Clinical implications of gene dosage and gene expression patterns in diploid breast carcinoma (transcriptomic profiling)
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE20462 | GEO | 2010/06/10
SECONDARY ACCESSION(S): PRJNA129555
REPOSITORIES: GEO
Similar Datasets
Project description:Genomic and expression profiling using 38K BAC array-CGH and Illumina HT-12 beadchips were performed on 97 diploid invasive breast tumors to assess the impact of gene dosage on gene expression patterns and the effect of other mechanisms on transcriptional levels. Patient stratification was performed according to axillary lymph node status (node-negative, pN0; node-positive, pN1) and overall survival (>8-year survivors; breast cancer-specific mortality within 8 years of diagnosis). Array-CGH results was validated by FISH using tumors showing HER2/neu gene amplification and expression profiling was confirmed using qPCR for 16 transcripts.
2010-06-10 | GSE20483 | GEO
Project description:Genomic and expression profiling using 38K BAC array-CGH and Illumina HT-12 beadchips were performed on 97 diploid invasive breast tumors to assess the impact of gene dosage on gene expression patterns and the effect of other mechanisms on transcriptional levels. Patient stratification was performed according to axillary lymph node status (node-negative, pN0; node-positive, pN1) and overall survival (>8-year survivors; breast cancer-specific mortality within 8 years of diagnosis). Array-CGH results was validated by FISH using tumors showing HER2/neu gene amplification and expression profiling was confirmed using qPCR for 16 transcripts. This SuperSeries is composed of the SubSeries listed below.
2010-06-10 | GSE20486 | GEO
Project description:Genomic and expression profiling using 38K BAC array-CGH and Illumina HT-12 beadchips were performed on 97 diploid invasive breast tumors to assess the impact of gene dosage on gene expression patterns and the effect of other mechanisms on transcriptional levels. Patient stratification was performed according to axillary lymph node status (node-negative, pN0; node-positive, pN1) and overall survival (>8-year survivors; breast cancer-specific mortality within 8 years of diagnosis). Array-CGH results was validated by FISH using tumors showing HER2/neu gene amplification and expression profiling was confirmed using qPCR for 16 transcripts. Genomic DNA was isolated from fresh-frozen tissue samples
2010-06-10 | E-GEOD-20483 | biostudies-arrayexpress
Project description:Genomic and expression profiling using 38K BAC array-CGH and Illumina HT-12 beadchips were performed on 97 diploid invasive breast tumors to assess the impact of gene dosage on gene expression patterns and the effect of other mechanisms on transcriptional levels. Patient stratification was performed according to axillary lymph node status (node-negative, pN0; node-positive, pN1) and overall survival (>8-year survivors; breast cancer-specific mortality within 8 years of diagnosis). Array-CGH results was validated by FISH using tumors showing HER2/neu gene amplification and expression profiling was confirmed using qPCR for 16 transcripts. This SuperSeries is composed of the following subset Series: GSE20462: Clinical implications of gene dosage and gene expression patterns in diploid breast carcinoma (transcriptomic profiling) GSE20483: Clinical implications of gene dosage and gene expression patterns in diploid breast carcinoma (CGH) Refer to individual Series
2010-06-10 | E-GEOD-20486 | biostudies-arrayexpress
Project description:Lymph node metastasis is a poor prognosis indicator in esophageal cancer. Although tumor spreading currently forms the main basis for therapy selection, the molecular mechanisms underlying the metastatic pathway remain insufficiently understood. Several studies aimed to investigate these mechanisms but focused mainly on regulatory patterns in the tumors themselves and/or the invaded lymph nodes. To date no study has yet investigated the potential changes on transcription level, which take place within the yet non-invaded niche. Here we provide a comprehensive description of these regulations in patients. In this study the transcriptomic profiles of regional lymph nodes were determined for two patient groups: patients classified as pN1 (metastasis) or pN0 (no metastasis) respectively. All investigated lymph nodes, also those from pN1 patients, were still free of metastasis. The gene expression data was obtained via microarray analysis. Top candidates were validated via PCR and immunohistochemistry. The results show that regional lymph nodes of pN1 patients differ decisively from those of pN0 patients – even before metastasis has taken place. In the pN0 group distinct immune response patterns were observed. In contrast, lymph nodes of the pN1 group exhibited a clear profile of reduced immune response and reduced proliferation, but increased