Identification of Therapeutic Targets for Low-Grade Serous Ovarian Carcinoma [EM-seq]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE314295 | GEO | 2026/03/30
REPOSITORIES: GEO
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| GSE314295_lgsoc_methylome_gene_promoter_cell_lines.csv.gz | Csv |
Items per page: 5 1 - 2 of 2 |
Similar Datasets
Project description:Low-grade serous ovarian carcinoma (LGSOC) is a rare, indolent ovarian cancer subtype with limited effective therapies. Approximately 40% of cases lack canonical MAPK/ERK or PI3K/AKT/mTOR pathway alterations and are classified as having no specific molecular profile (NSMP). These patients have poor responses to chemotherapy, MEK inhibitors, and hormonal therapies, highlighting the need for alternative strategies. This study aimed to identify novel therapeutic targets in NSMP LGSOC. A high-throughput drug screen of over 3,500 compounds (including FDA-approved, clinically tested, and investigational agents) was conducted across 12 LGSOC and one control ovarian epithelial cell line. EGFR inhibitors emerged as selective hits in NSMP cell lines and were further tested in two NSMP and two MAPK-mutant lines in combination with standard-of-care chemotherapy agents, carboplatin and paclitaxel. EGFR expression was assessed using RNA sequencing, DNA methylation profiling, and immunohistochemistry in primary tumours, followed by survival analysis based on expression levels.
2026-03-30 | GSE313802 | GEO
Project description:Differ from the aggressive nature of HGSOC (high grade serous ovarian cancer), LGSOC (low grade serous ovarian cancer) is characterized by an early age of disease onset, slow growth pattern, and poor response to chemotherapy. To understand more specifically the underlying gene profiling discrepancy that contributes to their behavior distinction, we performed parallel gene expression profiling in 9 magnetic sorted tumor cells samples from matched primary tumors, ascites and metastases of 3 LGSOC patients as in HGSOC. By comparing the expression data among primary tumor cells, ascitic tumor cells and metastasis tumor cells, we identified a set of differential expressed genes along LGSOC progression. Further study revealed that the gene phenotype perturbance along LGSOC progression was quite different from that of HGSOC patients. We used microarrays to profile the expression of 9 matched tumor cells samples in order to identify molecular alteration between primary tumor cells, ascitic tumor cells and metastatic tumor cells in low grade serous ovarian cancer.
2017-12-19 | GSE73091 | GEO
Project description:Purpose: Neoadjuvant chemotherapy shows limited activity in low-grade serous carcinoma (LGSOC) of the ovary, fallopian tube, and peritoneum (LGSOC). Given LGSOC’s similarities to hormone receptor- positive (HR+) breast cancer, including clinical benefit from endocrine therapies, we conducted a phase II pilot study to assess the clinical benefit of neoadjuvant treatment with fulvestrant and abemaciclib for women with advanced LGSOC. Patients and Methods: Women with untreated, unresectable stage III or IV LGSOC were eligible. Patients received fulvestrant (500 mg IM on day 1 and 15 of the first 28-day cycle, then day 1 of subsequent cycles) and abemaciclib 150 mg orally BID. Pre/perimenopausal patients received goserelin 10.8 mg subcutaneously every 12 weeks for ovarian suppression. Imaging re-assessment was performed every 8 weeks using RECIST 1.1 until deemed resectable. Following interval cytoreductive surgery (ICS), patients received 4 cycles of adjuvant fulvestrant and abemaciclib followed by maintenance letrozole. Patients with progressive disease were removed from the study and received standard chemotherapy. The pPrimary endpoint is best overall response clinical benefit rate (BOR CBR). Results: Fifteen patients were enrolled and evaluable for efficacy. BOR CBR in the neoadjuvant setting was 100%, with (9/15 patients (60%) achieving partial response (PR), and 6/15 patients (40%) showing stable disease (SD). One patient with radiologic PR had pathologic complete response at ICS. Nine of fifteen patients (60%) underwent ICS – 5 (55.5%) with complete gross resection, 2 (22.2%) with <1cm residual disease, and 2 (22.2%) with suboptimal cytoreduction. Median time on study prior to surgery was 8.38 months. Conclusion: Neoadjuvant treatment with fulvestrant and abemaciclib was tolerable and demonstrated unprecedented response and CBGR rates in this pilot study. These results compare favorably withto published outcomes of neoadjuvant chemotherapy in LGSOC.
