DNA methylation profiling of primary and metastasis ccRCC tumors
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE105260 | GEO | 2018/10/16
REPOSITORIES: GEO
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Project description:Metastatic clear cell renal cell carcinoma (ccRCC) has a poor prognosis and unpredictable course and there are no molecular markers that reliably predict ccRCC metastasis. In this study, specimens from 84 patients with ccRCC were directly cultured in vitro. The primary cultures from 38 of 94 specimens contained more than 90% tumor cells at 4th passages. After identified by immunostaining, the primary cultures of metastatic- and nonmetastatic ccRCC specimens from the age-, gender-matched patients were subjected to cDNA microrray assays. A total of 842 differentially expressed genes with FDR (false discovery rate) = 4.79% were identified by using SAM (Significance Analysis of Microarray) software. Pathway enrichment and co-occurrence with “cancer”, “metastasis” and “invasion” in the literature annotations enriched the functions of the 842 genes and indicated the reliability of our microarray assays. Novel genes associated with metastasis were selected based on intra-molecular interaction between 205 differentially expressed genes co-occurred with “metastasis” and those not appeared with “metastasis” on Medline, as well as co-expression analysis between 205 differentially expressed genes co-occurred with “metastasis” and those not appeared on Medline in 12 microarray data. FSTL1, AV722783, SLC15A1, DDX17, ORC2L and PKMYT1 were proved to be potential ccRCC metastasis-associated novel genes, based on its expression patterns in the cultures and tumor tissues. Interestingly, the up-regulated genes (CAV1, PKMYT1 and ORC2L) were up-regulated and the down-regulated genes (FSTL1, GSTM3, CYR61, SLC15A1 and AV722783) were down-regulated, in the primary ccRCC specimens as compared with its adjacent normal kidney in 37 patients (determined by semi-quantitative RT-PCR). This study provides potential biomarkers and novel molecular targets for the early diagnosis and treatment of ccRCC metastasis. Keywords: Homo sapiens Because of limited cell number of primary cultures, total RNA of the primary cultures from 2 age and gender matched patients was pooled for each microarray assay. Each assay was technically repeated once. Cy3-labeled 1st cDNA synthesized from total RNA of the metastatic ccRCC pool was mixed with Cy5-labeled 1st cDNA synthesized from total RNA of the non-metastatic ccRCC pool, and hybridized to 16K cDNA chips (GEO Platform ID: GPL6259; SBC-R-HC-100-22, National Engineering Center for Biochip, Shanghai, China) that included 14784 unigenes, 241 negative controls and 527 positive controls. In our study we used a co-expression analysis for the relationship between genes; three gastric cancer Samples were only introduced to this analysis methods.
2008-08-27 | E-GEOD-11072 | biostudies-arrayexpress
Project description:Metastatic clear cell renal cell carcinoma (ccRCC) has a poor prognosis and unpredictable course and there are no molecular markers that reliably predict ccRCC metastasis. In this study, specimens from 84 patients with ccRCC were directly cultured in vitro. The primary cultures from 38 of 94 specimens contained more than 90% tumor cells at 4th passages. After identified by immunostaining, the primary cultures of metastatic- and nonmetastatic ccRCC specimens from the age-, gender-matched patients were subjected to cDNA microrray assays. A total of 842 differentially expressed genes with FDR (false discovery rate) = 4.79% were identified by using SAM (Significance Analysis of Microarray) software. Pathway enrichment and co-occurrence with “cancer”, “metastasis” and “invasion” in the literature annotations enriched the functions of the 842 genes and indicated the reliability of our microarray assays. Novel genes associated with metastasis were selected based on intra-molecular interaction between 205 differentially expressed genes co-occurred with “metastasis” and those not appeared with “metastasis” on Medline, as well as co-expression analysis between 205 differentially expressed genes co-occurred with “metastasis” and those not appeared on Medline in 12 microarray data. FSTL1, AV722783, SLC15A1, DDX17, ORC2L and PKMYT1 were proved to be potential ccRCC metastasis-associated novel genes, based on its expression patterns in the cultures and tumor tissues. Interestingly, the up-regulated genes (CAV1, PKMYT1 and ORC2L) were up-regulated and the down-regulated genes (FSTL1, GSTM3, CYR61, SLC15A1 and AV722783) were down-regulated, in the primary ccRCC specimens as compared with its adjacent normal kidney in 37 patients (determined by semi-quantitative RT-PCR). This study provides potential biomarkers and novel molecular targets for the early diagnosis and treatment of ccRCC metastasis. Keywords: Homo sapiens
2008-08-27 | GSE11072 | GEO
Project description:Transcriptome analysis of normal kidney, primary and metastasis ccRCC
| PRJNA415083 | ENA
Project description:DNA methylation profiling of primary and metastasis ccRCC tumors
| PRJNA415082 | ENA
Project description:DNA methylation from multi-region normal kidney and ccRCC tumors
2023-05-02 | GSE206049 | GEO
Project description:Patients with polycystic kidney disease (PKD) encounter a high risk of clear cell renal cell carcinoma (ccRCC), a malignant tumor with dysregulated lipid metabolism. SET domain–containing 2 (SETD2) has been identified as an important tumor suppressor gene in ccRCC. However, the role of SETD2 in tumorigenesis during the transition from PKD to ccRCC remains largely unexplored. Herein, we performed metabolomics, lipidomics, transcriptomics and proteomics with SETD2 loss induced PKD-ccRCC transition mouse model. To characterize biological responses triggered by SETD2 deletion during PKD-ccRCC transition at the protein level, we conducted global proteomics studies.
