Ovarian Cancer Cell Line SKOV3 Research Articles

Identification of three subtypes of ovarian cancer and construction of prognostic models based on immune-related genes

BackgroundImmunotherapy has revolutionized the treatment of ovarian cancer (OC), but different immune microenvironments often constrain the efficacy of immunotherapeutic interventions. Therefore, there is an imperative to delineate novel immune subtypes for development of efficacious immunotherapeutic strategies.MethodsThe immune subtypes of OC were identified by consensus cluster analysis. The differences in clinical features, genetic mutations, mRNA stemness (mRNAsi) and immune microenvironments were analyzed among subtypes. Subsequently, prognostic risk models were constructed based on differentially expressed genes (DEGs) of the immune subtypes using weighted correlation network analysis.ResultsOC patients were classified into three immune subtypes with distinct survival rates and clinical features. Different subtypes exhibited varying tumor mutation burdens, homologous recombination deficiencies, and mRNAsi levels. Significant differences were observed among immune subtypes in terms of immune checkpoint expression and immunogenic cell death. Prognostic risk models were validated as independent prognostic factors demonstrated great predictive performance for survival of OC patients.ConclusionIn this study, three distinct immune subtypes were identified based on gene sets related to vaccine response, with the C2 subtype exhibiting significantly worse prognosis. While no statistically significant differences in tumor mutation burden (TMB) were observed across the three subtypes, the homologous recombination deficiency (HRD) score and mRNA stemness index (mRNAsi) were notably elevated in the C2 group compared to the others. Immune infiltration analysis indicated that the C2 subtype may have an increased presence of regulatory T (Treg) cells, potentially contributing to a more favorable response to combination therapies involving PARP inhibitors and immunotherapy. These findings offer a precision medicine approach for tailoring immunotherapy in ovarian cancer patients. Moreover, the C3 subtype demonstrated significantly lower expression levels of immune checkpoint genes, a pattern validated by independent datasets, and associated with a better prognosis. Further investigation revealed that the immune-related gene FCRL5 correlates with ovarian cancer prognosis, with in vitro experiments showing that it influences the proliferation and migration of the ovarian cancer cell line SKOV3.

Preparation of dual drug-loaded polymer nanoconjugate to enhance treatment efficacy for ovarian cancer cells

Ovarian cancer is the deadliest gynecological malignancy, representing 2.5 % of all female cancers and accounting for 5 % of female cancer-related fatalities. Despite numerous strategies in its treatment, the disease shows a high recurrence rate and a low survival rate. Consequently, there is a growing focus on targeted therapies in ovarian cancer treatment. It is well-known that VEGFR and LPA pathways undergo alterations in ovarian cancer and stimulate survival, adhesion, migration, invasion, tumor growth and angiogenesis. Cabozantinib (CBZ) is a multi-receptor tyrosine kinase inhibitor that effectively targets MET, VEGFR-1, 2, 3, FLT3, c-KIT, and RET. Ki16425 is a selective inhibitor of LPA receptors 1, 2, and 3. Therefore, targeting LPA receptors and combining with VEGFR inhibitor is a strategic approach for ovarian cancer treatment. In this study, it was aimed to prepare polymer-drug nanoconjugate for both VEGFR and LPAR inhibition. For this, O-(2-Carboxyethyl) polyethylene glycol (PEG5000) which advantages are known in cancer studies, was chosen as the carrier system, and a nanoconjugate containing Ki16425 and CBZ (Ki-PEG-CBZ) was synthesized and its potential was evaluated. Initially, CBZ and Ki16425 were conjugated to the PEG5000 through pH-sensitive hydrazone and ester bonds. After nanoconjugate characterization, in vitro release and its ovarian cancer treatment potential were evaluated on A2780, OVCAR3 and SKOV3 ovarian cancer cell lines. A nanoconjugate was obtained with a particle size of 169 ± 15.23 nm, a zeta potential of −13.5 ± 1.21 mV, and a release profile lasting 48 h, containing CBZ and Ki16425 with drug loading efficiencies of 73.71 ± 0.53 % and 77.72 ± 2.51 %, respectively. In vitro studies have demonstrated that Ki-PEG-CBZ is highly effective against ovarian cancer. We suggest that the developed polymer-drug nanoconjugate is an effective and safe nanoconjugate for the treatment of ovarian cancer.

