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accession-icon GSE22035
Gene expression data in estrogen receptor alpha positive breast tumors with and without PIK3CA mutations.
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

PI3K/AKT pathway plays one of pivotal roles in breast cancer development and maintenance. PIK3CA, coding PIK3 catalytic subunit, is the oncogene which shows the high frequency of gain-of-function mutations leading to the PI3K/AKT pathway activation in breast cancer. In particular in the ER-positive breast tumors PIK3CA mutations have been observed in 30% to 40%. However, genes expressed in connection to the pathway activation in breast tumorigenesis remain largely unknown.

Publication Title

Gene expression profiling reveals new aspects of PIK3CA mutation in ERalpha-positive breast cancer: major implication of the Wnt signaling pathway.

Alternate Accession IDs

E-GEOD-22035

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE32432
Expression data from in utero exposure to genistein, vinclozolin and the mixture of genistein and vinclozolin on the mammary gland
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Morphogenesis of the mammary gland relies on the precise developmental control of morphological elements including TEBs, ducts and lobules. In the peripubertal mammary gland, rising levels of ovarian hormones control this development through a tightly controlled genetic program where specific sets of genes are up-regulated.

Publication Title

In utero and lactational exposure to vinclozolin and genistein induces genomic changes in the rat mammary gland.

Alternate Accession IDs

E-GEOD-32432

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE37911
VEGF189 overexpression in breast cancer cells delays metastasis
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Vascular endothelial growth factor is a multifunctional cytokine playing important roles in angiogenesis, tumor progression and metastasis. Alternative splicing results in the production of several different isoforms of VEGF. We have previously generated human breast cancer cells overexpressing VEGF165 or VEGF189 isoforms (referred to as the V165 and V189 clones, respectively) and showed that VEGF189-transfected cells were less tumorigenic. In this study, we used bioluminescence imaging to analyze the metastasis capacity of breast cancer cell lines (MDA-MB-321) overexpressing VEGF isoforms in nude mice. V165, V189 and control cV clones were transfected with a luciferase plasmid to generate bioluminescent clones (the V165-B, V189-B and cV clones, respectively). These clones were then injected into the left heart ventricle of nude mice.

Publication Title

MDA-MB-231 breast cancer cells overexpressing single VEGF isoforms display distinct colonisation characteristics.

Alternate Accession IDs

E-GEOD-37911

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE23980
Expression data from human soft tissue sarcomas with complex genomics
  • organism-icon Homo sapiens
  • sample-icon 164 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Differentially expressed genes between 171 human soft tissue sarcomas with complex genomics

Publication Title

From PTEN loss of expression to RICTOR role in smooth muscle differentiation: complex involvement of the mTOR pathway in leiomyosarcomas and pleomorphic sarcomas.

Alternate Accession IDs

E-GEOD-23980

Sample Metadata Fields

Sex, Specimen part, Cell line

View Samples
accession-icon GSE26639
Expression Data from 226 patients of the REMAGUS02 trial
  • organism-icon Homo sapiens
  • sample-icon 226 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of predictive markers of response to treatment is a major objective in breast cancer. A major problem in clinical sampling is the variability of RNA templates, requiring accurate management of tumour material and subsequent analyses for future translation in clinical practice. Our aim was to establish the feasibility and reliability of high throughput RNA analysis in a prospective trial.

Publication Title

Importance of pre-analytical steps for transcriptome and RT-qPCR analyses in the context of the phase II randomised multicentre trial REMAGUS02 of neoadjuvant chemotherapy in breast cancer patients.

Alternate Accession IDs

E-GEOD-26639

Sample Metadata Fields

Specimen part, Disease stage

View Samples
accession-icon GSE55561
Gene expression profiles of PDX models with acquired resistance to endocrine treatments
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Acquired resistance to endocrine therapy occurs with high frequency in patients with luminal breast cancer (LBC). We report here the establishment of four patient-derived xenograft models of LBC with acquired resistance in vivo to tamoxifen and estrogen deprivation.

Publication Title

Acquired resistance to endocrine treatments is associated with tumor-specific molecular changes in patient-derived luminal breast cancer xenografts.

