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ABSTRACT:
PROVIDER: EGAD00010002325 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:It is poorly understood how the tumor immune microenvironment influences disease recurrence in localized clear cell renal cell carcinoma (ccRCC). Here we perform whole-transcriptomic profiling of 236 tumors from patients assigned to the placebo-only arm of a randomized, adjuvant clinical trial for high-risk localized ccRCC. Unbiased pathway analysis identifies myeloid-derived interleukin-6 (IL-6) as a key mediator. Furthermore, a novel myeloid gene signature strongly correlates with disease recurrence and overall survival on uni- and multivariate analysis and is linked to TP53 inactivation across multiple datasets.
| EGAS00001006344 | EGA
Project description:Background. Current clinicopathological factors are not accurate enough to predict tumor progression in intermediate/high-risk clear cell renal cell carcinoma (ccRCC). Objective: To develop a prognostic classifier for intermediate/high-risk ccRCC based on gene expression and histopathological prognostic factors. Design, setting and participants: Retrospective, multicenter study including 84 intermediate/high-risk ccRCC patients who underwent surgery. Global gene expression patterns were analyzed in 13 tissue samples from progressive and non-progressive ccRCC using Illumina Hi-seq 2000 kit. Expression levels of 22 selected genes were assessed by nCounter Analysis in an independent series of 71 ccRCC. A combined genetic-clinicopathological classifier for predicting tumor progression was developed. Outcomes measurements and statistical analysis: Logistic regression analysis was used to identify independent prognostic factors. Results and Limitations: A total of 1202 genes were found differentially expressed between progressive and non-progressive intermediate/high-risk ccRCC. In the independent cohort, 7 genes remained significant differentially expressed between the groups. Expression of HS6ST2, pT stage, tumor size and ISUP grade were found independent prognostic factors for tumor progression (p<0.05). A risk score generated using these variables was able to distinguish a subset of patients at higher-risk of progression (HR 7,27; p<0,001), improving the individual discriminative performance of each of these variables on their own. Conclusions: A novel prognostic algorithm based on genetic and clinicopathological factors was successfully developed. This model may aid physicians to select high-risk patients for further adjuvant target therapy or immune therapy.
2021-12-29 | GSE175648 | 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:Purpose: Clear cell renal cell carcinoma (ccRCC) is the most common renal cancer. Thirty percent of patients with localized ccRCC develop metastases during follow-up. Although current scoring methods correctly identify patients at low progression risk, a small subgroup still experiences metastatization. We therefore aimed to identify ccRCC progression biomarkers in “low-risk” patients, potentially eligible for adjuvant treatments. Methods: We performed next-generation sequencing of RNA from formalin-fixed samples obtained at initial surgery from 8 “low-risk” patients with progressing tumours and 16 patients with similar Leibovich score, tumour stage and size, creatinine levels and surgical treatment, not progressing to recurrence with metastasis. Key results were confirmed with qPCR, immunohistochemistry and in external data. Results: Principal component analysis indicates that systematic transcriptomic differences are detectable at the time of initial surgery. 1167 genes, related to cancer and immune-related pathways, were differentially expressed between progressors and non-progressors. Search for a classifier revealed that overexpression of AGAP2-AS1, an antisense long non-coding RNA, alone, correctly classified 23 of 24 samples without requiring larger gene panels. AGAP2-AS1 gene overexpression was confirmed by qPCR (p <0.05) and correlated with shorter progression-free survival (p: <0.0005). Immunohistochemistry confirmed upregulation at the protein level of AGAP2. Conclusion: AGAP2-AS1 may represent a novel biomarker identifying high risk patients currently classified as “low risk” at the time of surgery.
2021-12-29 | GSE171955 | GEO
Project description:Background: Clear cell renal cell carcinoma (ccRCC) is the most common renal cancer. Identification of ccRCC likely to progress, despite an apparent low risk at the time of surgery, represents a key clinical issue. Methods: From a cohort of adult ccRCC patients (n=443), we selected low-risk tumors progressing within a 5-years average follow-up (progressors: P, n=8) and non-progressing (NP) tumors (n=16). Transcriptome sequencing, miRNA sequencing and proteomics were performed on tissues obtained at surgery. Our work suggests that LXR, FXR and macrophage activation pathways could be critically involved in the inhibition of the progression of low-risk ccRCC. Furthermore, a 10-component classifier could support an early identification of apparently low-risk ccRCC patients.
2022-08-10 | GSE207557 | GEO
Project description:CTCF ChIP-seq of 39 primary samples derived from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011059 (dataset).
