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Characterizing the Chemoresistant Ovarian Cancer Population using the Heterogeneous PDX

ABSTRACT: The patient-derived xenograft (PDX) model retains the heterogeneity of patient tumors, allowing a means to not only examine efficacy of a therapy across a population, but also study crucial aspects of cancer biology in response to treatment. Herein we describe the development and characterization of an ovarian-PDX model in order to study the development of chemoresistance. We demonstrate that PDX tumors are not simply composed of tumor-initiating cells, but recapitulate the original tumor’s heterogeneity, oncogene expression profiles, and clinical response to chemotherapy. Combined carboplatin/paclitaxel treatment of PDX tumors enriches the cancer stem cell populations, but persistent tumors are not entirely composed of these populations. RNA-Seq analysis of treated PDX tumors compared to untreated tumors demonstrates a consistently contrasting genetic profile after therapy, suggesting similar, but few, pathways are mediating chemoresistance. The pathways most significantly altered included Protein Kinase A signaling, GNRH signaling, and sphingosine-1-phosphate signaling. Pathways and genes identified by this methodology represent novel approaches to targeting the chemoresistant population in ovarian cancer

ORGANISM(S): Homo sapiens

PROVIDER: GSE58586 | GEO | 2015/06/17

SECONDARY ACCESSION(S): PRJNA252939

REPOSITORIES: GEO

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Characterizing the Chemoresistant Ovarian Cancer Population using the Heterogeneous PDX

Project description:The patient-derived xenograft (PDX) model retains the heterogeneity of patient tumors, allowing a means to not only examine efficacy of a therapy across a population, but also study crucial aspects of cancer biology in response to treatment. Herein we describe the development and characterization of an ovarian-PDX model in order to study the development of chemoresistance. We demonstrate that PDX tumors are not simply composed of tumor-initiating cells, but recapitulate the original tumor’s heterogeneity, oncogene expression profiles, and clinical response to chemotherapy. Combined carboplatin/paclitaxel treatment of PDX tumors enriches the cancer stem cell populations, but persistent tumors are not entirely composed of these populations. RNA-Seq analysis of treated PDX tumors compared to untreated tumors demonstrates a consistently contrasting genetic profile after therapy, suggesting similar, but few, pathways are mediating chemoresistance. The pathways most significantly altered included Protein Kinase A signaling, GNRH signaling, and sphingosine-1-phosphate signaling. Pathways and genes identified by this methodology represent novel approaches to targeting the chemoresistant population in ovarian cancer 6 pairs of Patient-Derived Xenografts (PDX) were ananlyzed using RNA-seq for a total of 12 samples. Each pair consists of a treated and untreated PDX of ovarian cancer. Treated Ovarian cancer PDXs were treated with 4 weeks of a combination of carboplatin and taxol. RNA was isolated and converted to cDNA. RNA-seq was conductred on the Illumina HiSeq 2000 with 50 bp paired end sequencing

2015-06-17 | E-GEOD-58586 | biostudies-arrayexpress

Chemoresistant Cancer Cell Lines are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations.

Project description:Chemoresistance remains the major barrier to effective ovarian cancer treatment. The molecular features and associated biological functions of this phenotype remain poorly understood. We developed carboplatin resistant cell line models using OVCAR5 and CaOV3 cell lines with the aim of identifying chemoresistance-specific molecular features. Chemotaxis and CAM invasion assays revealed enhanced migratory and invasive potential in OVCAR5 resistant, compared to parental cells lines. Mass spectrometry analysis was used to analyse the metabolome and proteome of these cell lines and was able to separate these populations based on their molecular features. It revealed signalling and metabolic perturbations in chemoresistant cell lines. Comparison with the proteome of patient derived primary ovarian cancer cells grown in culture showed a shared dysregulation of cytokine and type 1 interferon signalling, potentially revealing a common molecular feature of chemoresistance. A comprehensive analysis of a larger patient cohort, including advanced in vitro and in vivo models, promises to help better understand the molecular mechanisms of chemoresistance and associated enhancement of migration and invasion.