Fine-tuning the cytotoxicity profile of N,N,N-trimethyl chitosan through trimethylation, molecular weight, and polyelectrolyte complex nanoparticles.

N,N,N-trimethyl chitosan (TMC) is a promising biopolymer for pharmaceutical applications due to its enhanced solubility and bioadhesive properties, though its cytotoxic limitations necessitate careful modification to ensure safety and efficacy. This study sought to investigate whether nanoparticle (NP) formation could reduce the anticipated cytotoxic effects of TMC, thus improving its applicability across a wider spectrum of pharmaceutical uses. TMC's capability to form NPs with anionic polyelectrolytes led to the application of chondroitin sulfate (ChS) in this study. Five TMC samples, varying in degree of trimethylation (DTM 23, 32, 46, 50 and 99%) and molecular weight (Mw, 66-290kDa) were synthesized, and their biocompatibility with human umbilical vein endothelial cells (HUVECs) was assessed. The results revealed a discernible impact of both DTM and Mw on cell viability, with higher DTM and lower Mw correlating with increased toxicity. Cytotoxicity studies against ovarian cancer cell lines SKOV-3 and OVISE showed a clear indication of a higher cytotoxic effect of TMC samples against cancer cells compared to healthy cells (HUVEC). The cytotoxicity against cancer cells also indicated an optimal DTM for maximum efficacy, deviating from a linear trend. The effects of Mw were cell-dependent, introducing complexity to the observed relationship. Additionally, TMC-ChS NPs were successfully prepared, demonstrating a substantial reduction in cytotoxicity compared to TMC alone in all tested cells. This promising outcome suggests the potential of NP formation to fine-tune the cytotoxicity profile of TMC, paving the way for the development of safer and more effective pharmaceutical formulations.

Cationic Polystyrene Latex Nanocarriers for Immunostimulatory Long Double-Stranded RNA Delivery to Ovarian Cancer Cells.

Long double-stranded (ds)RNA, a potent stimulator of type I interferon and the innate immune response. In the present study, we demonstrated, for the first time, the efficacy of cationic polystyrene latex nanostructures (clNPs) as a dsRNA carrier, improving cellular delivery and robustly potentiating the immunostimulatory capacity of dsRNA in the ovarian cancer cell line SKOV3. The clNPs complexed with an in vitro transcribed dsRNA molecule, were bound by SKOV3 cells, and had increased cellular association compared to uncomplexed clNPs. clNPs complexed with dsRNA induced a more robust innate immune response compared to dsRNA alone. Transcript expression of two interferon-stimulated genes, were increased 47- and 108-fold over dsRNA and induced a significant antiviral state against vesicular-stomatitis virus, resulting in a 3.3-fold improvement on the efficacy of dsRNA. These data highlight the potential of polystyrene latex nanostructures as dsRNA carriers for anticancer immunotherapies, improving the uptake and efficacy of the nucleic acid.

Transcriptome analysis of the effect of HERV-K env gene knockout in ovarian cancer cell lines.

