Project description:Using gene expression profiling of mammary tumors generated in a mouse model for BRCA1-associated breast cancer we have searched for markers that correlate with response to the anti-cancer drugs docetaxel or cisplatin. To validate the results, the analysis was done on 2 different platforms (39K Mouse Exonic Evidence Based Oligonucleotide (MEEBO), and 45K Illumina Sentrix mouse V6 single-channel bead arrays). Moreover, we analyzed mouse mammary tumors that had acquired docetaxel resistance on the MEEBO platform.
Project description:97 triple negative tumors were selected from the fresh-frozen tissue bank of the Netherlands Cancer Institute and gene expression profiles were generated using 35K oligonucleotide microarrays. Human breast carcinomas were snap frozen in liquid nitrogen within one hour after surgery and stored in the fresh-frozen tissue bank of the Netherlands Cancer Institute. RNA from a pool of more than 100 unselected fresh frozen breast carcinomas were isolated and pooled to form the reference to which each individual breast carcinoma is hybridized.
Project description:165 primary breast carcinomas were selected to study the gene expression profile in relation to the risk of developping local recurrence after breast conserving therapy; in addition 15 recurred tumors were profiled for comparison to their primary tumor.
Project description:Gene expression array analysis on a series of ten different histological special types of invasive breast carcinomas (tubular, micropapillary, mucinous A, mucinous B, endocrine, apocrine, metaplastic, medullary, adenoid cystic, invasive ductal carcinoma with osteoclastic giant cells) and invasive lobular carcinoma.<br><br>Note: this experiment was reloaded into ArrayExpress in August 2010 to include mappings between raw and processed data files. It now includes additional dye-swap combined normalized data files.
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.