C885069c-b937-4a3b-a433-9b5541983879 - samples
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ABSTRACT:
PROVIDER: EGAD00001009727 | EGA |
REPOSITORIES: EGA
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Project description:Advanced penile squamous cell carcinoma (PSCC) receiving first-line chemotherapy, visceral metastases (VM) and ECOG performance status ≥ 1 are poor prognostic factors for overall survival (OS). We hypothesized that tumor gene expression profiling may enhance prognostic stratification and identify potential therapeutic targets.
2016-08-18 | GSE85730 | GEO
Project description:Purpose: The long-term follow-up results from the EORTC-26951 trial showed that the addition of PCV after radiotherapy increases survival in anaplastic oligodendrogliomas/oligoastrocytomas (AOD/AOA). However, some patients appeared to benefit more from PCV treatment than others. Experimental Design: We performed genome-wide methylation profiling of 115 samples included in the EORTC-26951 trial and extracted the CpG island hypermethylated phenotype (CIMP) and MGMT promoter methylation (MGMT-STP27) status. Results: We first demonstrate that methylation profiling can be performed on archival tissues with a performance that is similar to snap frozen tissue samples. We then performed methylation profiling on EORTC-26951 clinical trial samples. Univariate analysis indicated that CIMP+ or MGMT-STP27 methylated tumors had an improved survival compared to CIMP- and/or MGMT-STP27 unmethylated tumors (median overall survival (OS) 1.05 v. 6.46 years and 1.06 v. 3.8 years, both P<0.0001 for CIMP and MGMT-STP27 status respectively). Multivariable analysis indicates that CIMP and MGMT-STP27 are significant prognostic factors for survival in presence of age, sex performance score and review diagnosis in the model.Multivariate analysis indicates that CIMP and MGMT-STP27 status are prognostic factors for survival independent of age, sex, performance score and review diagnosis. CIMP+ and MGMT-STP27 methylated tumors showed a clear benefit from adjuvant PCV chemotherapy: the median OS of CIMP+ samples in the RT and RT-PCV arms was 3.27 and 9.51 years respectively P=0.0033; for MGMT-STP27 methylated samples it was 1.98 and 8.65 years. There was no such benefit for CIMP- or for MGMT-STP27 unmethylated tumors. MGMT-STP27 status remained significant in an interaction test (P=0.003). Statistical analysis of microarray (SAM) identified 259 novel CpGs associated with treatment response. Conclusions: MGMT-STP27 may be used to guide treatment decisions in this tumor type. Bisulphite converted DNA from the 58 samples were hybridised to the Illumina Infinium 27k Human Methylation Beadchip The following sample characteristics are provided; OS: overall survival; PFS: progression free survival; CIMP: CpG Island Methylator phenotype; IGS: Intrinsic Glioma subtype; MGMT: O6-methylguanine-DNA-methyltransferase; OR diagn: original diagnosis; Rev diag: review diagnosis; Tum loc: Tumor location; Perf: Performance score; TRT: treatment Performance is based on the ECOG performance status Tum loc: tumor location indicated by 1: Biopsy; 2: Partial Resection; 3: Total Resection. The MGMT promoter methylation status was determined previously (van den Bent et al, J. Clin Oncol 27: 5881-6, 2009) using MS-MLPA and may differ from the MGMT-SPT27 status.
2013-08-26 | E-GEOD-48460 | biostudies-arrayexpress
Project description:Purpose: The long-term follow-up results from the EORTC-26951 trial showed that the addition of PCV after radiotherapy increases survival in anaplastic oligodendrogliomas/oligoastrocytomas (AOD/AOA). However, some patients appeared to benefit more from PCV treatment than others. Experimental Design: We performed genome-wide methylation profiling of 115 samples included in the EORTC-26951 trial and extracted the CpG island hypermethylated phenotype (CIMP) and MGMT promoter methylation (MGMT-STP27) status. Results: We first demonstrate that methylation profiling can be performed on archival tissues with a performance that is similar to snap frozen tissue samples. We then performed methylation profiling on EORTC-26951 clinical trial samples. Univariate analysis indicated that CIMP+ or MGMT-STP27 methylated tumors had an improved survival compared to CIMP- and/or MGMT-STP27 unmethylated tumors (median overall survival (OS) 1.05 v. 6.46 years and 1.06 v. 3.8 years, both P<0.0001 for CIMP and MGMT-STP27 status respectively). Multivariable analysis indicates that CIMP and MGMT-STP27 are significant prognostic factors for survival in presence of age, sex performance score and review diagnosis in the model.Multivariate analysis indicates that CIMP and MGMT-STP27 status are prognostic factors for survival independent of age, sex, performance score and review diagnosis. CIMP+ and MGMT-STP27 methylated tumors showed a clear benefit from adjuvant PCV chemotherapy: the median OS of CIMP+ samples in the RT and RT-PCV arms was 3.27 and 9.51 years respectively P=0.0033; for MGMT-STP27 methylated samples it was 1.98 and 8.65 years. There was no such benefit for CIMP- or for MGMT-STP27 unmethylated tumors. MGMT-STP27 status remained significant in an interaction test (P=0.003). Statistical analysis of microarray (SAM) identified 259 novel CpGs associated with treatment response. Conclusions: MGMT-STP27 may be used to guide treatment decisions in this tumor type. Bisulphite converted DNA from the 59 samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip The following sample characteristics are provided; OS: overall survival; PFS: progression free survival; CIMP: CpG Island Methylator phenotype; IGS: Intrinsic Glioma subtype; MGMT: O6-methylguanine-DNA-methyltransferase; OR diagn: original diagnosis; Rev diag: review diagnosis; Tum loc: Tumor location; Perf: Performance score; TRT: treatment Performance is based on the ECOG performance status Tum loc: tumor location indicated by 1: Biopsy; 2: Partial Resection; 3: Total Resection. The MGMT promoter methylation status was determined previously (van den Bent et al, J. Clin Oncol 27: 5881-6, 2009) using MS-MLPA and may differ from the MGMT-SPT27 status.