Human endogenous retroviruses (HERVs) have been implicated in the pathogenesis of various diseases, particularly cancers. Previous investigations from our group demonstrated that targeted knockout (KO) of the HERV-K env gene led to a significant reduction in tumorigenic attributes, including proliferation, migration, and invasion of ovarian cancer cells. In this study, we aimed to elucidate the impact of HERV-K env KO on gene expression in ovarian cancer cell lines through comparative RNA sequencing (RNA-Seq) analysis with two distinct HERV-K env KO ovarian cancer cell lines, SKOV3 and OVCAR3. HERV-K env gene KO was achieved in SKOV3 and OVCAR3 ovarian cancer cell lines using the CRISPR-Cas9 system. Next-generation mRNA sequencing was employed to assess the gene expression profiles of both mock and HERV-K env KO ovarian cancer cells. Furthermore, comprehensive analyses involving gene ontology and pathway assessments were conducted. Transcriptome analysis revealed that 23 differentially expressed genes (DEGs) were upregulated and 17 DEGs were downregulated in SKOV3 cells. In OVCAR3 cells, 198 DEGs were upregulated, and 17 DEGs were downregulated. Notably, 53 DEGs exhibited statistically significant differences among the 1,612 DEGs identified. Our findings indicate that HERV-K env gene KO exerts a profound influence on gene expression patterns in OVCAR3 cells, while genetic alterations in expression were relatively modest in SKOV3 cells. Nevertheless, genes ND1, ND2, and CYTB displayed a common increase in expression, while ERRFI1 and NDRG1 exhibited a decrease in expression in both cell lines. Our study demonstrates that KO of the HERV-K env gene in ovarian cancer cell lines has a substantial impact on gene expression patterns and can be used to identify potential therapeutic targets for ovarian cancer and related diseases.

Oxyresveratrol Enhances the Anti-Cancer Effect of Cisplatin against Epithelial Ovarian Cancer Cells through Suppressing the Activation of Protein Kinase B (AKT).

Epithelial ovarian carcinoma poses a significant challenge due to its resistance to chemotherapy and propensity for metastasis, thereby reducing the effectiveness of conventional treatments. Hence, the identification of novel compounds capable of augmenting the anti-cancer efficacy of platinum-based chemotherapy is imperative. Oxyresveratrol (OXY), a derivative of resveratrol, has been demonstrated to possess antiproliferative and apoptosis-inducing effects across various cancer cell lines. Notably, OXY appears to exert its effects by inhibiting the PI3K/AKT/mTOR signaling pathway. However, the synergistic potential of OXY in combination with cisplatin against epithelial ovarian cancer has not yet been elucidated. The current study investigated the synergistic effects of OXY and cisplatin on the ovarian cancer cell lines SKOV3 and TOV21G. We found that OXY significantly enhanced cisplatin's ability to reduce cell viability, induce apoptosis, induce cell cycle arrest, and increase the proportion of cells in the sub-G1 phase. Furthermore, OXY treatment alone dose-dependently inhibited the production of anti-apoptotic proteins including Mcl-1, Bcl-xL, and XIAP under EGF activation. Mechanistically, OXY suppressed the PI3K/AKT/mTOR signaling pathway by reducing phosphorylated AKT, while having no discernible effect on the MAPK pathway. These findings highlight OXY's potential to enhance ovarian cancer cell sensitivity to chemotherapy, suggesting its development as a pharmaceutical adjunct for clinical use in combination therapies.

Advancing 3D Spheroid Research through 3D Scaffolds Made by Two-Photon Polymerization.

Three-dimensional cancer cell cultures have been a valuable research model for developing new drug targets in the preclinical stage. However, there are still limitations to these in vitro models. Scaffold-based systems offer a promising approach to overcoming these challenges in cancer research. In this study, we show that two-photon polymerization (TPP)-assisted printing of scaffolds enhances 3D tumor cell culture formation without additional modifications. TPP is a perfect fit for this task, as it is an advanced 3D-printing technique combining a μm-level resolution with complete freedom in the design of the final structure. Additionally, it can use a wide array of materials, including biocompatible ones. We exploit these capabilities to fabricate scaffolds from two different biocompatible materials-PEGDA and OrmoClear. Cubic spheroid scaffolds with a more complex architecture were produced and tested. The biological evaluation showed that the human ovarian cancer cell lines SKOV3 and A2780 formed 3D cultures on printed scaffolds without a preference for the material. The gene expression evaluation showed that the A2780 cell line exhibited substantial changes in CDH1, CDH2, TWIST, COL1A1, and SMAD3 gene expression, while the SKOV3 cell line had slight changes in said gene expression. Our findings show how the scaffold architecture design impacts tumor cell culture 3D spheroid formation, especially for the A2780 cancer cell line.

Comprehensive analysis of hub genes associated with cisplatin-resistance in ovarian cancer and screening of therapeutic drugs through bioinformatics and experimental validation

BackgroundTo identify key genes associated with cisplatin resistance in ovarian cancer, a comprehensive analysis was conducted on three datasets from the GEO database and through experimental validation.MethodsGene expression profiles were retrieved from the GEO database. DEGs were identified by comparing gene expression profiles between cisplatin-sensitive and resistant ovarian cancer cell lines. The identified genes were further subjected to GO, KEGG, and PPI network analysis. Potential inhibitors of key genes were identified through methods such as LibDock nuclear molecular docking. In vitro assays and RT-qPCR were performed to assess the expression levels of key genes in ovarian cancer cell lines. The sensitivity of cells to chemotherapy and proliferation of key gene knockout cells were evaluated through CCK8 and Clonogenic assays.ResultsResults showed that 12 genes influenced the chemosensitivity of the ovarian cancer cell line SKOV3, and 9 genes were associated with the prognosis and survival outcomes of ovarian cancer patients. RT-qPCR results revealed NDRG1, CYBRD1, MT2A, CNIH3, DPYSL3, and CARMIL1 were upregulated, whereas ERBB4, ANK3, B2M, LRRTM4, EYA4, and SLIT2 were downregulated in cisplatin-resistant cell lines. NDRG1, CYBRD1, and DPYSL3 knock-down significantly inhibited the proliferation of cisplatin-resistant cell line SKOV3. Finally, photofrin, a small-molecule compound targeting CYBRD1, was identified.ConclusionThis study reveals changes in the expression level of some genes associated with cisplatin-resistant ovarian cancer. In addition, a new small molecule compound was identified for the treatment of cisplatin-resistant ovarian cancer.

Regulation of cancer cell ferroptosis by PTRF/Cavin-1

Ovarian cancer, marked by high rate of recurrence, novel therapeutic strategies are needed to improve patient outcome. One of the potential strategies is inducing ferroptosis in ovarian cancer cells. Ferroptosis is an iron-dependent, lipid peroxidation-driven mode of cell death primarily occurring on the cell membrane. PTRF, an integral component of the caveolae structures located on the cell membrane, is involved in a multitude of physiological processes, including but not limited to, endocytosis, signal transduction, and lipid metabolism. This study elucidates the relationship between PTRF and ferroptosis in ovarian cancer, offering a fresh perspective for the development of new therapeutic strategies. We knocked down PTRF employing siRNA in the ovarian cancer cell lines HEY and SKOV3, following which we stimulated ferroptosis with Erastin (Era). Our research indicates that the lack of PTRF sensitizes cancer cells to ferroptosis, likely by altering membrane stability and tension, thereby affecting signal pathways related to ferroptosis, such as lipid and atherosclerosis, fluid shear stress, and atherosclerosis. Our findings provide new insights for developing new treatments for ovarian cancer.

Identification and validation of immunity- and disulfidptosis-related genes signature for predicting prognosis in ovarian cancer

BackgroundOvarian cancer (OC) ranks as the fifth most prevalent neoplasm in women and exhibits an unfavorable prognosis. To improve the OC patient's prognosis, a pioneering risk signature was formulated by amalgamating disulfidptosis-related genes. MethodsA comparative analysis of OC tissues and normal tissues was carried out, and differentially expressed disulfidptosis-related genes (DRGs) were found using the criteria of |log2 (fold change) | > 0.585 and adjusted P-value <0.05. Subsequently, the TCGA training set was utilized to create a prognostic risk signature, which was validated by employing both the TCGA testing set and the GEO dataset. Moreover, the immune cell infiltration, mutational load, response to chemotherapy, and response to immunotherapy were analyzed. To further validate these findings, QRT-PCR analysis was conducted on ovarian tumor cell lines. ResultsA risk signature was created using fourteen differentially expressed genes (DEGs) associated with disulfidptosis, enabling the classification of ovarian cancer (OC) patients into high-risk group (HRG) and low-risk group (LRG). The HRG exhibited a lower overall survival (OS) compared to the LRG. In addition, the risk score remained an independent predictor even after incorporating clinical factors. Furthermore, the LRG displayed lower stromal, immune, and estimated scores compared to the HRG, suggesting a possible connection between the risk signature, immune cell infiltration, and mutational load. Finally, the QRT-PCR experiments revealed that eight genes were upregulated in the human OC cell line SKOV3 compared with the human normal OC line IOSE80, while six genes were down-regulated. ConclusionsA fourteen-biomarker signature composed of disulfidptosis-related genes could serve as a valuable risk stratification tool in OC, facilitating the identification of patients who may benefit from individualized treatment and follow-up management.

Bio-beneficial spectrum of Tecoma stans flower extract in vitro for fighting prostate and ovarian cancers with its anti-diabetic and antioxidant activities

People have long used plants and plant-derived products to treat a wide range of illnesses. In the present work, Tecoma stans flower was extracted using 90% ethanol. Flavonoids and total phenolic constituents of T. stans flower extract were screened, and polyphenolic compounds were assessed using high-performance liquid chromatography (HPLC). Anti-diabetic via α-amylase and α-glucosidase assays, antioxidant via 2,2-diphenyl-1-picryl-hydrazyl-hydrate, ferric reducing antioxidant power, and total antioxidant capacity of T. stans flower extract were assessed. The cytotoxic action for T. stans flower extract was assessed versus WI-38 (human fetal lung fibroblast cells), PC3 (prostate cancer cell line), and SK-OV3 (ovarian cancer cell line). The T. stans extract showed promising in vitro anti-diabetic effect with IC50 = 12.08 ± 0.2 µg/mL and 22.83 ± 0.3 µg/mL for α-amylase and α-glucosidase, respectively. Moreover, T. stans showed good in vitro antioxidant action with IC50= 5.36 ± 0.2 µg/mL for DPPH testing, and the best antitumor impact versus PC3 cells with IC50 = 113.27 ± 1.59 µg/mL. Flow cytometric analysis confirmed the role of T. stans in acceleration in apoptosis of PC3 cells through regulation of oxidative enzymes. These results indicate that the derived materials from T. stans flower have multiple medicinal applications.

Intact cell mass spectrometry coupled with machine learning reveals minute changes induced by single gene silencing

Intact (whole) cell MALDI TOF mass spectrometry is a commonly used tool in clinical microbiology for several decades. Recently it was introduced to analysis of eukaryotic cells, including cancer and stem cells. Besides targeted metabolomic and proteomic applications, the intact cell MALDI TOF mass spectrometry provides a sufficient sensitivity and specificity to discriminate cell types, isogenous cell lines or even the metabolic states. This makes the intact cell MALDI TOF mass spectrometry a promising tool for quality control in advanced cell cultures with a potential to reveal batch-to-batch variation, aberrant clones, or unwanted shifts in cell phenotype. However, cellular alterations induced by change in expression of a single gene has not been addressed by intact cell mass spectrometry yet. In this work we used a well-characterized human ovarian cancer cell line SKOV3 with silenced expression of a tumor suppressor candidate 3 gene (TUSC3). TUSC3 is involved in co-translational N-glycosylation of proteins with well-known global impact on cell phenotype. Altogether, this experimental design represents a highly suitable model for optimization of intact cell mass spectrometry and analysis of spectral data. Here we investigated five machine learning algorithms (k-nearest neighbors, decision tree, random forest, partial least squares discrimination, and artificial neural network) and optimized their performance either in pure populations or in two-component mixtures composed of cells with normal or silenced expression of TUSC3. All five algorithms reached accuracy over 90 % and were able to reveal even subtle changes in mass spectra corresponding to alterations of TUSC3 expression. In summary, we demonstrate that spectral fingerprints generated by intact cell MALDI-TOF mass spectrometry coupled to a machine learning classifier can reveal minute changes induced by alteration of a single gene, and therefore contribute to the portfolio of quality control applications in routine cell and tissue cultures.