apoptosis, enhanced hypoplasia and morphological conversion processes. DKK1 was the most significant gene associated with the molecular mechanisms taking place in lymph nodes of patients suffering from metastasis (pN1). We assume that the two molecular profiles observed constitute two different stages of a progressive disease. Finally we suggest that DKK1 might play an important role within the mechanisms leading to lymph node metastasis. First, samples were classified according to the principal status of the patients exhibiting (pN1 group) or non-exhibiting (pN0 group) metastasis in regional lymph nodes. The comparison of pN1 and pN0 patients should highlight the general differences in regulations that might lead to or prevent from metastasis. Second, two lymph node samples were collected from each patient, one node located close to the tumor (regional) and the second node distant to the tumor. While the distant nodes served as reference sample the regional nodes were investigated for transcriptional regulations. Key to the work presented here is that all nodes investigated were made sure to be still metastasis free, independent of the patients’ pN1/pN0 classification and of the location relative to the tumor. This should allow the identification of early changes occurring prior to metastasis homing.
2015-05-18 | E-GEOD-51021 | biostudies-arrayexpress
Project description:We assessed transcriptome-wide gene expression in tissue specimens of PCa patients who underwent radical prostatectomy (RP) by next-generation sequencing (HiSeq 2500). We applied Cox proportional hazard models to the cohorts from different platforms and specimen types and combined the evidence from these by fixed effect meta-analysis to identify genes predictive for time to DoD (death of disease). Genes were combined by a weighted median approach into a prognostic score. We stratified PCa patients according to seven clinical risk groups based on Gleason Score (GS), the presence of regional lymph node metastases (pN) and the occurrence of death of disease (DoD): (i) very low risk (group V: GS<7, pN0), (ii) low risk (group L: GS=7, pN0), (iii) medium risk (group M: GS<=7, pN1), (iv) high risk survivors without lymph node infiltration (group H-s: GS>7, pN0), (v) high risk non-survivors without lymph node infiltration (group H-d: GS>7, pN0, DoD), (vi) high risk survivors with lymph node infiltration (group H+s: GS>7, pN1), (vii) high risk non-survivors with lymph node infiltration (group H+d: GS>7, pN1, DoD). For high risk groups adjacent tumor-free prostate tissue samples were obtained (groups H+sf, H-sf, H+df, H+df). Information on the course of the disease, survival of the patients and the cause of death were obtained from the general practitioners or treating urologists or from records of the regional tumor registry. Clinicopathological parameters were obtained by routine histopathological examination of the surgical specimens. Serum levels of the prostate-specific antigen (PSA) were determined preoperatively (Abbott, Wiesbaden, Germany).
2020-07-21 | GSE134170 | GEO
Project description:Lymph node metastasis is a poor prognosis indicator in esophageal cancer. Although tumor spreading currently forms the main basis for therapy selection, the molecular mechanisms underlying the metastatic pathway remain insufficiently understood. Several studies aimed to investigate these mechanisms but focused mainly on regulatory patterns in the tumors themselves and/or the invaded lymph nodes. To date no study has yet investigated the potential changes on transcription level, which take place within the yet non-invaded niche. Here we provide a comprehensive description of these regulations in patients. In this study the transcriptomic profiles of regional lymph nodes were determined for two patient groups: patients classified as pN1 (metastasis) or pN0 (no metastasis) respectively. All investigated lymph nodes, also those from pN1 patients, were still free of metastasis. The gene expression data was obtained via microarray analysis. Top candidates were validated via PCR and immunohistochemistry. The results show that regional lymph nodes of pN1 patients differ decisively from those of pN0 patients – even before metastasis has taken place. In the pN0 group distinct immune response patterns were observed. In contrast, lymph nodes of the pN1 group exhibited a clear profile of reduced immune response and reduced proliferation, but increased apoptosis, enhanced hypoplasia and morphological conversion processes. DKK1 was the most significant gene associated with the molecular mechanisms taking place in lymph nodes of patients suffering from metastasis (pN1). We assume that the two molecular profiles observed constitute two different stages of a progressive disease. Finally we suggest that DKK1 might play an important role within the mechanisms leading to lymph node metastasis.
