Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic profiles of ovarian cancer cells isolated from paired cancer ascites before and after chemotherapy

ABSTRACT: Chemotherapy in complex with surgical removal remain the most common approaches in cancer treatment, but their effectiveness is limited by the emergence of chemoresistance. In order to reveal changes in transcriptomic profiles of cancer cells remaining after platinum-based chemotherapy, we created primary cultures of cancer cells isolated from paired ascites of ovarian cancer patients taken at the time of diagnosis and after neoadjuvant chemotherapy. Enrichment analysis revealed significant activation of genes associated with DNA repair and cell cycle regulation in tumor cells after chemotherapy.

ORGANISM(S): Homo sapiens

PROVIDER: GSE241908 | GEO | 2024/04/24

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Proteome profiles of paired ovarian cancer ascites before and after chemotherapy

Project description:Ovarian cancer is characterized by transcoelomic metastasis into the peritoneal cavity. The peritoneal malignant ascites is enriched with ovarian cancer cells and a small amount of tumor-associated immune cells which create a unique microenvironment actively contributing to progression of the disease. However, it is remain unclear how cancer cells communicate to its local environment under the influence of chemotherapy. To address this issue, we performed LC-MS/MS analyses of ovarian cancer ascites from the same patients before and after chemotherapy. We found that neoadjuvant chemotherapy causes a significant changes in the composition of ascites, and these changes are similar in samples obtained from all patients (n=10). Functional annotation of upregulated proteins with the use of KEGG and GO databases revealed that malignant ascites after chemotherapy were enriched with the cluster of spliceosomal proteins. These splicing factors were linked to induction of epithelial-to-mesenchymal transition leading to a more aggressive phenotype of cancer cells.

2024-05-29 | PXD019327 | Pride

Effect of malignant ascites before and after therapy on the proteome of ovarian cancer cells

Project description:Ovarian cancer is characterized by transcoelomic metastasis into the peritoneal cavity. The peritoneal malignant ascites is enriched with ovarian cancer cells and a small amount of tumor-associated immune cells which create a unique microenvironment actively contributing to progression of the disease. However, it remains unclear how cancer cells communicate to its local environment under the influence of chemotherapy. To address this issue, we performed LC-MS/MS analyses of several primary cultures of ovarian cancer cells from chemonaive malignant ascites incubated for 3 days with autologous pre- or post-chemotherapy ascitic fluids. Enrichment analysis identified prominent upregulation of proteins associated with pathways of DNA repair and cell cycle regulation in tumor cells incubated with ascitic fluids after chemotherapy. Consistently with these data, ascites after therapy increased the resistance of ovarian cancer cells to cisplatin. These findings demonstrate that under stress condition cancer cells can secrete signaling molecules into the extracellular space and contribute to the emergence of tumor chemoresistance during short time period.

2024-05-29 | PXD045647 | Pride

Transcriptomes of tumour-associated macrophages from high grade serous ovarian cancer pre- and post-platinum-based neoadjuvant chemotherapy.

Project description:The impact of platinum and taxol based neoadjuvant chemotherapy on tumour-associated macrophages (TAMs) was examined by analysis of TAMs extracted from high grade serous ovarian cancer (HGSOC) samples pre and post chemotherapy.

2021-04-20 | GSE158739 | GEO

Ascites-derived circulating microRNAs as potential diagnostic biomarkers of gastric cancer-associated malignant ascites

Project description:Peritoneal carcinomatosis with malignant ascites is associated with dismal prognosis in gastric cancer. Malignant ascites is the most relevant body fluid in which to seek diagnostic biomarkers for peritoneal carcinomatosis. We aimed to identify and validate ascites-derived circulating microRNAs (miRNAs) that are differentially expressed between liver cirrhosis-associated benign ascites (LC-ascites) and gastric cancer-associated malignant ascites (GC-ascites). MiRNA expression levels were investigated in three independent cohorts. Overall, 165 ascites samples (73 LC-ascites and 92 GC-ascites) were obtained from the National Biobank of Korea. Initially, microarrays were used to screen the expression levels of 2,006 miRNAs in the discovery cohort (n = 22). Subsequently, quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) analyses were used to validate the expression levels of selected miRNAs in the training (n = 70) and validation (n= 73) cohorts. In addition, the levels of carcinoembryonic antigen (CEA), a commonly used tumor marker, were determined in the ascites samples. Expression levels of miR-574-3p, miR-181b-5p, miR-4481, and miR-181d were significantly lower in the GC-ascites samples than in the LC-ascites samples, and miR-181b-5p showed the best diagnostic performance for GC-ascites (area under the curve [AUC] = 0.798 and 0.846 for the training and validation cohorts, respectively). The diagnostic performance of CEA for GC-ascites was improved if CEA and miR-181b-5p were analyzed together (AUC = 0.981 and 0.946 for the training and validation cohorts, respectively). Overall, we identified ascites-derived circulating miRNAs capable of differentiating non-malignant ascites and GC-ascites, and demonstrated that the combined use of miR-181b-5p and CEA produces the optimal diagnostic yield.