Investigating the effect of Alpha-ketoglutarate on the survival and proliferation of ovarian cancer cell line SKOV3

Investigating the effect of Alpha-ketoglutarate on the survival and proliferation of ovarian cancer cell line SKOV3

Circ-RNF111 Promotes Proliferation of Ovarian Cancer Cell SKOV-3 by Targeting the MiR-556-5p/CCND1 Axis.

The aim of this study was to investigate the role and mechanism of circ-RNF111 in the human ovarian cancer cell line SKOV-3. First, qRT-PCR was used to detect circ-RNF111 and miR-556-5p expression levels in human normal ovarian epithelial cells IOSE80 and human ovarian cancer cells SKOV-3. CCK-8 and colony formation assays were adopted to determine the proliferation rate and cell viability of SKOV-3 cells, respectively. Additionally, in an attempt to reveal the mechanism of circ-RNF111, we predicted the targeting relationship between miR-556-5p and circ-RNF111 as well as miR-556-5p and CCND1 using the circinteractome and TargetScan databases, respectively, and validated their relationship by dual-luciferase reporter assay. The protein expression levels of CCND1 in SKOV-3 cells were detected by Western blot. Based on the above experiments, the expression of circ-RNF111 was found to be up-regulated in SKOV-3, and the knockdown of circ-RNF111 significantly inhibited the proliferation and viability of SKOV-3 cells. Then we confirmed that circ-RNF111 sponged miR-556-5p in SKOV-3 cells to up-regulate CCND1 expression. In addition, simultaneous inhibition of miR-556-5p or overexpression of CCND1 in SKOV-3 cells with knockdown of circ-RNF111 reversed the inhibitory effect of knockdown of circ-RNF111 on the protein expression level of CCND1, cell proliferation rate, and cell viability. In summary, circ-RNF111 promotes the proliferation of SKOV-3 cells by targeting the miR-556-5p/CCND1 axis. Circ-RNF111 may serve as a potential target for ovarian cancer therapy.

Environmental physical factors produce mitotic aberration and multicellularity in the ovarian cancer cell line SKOV3

The spread of ovarian cancer (OC) to the coelomic cavity triggers the secretion and accumulation of ascitic fluid (AF). Although its biochemical composition has been well studied, less is known about the implications of physical factors such as the pH and the mechanical properties of the AF for the malignancy of tumor cells. In this work, we investigated the effect of pH and the mechanical properties of AF on cell proliferation and mitotic morphology. We employed biopsies from patients with OC and the SKOV3 cell line as an in vitro model of OC with HeLa cells as controls. Sections of each tumor were stained with HE, analyzed, and related to clinical data. AF from patients with OC exhibited an alkaline pH (ranging from 7.3 to 7.8). Compared to control conditions, the 3 AFs significantly enhanced the proliferation of SKOV3 and HeLa cells. These effects were more pronounced at a more alkaline pH. In addition, we found that AFs have different densities that correlated with a significant increase in multinucleated tumor cells and severe morphological defects in cells undergoing mitosis. In agreement with these data, we found that higher concentrations of soft agar provoked significantly higher numbers of multinucleated and morphologically abnormal SKOV3 cells with no effect on HeLa cells.We conclude that an alkaline pH and greater rigidity could enhance the metastatic potential of OC cells. We propose that these two physical factors could be parameters of clinical importance as predictors of malignancy.