2015-05-18 | GSE51021 | GEO
Project description:We assessed differential gene expression in tissue specimens of PCa and BPH patients who underwent radical prostatectomy by next-generation sequencing (HiSeq 2000). We stratified PCa patients according to seven clinical risk groups based on Gleason Score (GS), the presence of regional lymph node metastases (pN) and the occurrence of death of disease (DoD): (i) very low risk (group V: GS<7, pN0), (ii) low risk (group L: GS=7, pN0), (iii) medium risk (group M: GS<=7, pN1), (iv) high risk survivors without lymph node infiltration (group H-s: GS>7, pN0), (v) high risk non-survivors without lymph node infiltration (group H-d: GS>7, pN0, DoD), (vi) high risk survivors with lymph node infiltration (group H+s: GS>7, pN1), (vii) high risk non-survivors with lymph node infiltration (group H+d: GS>7, pN1, DoD). For high risk groups adjacent tumor-free prostate tissue samples were obtained (groups H+sf, H-sf, H+df, H+df). The control group contained patients with benign prostate hyperplasia (group C). Information on the course of the disease, survival of the patients and the cause of death were obtained from the general practitioners or treating urologists or from records of the regional tumor registry. Clinicopathological parameters were obtained by routine histopathological examination of the surgical specimens. Serum levels of the prostate-specific antigen (PSA) were determined preoperatively (Abbott, Wiesbaden, Germany). Frozen tissue samples were embedded in Tissue-Tek OCT-compound (Sakura Finetek GmbH, Staufen im Breisgau, Germany) and fixed on metal indenters by freezing. Cryo-sections were prepared using a cryo-microtome (Leica Biosystems, Nußloch, Germany) equipped with a microtome blade C35 cooled to -28 °C. For every tissue three stacks of consecutive cryo-sections (10 µm) were generated, each bordered/flanked by HE-stained cryo-sections (4 µm), which were evaluated by a pathologist with regard to tumor and stroma cell content. PCa tissue stacks had to be flanked on either side by sections containing at least 50 % tumor cells to be used for further analyses. Sections of the tissue stacks were immediately transferred to 1 ml Qiazol (Qiagen, Hilden, Germany) and stored at -80 °C until RNA isolation.
