Mitotic MTH1 Inhibitor Karonudib Kills Epithelial Ovarian Cancer Independent of Platinum Sensitivity
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PROVIDER: PRJNA1245156 | ENA |
REPOSITORIES: ENA
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Project description:The prognosis for women with ovarian cancer (OC) is particularly poor if resistance to platinum compounds, the mainstay of standard-of-care OC therapy, develops. Inhibitors of the Nudix hydrolase MuT homolog 1 (MTH1) have previously been shown to arrest cancer cells in mitosis, increase 8-oxo-2’-deoxyguanosine (8-oxo-dG) incorporation into DNA, and selectively kill neoplastic cells while sparing normal cells. Here we explored the cytotoxic mechanism of these agents as well as their activity against platinum-resistant OC in vitro and in vivo. Two mitotic MTH1 inhibitors (mMTH1is), TH588 and karonudib, decreased colony formation and induced cell death in both platinum-sensitive OC cell lines and their platinum-resistant counterparts in vitro but had limited effects on fallopian tube and immortalized ovarian surface epithelial cells. Treatment with karonudib stalled OC cells in mitosis and caused elevated 8-oxo-dG levels in DNA. Cytotoxicity of this agent was blunted by overexpression of the pre-mitotic checkpoint protein CHFR, which inhibits other anti-mitotics, or treatment with the antioxidant N-acetylcysteine, which diminishes nuclear 8-oxo-dG staining, suggesting a role for both mitotic stalling and increased nuclear incorporation of oxidized nucleotides in karonudib efficacy. In three orthotopic OC patient-derived xenograft models, karonudib induced growth delay in vivo. Moreover, addition of karonudib to carboplatin doubled median overall survival in two models and prolonged survival for the duration of the study (110 days) in the third. These results, which demonstrate activity of mMTH1 as monotherapy and in combination with carboplatin in OC, suggest that karonudib-based combinations warrant further investigation as potential therapies for platinum-resistant OC.
2025-07-02 | GSE293549 | GEO
Project description:Cholesterol homeostasis modulates platinum sensitivity in human ovarian cancer
| PRJNA603116 | ENA
Project description:Here we show that platinum-resistant ovarian cancer cells also show reduced cholesterol biosynthesis, and mostly rely on uptake of exogenous cholesterol for their needs. Expression of FDPS and OSC, enzymes involved in cholesterol synthesis, are decreased both in drug-resistant cells and upon TRAP1 silencing, whereas the expression of LDL receptor, the main mediator of extracellular cholesterol uptake, is increased. Strikingly, treatment with different statins to inhibit cholesterol synthesis reduces cisplatin-induced apoptosis, whereas silencing of LIPG, an enzyme involved in lipid metabolism, increases sensitivity to the drug.
2020-05-21 | GSE144248 | GEO
Project description:Large independent analyses on cancer cell lines followed by functional studies have identified Schlafen 11 (SLFN11), a putative helicase, as the strongest predictor of sensitivity to DNA-damaging agents (DDA), including platinum. However, its role as a prognostic biomarker is undefined, partially due to the lack of validated methods to score SLFN11 in human tissues. Here, we implemented a pipeline to quantify SLFN11 in human cancer samples. By analyzing a cohort of high-grade serous ovarian carcinoma (HGSOC) specimens prior platinum-based chemotherapy treatment, we show, for the first time, that SLFN11 density in both the neoplastic and microenvironmental components was independently associated with favorable outcome. We observed SLFN11 expression in both infiltrating innate and adaptive immune cells, and analyses in a second, independent, cohort revealed that SLFN11 is associated with immune activation in HGSOC. We found that platinum treatments activated immune-related pathways in ovarian cancer cells in a SLFN11-dependent manner, representative of tumor-immune transactivation. Moreover, SLFN11 expression was induced in activated, isolated, immune cell subpopulations, hinting that SLFN11 in the immune compartment may be an indicator of immune transactivation. In summary, we propose SLFN11 is a dual biomarker capturing simultaneously interconnected immunological and cancer-cell-intrinsic functional dispositions associated with sensitivity to DDA treatment.
2021-07-13 | GSE179896 | GEO
Project description:The objective of this work was to identify potential cancer biomarkers by analyzing microarray and protein expression data from platinum-sensitive and -resistant ovarian cancer patient samples. The gene expression profiles of the samples were ompared based on platinum sensitivity status and PARP levels.