Pb-214/Bi-214-TCMC-Trastuzumab inhibited growth of ovarian cancer in preclinical mouse models

Introduction: Better treatments for ovarian cancer are needed to eliminate residual peritoneal disease after initial debulking surgery. The present study evaluated Trastuzumab to deliver Pb-214/Bi-214 for targeted alpha therapy (TAT) for HER2-positive ovarian cancer in mouse models of residual disease. This study is the first report of TAT using a novel Radon-222 generator to produce short-lived Lead-214 (Pb-214, t1/2 = 26.8 min) in equilibrium with its daughter Bismuth-214 (Bi-214, t1/2 = 19.7 min); referred to as Pb-214/Bi-214. In this study, Pb-214/Bi-214-TCMC-Trastuzumab was tested.Methods: Trastuzumab and control IgG antibody were conjugated with TCMC chelator and radiolabeled with Pb-214/Bi-214 to yield Pb-214/Bi-214-TCMC-Trastuzumab and Pb-214/Bi-214-TCMC-IgG1. The decay of Pb-214/Bi-214 yielded α-particles for TAT. SKOV3 and OVAR3 human ovarian cancer cell lines were tested for HER2 levels. The effects of Pb-214/Bi-214-TCMC-Trastuzumab and appropriate controls were compared using clonogenic assays and in mice bearing peritoneal SKOV3 or OVCAR3 tumors. Mice control groups included untreated, Pb-214/Bi-214-TCMC-IgG1, and Trastuzumab only.Results and discussion: SKOV3 cells had 590,000 ± 5,500 HER2 receptors/cell compared with OVCAR3 cells at 7,900 ± 770. In vitro clonogenic assays with SKOV3 cells showed significantly reduced colony formation after Pb-214/Bi-214-TCMC-Trastuzumab treatment compared with controls. Nude mice bearing luciferase-positive SKOV3 or OVCAR3 tumors were treated with Pb-214/Bi-214-TCMC-Trastuzumab or appropriate controls. Two 0.74 MBq doses of Pb-214/Bi-214-TCMC-Trastuzumab significantly suppressed the growth of SKOV3 tumors for 60 days, without toxicity, compared with three control groups (untreated, Pb-214/Bi-214-TCMC-IgG1, or Trastuzumab only). Mice-bearing OVCAR3 tumors had effective therapy without toxicity with two 0.74 MBq doses of Pb-214/Bi-214-TCMC-trastuzumab or Pb-214/Bi-214-TCMC-IgG1. Together, these data indicated that Pb-214/Bi-214 from a Rn-222 generator system was successfully applied for TAT. Pb-214/Bi-214-TCMC-Trastuzumab was effective to treat mouse xenograft models. Advantages of Pb-214/Bi-214 from the novel generator systems include high purity, short half-life for fractioned therapy, and hourly availability from the Rn-222 generator system. This platform technology can be applied for a variety of cancer treatment strategies.

Synthesis and biological evaluation of selective Pepstatin based trifluoromethylated inhibitors of Cathepsin D

Cathepsin D (CD) is overexpressed in several types of cancer and constitutes an important biological target. Pepstatin A, a pentapeptide incorporating two non-proteinogenic statin residues, is among the most potent inhibitor of CD but lacks selectivity and suffers from poor bioavailability. Eight analogues of Pepstatin A, were synthesized, replacing residues in P3 or P1 position by non-canonical (S)- and (R)-α-Trifluoromethyl Alanine (TfmAla), (S)- and (R)-Trifluoromethionine (TFM) or non-natural d-Valine. The biological activities of those analogues were quantified on isolated CD and Pepsin by fluorescence-based assay (FRET) and cytotoxicity of the best fluorinated inhibitors was evaluated on SKOV3 ovarian cancer cell line. (R)-TFM based analog of Pepstatin A (compound 6) returned a sub-nanomolar IC50 against CD and an increased selectivity. Molecular Docking experiments could partially rationalize these results. Stabilized inhibitor 6 in the catalytic pocket of CD showed strong hydrophobic interactions of the long and flexible TFM side chain with lipophilic residues of S1 and S3 sub-pockets of the catalytic pocket. The newly synthesized inhibitors returned no cytotoxicity at IC50 concentrations on SKOV3 cancer cells, however the compounds derived from (S)-TfmAla and (R)-TFM led to modifications of cells morphologies, associated with altered organization of F-actin and extracellular Fibronectin.