2023-08-31 | E-MTAB-13117 | biostudies-arrayexpress
Project description:The pituitary-tumor transforming gene (PTTG1) is a recently discovered oncogene implicated in the malignant progression of a number of neoplasms. It has been shown to drive both endocrine and non-endocrine malignancies, but has not yet been studied in the context of renal cell carcinoma. Here we show that PTTG1 is frequently amplified and overexpressed in clear cell renal cell carcinoma, the most common form of kidney cancer. Clear cell RCC (ccRCC) is cytogenetically characterized by deletion of chromosome 3p, harboring the von-Hippel Lindau tumor suppressor gene, and amplification of chromosome 5q. The significance of copy number gain of chromosome 5 has to date remained a mystery, but is presumably the location of oncogenes that play an important role in ccRCC development or progression. The PTTG1 oncogene maps to chromosome 5q and shows frequent copy number gain in clear cell RCC, and is significantly overexpressed in tumor tissue relative to adjacent normal kidney. Furthermore, we have established a functional role for PTTG1 in ccRCC tumorigenesis and progression. PTTG1 ablation significantly reduces both the tumorigenic ability of ccRCC cells in vitro and in vivo and the invasive ability of these cells in vitro. An analysis of PTTG1 regulatory targets supports its role in the progression of localized ccRCC to invasive and metastatic disease, an idea further substantiated by PTTG1’s clinical correlation with high grade and high stage tumors and its association with poor prognosis. PTTG1-dependent overexpression of the Rho-GEF ECT2, another proto-oncogene, is observed in a number of ccRCC cell lines, and ECT2 overexpression correlates with PTTG1 overexpression, high stage, high grade, and poor prognosis in human ccRCC tumors. As GEF’s have been promoted as viable drug targets for targeted cancer therapeutics, the relationship between the PTTG1 and ECT2 oncogenes may be able to be exploited for the treatment of this disease.
2010-12-31 | GSE25399 | GEO
Project description:H3K27ac ChIP-seq of 79 primary samples derived from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). In addition, 4 samples derived from CD34+ cord blood cells of healthy donors were included. Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011060 (dataset).
2023-08-31 | E-MTAB-13119 | biostudies-arrayexpress
Project description:Novel perioperative strategies are needed to reduce recurrence rates in patients undergoing nephrectomy for high-risk, non-metastatic clear cell renal cell carcinoma (ccRCC). We conducted a prospective, phase I trial of neoadjuvant nivolumab prior to nephrectomy in 15 evaluable patients with non-metastatic ccRCC. We leveraged tissue from that cohort to elucidate the effects of PD-1 inhibition on immune cell populations in ccRCC and correlate the evolving immune milieu with anti-PD-1 response. We found that nivolumab durably induces a pro-inflammatory state within the primary tumor, and baseline immune infiltration within the primary tumor correlates with nivolumab responsiveness. Nivolumab increases CTLA-4 expression in the primary tumor, and subsequent nephrectomy increases circulating concentrations of sPD-L1, sPD-L3 (sB7-H3), and s4-1BB. These findings form the basis to consider neoadjuvant immune checkpoint inhibition (ICI) for high-risk ccRCC while the tumor remains in situ and provide the rationale for perioperative strategies of novel ICI combinations.
2023-12-18 | GSE245372 | GEO
Project description:The pituitary-tumor transforming gene (PTTG1) is a recently discovered oncogene implicated in the malignant progression of a number of neoplasms. It has been shown to drive both endocrine and non-endocrine malignancies, but has not yet been studied in the context of renal cell carcinoma. Here we show that PTTG1 is frequently amplified and overexpressed in clear cell renal cell carcinoma, the most common form of kidney cancer. Clear cell RCC (ccRCC) is cytogenetically characterized by deletion of chromosome 3p, harboring the von-Hippel Lindau tumor suppressor gene, and amplification of chromosome 5q. The significance of copy number gain of chromosome 5 has to date remained a mystery, but is presumably the location of oncogenes that play an important role in ccRCC development or progression. The PTTG1 oncogene maps to chromosome 5q and shows frequent copy number gain in clear cell RCC, and is significantly overexpressed in tumor tissue relative to adjacent normal kidney. Furthermore, we have established a functional role for PTTG1 in ccRCC tumorigenesis and progression. PTTG1 ablation significantly reduces both the tumorigenic ability of ccRCC cells in vitro and in vivo and the invasive ability of these cells in vitro. An analysis of PTTG1 regulatory targets supports its role in the progression of localized ccRCC to invasive and metastatic disease, an idea further substantiated by PTTG1’s clinical correlation with high grade and high stage tumors and its association with poor prognosis. PTTG1-dependent overexpression of the Rho-GEF ECT2, another proto-oncogene, is observed in a number of ccRCC cell lines, and ECT2 overexpression correlates with PTTG1 overexpression, high stage, high grade, and poor prognosis in human ccRCC tumors. As GEF’s have been promoted as viable drug targets for targeted cancer therapeutics, the relationship between the PTTG1 and ECT2 oncogenes may be able to be exploited for the treatment of this disease. SNP data on 74 ccRCC and 16 normal renal tissue samples were used to profile the cytogenetic gains or losses. The most frequent gains or losses were identified and gene expression data were then used to pinpoint the genes for further study.
2010-12-31 | E-GEOD-25399 | biostudies-arrayexpress