Dataset Information

Infinium MethylationEPIC BeadChip array data for HGSOC PH039 PDXs at baseline and treated with cycles of 100 mg/kg niraparib for 21 days for four treatment rounds and murine sample.

ABSTRACT: Infinium MethylationEPIC BeadChip array data for HGSOC PH039 PDXs at baseline and treated with cycles of 100 mg/kg niraparib for 21 days for four treatment rounds and murine sample.

PROVIDER: PRJNA693040 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Similar Datasets

Project description:Background: In high-grade serous ovarian cancer (HGSOC) intrinsic and/or acquired resistance against platinum-containing chemotherapy is a major obstacle for successful treatment. A low frequency of somatic mutations, but frequent epigenetic alterations including DNA methylation in HGSOC tumors, presents the cancer epigenome as a relevant target for innovative therapy. Patient-derived xenografts (PDXs) supposedly are good preclinical models for identifying novel drug targets. However, the representativeness of global methylation status of HGSOC PDXs compared to their original tumors has not been evaluated. Aims of this study were to explore how representative HGSOC PDXs are for their corresponding patient tumors methylome and to evaluate the effect of epigenetic therapy and cisplatin on putative epigenetically regulated genes and their related pathways in PDXs. Methods: Genome-wide analysis of the DNA methylome of HGSOC patients with their corresponding PDXs, from different generations, was performed using Infinium 450K. Further, we analyzed global methylome changes after treatment of HGSOC PDXs with the FDA approved demethylating agent decitabine and cisplatin. Findings were validated by bisulfite pyrosequencing with subsequent pathway analysis. Publicly available datasets comprising HGSOC patients were used to analyze the predictive/prognostic value of the identified genes. Results: Only 0.6-1.0% of all analyzed CpGs (388,696 CpGs) changed significantly (p<0.01) during propagation showing that HGSOC PDXs are epigenetically stable. Treatment of F3 PDXs with decitabine caused a significant reduction in methylation in 10.6% of CpG sites in comparison to untreated PDXs (p<0.01, FDR<10%). Cisplatin treatment had a marginal effect on the PDX methylome. Pathway analysis of decitabine-treated PDX tumors revealed several putative epigenetically regulated pathways (e.g. Src family kinase pathway). Particularly, C-terminal Src kinase (CSK) gene was successfully validated for epigenetic regulation in different PDX models and ovarian cancer cell lines. Low CSK methylation and high CSK expression were both significantly associated (p<0.05) with improved progression free survival and overall survival in HGSOC patients. Conclusion: HGSOC PDXs resemble the global epigenome of patients over many generations, which can be modulated by epigenetic drugs. Novel epigenetically regulated genes such as CSK and related pathways were identified in HGSOC. Our results encourage future application of PDXs for cancer epigenome studies.

Project description:Introduction/ Background: The epigenome represents and adds another facet of complexity to cancer that needs to be understood to categorize patients into those at risk of disease, recurrence, or treatment failure. Our goal is to compare DNA methylation status between controls vs HGSOC, and relate it with clinical outcomes. Methodology: A retrospective review of our institution’s advanced/ recurrent HGSOC patients yielded 99 cases with good quality DNA and RNA. 12 normal fallopian tubes were also collected and used as controls. Infinium Illumina methylationEPIC was used to characterize DNA methylation status and RNA seq to evaluate gene expression. T- tests were used to compare methylation patterns between controls vs HGSOC, primary vs recurrent, and optimal vs suboptimal surgical outcomes. Spearman’s rank correlation was used to evaluate association between degree of methylation and expression of identified genes. Validation of our findings used the cancer genome atlas (TCGA) database followed by C-statistics to assess degree of agreement. Results: Out of 66,069 methylation probes that interrogate known genes, 5,852 probes were significantly different between normal and HGSOC. This includes genes that are enriched in several pathways such as the RAS signaling pathway. A similar analysis of the TCGA database showed 2,075 differentially methylated probes. 1,891 probes were significant in both datasets giving a 70.1% degree of agreement. When comparing differential DNA methylation between primary and recurrent disease, there were 57 probes which represent 17 genes that were significantly different. When comparing optimal vs suboptimal surgical outcomes, 99 probes were significantly different wherein 29 genes show expected inverse correlation between methylation status and gene expression. Conclusions: There are significant differences in methylation patterns between HGSOC and fallopian tubes, primary vs recurrent tissues, and optimal vs sub-optimal surgical outcomes. Cataloging these phenomena in a well characterized clinical population will aid in determining groupings for precision medicine treatment cohorts in the future.

Dataset Information

Infinium MethylationEPIC BeadChip array data for HGSOC PH039 PDXs at baseline and treated with cycles of 100 mg/kg niraparib for 21 days for four treatment rounds and murine sample.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets