Prognostic significance of copy-number alterations in multiple myeloma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE12896 | GEO | 2009/08/20
SECONDARY ACCESSION(S): PRJNA110893
REPOSITORIES: GEO
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Project description:Purpose Chromosomal aberrations are a hallmark of multiple myeloma but their global prognostic impact is largely unknown. Methods We performed a genome-wide analysis of malignant plasma cells from 192 newly myeloma patients using high-density, single-nucleotide polymorphism (SNP) arrays to identify genetic lesions associated with prognosis. Results Our analyses revealed deletions and amplifications in 98% of cases. Amplifications in 1q and deletions in 1p, 12p, 14q, 16q, and 22q were the most frequent lesions associated with adverse prognosis while recurrent amplifications of chromosomes 5, 9, 11, 15 and 19 conferred a favorable prognosis. Multivariate analysis retained three independent lesions: amp(1q23.3), amp(5q31.3) and del(12p13.31). When adjusted to the established prognostic variables ie t(4;14), and serum beta2-microglobulin (Sb2M), del(12p13.31) remained the most powerful independent marker (P <.0001; hazard ratio = 3.17) followed by Sb2M (P <.0001; hazard ratio = 2.78) and amp(5q31.3) (P =.0005; hazard ratio = 0.37). Cases with amp(5q31.3) alone and low Sb2M had an excellent prognosis (5-year overall survival = 87%) conversely cases with del(12p13.31) alone or amp(5q31.3) and del(12p13.31) and high Sb2M had a very poor outcome (5-year overall survival = 20%). Moreover, integration of SNP mapping and gene expression identified CD27 as potential critical gene responsible for poor prognosis of del(12p) myeloma patients. Conclusion These findings demonstrate the power and accessibility of molecular karyotyping to identify novel strong independent prognostic markers: amp(5q31.3) and del(12p13.31) and to provide insights into putative pathways deregulated in sub classes of cancer patients. Keywords: Human chromosome copy-number alterations study 192 myeloma patients at diagnosis examined with 500K Set Affymetrix chips
2009-08-19 | E-GEOD-12896 | biostudies-arrayexpress
Project description:Cytogenetics abnormalities (CA) are known to be the preponderant prognostic factor in multiple myeloma (MM). Our team has recently developeda prognostic score based on 6 CA, where del(1p32) appears to be the second worst abnormality after del(17p). The aim of this study was to confirm the adverse impact of 1p32 deletion on newly-diagnosed multiple myeloma (NDMM) patients. Among 2551 NDMM patients, 11% were harboring del(1p32). Their overall survival (OS) was half as long as the OS of patients without del(1p32) (49 months vs. 124 months). Likewise, progression-free survival was significantly shorter. More importantly, double-deletion of the 1p32 locus conferred a dramatically poorer prognosis than a monoallelic del(1p32) (OS: 25 months vs. 60 months). As expected, the OS of del(1p32) patients significantly decreased when this abnormality was associated with other high-risk CA (del(17p), t(4;14) or gain(1q)). In the multivariate analysis, del(1p32) appeared as a negative prognostic factor; after adjustment for age and treatment, the risk of progression was 1.3 times higher among patients harboring del(1p32), and the risk of death was 1.9 times higher. At the dawn of risk-adapted treatment strategies, we have confirmed the adverse impact of del(1p32) in MM and the relevance of its assessment at diagnosis.