2022-08-11 | PXD034246 | Pride

Chemoresistant Ovarian Cancer Global Metabolomics

2021-12-05 | ST002010 | MetabolomicsWorkbench

The chromatin landscape of high-grade serous ovarian cancer metastasis identifies potential regulatory drivers of chemoresistant tumour cells

Project description:Disease recurrence following chemotherapy is a major clinical challenge in ovarian cancer (OC) but little is known regarding how the tumour epigenome regulates transcriptional programs underpinning chemoresistance. We determined the single cell chromatin accessibility landscape of omental OC metastasis from treatment naïve and neoadjuvant chemotherapy-treated patients and defined the chromatin accessibility profiles of epithelial, fibroblast, myeloid and lymphoid cells. Epithelial tumour cells displayed open chromatin regions enriched with motifs for the oncogenic transcription factors MEIS and PBX. Chemotherapy drove profound tumour heterogeneity and selection for cells with accessible chromatin enriched for TP53, TP63 and resistance-pathway-activating TF motifs. Nuclear receptors RORa, NR2F6 and HNF4NG were identified as candidate transcriptional drivers of stress-associated chemotherapy resistance whilst closure of binding sites for E2F2 and E2F4 indicated low proliferative capacity of resistant tumour subsets. Delineation of the epigenetic landscape of chemoresistant ovarian cancer therefore reveals core transcriptional regulators of chemoresistance and identifies potential novel therapeutic approaches for improving clinical outcome.

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Genome-wide profiling of long noncoding RNA expression patterns in chemoresistant breast cancer cells

Project description:Long non-coding RNAs (lncRNAs) are involved in cancer progression. In this study, the lncRNA profiling were analyzed in chemoresistant and sensitive breast cancer cells. We found a group of dysregulated lncRNAs in chemoresistant cells. Expression of dysregulated lncRNAs are correlated with dysregulated mRNAs, and enriched in GO and KEGG pathways related with cancer progression and chemoresistance development. Within those lncRNA-mRNA interactions, some lncRNAs may cis-regulate neighboring protein coding genes and involved in chemoresistance. The lncRNA NONHSAT028712 was then validated to regulate nearby CDK2 and interfere with cell cycle and chemoresistance. Furthermore, we identified another group of lncRNAs trans-regulated gene expression via interacting with different transcription factors (TF). Whereby NONHSAT057282 and NONHSAG023333 was found to modulate chemoresistance and most likely interacted with ELF1 and E2F1 respectively. In conclusion, this study reported for the first time the lncRNA expression patterns in chemoresistant breast cancer cells, and provided a group of novel lncRNA targets in mediating chemoresistance development in both cis- and trans- action mode. MCF-7/ADM replication 3 times, MCF-7/WT replication 3 times

2016-05-28 | E-GEOD-81971 | biostudies-arrayexpress

Gene expression patterns of chemoresistant and chemosensitive serous epithelial ovarian tumors with possible predictive value in response to initial chemotherapy

Project description:Chemotherapy (CT) resistance in ovarian cancer is broad and encompasses diverse, unrelated drugs, suggesting more than one mechanism of resistance. We aimed to analyze the gene expression patterns in primary serous epithelial ovarian cancer (EOC) samples displaying different responses to first-line CT in an attempt to identify specific molecular signatures associated with response to CT. Initially, the expression profiles of 15 chemoresistant serous EOC tumors [time to recurrence (TTR) ≤6 months] and 10 chemosensitive serous EOC tumors (TTR ≥30 months) were independently analyzed which allowed the identification of specific sets of differentially expressed genes that might be functionally implicated in the evolution of the chemoresistant or the chemosensitive phenotype. Our data suggest that the intrinsic chemoresistance in serous EOC cells may be attributed to the combined action of different molecular mechanisms and factors linked with drug influx and efflux and cell proliferation, as possible implications of other molecular events including altered metabolism, apoptosis and inflammation cannot be excluded. Next, gene expression comparison using hierarchical clustering clearly distinguished chemosensitive and chemo- resistant tumors from the 25 serous EOC samples (training set), and consecutive class prediction analysis was used to develop a 43-gene classifier that was further validated in an independent cohort of 15 serous EOC patients and 2 patients with other ovarian cancer histotypes (test set). The 43-gene predictor set properly classified serous EOC patients at high risk for early (≤22 months) versus late (>22 months) relapse after initial CT. Thus, gene expression array technology can effectively classify serous EOC tumors according to CT response. The proposed 43-gene model needs further validation. 2 condition experiment: chemoresistant clinical samples versus chemosensitive samples