Effect of sea cucumber glycosides on ovarian cancer cell line SKOV3: an in vitro and in silico study

Effect of sea cucumber glycosides on ovarian cancer cell line SKOV3: an in vitro and in silico study

Therapeutic Efficacy of Prodrug Activator Gene Therapy Using Retroviral Replicating Vectors for Human Ovarian Cancer.

Retroviral replicating vectors (RRV) have exhibited efficient tumor transduction and improved therapeutic benefits in a variety of cancer models. In this study, we validated two RRV created from amphotropic murine leukemia virus (AMLV) and gibbon ape leukemia virus (GALV), which use different cell receptors for virus entry, in human ovarian cancer (OC) cells. Expression levels of the receptors for AMLV (PiT-2) and GALV (PiT-1) in human OC cell lines (A2780, Caov3, RMG-1, SKOV-3), fibroblasts and HEK293 cells were evaluated using quantitative RT-PCR. In vitro RRV-GFP replication was monitored using flow cytometry, and cytotoxicity quantitated using AlamarBlue assay after 5-fluorocytosine treatment of OC cells transduced with RRV expressing the yeast cytosine deaminase prodrug activator gene. In vivo antitumor effect of RRV-mediated prodrug activator gene therapy was investigated in a SKOV-3 subcutaneous tumor model. Quantitative RT-PCR analysis revealed high expression levels of PiT-2 (AMLV receptor) and PiT-1 (GALV receptor) in the RMG-1 and SKOV3 OC cell lines, compared with their levels in non-malignant cells. In RMG-1 and SKOV3 cells, both RRV showed highly efficient RRV replication and spread leading to over 90% transduction by Days 10-13. Additionally, both RRV that express the yeast cytosine deaminase gene demonstrated effective cell killing of RMG-1 and SKOV-3 cells upon treatment with the prodrug 5-fluorocytosine. Notably, RRV-mediated prodrug activator gene therapy showed significant inhibition of subcutaneous SKOV-3 tumor growth in nude mice. RRV-mediated prodrug activator gene therapy may be used for treating PiT-expressing human OC.

Suitable reference gene for silencing methods using microRNA encapsulated nanoparticles chitosan for the ovarian cancer cell line

MicroRNAs (miRNAs) are key regulators of gene expression, and their accurate quantification is essential for elucidating miRNA functional roles. Quantitative reverse transcription PCR (qRT-PCR) is widely utilized for miRNA expression analyses, although appropriate data normalization is critical for generating reliable results. The present study aimed to identify a suitable reference gene for normalizing miRNA qRT-PCR data in the ovarian cancer cell line SKOV-3. SKOV-3 cells were treated with miRNA-loaded chitosan nanoparticles or left untreated as a control. Total RNA, including small RNAs, was extracted from SKOV-3 cells and assessed for quality. The expression stability of 15 candidate reference genes was evaluated by GeNorm analysis. miR-584-5p was identified as the most stably expressed reference gene. To validate miRNA profiling, miR-584-5p was used to normalize expression levels, revealing distinct patterns of differential miRNA expression. Our findings provide critical insights into aberrant miRNA expression in ovarian cancer cells and underscore proper normalization as essential for accurate quantification of miRNAs by qRT-PCR.