2023-10-31 | PXD038966 | Pride
Project description:To achieve a robust immunocompetent mouse model of human ccRCC, we directly injected adenovirus-associated viruses (AAVs) encoding sgRNAs against VHL and other known/suspected ccRCC tumor suppressor genes into the kidneys of C57BL/6 mice under conditions where Cas9 was under the control of the Pax8 promoter to induce kidney tumors. An AAV targeting Vhl, Pbrm1, Keap1 and Tsc1 reproducibly caused macroscopic ccRCCs that partially resembled human ccRCC tumors with respect to transcriptome and cell of origin and responded to a ccRCC standard of care agent, axitinib.
2024-09-20 | GSE275339 | GEO
Project description:Renal cell carcinoma (RCC) is among the ten most common malignancies. By far, the most common histology is clear cell (ccRCC). The Cancer Genome Atlas and other large scale sequencing studies of ccRCC have been integral to the current understanding of molecular events underlying RCC and its biology. However, these data sets have focused on primary RCC which often demonstrates indolent behavior. In contrast, metastatic disease is the major cause of mortality associated with ccRCC. However, data sets examining metastatic tumor are sparse. We therefore undertook an integrative analysis of gene expression and DNA methylome profiling of metastatic ccRCC in addition to primary RCC and normal kidney. Integrative analysis of the methylome and transcriptome identified over 30 RCC specific genes whose mRNA expression inversely correlated with promoter methylation including several known targets of hypoxia inducible factors (HIFs). Notably, genes encoding several metabolism-related proteins were identified as differentially regulated via methylation. Collectively, our data provide novel insight into biology of aggressive RCC. Furthermore, they demonstrate a clear role for epigenetics in the promotion of HIF signaling and invasive phenotypes in renal cancer.
2018-10-16 | GSE105288 | GEO
Project description:Based on multiple public databases, we investigated the expression level of BGN in ccRCC, its clinical significance, and its association with immune cells. Real-time fluorescence quantitative PCR was employed to validate BGN expression in tumor and adjacent normal tissues. Differential gene analysis, GO-KEGG analysis, and GSEA analysis were performed by RNA sequencing to elucidate the underlying signaling pathways. BGN knockdown cells were generated through lentiviral transfection to examine the impact of BGN on ccRCC. Cell proliferation, migration, and invasion were assessed using CCK8, colony formation, wound healing, Transwell migration, and invasion assays, respectively. Results: Our findings from database analysis and polymerase chain reaction (PCR) revealed a significant upregulation of BGN expression in kidney cancer tissues compared to normal tissues. Further analysis demonstrated a correlation between high BGN expression and ccRCC progression and immune infiltration. In vitro experiments confirmed that BGN silencing effectively inhibited cell proliferation, migration, and invasion of ccRCC. Mechanistically, these effects may be mediated through the MAPK signaling pathway. Conclusion: BGN potentially plays a pivotal role in the progression and metastasis of ccRCC, possibly acting through the MAPK signaling pathway. Therefore, BGN holds promise as a potential therapeutic target for ccRCC.
2024-09-01 | GSE264075 | GEO
Project description:We aimed to assess differences in miRNA expression profiles in transcriptomic molecular subtypes of ccRCC (Beuselinck et al, Clinical Cancer Research 2015) and to correlate miRNAs with overal survival since diagnosis of ccRCC. Sequencing was done for 129 primary ccRCC (formalin-fixed paraffin-embedded surgical resection specimens, previously untreated) and 16 normal kidney specimens. Normal kidney was obtained from the nephrectomy specimens at time of ccRCC removal, in tissue blocks containing only normal kidney (so nót the normal kidney immediately adjacent to ccRCC). The samples were sequenced in 2 major batches (2014 and 2017).
2020-07-22 | E-MTAB-9380 | biostudies-arrayexpress