2011-07-23 | E-GEOD-28739 | biostudies-arrayexpress

Targeting neddylation and sumoylation in chemoresistant triple negative breast cancer

Project description:Triple negative breast cancer (TNBC) accounts for 15-20% of breast cancer cases in the United States. Systemic neoadjuvant chemotherapy (NACT), with or without immunotherapy, is the current standard of care for patients with early-stage TNBC. However, up to 70% of TNBC patients have significant residual disease once NACT is completed, which is associated with a high risk of developing recurrence within two to three years of surgical resection. To identify targetable vulnerabilities in chemoresistant TNBC, we generated longitudinal patient-derived xenograft (PDX) models from TNBC tumors before and after patients received NACT. We then compiled transcriptomes and drug response profiles for all models. Transcriptomic analysis identified the enrichment of aberrant protein homeostasis pathways in models from post-NACT tumors relative to pre-NACT tumors. This observation correlated with increased sensitivity in vitro to inhibitors targeting the proteasome, heat shock proteins, and neddylation pathways. Pevonedistat, a drug annotated as a NEDD8-activating enzyme (NAE) inhibitor, was prioritized for validation in vivo and demonstrated efficacy as a single agent in multiple PDX models of TNBC. Pharmacotranscriptomic analysis identified a pathway-level correlation between pevonedistat activity and post-translational modification (PTM) machinery, particularly involving neddylation and sumoylation targets. Elevated levels of both NEDD8 and SUMO1 were observed in models exhibiting a favorable response to pevonedistat compared to those with a less favorable response in vivo. Moreover, a correlation emerged between the expression of neddylation-regulated pathways and tumor response to pevonedistat, indicating that targeting these PTM pathways may prove effective in combating chemoresistant TNBC.

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Upregulated mRNAs and lncRNAs in chemoresistant breast cancer

Project description:Chemoresistance is a major cause of poor prognosis of breast cancer.More and more mRNAs and lncRNAs are reported to upregulate chemoresistance in breast cancer.To explore the how mRNAs and lncRNAs involved in chemoresistance of breast cancer,we sceened upregulated mRNAs and lncRNA from parental MCF-7 , chemoresistant MCF-7 cells as well as 4 breast cancer tissue sensitive to chemotherapy and 4 resistant to chemotherapy . Total RNA was extracted using Trizol reagent. Agilent Human lncRNA Microarray V6 (4*180K) was used to analyze the global profiling of human lncRNAs and protein-coding transcripts in these samples. The microarray contains 83,835 lncRNAs and 27,233 coding genes.

2020-02-25 | E-MTAB-8787 | biostudies-arrayexpress

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2016-05-28 | GSE81971 | GEO

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Project description:Angiogenesis, the development of new blood vessels, plays an important role in the disease development and tumor growth in many solid organ malignancies. Bevacizumab was the first anti-angiogenic drug to be approved in solid tumors and has shown advantageous activity with multiple tumor types. However, the responses from Bevacizumab are often transient due to the tumor’s manipulative abilities to circumvent the usual pathways to find salvage pathways instead. Nintedanib has demonstrated anti-tumor activity in non-squamous non-small cell lung cancer, colorectal cancer, ovarian cancer, and renal cell cancer. The combination of Bevacizumab and Nintedanib are being proposed to target the tumor’s manipulation processes to generate alternate pathways for angiogenesis thus creating a potential benefit to delay tumor growth.

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