOC). However, its role in association with pAMPKα, and its clinical significance in EOC have not been elucidated even though AMPK is known to degrade NANOG in various human cancers. Hence, we investigated the role of pAMPKα and its association with NANOG as potential prognostic biomarkers in EOC. Both NANOG and pAMPKα expression were significantly overexpressed in EOCs comparing nonadjacent normal epithelial tissues, benign tissues, and borderline tumours. NANOG overexpression was significantly associated with poor disease‐free survival (DFS) and overall survival (OS), whereas pAMPKα overexpression was associated with good DFS and OS. Importantly, multivariate analysis revealed that the combination of high NANOG and low pAMPKα expression was a poor independent prognostic factor for DFS and was associated with platinum resistance. In ovarian cancer cell lines, siRNA‐mediated NANOG knockdown diminished migration and invasion properties by regulating the EMT process via the AMPK/mTOR signalling pathway. Furthermore, treatment with AMPK activator suppressed expression of stemness factors such as NANOG, Oct4 and Sox2. Collectively, these findings established that the combination of high NANOG and low pAMPKα expression was associated with EOC progression and platinum resistance, suggesting a potential prognostic biomarker for clinical management in EOC patients.

Therapeutic effects of surgical debulking of metastatic lymph nodes in cervical cancer IIICr: a trial protocol for a phase III, multicenter, randomized controlled study (KGOG1047/DEBULK trial)

Bulky or multiple lymph node (LN) metastases are associated with poor prognosis in cervical cancer, and the size or number of LN metastases is not yet reflected in the staging system and therapeutic strategy. Although the therapeutic effects of surgical resection of bulky LNs before standard treatment have been reported in several retrospective studies, well-planned randomized clinical studies are lacking. Therefore, the aim of the Korean Gynecologic Oncology Group (KGOG) 1047/DEBULK trial is to investigate whether the debulking surgery of bulky or multiple LNs prior to concurrent chemoradiation therapy (CCRT) improves the survival rate of patients with cervical cancer IIICr diagnosed by imaging tests. The KGOG 1047/DEBULK trial is a phase III, multicenter, randomized clinical trial involving patients with bulky or multiple LN metastases in cervical cancer IIICr. This study will include patients with a short-axis diameter of a pelvic or para-aortic LN ≥2 cm or ≥3 LNs with a short-axis diameter ≥1 cm and for whom CCRT is planned. The treatment arms will be randomly allocated in a 1:1 ratio to either receive CCRT (control arm) or undergo surgical debulking of bulky or multiple LNs before CCRT (experimental arm). CCRT consists of extended-field external beam radiotherapy/pelvic radiotherapy, brachytherapy and LN boost, and weekly chemotherapy with cisplatin (40 mg/m²), 4-6 times administered intravenously. The primary endpoint will be 3-year progression-free survival rate. The secondary endpoints will be 3-year overall survival rate, treatment-related complications, and accuracy of radiological diagnosis of bulky or multiple LNs. ClinicalTrials.gov Identifier: NCT05421650; Clinical Research Information Service Identifier: KCT0007137.