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CaArray_golub-00095: Diffuse large B-cell lymphoma outcome prediction

ABSTRACT: Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is curable in less than 50% of patients. Prognostic models based on pre-treatment characteristics, such as the International Prognostic Index (IPI), are currently used to predict outcome in DLBCL. However, clinical outcome models identify neither the molecular basis of clinical heterogeneity, nor specific therapeutic targets. We analyzed the expression of 6,817 genes in diagnostic tumor specimens from DLBCL patients who received cyclophosphamide, adriamycin, vincristine and prednisone (CHOP)-based chemotherapy, and applied a supervised learning prediction method to identify cured versus fatal or refractory disease. The algorithm classified two categories of patients with very different five-year overall survival rates (70% versus 12%). The model also effectively delineated patients within specific IPI risk categories who were likely to be cured or to die of their disease. Genes implicated in DLBCL outcome included some that regulate responses to B-cell-receptor signaling, critical serine/threonine phosphorylation pathways and apoptosis. Our data indicate that supervised learning classification techniques can predict outcome in DLBCL and identify rational targets for intervention.

ORGANISM(S): Homo sapiens

PROVIDER: GSE68895 | GEO | 2015/05/15

SECONDARY ACCESSION(S): PRJNA283985

REPOSITORIES: GEO

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caArray_golub-00095: Diffuse large B-cell lymphoma outcome prediction

Project description:Diffuse large B-cell lymphoma (DLBCL), the most common lymphoid malignancy in adults, is curable in less than 50% of patients. Prognostic models based on pre-treatment characteristics, such as the International Prognostic Index (IPI), are currently used to predict outcome in DLBCL. However, clinical outcome models identify neither the molecular basis of clinical heterogeneity, nor specific therapeutic targets. We analyzed the expression of 6,817 genes in diagnostic tumor specimens from DLBCL patients who received cyclophosphamide, adriamycin, vincristine and prednisone (CHOP)-based chemotherapy, and applied a supervised learning prediction method to identify cured versus fatal or refractory disease. The algorithm classified two categories of patients with very different five-year overall survival rates (70% versus 12%). The model also effectively delineated patients within specific IPI risk categories who were likely to be cured or to die of their disease. Genes implicated in DLBCL outcome included some that regulate responses to B-cell-receptor signaling, critical serine/threonine phosphorylation pathways and apoptosis. Our data indicate that supervised learning classification techniques can predict outcome in DLBCL and identify rational targets for intervention. golub-00095 Assay Type: Gene Expression Provider: Affymetrix Array Designs: Hu6800 Organism: Homo sapiens (ncbitax) Tissue Sites: Lymphoid tissue Material Types: synthetic_DNA, synthetic_RNA, organism_part Cell Types: B-Lymphocyte Disease States: Diffuse large B-cell Lymphoma, Follicular Lymphoma

2015-05-15 | E-GEOD-68895 | biostudies-arrayexpress

Gene expression profiles uncover molecular classifiers for the prediction of progression-free survival in diffuse large B-cell lymphoma: results of a DASL assay from formalin fixed paraffin embedded tissue

2012-05-25 | GSE38202 | GEO

Project description:Diffuse large B-cell lymphoma (DLBCL) exhibits heterogeneous clinical outcomes even in tumors of the same stage and with similar pathological characteristics. A substantial number of patients with DLBCL still fail to be cured despite recent improvements in therapy. In this study, we used formalin fixed paraffin embedded (FFPE) tumor samples for microarray gene expression profiling to develop robust prognostic profiles for DLBCL. We performed a retrospective microarray gene expression profiling study of FFPE from a cohort of DLBCL patients using the whole genome cDNA mediated Annealing, Selection and Ligation (WG-DASL) assay. After removing poor-quality samples, data from 164 patients were used for statistical analyses to develop and validate a prognostic gene expression signature using a gradient lasso and leave-one-out cross-validation process.

2012-05-24 | E-GEOD-38202 | biostudies-arrayexpress

Transcription profiling of untreated and cisplatin-based chemoradiation treated human squamous cell carcinomas to improve prediction of outcome after chemoradiation

Project description:Gene expression profiling to predict outcome after chemoradiation in head and neck cancer Purpose. The goal of the present study was to improve prediction of outcome after chemoradiation in advanced head and neck cancer using gene expression analysis. Materials and Methods. We collected 92 biopsies from untreated head and neck cancer patients subsequently given cisplatin-based chemoradiation (RADPLAT) for advanced squamous cell carcinomas (HNSCC). After RNA extraction and labeling we performed dye swap experiments using 35k oligo-microarrays. Supervised analyses were performed to create classifiers to predict local control, locoregional control and disease recurrence. Published gene sets with prognostic value in other studies were also tested. Results. Using supervised classification on the whole series, gene sets separating good and poor outcome could be found for all end-points. However, when splitting tumors into training and validation groups, no robust classifiers could be found. Also previously published signatures with prognostic value have been tested. Conclusion. Gene sets can be found with predictive potential for locoregional control after combined radiation and chemotherapy in HNSCC. How treatment-specific these gene sets are needs further study.

2008-02-19 | E-NCMF-8 | biostudies-arrayexpress

Genome-wide single nucleotide polymorphism analysis identifies DNA variations predictive of R-CHOP efficacy in diffuse large B-cell lymphoma

Project description:R-CHOP standard chemotherapy is successful in about 60% of patients with diffuse large B-cell lymphoma (DLBCL). Patients who do not benefit from it, due to tumor drug resistance, have a poor prognosis. To date, the available predictive biomarkers mainly relate to prognosis. We conducted the first prospective GWAS clinical study appositely designed to identify constitutional biomarkers predictive of R-CHOP efficacy and toxicity. Overall, 217 any stage chemonaive DLBCL patients candidate to R-CHOP were enrolled. ~800000 SNPs were analysed by the UK Biobank Axiom Array. Median age of eligible pts was 59.2 years, women were 49.7%. 45.4% of pts were in stage I-II. According to the revised IPI (R-IPI), 14.1%, 56.8% and 29.2% were in the very good (0), good (1-2) and poor (3-5) prognosis groups, respectively. 85.9% of pts obtained CR to R-CHOP. Based on the results obtained, we were able to build a seven-SNP score by summing the number of deleterious alleles from the SNPs for which highly significant associations with PFS were achieved. Wild-type patients showed a prolonged PFS compared with patients carrying 1 deleterious allele or 2+ deleterious alleles (p<0.001). When the score was applied to patients stratified according to R-IPI, wild-type patients classified as R-IPI 1-2 and R-IPI 3-5 showed a prolonged PFS compared with patients with the same respective R-IPI score carrying 1 deleterious allele or 2+ deleterious alleles (p<0.001). After a proper validation in an independent cohort of patients, the seven-SNP risk score could be proposed to select patients to whom offer a more aggressive treatment as well as an additional factor to those currently included in the R-IPI that could successfully contribute to predict response to R-CHOP.

2023-05-31 | GSE186441 | GEO

Prognostic implications of 5-hydroxymethylcytosines from circulating cell-free DNA in diffuse large B-cell lymphoma

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

Transcription profiling of closely related citrus varieties

Project description:An experiment was performed to predict citrus varieties by means of supervised learning algorithms applied to gene expression profiles

2007-07-23 | E-TABM-76 | biostudies-arrayexpress

Screen a novel biomarker in DLBCL by using microarray analysis

Project description:Diffuse large B-cell lymphoma (DLBCL) represents the most common subtype of malignant lymphoma and is heterogeneous with respect to morphology, biology, and clinical presentation.However, a robust prognostic factor based on cell biology of DLBCL has not yet been determined.To find the biomarker which may associate with clinical outcome in patients with DLBCL, microarray analysis was performed to screen a novel biomarker.

2021-03-26 | GSE128852 | GEO

A multiomics approach in refractory DLBCL

Project description:Diffuse large B-cell lymphoma (DLBCL) is the most frequent entity among non-Hodgkin lymphoma (NHL). It is a clinically and biologically heterogeneous disease regarding treatment response and long-term outcome. The anthracycline-based regimen R-CHOP is still considered as the standard of care for first-line treatment allowing achieving a complete response for approximately 60% of the patients. The prognosis of patients with primary refractory or relapsed (R/R) disease is particularly poor with a median overall survival below one year. Only a fraction of R/R patients can be cured with salvage therapies due to the acquisition of chemoresistance. We conducted a large-scale and deep proteomic investigation of the proteome profiles of R/R DLBCL patients compared to chemosensitive patients in order to identify new potential biomarkers related to resistance to treatment and to better understand the biological mechanisms underlying chemoresistance.

2019-03-04 | PXD009089 | Pride

Gene expression profiling of diffuse large B-cell lymphomas supervised by CD5 expression

Project description:CD5-positive (CD5+) diffuse large B-cell lymphoma (DLBCL) has a poor prognosis and high incidence of central nervous system (CNS) relapse, even in the rituximab era. To determine the gene expression profile of CD5+ DLBCL, total RNA from 90 patients with DLBCL, including 33 CD5+ DLBCL and 57 CD5-negative (CD5-) DLBCL patients, was examined using Agilent human oligo microarrays. These cases were separated into 78 activated B-cell-like (ABC) DLBCLs and 12 germinal center B-cell-like (GCB) DLBCLs. All cases of CD5+ DLBCL were classified as ABC DLBCLs. The classifier based on gene expression used in a supervised analysis correctly identified CD5 expression in the DLBCL and ABC DLBCL samples. The gene most relevant to CD5 expression was SH3BP5. The enriched GO categories in the CD5+ ABC DLBCL signature gene set were multicellular organismal signaling, transmission of nerve impulse, and synaptic transmission. This present study, which includes the largest reported number of patients with CD5+ DLBCL, confirmed that most CD5+ DLBCLs are ABC DLBCLs, suggesting that therapeutic strategies for ABC DLBCL may be effective for the treatment of CD5+ DLBCL. Our CD5+ ABC DLBCL signature gene set may provide insights into the cause of the high frequency of CNS relapse in CD5+ DLBCL.

2015-05-19 | GSE66770 | GEO

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