2019-02-12 | GSE126399 | GEO

Gastric cancer ascites proteome

Project description:Gastric cancer is one of the most lethal malignancies with high mortality and gastric cancer-specific biomarker is need due to the lack of specific method for early screening, diagnosis, and prognosis of the patients with gastric cancer. Ascites is known for an important source for conducing biomarker discovery because it contains the secreted proteins from malignant cells, growth factors, and cytokines. In this study, we have conducted a comprehensive proteome study using ascites of patients with inflammatory diseases and gastric cancer. In the discovery stage, we have identified 2761 ascites-specific proteins, where 234 proteins were quantitated using the label free quantitation method, the normalized spectral abundance factor (NSAF); 152 and 82 proteins showed up and down-regulated pattern, respectively. Our ascites proteome can be used as baseline data for the discovery of novel biomarkers of the gastric cancer.

2018-04-16 | PXD002213 | Pride

Transcriptomic profiles of ovarian cancer cells incubated with autologous ascitic fluids from patients before and after chemotherapy

Project description:Ovarian cancer is characterized by transcoelomic metastasis into the peritoneal cavity. The peritoneal malignant ascites is enriched with ovarian cancer cells and a small amount of tumor-associated immune cells which create a unique microenvironment actively contributing to progression of the disease. However, it is remain unclear how chemonaive and post-chemotherapy ovarian cancer ascitic fluids influence on cancer cells. To address this issue, we performed RNAseq analysis of primary cultures of ovarian cancer cells incubated for 3 days in the presence of ascites from the same patients before and after chemotherapy. We found that ascites after therapy causes a significant changes in transcriptomic profiles of cancer cells, and these changes are similar in samples obtained from all patients (n=4). Enrichment analysis of differentially expressed genes in tumor cells incubated with ascites after chemotherapy identified prominent up-regulation of genes associated with DNA repair, mitotic cell cycle regulation, and cell cycle checkpoints. These findings demonstrate how ascitic fluids persisted after chemotherapy can contribute to the emergence of tumor chemoresistance during short time period.

2024-04-24 | GSE241909 | GEO

A novel signature of twelve-gene to evaluate neoadjuvant chemotherapy response and predict prognosis in breast cancer

Project description:In this study, we have analyzed the transcriptional patterns of breast cancer cell lines and tumors of NAC resistant patients evaluated by GGI, and screened potential genes associated with chemoresistance. Furthermore, we have constructed a neoadjuvant chemotherapy response risk model and examined the evaluation accuracy of the risk score for NAC response. We conducted molecular bioinformatics analysis of the genes that constitute the chemotherapy resistance risk score, and explored potential drugs to reverse breast cancer chemotherapy resistance. Finally, we have examined the the risk score for predicting prognosis in breast cancer. In all, we have reported a novel signature to evaluate neoadjuvant chemotherapy response and predicts prognosis in breast cancer, and screened out potential drugs to reverse chemotherapy resistance in breast cancer.

2022-10-11 | GSE197931 | GEO

Immunologic adapatations of high grade serous ovarian cancer patients to neoadjuvant carboplatin and paclitaxel therapy

Project description:770 genes as well as pathways and deconvoluted immune cell types were determined pre- and post-neoadjuvant chemotherapy in a cohort of 31 stage III-IV high grade serous ovarian cancer (HGSOC) patients, and associations were made with the duration of their platinum-free interval n/a

2022-09-28 | GSE201600 | GEO

Chemotherapy induces myeloid-driven spatial T-cell exhaustion in ovarian cancer

Project description:To characterize the spatial tumor microenvironment (TME) of high-grade serous ovarian cancer (HGSC) at the single cell level, we performed single-cell RNA sequencing (scRNA-seq) on 48 tumor or ascites samples from 29 HGSC patients. This data set includes paired scRNA-seq data from chemo-naive and post-neoadjuvant chemotherapy (IDS) samples of 22 HGSC patients.

2024-10-08 | GSE266577 | GEO

TMT-based Quantitative Proteomics Identifies Protein Markers of Resistance to Neoadjuvant Chemotherapy in Ovarian Cancer

Project description:The high rate of recurrence and chemoresistance necessitates in ovarian cancer warrants further research into tumor markers characterizing the resistant population. The proportion of drug-resistant tissue cells in residual lesions after neoadjuvant chemotherapy increases, and drug-resistant markers are enriched. However, there is a lack of comprehensive understanding of tumor marker predoninance pre- and post- neoadjuvant chemotherapy. Here we performed quantitative proteomic analysis of TMT in three patients with matched pretreatment biopsies and post-NACT ovarian cancer tissues. This study highlights a dominant molecular subpopulation that persists in the ovary after neoadjuvant chemotherapy exposure in order to elucidate how it is involved in mediating chemotherapy response, which will lay the foundation for the development.

2023-08-01 | PXD044243 |

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data