Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA92221 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:MicroRNA expression of clear cell papillary renal cell carcinoma
| PRJNA223405 | ENA
Project description:Clear cell papillary renal cell carcinoma (CCPRCC) is a low-grade renal neoplasm with morphological characteristics mimicking both clear cell renal cell carcinoma (CCRCC) and papillary renal cell carcinoma (PRCC). However, despite some overlapping features, their morphological, immunohistochemical, and molecular profiles are distinct. To better understand the biology of this tumor, we analyze the miRNA expression profiles of a set of CCPRCC by microarrays.
2017-02-28 | GSE95385 | GEO
Project description:Renal papillary cell carcinoma
| PRJNA749556 | ENA
Project description:Papillary renal cell carcinomas (pRCC) are the second most common form of renal carcinoma, after clear cell Renal carcinoma (ccRCC). PRCC account for 10 to 15% of RCC and gather a heterogeneous population with no specific systemic treatment. Pathological classification by Elbe divides pRCC population in two morphologically different subtypes. Type 1 consists of predominantly basophilic cells, whereas type 2 contains mostly eosinophilic cells. Type 1 architecture corresponds with a single line of cells along the papillary axis, whereas type 2 generally exhibits several cell strata on the axis. Furthermore, type 2 cells demonstrate more aggressive characteristics, such as the presence of nucleoli and increased nuclear size. The papillary cores often contain edema fluid, foamy macrophages, and psammoma bodies. Further clinical reports identified that type I tumors are more likely to present as numerous, bilateral , indolent, low grade pRCC, whereas type II are associated with higher grade and poor prognosis related to metastatic evolution.
2014-07-22 | E-MTAB-1805 | biostudies-arrayexpress
Project description:Renal Cell Carcinoma - Papillary types 1, and 2b, Normal Kidney Tissue
| PRJNA98373 | ENA
Project description:Renal tumors with complex morphology require extensive workup for accurate classification. Chromosomal aberrations that define subtypes of renal epithelial neoplasms have been reported. We explored if whole-genome chromosome copy number and loss-of-heterozygosity analysis with single nucleotide polymorphism (SNP) arrays can be used to identify these aberrations. Experiment Overall Design: We analyzed 20 paraffin-embedded tissues representing conventional renal cell carcinoma (RCC), papillary RCC, chromophobe RCC, and oncocytoma with Affymetrix GeneChip 10K 2.0 Mapping arrays.
2008-04-10 | E-GEOD-9469 | biostudies-arrayexpress
Project description:Papillary renal cell carcinomas (pRCC) are the second most common form of renal carcinoma, after clear cell Renal carcinoma (ccRCC). PRCC account for 10 to 15% of RCC and gather a heterogeneous population with no specific systemic treatment. Pathological classification by Elbe divides pRCC population in two morphologically different subtypes. Type 1 consists of predominantly basophilic cells, whereas type 2 contains mostly eosinophilic cells. Type 1 architecture corresponds with a single line of cells along the papillary axis, whereas type 2 generally exhibits several cell strata on the axis. Furthermore, type 2 cells demonstrate more aggressive characteristics, such as the presence of nucleoli and increased nuclear size. The papillary cores often contain edema fluid, foamy macrophages, and psammoma bodies. Further clinical reports identified that type I tumors are more likely to present as numerous, bilateral , indolent, low grade pRCC, whereas type II are associated with higher grade and poor prognosis related to metastatic evolution. The goal of this study wad to characterize each sample in order to get an idea of the genomic profile in pRCC type 2 (pRCCII).
2014-07-22 | E-MTAB-1807 | biostudies-arrayexpress
Project description:Accurate diagnostic discrimination of benign renal oncocytoma (OC) and malignant renal cell carcinomas (RCC) is not only useful for planning appropriate treatment strategies of patients with renal masses but also for estimating prognosis. Classification of renal neoplasms solely by histopathology can often be challenging for a variety of reasons. The aim of this study was to develop and validate a genomic algorithm for molecular classification of renal cortical neoplasms that could be implemented in a routine clinical diagnostic setting. Using TCGA (The Cancer Genome Atlas) copy number profiles of over 600 RCC specimens, prior FISH studies and published literature, a classification algorithm was developed consisting of 15 genomic markers: loss of VHL, 3p21, 8p, and chromosomes 1, 2, 6, 10 and 17, and gain of 5qter, 16p, 17q, 20q, and chromosomes 3, 7, and 12. Criteria for scoring specimens for the presence of each genomic marker were established. As validation, 191 surgically resected formalin-fixed paraffin-embedded renal neoplasms were blindly submitted to targeted array-CGH and were classified according to the algorithm. Upon histologic re-review leading to exclusion of three specimens and using histology as the gold standard, the algorithm correctly classified 58 of 62 (93%) clear cell renal cell carcinoma, 51 of 56 (91%) papillary RCC, and 33 of 34 (97%) chromophobe RCC. Of the 36 OC specimens, 17 were classified as OC, two as a malignant subtype, 14 as benign, and three exhibited alterations not associated with a specific subtype. In ten of the latter two groups, CCND1-rearrangement was detected by fluorescence in situ hybridization, affording a classification as OC. Together, 33 of 36 (92%) OC were classified as OC or benign. For the entire validation cohort, an overall diagnostic sensitivity of 93% and above 97% specificity was achieved, suggesting that the implementation of genome-based molecular classification in a clinical diagnostic setting could impact the overall management and outcome of patients with renal tumors. A total of 191 RCC FFPE samples are analyzed including 63 clear cell RCC (ccRCC), 57 papillary RCC (pRCC), 35 chromophobe RCC (chrRCC) and 36 oncocytoma (OC). Two-color array-comparative genomic hybdrization on custom designed using RCC DNA as test and normal sex-matched DNA as reference.
2015-04-29 | E-GEOD-57162 | biostudies-arrayexpress
Project description:MicroRNAs play a vital role in the process of tumorigenesis. To identify and characterize miRNA Expression in renal cell cancer, we performed microarray based screening of miRNA expression profiles in clear cell, papillary type 1 and papillary type 2 renal cell cancer. We selected cases of confirmed clear cell, papillary type 1 and papillary type 2 renal cell carcinoma and generated pairs of tumor and corresponding normal tissue by manual microdissection.
2012-10-03 | E-GEOD-41282 | biostudies-arrayexpress