Project description:Cytogenetic profiling of morphologically-distinct structures of breast tumors: tubular, alveolar, solid, trabecular structures, and discrete groups of tumor cells. The aim was to identify chromosomal aberrations which could be associated with the development of clinical relevant structures of tumor cells.
Project description:Transcriptional profiling of morphologically-distinct structures of breast tumors: tubular, alveolar, solid, trabecular structures, and discrete groups of tumor cells in comparison with normal breast epithelium. The aim was to identify transcripts and cell signalling pathways which could be associated with the development of clinical relevant structures of tumor cells.
Project description:The aim of this work is to compare the expression profiles of the microenvironment of various morphological structures of luminal breast cancer obtained by laser microdissection. For this, sections of primary breast carcinoma were stained according to the RNA-preserving protocol, fragments of the stroma around alveolar, trabecular, solid structures and single tumor cells were isolated using a laser capture microdissection, and then RNA-sequencing was performed using Illumina NextSeq500. Our study presents the first analysis of DEGs and activated signaling pathways of the microenvironment of various morphological structures of breast cancer.
Project description:We generated large-scale proteome data for 65 human breast tumors and 53 paired adjacent non-cancerous tissue and performed an integrated proteotranscriptomic characterization. To our best knowledge, the study is one of the largest quantitative proteomic study of human breast tissues, including the analysis of 118 tissue samples from 65 patients with long-term survival outcomes. Our data show that protein expression describes a tumor biology that is only partly captured by the transcriptome, with mRNA abundance incompletely predicting protein abundance in tumors, and even less so in non-cancerous tissue. Furthermore, the tumor proteome described disease pathways and subgroups that were only partially captured by the tumor transcriptome.
Project description:Tumor associated miRNAs in hereditary breast cancer. In this study we investigated the role of miRNAs in hereditary breast tumors comparing with normal breast tissue. Global miRNA expression profiling was performed on 22 hereditary breast tumors and 15 non-tumoral breast tissues. We identified 19 miRNAs differentially expressed, most of them down-regulated in tumors. An important proportion of deregulated miRNAs in hereditary tumors were previously identified commonly deregulated in sporadic breast tumors. Our results identify miRNAs associated to hereditary breast cancer, as well as miRNAs commonly miss-expressed in hereditary and sporadic tumors, suggesting common underlying mechanisms of tumor progression. In addition, we provide evidence that KRAS is a target of miR-30c, and that this miRNA suppresses breast cancer cell growth potentially through inhibition of KRAS signaling.
Project description:Tumor associated miRNAs in hereditary breast cancer. In this study we investigated the role of miRNAs in hereditary breast tumors comparing with normal breast tissue. Global miRNA expression profiling was performed on 22 hereditary breast tumors and 15 non-tumoral breast tissues. We identified 19 miRNAs differentially expressed, most of them down-regulated in tumors. An important proportion of deregulated miRNAs in hereditary tumors were previously identified commonly deregulated in sporadic breast tumors. Our results identify miRNAs associated to hereditary breast cancer, as well as miRNAs commonly miss-expressed in hereditary and sporadic tumors, suggesting common underlying mechanisms of tumor progression. In addition, we provide evidence that KRAS is a target of miR-30c, and that this miRNA suppresses breast cancer cell growth potentially through inhibition of KRAS signaling. Single color experiments in a pairwise comparison design.