2022-12-14 | GSE216574 | GEO
Project description:This study aimed to identify the genetic signatures associated with disease prognosis in bladder cancer. We used 165 primary bladder cancer samples, 23 recurrent non-muscle invasive tumor tissues, 58 normal looking bladder mucosae surrounding cancer and 10 normal bladder mucosae for microarray analysis. Hierarchical clustering was used to stratify the prognosis-related gene classifiers. For validation, real-time reverse-transcriptase polymerase chain reaction (RT-PCR) of top-ranked 14 genes was performed. On unsupervised hierarchical clustering using prognosis related gene-classifier, tumors were divided into 2 groups. The high risk gene signatures had significantly poor prognosis compared to low risk gene signatures (P<0.001 by the log-rank test, respectively). The prognosis-related gene classifiers correlated significantly with recurrence of non-muscle invasive bladder cancer (hazard ratio, 4.09; 95% confidence interval [CI], 1.94 to 8.64; P<0.001), and progression (hazard ratio, 23.68; 95% confidence interval [CI], 4.91 to 114.30; P<0.001), cancer-specific survival (hazard ratio, 29.25; 95% confidence interval [CI], 3.47 to 246.98; P=0.002) and overall survival (hazard ratio, 23.33; 95% confidence interval [CI], 4.97 to 109.50; P<0.001) of muscle invasive bladder cancer (p < 0.001, respectively). No patient with non-muscle invasive bladder cancer experienced cancer progression in low risk gene signature group. Prognosis-related gene classifiers validated by RT- PCR showed identical results. Prognosis related gene-classifiers provided strong predictive value for disease outcome. These gene classifiers could assist in selecting patients who might benefit from more aggressive therapeutic intervention or surveillance. Keywords: Gene expression, Bladder cancer, Prognosis
2010-05-06 | GSE13507 | GEO
Project description:BACKGROUND; Cisplatin-containing chemotherapy is the standard of care for patients with locally advanced and metastatic transitional cell carcinoma of the urothelium. The response rate is around 50% and tumor derived molecular prognostic markers are needed for estimation of response and survival. METHODS; Affymetrix GeneChip expression profiling was carried out using tumor material from 30 patients. A set of genes having an expression with high correlation to survival time after chemotherapy was identified. Two of these genes were selected for validation by immunohistochemistry (IHC) in tumor tissue from 149 cisplatin treated patients having complete follow-up data. RESULTS; Fifty-five differentially expressed genes correlated significantly to survival time. Two of these (Emmprin and Survivin) were validated using IHC, and multivariate analysis (n=145) identified Emmprin expression (hazard ratio 2.38; p<0.0001) and Survivin expression (hazard ratio 2.34; p<0.0001) as independent prognostic markers for poor outcome, together with the presence of visceral metastases (hazard ratio 2.72; p<0.0001). In the good prognosis group of patients without visceral metastases, both markers showed significant discriminating power as supplemental risk factors (p<0.0001). Within this group of patients, the subgroups of patients with no positive, one positive or two positive IHC stainings (Emmprin and Survivin) had estimated 5-year survival rates (+- SE) of 35.6+-?%, 6.3+-?%, and 0+?%, respectively. Response to chemotherapy could also be predicted with an OddsRatio of 4.60 (2.13-9.93) and 2.59 (1.25-5.38) for Emmprin and Survivin respectively. CONCLUSION; Emmprin and Survivin proteins were identified as strong independent prognostic predictors for response and survival after cisplatin-containing chemotherapy in patients with bladder cancer. Experiment Overall Design: Tumors from 30 patients with advanced bladder cancer used in the study. A SAM analysis was used for identifying genes co-varying with treatment response.
2008-06-13 | E-GEOD-5287 | biostudies-arrayexpress
Project description:BACKGROUND Cisplatin-containing chemotherapy is the standard of care for patients with locally advanced and metastatic transitional cell carcinoma of the urothelium. The response rate is around 50% and tumor derived molecular prognostic markers are needed for estimation of response and survival. METHODS Affymetrix GeneChip expression profiling was carried out using tumor material from 30 patients. A set of genes having an expression with high correlation to survival time after chemotherapy was identified. Two of these genes were selected for validation by immunohistochemistry (IHC) in tumor tissue from 149 cisplatin treated patients having complete follow-up data. RESULTS Fifty-five differentially expressed genes correlated significantly to survival time. Two of these (Emmprin and Survivin) were validated using IHC, and multivariate analysis (n=145) identified Emmprin expression (hazard ratio 2.38; p<0.0001) and Survivin expression (hazard ratio 2.34; p<0.0001) as independent prognostic markers for poor outcome, together with the presence of visceral metastases (hazard ratio 2.72; p<0.0001). In the good prognosis group of patients without visceral metastases, both markers showed significant discriminating power as supplemental risk factors (p<0.0001). Within this group of patients, the subgroups of patients with no positive, one positive or two positive IHC stainings (Emmprin and Survivin) had estimated 5-year survival rates (+- SE) of 35.6+-?%, 6.3+-?%, and 0+?%, respectively. Response to chemotherapy could also be predicted with an OddsRatio of 4.60 (2.13-9.93) and 2.59 (1.25-5.38) for Emmprin and Survivin respectively. CONCLUSION Emmprin and Survivin proteins were identified as strong independent prognostic predictors for response and survival after cisplatin-containing chemotherapy in patients with bladder cancer. Keywords: Analysis of gene expression differences between responders and non-responders to chemotherapy
2007-08-01 | GSE5287 | GEO
Project description:This study aimed to identify the genetic signatures associated with disease prognosis in bladder cancer. We used 165 primary bladder cancer samples, 23 recurrent non-muscle invasive tumor tissues, 58 normal looking bladder mucosae surrounding cancer and 10 normal bladder mucosae for microarray analysis. Hierarchical clustering was used to stratify the prognosis-related gene classifiers. For validation, real-time reverse-transcriptase polymerase chain reaction (RT-PCR) of top-ranked 14 genes was performed. On unsupervised hierarchical clustering using prognosis related gene-classifier, tumors were divided into 2 groups. The high risk gene signatures had significantly poor prognosis compared to low risk gene signatures (P<0.001 by the log-rank test, respectively). The prognosis-related gene classifiers correlated significantly with recurrence of non-muscle invasive bladder cancer (hazard ratio, 4.09; 95% confidence interval [CI], 1.94 to 8.64; P<0.001), and progression (hazard ratio, 23.68; 95% confidence interval [CI], 4.91 to 114.30; P<0.001), cancer-specific survival (hazard ratio, 29.25; 95% confidence interval [CI], 3.47 to 246.98; P=0.002) and overall survival (hazard ratio, 23.33; 95% confidence interval [CI], 4.97 to 109.50; P<0.001) of muscle invasive bladder cancer (p < 0.001, respectively). No patient with non-muscle invasive bladder cancer experienced cancer progression in low risk gene signature group. Prognosis-related gene classifiers validated by RT- PCR showed identical results. Prognosis related gene-classifiers provided strong predictive value for disease outcome. These gene classifiers could assist in selecting patients who might benefit from more aggressive therapeutic intervention or surveillance. Keywords: Gene expression, Bladder cancer, Prognosis 165 primary bladder cancer samples and 23 recurrent non-muscle invasive tumor tissues from 14 patients were taken in the Chungbuk National University Hospital. Only histologically verified transitional cell carcinoma samples were selected. Simultaneously 58 normal looking bladder mucosae surrounding cancer were obtained during the operation, which were histologically confirmed normal. Also, 10 normal bladder mucosae were obtained from patients with benign disease. The normal controls were determined to be free of cancer after revealing no malignant cells on urine cytology and no observable bladder cancer on cystoscopic examination during operation for their diseases, and were histologically reconfirmed normal.
2010-05-28 | E-GEOD-13507 | biostudies-arrayexpress
Project description:Background and objective: The chromosome 13 deletion (del(13)) represents one of the most frequent chromosomal alterations in multiple myeloma (MM). del(13) is associated with an unfavorable prognosis, although there is an increasing agreement that its prognostic relevance has to be related to the ploidy status and the presence of different chromosomal translocations. This study is aimed at providing a comprehensive analysis of the transcriptional features of del(13) in MM. Design and methods: Highly purified plasma cells from 80 newly diagnosed MM patients were characterized by means of FISH and high-density oligonucleotide microarray for gene expression profiling and chromosomal alterations. Results: We identified 67 differentially expressed genes in the del(13)+ and del(13)- groups, all of which downregulated in the del(13)+ cases: 44 mapped along the whole chromosome 13, seven on chromosome 11 and three on chromosome 19. Functional analyses of the selected genes indicated their involvement in protein biosynthesis, ubiquitination and transcriptional regulation. An integrative genomic approach based on regional analyses of the gene expression data identified distinct chromosomal regions whose global expression modulation could differentiate del(13)+, in particular the upregulation of 1q21-1q42 and the downregulation of 19p and almost the entire chromosome 11. FISH analyses confirmed the close relationship between del(13)+ and the presence of extracopies of 1q21-1q42 (P=6x10-4) or the absence of chromosome 11 and 19 trisomy (P=5x10-4). Interpretation and conclusions: Our results indicate that distinct types of chromosomal aberrations are closely related to the transcriptional profiles of del(13)+, suggesting that the contribution of del(13) on the malignancy should be considered together with associated abnormalities. Keywords: disease state analysis
2007-01-01 | GSE6365 | GEO
Project description:To identify and evaluate the prognostic ability of progression-free survival-related profile for advanced-stage ovarian cancer, advanced-stage serous ovarian cancer tissues from 110 patients who received primary surgery and a platinum/taxane-based chemotherapy were profiled using oligonucleotide microarrays of more than 40,000 transcripts. We first selected 88 genes by a univariate Cox proportional hazard analysis (p<0.01) and next optimized regression coefficients by ridge regression model using 10-fold cross-validation. The prognostic index was independently associated with PFS time compared to other clinical factors in multivariate analysis [hazard ratio (HR), 3.72; 95% confidence interval (CI), 2.66–5.43; p,0.0001]. In an external dataset, multivariate analysis revealed that this prognostic index was significantly correlated with PFS time (HR, 1.54; 95% CI, 1.20–1.98; p = 0.0008). Furthermore, the correlation between the prognostic index and overall survival time was confirmed in the two independent external datasets (log rank test, p = 0.0010 and 0.0008). In multivariable analysis, our prognostic index was independently associated with progression-free survival times compared to other clinical factors (p<0.001). Furthermore, the prognostic ability of our prognostic index was validated in external, publicly available dataset (n = 87), and was proved in multivariate analysis (p = 0.0032). These results suggest that disease progression or recurrence of advanced-stage serous ovarian cancer can be predicted by gene expression profile. The prognostic ability of our index based on the 88-gene expression profile in ridge regression Cox hazard model was shown to be independent of other clinical factors in predicting cancer prognosis across two distinct datasets. Further study will be necessary to improve predictive accuracy of the prognostic index toward clinical application for evaluation of the risk of recurrence in patients with advanced-stage serous ovarian cancer.
2010-03-22 | GSE17260 | GEO
Project description:Elevated level of circulating cell-free DNA (cfDNA) has been associated with poor prognosis and relapse in patients with diffuse large B-cell lymphoma (DLBCL), but the tumor-specific molecular alterations in cfDNA with prognostic significance remain unclear. We investigated the association between 5-hydroxymethylcytosines (5hmC), a mark of active demethylation and gene activation, in cfDNA from blood plasma and prognosis in DLBCL. We used the 5hmC-Seal, a highly sensitive chemical labeling technique, to profile genome-wide 5hmC in plasma cfDNA samples from 48 newly diagnosed patients with DLBCL at the University of Chicago between 2010 and 2012. Patients were followed through December 31, 2017. We found a distinct genomic distribution of 5hmC in cfDNA marking tissue-specific enhancers, consistent with their potential roles in gene regulation. The 5hmC profiles in cfDNA differed by cell-of-origin, and were associated with clinical prognostic features including Ann Arbor stage, serum lactate dehydrogenase (LDH) level, and the International Prognostic Index (IPI). We developed a 29 gene-based weighted prognostic score (wp-score) for predicting event-free survival (EFS) and overall survival (OS), by applying the elastic net regularization on the Cox proportional hazard model. The wp-scores showed significantly improved prognostic accuracy and/or sensitivity/specificity than the established prognostic factors. In multivariate Cox models, patients with high wp-scores were associated with worse event-free survival (Hazard Ratio [HR] = 9.17, 95% confidence interval [CI] = 2.01- 41.89, p = 0.004), compared with those in the low risk group. Our findings suggest that the 5hmC signatures in cfDNA at the time of diagnosis are associated with clinical outcomes in DLBCL and may provide a novel non-invasive prognostic approach for DLBCL.
2019-11-15 | GSE126676 | GEO
Project description:Background and objective: The chromosome 13 deletion (del(13)) represents one of the most frequent chromosomal alterations in multiple myeloma (MM). del(13) is associated with an unfavorable prognosis, although there is an increasing agreement that its prognostic relevance has to be related to the ploidy status and the presence of different chromosomal translocations. This study is aimed at providing a comprehensive analysis of the transcriptional features of del(13) in MM. Design and methods: Highly purified plasma cells from 80 newly diagnosed MM patients were characterized by means of FISH and high-density oligonucleotide microarray for gene expression profiling and chromosomal alterations. Results: We identified 67 differentially expressed genes in the del(13)+ and del(13)- groups, all of which downregulated in the del(13)+ cases: 44 mapped along the whole chromosome 13, seven on chromosome 11 and three on chromosome 19. Functional analyses of the selected genes indicated their involvement in protein biosynthesis, ubiquitination and transcriptional regulation. An integrative genomic approach based on regional analyses of the gene expression data identified distinct chromosomal regions whose global expression modulation could differentiate del(13)+, in particular the upregulation of 1q21-1q42 and the downregulation of 19p and almost the entire chromosome 11. FISH analyses confirmed the close relationship between del(13)+ and the presence of extracopies of 1q21-1q42 (P=6x10-4) or the absence of chromosome 11 and 19 trisomy (P=5x10-4). Interpretation and conclusions: Our results indicate that distinct types of chromosomal aberrations are closely related to the transcriptional profiles of del(13)+, suggesting that the contribution of del(13) on the malignancy should be considered together with associated abnormalities. Experiment Overall Design: This series of microarray experiments contains the gene expression profiles of purified plasma cells (PCs) obtained from 90 newly diagnosed multiple myeloma (MM). PCs were purified from bone marrow specimens, after red blood cell lysis with 0.86% ammonium chloride, using CD138 immunomagnetic microbeads. The purity of the positively selected PCs was assessed by morphology and flow cytometry and was > 90% in all cases. 5 micrograms of total RNA was processed and, in accordance with the manufacturer's protocols, 15 micrograms of fragmented biotin-labelled cRNA were hybridized on GeneChip Human Genome U133A Arrays (Affymetrix Inc.). The arrays were scanned using the Agilent GeneChip Scanner G2500A. The images were acquired using Affymetrix MicroArray Suite (MAS) 5.0 software and the probe level data converted to expression values using the Bioconductor function for the Robust Multi-Array average (RMA) procedure (Irizarry et al, 2003), in which perfect match intensities are background adjusted and quantile-quantile normalised.
2008-06-14 | E-GEOD-6365 | biostudies-arrayexpress