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accession-icon GSE3167
Classification of carcinoma in situ lesions in human bladder cancer
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The presence of carcinoma in situ (CIS) lesions in the urinary bladder is associated with a high risk of disease progression to a muscle invasive stage. In this study, we used microarray expression profiling to examine the gene expression patterns in superficial transitional cell carcinoma (sTCC) with surrounding CIS (13 patients), without surrounding CIS lesions (15 patients), and in muscle invasive carcinomas (mTCC; 13 patients). Hierarchical cluster analysis separated the sTCC samples according to the presence or absence of CIS in the surrounding urothelium. We identified a few gene clusters that contained genes with similar expression levels in transitional cell carcinoma (TCC) with surrounding CIS and invasive TCC. However, no close relationship between TCC with adjacent CIS and invasive TCC was observed using hierarchical cluster analysis. Expression profiling of a series of biopsies from normal urothelium and urothelium with CIS lesions from the same urinary bladder revealed that the gene expression found in sTCC with surrounding CIS is found also in CIS biopsies as well as in histologically normal samples adjacent to the CIS lesions. Furthermore, we also identified similar gene expression changes in mTCC samples. We used a supervised learning approach to build a 16-gene molecular CIS classifier. The classifier was able to classify sTCC samples according to the presence or absence of surrounding CIS with a high accuracy. This study demonstrates that a CIS gene expression signature is present not only in CIS biopsies but also in sTCC, mTCC, and, remarkably, in histologically normal urothelium from bladders with CIS. Identification of this expression signature could provide guidance for the selection of therapy and follow-up regimen in patients with early stage bladder cancer.

Publication Title

Gene expression in the urinary bladder: a common carcinoma in situ gene expression signature exists disregarding histopathological classification.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE46602
Expression data from prostate cancer and benign prostate glands
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Prostate cancer is a leading cause of cancer death amongst males. The main clinical dilemma in treating prostate cancer is the high number of indolent cases that confer a significant risk of over diagnosis and over treatment. In this study we have performed a genome expression profiling of tumor tissue specimens from 36 patients with prostate cancer to identify transcripts that delineate aggressive and indolent cancer. We included normal prostate biopsies from 14 patients in our analysis. Unsupervised hierarchical cluster analysis separated the cancer samples into two groups with a significant overrepresentation of tumors from patients with biochemical recurrence in one of the groups (Chi2, p=0.02). The samples were separated by basically three clusters of genes that showed differential expression between the two sample clusters - totaling 371 transcripts. Ingenuity Pathway Analysis revealed that one cluster contained genes associated with invasive properties of the tumor, another genes associated with the cell cycle, and the last cluster genes involved in several biological functions. We successfully validated the transcripts association with recurrence using two publicly available patient datasets totaling 669 patients. Twelve genes were found to be independent predictors of recurrence in multivariate logistical regression analysis.

Publication Title

Expression profiling of prostate cancer tissue delineates genes associated with recurrence after prostatectomy.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP111402
Next Generation Sequencing of total RNA from 9 bladder cancer cell lines and 3 fractionated bladder cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, NextSeq 500

Description

We profile the cell line expression of 279 circRNAs, that are highly expressed across 457 bladder cancer patient samples. Additionally, we investigate their cellular location in fractionated cell lines Overall design: 9 bladder cancer cell lines and 3 fractionated bladder cancer cell lines

Publication Title

Circular RNA expression is abundant and correlated to aggressiveness in early-stage bladder cancer.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE5287
Prediction of response and survival following chemotherapy in patients with advanced bladder cancer
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

BACKGROUND

Publication Title

Emmprin and survivin predict response and survival following cisplatin-containing chemotherapy in patients with advanced bladder cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE75890
Distinct molecular signatures of mild extrinsic and intrinsic atopic dermatitis
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Atopic dermatitis (AD) is a common inflammatory skin disease with underlying defects in epidermal function and immune responses. The goal of this study was to investigate differences in gene expression in lesional skin from patients with mild extrinsic or intrinsic AD compared to skin from healthy controls and from lesional psoriasis skin. The aim was to identify differentially expressed genes involved in skin barrier formation and inflammation, and to compare our results with those reported for patients with moderate and severe AD.

Publication Title

Distinct molecular signatures of mild extrinsic and intrinsic atopic dermatitis.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP140689
Loss of the Mia40a oxidoreductase leads to hepato-pancreatic insufficiency in the zebrafish
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Development and function of tissues and organs are powered by the activity of mitochondria. In humans, inherited genetic mutations that lead to progressive mitochondrial pathology often manifest during infancy and can lead to death, reflecting the indispensable nature of mitochondrial function and biogenesis. Here, we describe a zebrafish mutant for the gene mia40a, the life-essential homologue of the evolutionarily conserved Mia40 oxidoreductase which drives the biogenesis of cysteine-rich mitochondrial proteins. We report that mia40a mutant animals undergo progressive cellular respiration defects and develop enlarged mitochondria in skeletal muscles before their ultimate at the larval stage. We generated a rich transcriptomic and proteomic resource that allowed us to identify abnormalities in the development of endodermal organs, in particular the liver and pancreas. We identify the acinar cells of the exocrine pancreas to be severely affected by mutations in the MIA pathway. Our data contribute to a better understanding of the molecular, cellular and organismal effects of mitochondrial deficiency, important for the accurate diagnosis and future treatment strategies of these diseases. Overall design: Embryos obtained from an in-cross of heterozygous mia40awaw1/+ siblings were genotyped at 3 dpf. Pools of five mia40+/+ or mia40waw1/waw1 larvae, derived from the same clutch, were collected at indicated time-points for RNA extraction and transcriptomic profiling. Larvae used in 8 dpf experiments were subjected to external feeding from 5dpf before being collected for the analysis at 8dpf.

Publication Title

Loss of the Mia40a oxidoreductase leads to hepato-pancreatic insufficiency in zebrafish.

Sample Metadata Fields

Specimen part, Subject

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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