2020-06-17 | GSE134073 | GEO
Project description:We assessed transcriptome-wide gene expression in tissue specimens of PCa patients who underwent radical prostatectomy by next-generation sequencing (HiSeq 2000). We applied Cox proportional hazard models to the cohorts from different platforms and specimen types and combined the evidence from these by fixed effect meta-analysis to identify genes predictive for time to DoD (death of disease). Genes were combined by a weighted median approach into a prognostic score. We stratified PCa patients according to seven clinical risk groups based on Gleason Score (GS), the presence of regional lymph node metastases (pN) and the occurrence of death of disease (DoD): (i) very low risk (group V: GS<7, pN0), (ii) low risk (group L: GS=7, pN0), (iii) medium risk (group M: GS<=7, pN1), (iv) high risk survivors without lymph node infiltration (group H-s: GS>7, pN0), (v) high risk non-survivors without lymph node infiltration (group H-d: GS>7, pN0, DoD), (vi) high risk survivors with lymph node infiltration (group H+s: GS>7, pN1), (vii) high risk non-survivors with lymph node infiltration (group H+d: GS>7, pN1, DoD). For high risk groups adjacent tumor-free prostate tissue samples were obtained (groups H+sf, H-sf, H+df, H+df). Information on the course of the disease, survival of the patients and the cause of death were obtained from the general practitioners or treating urologists or from records of the regional tumor registry. Clinicopathological parameters were obtained by routine histopathological examination of the surgical specimens. Serum levels of the prostate-specific antigen (PSA) were determined preoperatively (Abbott, Wiesbaden, Germany). Frozen tissue samples were embedded in Tissue-Tek OCT-compound (Sakura Finetek GmbH, Staufen im Breisgau, Germany) and fixed on metal indenters by freezing. Cryo-sections were prepared using a cryo-microtome (Leica Biosystems, Nußloch, Germany) equipped with a microtome blade C35 cooled to -28 °C. For every tissue three stacks of consecutive cryo-sections (10 µm) were generated, each bordered/flanked by HE-stained cryo-sections (4 µm), which were evaluated by a pathologist with regard to tumor and stroma cell content. PCa tissue stacks had to be flanked on either side by sections containing at least 50 % tumor cells to be used for further analyses. Sections of the tissue stacks were immediately transferred to 1 ml Qiazol (Qiagen, Hilden, Germany) and stored at -80 °C until RNA isolation.
2020-07-21 | GSE134168 | GEO
Project description:We assessed differential gene expression in tissue specimens of PCa and BPH patients who underwent radical prostatectomy by customized expression microarrays (Agilent). To detect gene signatures of diagnostic and prognostic value, we assessed fresh frozen radical prostatectomy (RP) samples of PCa and BPH patients by transcriptome-wide sequencing and Agilent custom microarrays. We stratified PCa patients according to seven clinical risk groups based on Gleason Score (GS), the presence of regional lymph node metastases (pN) and the occurrence of death of disease (DoD): (i) very low risk (group V: GS<7, pN0), (ii) low risk (group L: GS=7, pN0), (iii) medium risk (group M: GS<=7, pN1), (iv) high risk survivors without lymph node infiltration (group H-s: GS>7, pN0), (v) high risk non-survivors without lymph node infiltration (group H-d: GS>7, pN0, DoD), (vi) high risk survivors with lymph node infiltration (group H+s: GS>7, pN1), (vii) high risk non-survivors with lymph node infiltration (group H+d: GS>7, pN1, DoD). For high risk groups adjacent tumor-free prostate tissue samples were obtained (groups H+sf, H-sf, H+df, H+df). The control group contained patients with benign prostate hyperplasia (group C). Information on the course of the disease, survival of the patients and the cause of death were obtained from the general practitioners or treating urologists or from records of the regional tumor registry. Clinicopathological parameters were obtained by routine histopathological examination of the surgical specimens. Serum levels of the prostate-specific antigen (PSA) were determined preoperatively (Abbott, Wiesbaden, Germany). Frozen tissue samples were embedded in Tissue-Tek OCT-compound (Sakura Finetek GmbH, Staufen im Breisgau, Germany) and fixed on metal indenters by freezing. Cryo-sections were prepared using a cryo-microtome (Leica Biosystems, Nußloch, Germany) equipped with a microtome blade C35 cooled to -28 °C. For every tissue three stacks of consecutive cryo-sections (10 µm) were generated, each bordered/flanked by HE-stained cryo-sections (4 µm), which were evaluated by a pathologist with regard to tumor and stroma cell content. PCa tissue stacks had to be flanked on either side by sections containing at least 50 % tumor cells to be used for further analyses. Sections of the tissue stacks were immediately transferred to 1 ml Qiazol (Qiagen, Hilden, Germany) and stored at -80 °C until RNA isolation.
2020-06-17 | GSE134051 | GEO