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Transcription profiling of human breast cancer cell line comparing RNA of spheres with co-responding parental cell line

ABSTRACT: n=18, 36 arrays, RNA of spheres versus RNA of corresponding parental cell line

ORGANISM(S): Homo sapiens

SUBMITTER: Tania Margarido

PROVIDER: E-NCMF-25 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Mammosphere-derived gene set predicts outcome in patients with ER-positive breast cancer.

Kok Marleen M Koornstra Rutger H RH Margarido Tania C TC Fles Renske R Armstrong Nicola J NJ Linn Sabine C SC Van't Veer Laura J LJ Weigelt Britta B

The Journal of pathology 20090701 3

Tumourigenic subpopulations with stem cell-like features have been identified in breast tumours and breast cancer cell lines. The hormone receptor status, molecular characteristics and clinical significance of these cells are still matters of debate. Enrichment for tumourigenic cells without the requirement of surface markers can be achieved by the in vitro mammosphere culture assay. Here we compared the hormone receptor status and genome-wide gene expression profiles of mammospheres derived fro ...[more]

PMID: 19353633

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2010-08-20 | E-NCMF-3 | biostudies-arrayexpress

Dosage dependent tumor suppression by histone deacetylases 1/2

Project description:Dosage dependent tumor suppression by histone deacetylases 1/2

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Transcription profiling by array of mouse small cell lung cancer tumor samples

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Project description:-

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Transcription profiling of mouse embryonic fibroblast-TBX2 cells treated with LPA or EGF

Project description:EXPERIMENT 3: LPA compared to EGF response; LPA concentration 5uM; EGF concentration 50ng/ml

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Transcription profiling of untreated and cisplatin-based chemoradiation treated human squamous cell carcinomas to improve prediction of outcome after chemoradiation

Project description:Gene expression profiling to predict outcome after chemoradiation in head and neck cancer Purpose. The goal of the present study was to improve prediction of outcome after chemoradiation in advanced head and neck cancer using gene expression analysis. Materials and Methods. We collected 92 biopsies from untreated head and neck cancer patients subsequently given cisplatin-based chemoradiation (RADPLAT) for advanced squamous cell carcinomas (HNSCC). After RNA extraction and labeling we performed dye swap experiments using 35k oligo-microarrays. Supervised analyses were performed to create classifiers to predict local control, locoregional control and disease recurrence. Published gene sets with prognostic value in other studies were also tested. Results. Using supervised classification on the whole series, gene sets separating good and poor outcome could be found for all end-points. However, when splitting tumors into training and validation groups, no robust classifiers could be found. Also previously published signatures with prognostic value have been tested. Conclusion. Gene sets can be found with predictive potential for locoregional control after combined radiation and chemotherapy in HNSCC. How treatment-specific these gene sets are needs further study.

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Project description:Gene expression profiles of "spontaneous" and transplanted topotecan-resistant BRCA1;P53-deficient mammary tumors and their matched untreated controls

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