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MicroRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease [validation]

ABSTRACT: microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease [validation]

PROVIDER: PRJNA545518 | ENA |

REPOSITORIES: ENA

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microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease [validation]

Project description:To identify microRNA (miRNA) profiles of small, pathologically confirmed stage 1 clear cell renal cell carcinoma (ccRCC) tumors that could predict progression to metachronous metastatic disease. : Fifty-five pathologic stage 1 ccRCC tumors ≤5cm from two institutions were examined in an initial miRNA screening, followed by a validation study. This investigation identified miRNA biomarkers that may differentiate between non-progressive ccRCC tumors and those that progress to metastatic disease in this group of stage I tumors. The data presented in this workbook are for the samples analyzed in the custom array analysis. The data were normalized to the average of the insignificant control miRNA: miRs-28-5p, -125-5p, and -191-5p, selected from the screening array dataset using NormFinder©. Prior to normalization each value was scaled by the corresponding internal plate calibrator value (see below).

2020-06-01 | GSE131960 | GEO

microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease [screen]

Project description:To identify microRNA (miRNA) profiles of small, pathologically confirmed stage 1 clear cell renal cell carcinoma (ccRCC) tumors that could predict progression to metachronous metastatic disease. : Fifty-five pathologic stage 1 ccRCC tumors ≤5cm from two institutions were examined in an initial miRNA screening, followed by a validation study. This investigation identified miRNA biomarkers that may differentiate between non-progressive ccRCC tumors and those that progress to metastatic disease in this group of stage I tumors. The data presented in this workbook are for the 20 samples analyzed in the screening analysis. The data were normalized to the global mean of all targets with a Cq<35. Prior to normalization each value was scaled by the corresponding internal plate calibrator value.

2020-06-01 | GSE131959 | GEO

microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease

Project description:microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease

| PRJNA545463 | ENA

A transcriptional metastatic signature predicts survival in clear cell renal cell carcinoma

Project description:A transcriptional metastatic signature predicts survival in clear cell renal cell carcinoma

| PRJNA739195 | ENA

microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease [screen]

Project description:microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease [screen]

| PRJNA545464 | ENA

microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease

Project description:This SuperSeries is composed of the SubSeries listed below.

2020-06-01 | GSE131961 | GEO

A transcriptional metastatic signature predicts survival in clear cell renal cell carcinoma

Project description:Novel single cell technologies have paved the way for the characterization and improved biological understanding of clear cell renal cell carcinoma (ccRCC) where the focus has been mostly on the immunological compartments of the tumor microenvironment (TME). However, the identification of metastatic tumor cell clones, and the stromal compartments of TME of untreated ccRCC patients still remains to be elucidated. Here we perform single-cell RNA-sequencing on treatment naive ccRCC and adjacent normal kidney tissue.

2022-08-18 | GSE178481 | GEO

DNA methylation status predicts survival in metastasis free clear cell renal cell carcinoma

Project description:DNA methylation status predicts survival in metastasis free clear cell renal cell carcinoma

| PRJNA453379 | ENA

Discovery and Validation of a 15-Gene Prognostic Signature for Clear Cell Renal Cell Carcinoma

Project description:Discovery and Validation of a 15-Gene Prognostic Signature for Clear Cell Renal Cell Carcinoma

| PRJNA1071056 | ENA

Genomic aberrations predicts survival in clear cell renal cell carcinoma

Project description:Detailed genetic profiling of clear cell Renal Cell Carcinoma (ccRCC) has shown that these tumors are characterized by large genetic heterogeneity with some genomic regions commonly affected by structural changes. Loss on chromosomes 3p and 14q, and gain on 5q and 7 are examples of alterations commonly reported in ccRCC. However, there is no consensus regarding the potential prognostic information carried by the identified alterations. We report on poorer outcome for patients with gain on 5q and 7, and loss on 9p, 9q and 14q. These aberrations were in addition found more frequently in metastasized tumors, suggesting that they are markers for advanced disease. Furthermore, the presence of M-bM-^IM-% 4 common aberrations was associated with decreased survival time. Shorter relative telomere length (RTL) has been associated with loss of chromosomal regions in ccRCC tumors, but we found no significant associations between tumor RTL and chromosomal deletions. However, significantly lower tumor-to-nontumor (T/N) RTL ratio was detected for patients with loss on 4q and 9p. Finally, we found a minimum region (MR) of genetic loss of 1.4 Mbp on chromosome 9p and this region contains only one gene, the tumor suppressor candidate 1 gene (TUSC1). TUSC1 has been implicated in lung carcinogenesis and our result further strengthens its role in tumorigenesis. Seventy-four ccRCC tumors and 22 paired normal kidney cortex and blood samples were genotyped on Illuminas HumanCytoSNP-12 bead chips.

2014-07-01 | E-GEOD-30460 | biostudies-arrayexpress

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