Project description:Follicular lymphoma is the most common indolent non-Hodgkin's lymphoma involving germinal centre B cells, with a subset of patients undergoing transformation to a diffuse large B-cell lymphoma (DLBCL) morphology for which the clinical outcomes are poor. To elucidate the differences in copy number profiles between FL and tFL groups, we performed Affymetrix SNP 6.0 Array analysis on 31 paired FL-tFL cases. We wanted to identify and compare recurrent somatic copy number alterations (CNAs) between the two groups (FL vs. tFL). In addition, the concordance and discordance in the copy neutral loss of heterozygosity (cnLOH) between the two groups were also investigated to identify recurrent target gene regions.
Project description:The aim of this work was to identify the copy number aberrations (CNAs) by high-resolution array comparative genomic hybridization (aCGH) on 7 dogs with newly diagnosed FL and 5 dogs with newly diagnosed MZL.
Project description:Follicular lymphoma is the most common indolent non-Hodgkin's lymphoma involving germinal centre B cells, with a subset of patients undergoing transformation to a diffuse large B-cell lymphoma (DLBCL) morphology for which the clinical outcomes are poor. To elucidate the differences in copy number profiles between FL and tFL groups, we performed Affymetrix SNP 6.0 Array analysis on 31 paired FL-tFL cases. We wanted to identify and compare recurrent somatic copy number alterations (CNAs) between the two groups (FL vs. tFL). In addition, the concordance and discordance in the copy neutral loss of heterozygosity (cnLOH) between the two groups were also investigated to identify recurrent target gene regions. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from follicular lymphoma (FL), transformed follicular lymphoma (tFL) and matching germline (GL) sample (if available). Copy number analysis of Affymetrix SNP 6.0 Array were performed on 91 DNA samples, consisting of 31 patients. Among the 31 patients, 19 had matching germline samples, while 12 had no germline samples. The Log R Ratio (LRR) values and the B Allele Frequency (BAF) values were subsequently calculated to search for copy number aberrations and copy neutral (CN)-LOH in the FL and tFL samples. Paired and unpaired analyses were performed accordingly.
Project description:We used microarrays to detail gene expression profile of several follicular lymphoma patient samples with different grades We analyzed 72 FL samples
Project description:Follicular lymphoma (FL) constitutes the second most common non-Hodgkin lymphoma in the Western world. FL carries characteristic recurrent structural genomic aberrations. However, information regarding the coding genome in FL is still evolving. Here, we describe the results of massively parallel exome sequencing and high-resolution SNP 6.0 array profiling of 12 highly purified FL cases and validation of mutations in an expansion cohort of 45 cases. In addition to confirming high-frequency mutations in MLL2, CREBBP and BCL2, we report identification of 18 recurrently mutated genes in FL. These include novel mutations in MCL1, IRF8 and POU2FA/OCT2, and high-frequency mutations in various components of the linker histone HIST1H1. Further, multiple novel mutated genes located within regions of acquired uniparental disomy (aUPD) are identified, providing candidate genes for this common lesion type in FL. In aggregate, these data substantially broaden our understanding of the types and frequency of recurrently mutated genes and pathways in FL
Project description:The secondary genetic events associated with follicular lymphoma (FL) progression are not well defined. We applied genome-wide BAC array comparative genomic hybridization to 106 diagnostic biopsies of FL to characterize regional genomic imbalances. Using an analytical approach that defined regions of copy number change as intersections between visual annotations and a Hidden Markov model-based algorithm, we identified 71 regional alterations that were recurrent in ≥10% of cases. These ranged in size from ~200 kb to 44 Mb, affecting chromosomes 1, 5, 6, 7, 8, 10, 12, 17, 18, 19, and 22. We also demonstrated by cluster analysis that 46.2% of the 106 cases could be sub-grouped based on the presence of +1q, +6p/6q-, +7 or +18. Survival analysis showed that 21 of the 71 regions correlated significantly with inferior overall survival (OS). Of these 21 regions, 16 were independent predictors of OS using a multivariate Cox model that included the International Prognostic Index (IPI) Score. Two of these 16 regions (1p36.22-p36.33 and 6q21-q24.3) were also predictors of transformation risk and independent of IPI. These prognostic features may be useful to identify high-risk patients as candidates for risk-adapted therapies.
Project description:Follicular lymphoma (FL) constitutes the second most common non-Hodgkin lymphoma in the Western world. FL carries characteristic recurrent structural genomic aberrations. However, information regarding the coding genome in FL is still evolving. Here, we describe the results of massively parallel exome sequencing and high-resolution SNP 6.0 array profiling of 12 highly purified FL cases and validation of mutations in an expansion cohort of 45 cases. In addition to confirming high-frequency mutations in MLL2, CREBBP and BCL2, we report identification of 18 recurrently mutated genes in FL. These include novel mutations in MCL1, IRF8 and POU2FA/OCT2, and high-frequency mutations in various components of the linker histone HIST1H1. Further, multiple novel mutated genes located within regions of acquired uniparental disomy (aUPD) are identified, providing candidate genes for this common lesion type in FL. In aggregate, these data substantially broaden our understanding of the types and frequency of recurrently mutated genes and pathways in FL Twelve paired normal and tumor follicular lymphoma cases were profiled by SNP array for this study. However, in addition the data from 125 CEL files derived from the DNA of flow-sorted CD3+ cells from 125 CLL patients (122 CEL files from GSE30777) were used to firmly establish a normal copy number baseline for the dChip software to compute all subsequent normal and tumor DNA copy number values.
Project description:The secondary genetic events associated with follicular lymphoma (FL) progression are not well defined. We applied genome-wide BAC array comparative genomic hybridization to 106 diagnostic biopsies of FL to characterize regional genomic imbalances. Using an analytical approach that defined regions of copy number change as intersections between visual annotations and a Hidden Markov model-based algorithm, we identified 71 regional alterations that were recurrent in â?¥10% of cases. These ranged in size from ~200 kb to 44 Mb, affecting chromosomes 1, 5, 6, 7, 8, 10, 12, 17, 18, 19, and 22. We also demonstrated by cluster analysis that 46.2% of the 106 cases could be sub-grouped based on the presence of +1q, +6p/6q-, +7 or +18. Survival analysis showed that 21 of the 71 regions correlated significantly with inferior overall survival (OS). Of these 21 regions, 16 were independent predictors of OS using a multivariate Cox model that included the International Prognostic Index (IPI) Score. Two of these 16 regions (1p36.22-p36.33 and 6q21-q24.3) were also predictors of transformation risk and independent of IPI. These prognostic features may be useful to identify high-risk patients as candidates for risk-adapted therapies. Array comparative genomic hybridization analysis of 106 follicular lymphoma diagnostic biopsies