2018-05-09 | GSE114206 | GEO
Project description:Purpose: Despite advances in radical surgery and chemotherapy delivery, ovarian cancer is the most lethal gynecologic malignancy. Most of these patients are treated with platinum-based chemotherapies, but there is no biomarker model to guide their responses to these therapeutic agents. We have developed and independently tested our novel multivariate molecular predictors for forecasting patients' responses to individual drugs on a cohort of 58 ovarian cancer patients. Experimental Design: We adapted and applied the previously-published COXEN algorithm to develop molecular predictors for therapeutic responses of patients' tumors based on expression signatures derived from the NCI-60 in vitro drug activities and genomic expression data. Genome-wide candidate biomarkers were first triaged by examining expression patterns of frozen and formalin-fixed paraffin embedded (FFPE) tissue samples. We then identify initial drug sensitivity biomarkers for carboplatin and paclitaxel, respectively. These biomarkers were further narrowed by examining concordant expression patterns between cell lines and a historical set of ovarian cancer patients. Multivariate predictors were obtained from the NCI-60 cell lines and refined using historical patient cohorts. To independent validate these molecular predictors, we performed genome-wide profiling on FFPE samples of 58 ovarian cancer patients obtained prior to adjuvant chemotherapy. Results: Carboplatin predictor significantly stratified platinum sensitive and resistant patients (p = 0.019) with sensitivity = 93%, specificity = 33%, PPV = 65%, and NPV = 78%. Paclitaxel predictor also significantly stratified patients' responses (p = 0.033) with sensitivity = 96%, specificity = 26%, PPV = 61%, and NPV = 86%. The combination predictor for platinum-taxane combination demonstrated a significant survival difference between the predicted responders and nonresponders with median survival of 12.9 months vs. 8.1 months (p = 0.045). Conclusions: COXEN predictors successfully stratified platinum resistance and taxane response in this retrospective cohort, especially based on their FFPE tumor samples. Accurate prediction of chemotherapeutic response, especially to platinum agents is highly clinically relevant and could alter primary management of ovarian cancer. Gene expression data from 58 stage III-IV ovarian cancer patients treated with Carboplatin and Taxol agents
2012-08-21 | E-GEOD-30161 | biostudies-arrayexpress
Project description:Resistance to platinum-based chemotherapy is a clinical challenge in the treatment of ovarian cancer (OC) and limits survival. Therefore, innovative drugs against platinum-resistance are urgently needed. Our therapeutic concept is based on the conjugation of two chemotherapeutic compounds to a monotherapeutic pro-drug, which is taken up by cancer cells and cleaved into active cytostatic metabolites. Here, we explore the activity of the duplex-prodrug 5-FdU-ECyd, covalently linking 2'-deoxy-5-fluorouridine (5-FdU) and 3'-C-ethynylcytidine (ECyd), on platinum-resistant OC cells. RNA-Sequencing was used for characterization of 5-FdU-ECyd treated platinum-sensitive A2780 and isogenic platinum-resistant A2780cis.
2018-02-22 | GSE98230 | GEO
Project description:SLFN11 captures cancer-immunity interactions associated with platinum sensitivity in high-grade serous ovarian cancer
| PRJNA745556 | ENA
Project description:Ascites exosomal lncRNA PLADE enhances platinum sensitivity by inducing R-loop in ovarian cancer
| PRJNA1037123 | ENA
Project description:Purpose: Despite advances in radical surgery and chemotherapy delivery, ovarian cancer is the most lethal gynecologic malignancy. Most of these patients are treated with platinum-based chemotherapies, but there is no biomarker model to guide their responses to these therapeutic agents. We have developed and independently tested our novel multivariate molecular predictors for forecasting patients' responses to individual drugs on a cohort of 58 ovarian cancer patients. Experimental Design: We adapted and applied the previously-published COXEN algorithm to develop molecular predictors for therapeutic responses of patients' tumors based on expression signatures derived from the NCI-60 in vitro drug activities and genomic expression data. Genome-wide candidate biomarkers were first triaged by examining expression patterns of frozen and formalin-fixed paraffin embedded (FFPE) tissue samples. We then identify initial drug sensitivity biomarkers for carboplatin and paclitaxel, respectively. These biomarkers were further narrowed by examining concordant expression patterns between cell lines and a historical set of ovarian cancer patients. Multivariate predictors were obtained from the NCI-60 cell lines and refined using historical patient cohorts. To independent validate these molecular predictors, we performed genome-wide profiling on FFPE samples of 58 ovarian cancer patients obtained prior to adjuvant chemotherapy. Results: Carboplatin predictor significantly stratified platinum sensitive and resistant patients (p = 0.019) with sensitivity = 93%, specificity = 33%, PPV = 65%, and NPV = 78%. Paclitaxel predictor also significantly stratified patients' responses (p = 0.033) with sensitivity = 96%, specificity = 26%, PPV = 61%, and NPV = 86%. The combination predictor for platinum-taxane combination demonstrated a significant survival difference between the predicted responders and nonresponders with median survival of 12.9 months vs. 8.1 months (p = 0.045). Conclusions: COXEN predictors successfully stratified platinum resistance and taxane response in this retrospective cohort, especially based on their FFPE tumor samples. Accurate prediction of chemotherapeutic response, especially to platinum agents is highly clinically relevant and could alter primary management of ovarian cancer.
2012-08-21 | GSE30161 | GEO