Project description:We identify genes presenting a specific expression profile in midgut carcinoid cells, primary carcinoids tumors and liver metastasis were gene profiled. Gene expression profiling of classical midgut carcinoid primary tumors and liver metastasis reveal potential novel therapeutic targets and molecular signatures. Experiment Overall Design: Normal and tumoral (carcinoid) cells
Project description:In order to clarify the gene expression and identify genes involved in tumor progression, gene expression profiling was performed on tumor specimens. Samples comprised 18 primary tumors, 17 lymph node (LN) metastases and 7 liver metastases. Patients were grouped according to clinical data and histopathology into indolent or progressive course. RNA was subjected to a spotted oligo microarray and B-statistics were performed. Differentially expressed genes were verified using quantitative RT-PCR. Self-organising maps demonstrated three clusters. Eleven primary tumors separated in one cluster, 5 LN metastases in another whereas all liver metastases, 7 primary and 12 LN metastases, formed a third cluster. There was no correlation between indolent and progressive behaviour. The primary tumors with Ki67 > 5%, with low frequency of the carcinoid syndrome and a tendency towards shorter survival grouped together. Primary tumors differed in expression profile from their associated LN metastases. ACTG2, GREM2, REG3A, TUSC2, RUNX1, TPH1, TGFBR2 and CDH6 were differentially expressed between clusters and subgroups of tumors. The expression profile that assembles tumors as being genetically similar on the RNA expression level may not be concordant with the clinical disease course. This study reveals different gene expression profiles and novel genes not previously known to be involved in neuroendocrine tumorigenesis, and which may be of importance for tumor progression. Gene expression comparisons between 18 primary tumors, 17 lymph node metastases and 7 liver metastases.
Project description:We performed an expression profiling study of 168 primary breast tumors, lymph node metastases, and autopsy samples of primary breast tumours and metastases to liver, chest wall, lymph node, lung, and spleen, as well as positive and negative RNA controls, with technical replicates, to assess quality control methodology and probe-level reproducibility of the Illumina DASL microarray assay. The experiment included both Illumina DASL HumanRef-v3 and DASL HT-12; this series includes only the 120 HumanRef-v3 samples . This series includes 120 samples in total: 19 autopsy tissues of the chest wall, liver, lymph nodes, lung, spleen, liver, and breast, 5 negative controls, 6 positive controls, and 90 lymph node metastases.
Project description:In order to clarify the gene expression and identify genes involved in tumor progression, gene expression profiling was performed on tumor specimens. Samples comprised 18 primary tumors, 17 lymph node (LN) metastases and 7 liver metastases. Patients were grouped according to clinical data and histopathology into indolent or progressive course. RNA was subjected to a spotted oligo microarray and B-statistics were performed. Differentially expressed genes were verified using quantitative RT-PCR. Self-organising maps demonstrated three clusters. Eleven primary tumors separated in one cluster, 5 LN metastases in another whereas all liver metastases, 7 primary and 12 LN metastases, formed a third cluster. There was no correlation between indolent and progressive behaviour. The primary tumors with Ki67 > 5%, with low frequency of the carcinoid syndrome and a tendency towards shorter survival grouped together. Primary tumors differed in expression profile from their associated LN metastases. ACTG2, GREM2, REG3A, TUSC2, RUNX1, TPH1, TGFBR2 and CDH6 were differentially expressed between clusters and subgroups of tumors. The expression profile that assembles tumors as being genetically similar on the RNA expression level may not be concordant with the clinical disease course. This study reveals different gene expression profiles and novel genes not previously known to be involved in neuroendocrine tumorigenesis, and which may be of importance for tumor progression.
Project description:We performed an expression profiling study of 168 primary breast tumors, lymph node metastases, and autopsy samples of primary breast tumours and metastases to liver, chest wall, lymph node, lung, and spleen, as well as positive and negative RNA controls, with technical replicates, to assess quality control methodology and probe-level reproducibility of the Illumina DASL microarray assay. The experiment included both Illumina DASL HumanRef-v3 and DASL HT-12; this series includes only the 48 HT12 samples . This series includes 48 samples in total: 9 positive controls, 4 negative controls, and 35 primary breast tumors and metastatic lymph nodes.
Project description:We performed an expression profiling study of 168 primary breast tumors, lymph node metastases, and autopsy samples of primary breast tumours and metastases to liver, chest wall, lymph node, lung, and spleen, as well as positive and negative RNA controls, with technical replicates, to assess quality control methodology and probe-level reproducibility of the Illumina DASL microarray assay. The experiment included both Illumina DASL HumanRef-v3 and DASL HT-12; this series includes only the 120 HumanRef-v3 samples .
Project description:We performed an expression profiling study of 168 primary breast tumors, lymph node metastases, and autopsy samples of primary breast tumours and metastases to liver, chest wall, lymph node, lung, and spleen, as well as positive and negative RNA controls, with technical replicates, to assess quality control methodology and probe-level reproducibility of the Illumina DASL microarray assay. The experiment included both Illumina DASL HumanRef-v3 and DASL HT-12; this series includes only the 48 HT12 samples .
Project description:The project analyzed 88 breast cancer clinical samples, including lymph node negative and positive primary tumors, lymph node metastases, and healthy tissue as control. All samples were combined with a super-SILAC mix that served as an internal standard for quantification.
