Discovery of novel biomarkers in renal cell carcinoma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE92482 | GEO | 2019/12/15
REPOSITORIES: GEO
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Project description:Purpose: In this study, we have undertaken the whole proteomic analysis and got a better understanding of biological processes involved in the development and progression of ccRCC. We hope promising biomarkers can be uncovered to facilitate early diagnosis, predict the prognosis and progression, more importantly, to be applied as potential therapeutic targets. Experimental design: Fresh frozen tissue samples were surgically resected from patients with local or locally advanced ccRCC. Trypsin digested proteins were analyzed using TMT-based LC-MS/MS proteomic approach, followed by bioinformatic analysis. A potential prognostic marker FMNL1, annotated with actin cytoskeleton assembly and cell migration, was chosen to be validated in TCGA_KIRC datasets(n=597), further validation sets(n=20) and expanded validation sets(n=97). Results: A total of 657 differentially expressed proteins were identified and quantified between ccRCC and adjacent normal tissues (p-value<0.05, FC>2 or<1/2), of which 186 proteins were up-regulated and 471 proteins were down-regulated. Bioinformatic analysis showed enriched metabolic biological processes and pathways including oxidative phosphorylation, valine, leucine and isoleucine degeneration, propanoate metabolism, fatty-acid degeneration, TCA cycle, glycolysis/gluconeogenesis, etc. Univariate and multivariate analysis defined FMNL1 as an independent negative prognostic marker in the TCGA datasets. High expression of FMNL1 correlated significantly with tumor stage, T stage, lymph node metastasis(P<0.05), and distant metastasis(P<0.05) both in the TCGA-KIRC datasets and expanded validation sets. And KM survival curve illustrated that patients with high FMNL1 protein level had shorter OS time in the expanded validation sets (p=0.0273) Conclusion and clinical relevance: The proteomic results uncovered sophisticated metabolic reprogramming of ccRCC and indicated that the upregulation of rate-limiting enzymes in glycolysis and mitochondrial impairment may be the cause of metabolic reprogramming in ccRCC. Moreover, FMNL1 has been identified as a diagnostic and prognostic marker, and may be implicated in the progression of ccRCC.
2022-02-16 | PXD022919 | Pride
Project description:Clear cell renal cell carcinoma (ccRCC) is the dominant subtype of renal cancer. With currently available therapies, cure of advanced and metastatic ccRCC is achieved only in rare cases. Here, we developed a workflow integrating different -omics technologies to identify ccRCC-specific HLA-presented peptides as potential drug targets for ccRCC immunotherapy. We analyzed frequent ccRCC-specific peptides by MS-based HLA ligandomics of 55 ccRCC tumors (cohort 1), paired non-tumor renal tissues and 158 benign tissues from other organs. Pathways enriched in ccRCC compared to its cell type of origin were identified by transcriptome and gene set enrichment analyses in 51 tumor tissues of the same cohort. To retrieve a list of candidate target genes with involvement in ccRCC pathogenesis, ccRCC-specific pathway genes were intersected with the source genes of tumor-exclusive peptides. The candidates were validated in an independent cohort from the Cancer Genome Atlas (TCGA KIRC, n=452), yielding 113 candidate genes. DNA methylation (TCGA KIRC, n=273), and somatic mutations (TCGA KIRC, n=392), as well as correlations with tumor metabolites (cohort 1, n=30) and immune-oncological markers (cohort 1, n=37) were analyzed to refine regulatory and functional involvements of candidates. Immunogenicity analysis identified candidate epitopes able to activate native CD8+ T cells. Functional analysis of EGLN3, a candidate with frequent ccRCC-specific immunogenic peptides, revealed possible tumor-promoting functions. Integration of HLA ligandomics, transcriptomics, genetic and epigenetic data leads to the identification of novel functionally relevant therapeutic targets for ccRCC immunotherapy. Validation of the identified targets is now mandatory to expand the treatment landscape of ccRCC.
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Project description:The relatively poor sensitivity of clear cell renal cell carcinoma (ccRCC) to conventional chemotherapy and radiotherapy makes its treatment challenging. The Ndc80 kinetochore complex component (NUF2) is involved in the development and progression of several cancers. However, its role in ccRCC remains unclear. In an effort to identify novel treatment targets and prognostic markers for ccRCC, we investigated the role of NUF2 in ccRCC progression. We found that the expression of NUF2 was increased in ccRCC tissues and cells, and the elevated NUF2 levels were significantly associated with worse clinicopathological parameters and shorter survival. In addition, NUF2 was an independent prognostic biomarker for ccRCC. Knocking down NUF2 expression affected the proliferation, migration, and invasion of ccRCC cells and the expression of epithelial–mesenchymal transition (EMT)-related markers. Moreover, RNA sequencing and in vitro experiments identified the oncogene high-mobility group AT-hook 2 (HMGA2) as the target factor regulated by NUF2 in ccRCC. Restoring HMGA2 levels ameliorated the inhibitory effects of NUF2 depletion on cell proliferative, migratory, and invasive capacities and recovered the expression of EMT-related markers to basal levels.These results suggest that NUF2 promotes proliferation, migration, and invasion of ccRCC cells, at least partly by regulating HMGA2, and that the NUF2-HMGA2 axis could be an ideal therapeutic target and a promising prognostic indicator for ccRCC.
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Project description:In order to determine how NAT10 regulates NFE2L3 to promote the progression of ccRCC, since NFE2L3 is a transcription factor, we performed CHP-seq detection for NFE2L3, as well as RNA-seq detection for 786-O cells with stable NFE2L3 knocking and control 786-O cells. The results of RNA-seq showed that 312 transcripts in the NFE2L3 knockdown group were down-regulated, and 3 114 transcripts in the previous ccRCC tissue were up-regulated. Moreover, after comprehensive analysis of ChIP-seq, there were 12 overlapping transcripts. Analysis of the expression levels of 12 transcripts in control cells and stable NFE2L3 knockout cells showed that the expression level of LASP1 was the highest in cells, so we hypothesized that NFE2L3 promoted the progression of ccRCC by affecting LASP1.
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Project description:In order to determine how NAT10 regulates NFE2L3 to promote the progression of ccRCC, since NFE2L3 is a transcription factor, we performed CHP-seq detection for NFE2L3, as well as RNA-seq detection for 786-O cells with stable NFE2L3 knocking and control 786-O cells. The results of RNA-seq showed that 312 transcripts in the NFE2L3 knockdown group were down-regulated, and 3 114 transcripts in the previous ccRCC tissue were up-regulated. Moreover, after comprehensive analysis of ChIP-seq, there were 12 overlapping transcripts. Analysis of the expression levels of 12 transcripts in control cells and stable NFE2L3 knockout cells showed that the expression level of LASP1 was the highest in cells, so we hypothesized that NFE2L3 promoted the progression of ccRCC by affecting LASP1.
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