2026-03-12 | GSE292946 | GEO
Project description:Cetuximab, an epidermal growth factor receptor (EGFR) inhibitory antibody, is an approved therapy for head and neck squamous cell carcinoma (HNSCC). Despite the EGFR dependency of HNSCC, cetuximab alone or combined with radio- or chemotherapy fails to yield long-term control or cures. Herein, we submitted EGFR-dependent HNSCC cell lines to RNAi-based functional genomics screens to identify, in an unbiased fashion, essential protein kinases for growth and survival as well as synthetic lethal targets for combined inhibition with EGFR inhibitors. MTOR and ERBB3 were identified as the highest ranking essential kinase hits. MTOR dependency was confirmed by distinct shRNAs and high sensitivity of the cell lines to AZD8055 while ERBB3 dependency was validated by shRNA-mediated silencing. Further, a synthetic lethal kinome shRNA screen with a pan-ERBB inhibitor, AZD8931, identified multiple components of the ERK MAPK pathway, consistent with ERK reactivation and/or incomplete ERK pathway inhibition in response to EGFR inhibitor monotherapy. As validation, distinct MEK inhibitors yielded synergistic growth inhibition when combined with the EGFR inhibitors, gefitinib and AZD8931. The findings identify ERBB3 and MTOR as important pharmacological vulnerabilities in HNSCC and support combining MEK and EGFR inhibitors to enhance efficacy of agents such as cetuximab.
2020-01-29 | GSE132788 | GEO
Project description:High-grade serous ovarian cancer (HGSOC) remains the most lethal gynecologic malignancy and novel treatment approaches are needed. Here, we used unbiased quantitative protein mass spectrometry to assess the cellular response profile to drug perturbations in ovarian cancer cells for the rational design of potential combination therapies. Analysis of the perturbation profiles revealed proteins responding across several drug perturbations (called frequently responsive below) as well as drug-specific protein responses. The frequently responsive proteins included proteins that reflected general drug resistance mechanisms such as changes in drug efflux pumps. Network analysis of drug-specific protein responses revealed known and potential novel markers of resistance, which were used to rationalize the design of anti-resistance drug pairs. We experimentally tested the anti-proliferative effects of 12 of the proposed drug combinations in 6 HGSOC cell lines. Drug combinations tested with additive or synergistic effects are plausible candidates for overcoming or preventing resistance to single agents; these include several combinations that were synergistic (with PARPi, MEKi, and SRCi). Additionally, we observed 0.05-0.11 micromolar response to GPX4 inhibitors as single agents in the OVCAR-4 cell line. We propose several drug combinations as potential therapeutic candidates in ovarian cancer, as well as GPX4 inhibitors as single agents
2025-07-19 | PXD066316 | Pride
Project description:Low-grade serous ovarian carcinoma (LGSOC) is a rare and largely chemoresistant subtype of epithelial ovarian cancer. Unlike treatment for high-grade serous ovarian cancer (HGSOC), management options for LGSOC patients are limited, in part, due to a lack of deep molecular characterization of this disease. To address this limitation, we aimed to define highly conserved proteome alterations in LGSOC by performing deep quantitative proteomic analysis of tumors collected from LGSOC and HGSOC patients or normal fallopian tube tissues and validating proteins within two independent proteomic datasets of LGSOC and HGSOC tumors.
2025-09-30 | PXD050642 | Pride
Project description:The clinical efficacy of EGFR kinase inhibitors is limited by the development of drug resistance. The irreversible EGFR kinase inhibitor WZ4002 is effective against the most common mechanism of drug resistance mediated by the EGFR T790M mutation. Here we show that in multiple complementary models harboring EGFR T790M, resistance to WZ4002 develops through aberrant activation of ERK signaling caused by either an amplification of MAPK1 or by downregulation of negative regulators of ERK signaling. Inhibition of MEK or ERK restores sensitivity to WZ4002, and the combination of WZ4002 and a MEK inhibitor prevents the emergence of drug resistance. The WZ4002 resistant MAPK1 amplified cells also demonstrate an increase both in EGFR internalization and a decrease in sensitivity to cytotoxic chemotherapy compared to the parental counterparts. Our findings provide insights into mechanisms of drug resistance to EGFR kinase inhibitors and highlight rational combination therapies that should be evaluated in clinical trials. The EGFR mutant non-small cell lung cancer (NSCLC) cell line PC9 GR4 (delE746_A750/T790M) was exposed to increasing concentrations of WZ4002 similar to previously described methods. Individual clones from WZ4002-resistant (WZR) cells were isolated and confirmed to be drug resistant. Number of samples: 5. PC9GR4 as a control. 4 clones of WZ4002-resistant PC9GR4.
2012-10-01 | E-GEOD-37698 | biostudies-arrayexpress
Project description:<p>We have used a "chemistry first" approach to discover druggable acquired vulnerabilities that arised in the pathogenesis of non-small cell lung cancer (NSCLC). We screened chemical libraries (~200,000 compounds) for chemical toxins that killed subsets of NSCLC but not normal human lung epithelial cells (HBECs). We first screened a panel of 12 NSCLC lines that represented a variety of known oncogenotypes and identified chemicals with large Z scores and appropriate properties including re-supply, chemistry, and reproducible drug response phenotypes. This was then narrowed down to a list of 202 chemicals and 18 drugs with known targeting (henceforth called "Precision Oncology Probe Set", or POPS). These, and a panel of 30 clinically available drugs, targeted therapies, and drug combinations, already in use or in trials for NSCLC treatment, were then tested on a panel of 96 NSCLC lines for their drug response phenotypes in 12-point dose response curves. This information was analyzed using scanning ranked KS (Kolmogorov-Smirnov) and elastic net biostatistics approaches to identify molecular biomarkers (mutations, mRNA expression, copy number variation, protein expression, and metabolomics) which could predict for sensitivity or resistance to a particular chemical toxin or treatment regimen. From this we have discovered that: our approach identifies already known molecular biomarker of drug sensitivities (e.g. EGFR mutations and EGFR TK inhibitors); many clinically available chemotherapy agents have molecular biomarkers predicting preclinical model drug responses; the POP set of chemical toxins provides novel drug response phenotype patterns in the large NSCLC panel different from those found with clinically available agents including a therapeutic window; many of the POP toxins only hit a small percentage (~5%) of the NSCLC panel but the POP set as a whole provides "coverage" of the entire NSCLC panel; there are simple, one or 2 component molecular biomarkers (mutations, mRNA expression) that predict responses to the different chemical toxins in the NSCLC panel; and that the molecular biomarkers provide some information on the targets and pathways involved in response to the chemical toxins. Thus, we have identified a group of chemical toxins with selectivity for subsets of NSCLC and associated tumor molecular biomarkers to facilitate their development for precision medicine, and also, in some cases, information on the targets and pathways interdicted by these chemical compounds. In addition, we have discovered NSCLC predictive biomarkers for clinically available agents.</p>
| phs001823 | dbGaP
Project description:The clinical efficacy of EGFR kinase inhibitors is limited by the development of drug resistance. The irreversible EGFR kinase inhibitor WZ4002 is effective against the most common mechanism of drug resistance mediated by the EGFR T790M mutation. Here we show that in multiple complementary models harboring EGFR T790M, resistance to WZ4002 develops through aberrant activation of ERK signaling caused by either an amplification of MAPK1 or by downregulation of negative regulators of ERK signaling. Inhibition of MEK or ERK restores sensitivity to WZ4002, and the combination of WZ4002 and a MEK inhibitor prevents the emergence of drug resistance. The WZ4002 resistant MAPK1 amplified cells also demonstrate an increase both in EGFR internalization and a decrease in sensitivity to cytotoxic chemotherapy compared to the parental counterparts. Our findings provide insights into mechanisms of drug resistance to EGFR kinase inhibitors and highlight rational combination therapies that should be evaluated in clinical trials. Our study identifies ERK signaling as a mediator of resistance to irreversible pyrimidine EGFR inhibitors in EGFR T790M-bearing cancers. We further provide a therapeutic strategy to both treat and prevent the emergence of this resistance mechanism. To generate drug-resistant NCI-H1975 cell lines, non-small cell lung cancer (NSCLC) cells were exposed to increasing concentrations of WZ4002 similar to previously described methods. Individual clones from WZ4002-resistant (WZR) cells were isolated and confirmed to be drug resistant. Clone #6, designated as WZR6, was used in this study. For expression analysis, samples were prepared in triplicate from parental NCI-H1975 and NCI-H1975 WZR6 cells.
2012-10-01 | E-GEOD-37699 | biostudies-arrayexpress
Project description:Background: Long-term drug evaluation heavily relies upon rodent models. Drug discovery methods to reduce animal models in oncology may include three-dimensional (3D) cellular systems that take into account tumor microenvironment (TME) cell types and biomechanical properties. Methods: In this study we reconstructed a 3D tumor using an elastic polymer (acrylate-endcapped urethane-based poly(ethylene glycol) (AUPPEG)) with clinical relevant stiffness. Single cell suspensions from low-grade serous ovarian cancer (LGSOC) patient-derived early passage cultures of cancer cells and cancer-associated fibroblasts (CAF) embedded in a collagen gel were introduced to the AUPPEG scaffold. After self-organization in to a 3D tumor, this model was evaluated by a long-term (>40 days) exposure to a drug combination of MEK and HSP90 inhibitors. The drug-response results from this long-term in vitro model are compared with drug responses in an orthotopic LGSOC xenograft mouse model. Results: The in vitro 3D scaffold LGSOC model mimics the growth ratio and spatial organization of the LGSOC. The AUPPEG scaffold approach allows to test new targeted treatments and monitor long-term drug responses. The results correlate with those of the orthotopic LGSOC xenograft mouse model. Conclusions: The mechanically-tunable scaffolds colonized by a three-dimensional LGSOC allow long-term drug evaluation and can be considered as a valid alternative to reduce, replace and refine animal models in drug discovery
2024-01-26 | PXD039590 | Pride