Alternate Accession IDs

E-GEOD-55561

Sample Metadata Fields

Specimen part

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accession-icon GSE114269
Medullary breast carcinoma, a triple-negative breast cancer subtype associated with BCLG overexpression and BRCAness
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Medullary Breast Carcinoma, a Triple-Negative Breast Cancer Associated with BCLG Overexpression.

Alternate Accession IDs

E-GEOD-114269

Sample Metadata Fields

Disease, Disease stage

View Samples
accession-icon GSE114168
Medullary breast carcinoma, a triple-negative breast cancer subtype associated with BCLG overexpression.
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression was compared between medullary breast carcinoma (MBC) and non medullary basal-like breast carcinoma (non-MBC BLC).

Publication Title

Medullary Breast Carcinoma, a Triple-Negative Breast Cancer Associated with BCLG Overexpression.

Alternate Accession IDs

E-GEOD-114168

Sample Metadata Fields

Disease, Disease stage

View Samples
accession-icon GSE22575
Expression data from Hif 2alpha Knockdown study
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Non-small cell lung cancer (NSCLC) is the leading cause of cancer deaths worldwide. The oxygen-sensitive Hypoxia Inducible Factor (HIF) transcriptional regulators HIF-1 and HIF-2 are overexpressed in many human NSCLCs, and constitutive HIF-2 activity can promote murine lung tumor progression, suggesting that HIF proteins may be effective NSCLC therapeutic targets. To investigate the consequences of inhibiting HIF activity in lung cancers, we deleted Hif-1 or Hif-2 in an established KrasG12D-driven murine NSCLC model. Deletion of Hif-1 had no obvious effect on tumor growth, whereas Hif-2 deletion resulted in an unexpected increase in tumor burden that correlated with reduced expression of the candidate tumor suppressor gene Scgb3a1 (HIN-1).

Publication Title

HIF-2alpha deletion promotes Kras-driven lung tumor development.

Alternate Accession IDs

E-GEOD-22575

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE66499
Validation of an Airway Gene Expression Classifier for Lung Cancer in Patients Undergoing Diagnostic Bronchoscopy
  • organism-icon Homo sapiens
  • sample-icon 678 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

BACKGROUND: In patients with suspicious pulmonary lesions, bronchoscopy is frequently non-diagnostic. This often results in additional invasive testing, including surgical biopsy, although many patients have benign disease. We sought to validate an airway gene-expression classifier for lung cancer in patients undergoing diagnostic bronchoscopy. METHODS: Two multicenter prospective studies (AEGIS 1 and 2) enrolled 1357 current or former smokers undergoing bronchoscopy for suspected lung cancer. Bronchial epithelial cells were collected from normal appearing mucosa in the mainstem bronchus during bronchoscopy. Patients without a definitive diagnosis from bronchoscopy were followed for 12 months. A gene-expression classifier was used to assess the risk of lung cancer, and its performance was evaluated. RESULTS: A total of 298 patients from AEGIS 1 and 341 from AEGIS 2 met criteria for analysis. Bronchoscopy was non-diagnostic for cancer in 272 of 639 patients (43%; 95%CI, 39-46%). The gene expression classifier correctly identified 431 of 487 patients with cancer (89% sensitivity; 95%CI, 85-91%), and 72 of 152 patients without cancer (47% specificity; 95%CI, 40-55%). The combination of the classifier and bronchoscopy had a sensitivity of 97% (95%CI, 95-98%), which was independent of size, location, stage, and histological subtype of lung cancer. In patients with an intermediate pre-test risk (10-60%) of lung cancer, the NPV of the classifier was 91% (95%CI 75-98%). CONCLUSIONS: In patients with an intermediate risk of lung cancer and a non-diagnostic bronchoscopy, a gene-expression classification of low-risk warrants consideration of a more conservative diagnostic approach that could reduce unnecessary invasive testing in patients with benign disease.

Publication Title

A Bronchial Genomic Classifier for the Diagnostic Evaluation of Lung Cancer.

Alternate Accession IDs

E-GEOD-66499

Sample Metadata Fields

Sex, Specimen part

View Samples

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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