2013-08-26 | E-GEOD-48461 | biostudies-arrayexpress
Project description:Background: Gene expression profiling of breast carcinomas has increased our understanding of the heterogeneous biology of this disease and promises to impact clinical care. The aim of this study was to evaluate the prognostic value of gene expression-based classification along with established prognostic markers and mutation status of the TP53 gene, in a group of breast cancer patients with long-term (12-16 years) follow-up. Methods: The clinical and histopathological parameters of 200 breast cancer patients were studied for their effects on clinical outcome using univariate/multivariate Cox regression. The prognostic impact of mutations in the TP53 gene, identified using TTGE and sequencing, was also evaluated. Eighty of the samples were analyzed for gene expression using 42K cDNA microarrays and the patients were assigned to five previously defined molecular expression groups. The strength of the gene expression based classification versus standard markers was evaluated by adding this variable to the Cox regression model used to analyze all samples. Results: Both univariate and multivariate analysis showed that TP53 mutation status, tumor size and lymph node status were the strongest predictors of breast cancer survival for the whole group of patients. Analyses of the patients with gene expression data showed that TP53 mutation status, gene expression based classification, tumor size and lymph node status were significant predictors of survival. The TP53 mutation status showed strong association with the ?basal-like? and ?ERBB2+? gene expression subgroups, and tumors with mutation had a characteristic gene expression pattern. Conclusions: TP53 mutation status and gene-expression based groups are important survival markers of breast cancer, and these molecular markers may provide prognostic information that complements clinical variables. The study adds experience and knowledge to an ongoing characterization and classification of the disease. Experiment set consisting of 80 primary breast carcinomas collected at Ulleval University Hospital (ULL-samples), Oslo, Norway from 1990-94, and one normal sample from breast reduction surgery.
2012-09-18 | E-GEOD-40954 | biostudies-arrayexpress
Project description:Colorectal cancer (CRC) is the third most common cancer worldwide and is a heterogeneous disease, with differences between cancer in the right colon, left colon, and rectum. In this study, plasma samples from CRC patients with varying stage (II or III), primary tumor location (right colon, left colon, or rectum) and survival (survived or died due to CRC) were studied with quantitative label-free proteomics using ultra-definition MSE. Patients were also divided into subgroups based on preoperative radiotherapy status and gender. Further analysis subsequently identified multiple plasma proteins whose expression differed depending on tumor stage, location, patient survival, preoperative radiotherapy status, or gender.
2019-08-22 | PXD013150 | Pride
Project description:Background: Gene expression profiling of breast carcinomas has increased our understanding of the heterogeneous biology of this disease and promises to impact clinical care. The aim of this study was to evaluate the prognostic value of gene expression-based classification along with established prognostic markers and mutation status of the TP53 gene, in a group of breast cancer patients with long-term (12-16 years) follow-up. Methods: The clinical and histopathological parameters of 200 breast cancer patients were studied for their effects on clinical outcome using univariate/multivariate Cox regression. The prognostic impact of mutations in the TP53 gene, identified using TTGE and sequencing, was also evaluated. Eighty of the samples were analyzed for gene expression using 42K cDNA microarrays and the patients were assigned to five previously defined molecular expression groups. The strength of the gene expression based classification versus standard markers was evaluated by adding this variable to the Cox regression model used to analyze all samples. Results: Both univariate and multivariate analysis showed that TP53 mutation status, tumor size and lymph node status were the strongest predictors of breast cancer survival for the whole group of patients. Analyses of the patients with gene expression data showed that TP53 mutation status, gene expression based classification, tumor size and lymph node status were significant predictors of survival. The TP53 mutation status showed strong association with the ?basal-like? and ?ERBB2+? gene expression subgroups, and tumors with mutation had a characteristic gene expression pattern. Conclusions: TP53 mutation status and gene-expression based groups are important survival markers of breast cancer, and these molecular markers may provide prognostic information that complements clinical variables. The study adds experience and knowledge to an ongoing characterization and classification of the disease.
2012-09-18 | GSE40954 | GEO