Project description:gene expression profiling of locally invasive breast carcinomas treated with preoperative radiotherapy the purose of this study was to establish molecular signature associated with response to radiotherapy using radiotherapy-naïve biopsies of locally advanced breast cancer
Project description:Here, we report the genomic-scale characterization of locally advanced colon cancer transcriptome. Paraffin embedded samples was used to asses differences between normal colon, primary colon tumor an lymph node metastasis.
Project description:MicroRNAs (miRNAs) have been recently detected in the circulation of cancer patients, where they are associated with clinical parameters. Discovery profiling of circulating small RNAs has not been previously reported in breast cancer (BC), and was carried out in this study to identify blood-based small RNA markers of BC clinical outcome. The pre-treatment sera of 42 stage II–III locally advanced and inflammatory BC patients who received neoadjuvant chemotherapy (NCT) followed by surgical tumor resection were analyzed for marker identification by deep sequencing all circulating small RNAs.
Project description:Gene expression signatures have the capacity to identify clinically significant features of breast cancer and can predict which individual patients are likely to be resistant to neoadjuvant therapy, thus providing the opportunity to guide treatment decisions. Data used in publication: Clin Cancer Res. 2006;12:819–826. 89. Dressman et.al., Gene Expression Profiles of Multiple Breast Cancer Phenotypes and Response to Neoadjuvant Chemotherapy Combining DCE-MRI imaging and genomics have identified putative genomic biomarkers that are associated with risk for pCR following neoadjuvant chemotherapy. Furthermore, IBC gene expression profiles were associated with long term overall survival. The genomic profiles identified in this pilot study are preliminary but novel, and thus of great interest to validate as biomarkers in independent datasets. 37 breast tissue samples were collected under ultrasound guidance from patients with stage IIB/III breast cancer before four cycles of neoadjuvant liposomal doxorubicinpaclitaxel chemotherapy combined with local whole breast hyperthermia. Gene expression analysis was done using Affymetrix U133 Plus 2.0 GeneChip arrays.
Project description:Gene expression profile in Locally Advanced Cervical Cancer patients The RNA total samples were obtain from 89 biopsies of patients with locally advanced cervical cancer (staged).
Project description:EORTC 10994 is a phase III clinical trial comparing FEC with ET in patients with large operable, locally advanced or inflammatory breast cancer (www.eortc.be). Frozen biopsies were taken at randomisation. RNA was extracted from 100um thickness of 14G core needle biopsies. Adjacent sections were tested by H&E to confirm >20% tumour cell content. 100 ng total RNA per chip were amplified using the Affymetrix small sample protocol (IVT then Enzo). 49 tumours were tested on Affymetrix U133A chips. The CEL files were quantile normalised together using rma. Clinical response data are not available yet. See doi:10.1038/sj.onc.1208561 Farmer et al "Identification of molecular apocrine breast tumours by microarray analysis
Project description:Breast cancer molecular subtypes preferentially metastasize to specific organs and the anatomical location of the metastasis is associated with the length of survival post-recurrence. We used microarrays to provide a detailed characterization of breast cancer site-specific metastases with particular focus on identifying genes predictive of breast cancer liver metastatic proprnsity We performed global gene expression profiling on fine-needle aspirates of metastatic lesions from different anatomical sites obtained from breast cancer patients treated within the Swedish randomized trial (TEX) of first-line chemotherapy for locally advanced or metastatic breast cancer. Samples were collected before commencement of treatment.
Project description:EORTC 10994 is a phase III clinical trial comparing FEC with ET in patients with large operable, locally advanced or inflammatory breast cancer (www.eortc.be). Frozen biopsies were taken at randomisation. RNA was extracted from 100um thickness of 14G core needle biopsies. Adjacent sections were tested by H&E to confirm >20% tumour cell content. 100 ng total RNA per chip were amplified using the Affymetrix small sample protocol (IVT then Enzo). 49 tumours were tested on Affymetrix U133A chips. The CEL files were quantile normalised together using rma. Clinical response data are not available yet. Keywords = Apocrine carcinoma Keywords = breast cancer
Project description:Breast cancer is a leading cause of cancer-death among women, where the clinicopathological features of tumors are used to prognosticate and guide therapy. DNA copy number alterations (CNAs), which occur frequently in breast cancer and define key pathogenetic events, are also potentially useful prognostic or predictive factors. Here, we report a genome-wide array-based comparative genomic hybridization (array CGH) survey of CNAs in 89 breast tumors from a patient cohort with locally advanced disease. Statistical analysis links distinct cytoband loci harboring CNAs to specific clinicopathological parameters, including tumor grade, estrogen receptor status, presence of TP53 mutation, and overall survival. Notably, distinct spectra of CNAs also underlie the different subtypes of breast cancer recently defined by expression-profiling, implying these subtypes develop along distinct genetic pathways. In addition, higher numbers of gains/losses are associated with the "basal-like" tumor subtype, while high-level DNA amplification is more frequent in "luminal-B" subtype tumors, suggesting also that distinct mechanisms of genomic instability might underlie their pathogenesis. The identified CNAs may provide a basis for improved patient prognostication, as well as a starting point to define important genes to further our understanding of the pathobiology of breast cancer.