scholarly journals A molecular portrait of gastrointestinal stromal tumors: an integrative analysis of gene expression profiling and high-resolution genomic copy number

2010 ◽  
Vol 90 (9) ◽  
pp. 1285-1294 ◽  
Author(s):  
Annalisa Astolfi ◽  
Margherita Nannini ◽  
Maria Abbondanza Pantaleo ◽  
Monica Di Battista ◽  
Michael C Heinrich ◽  
...  
Epigenomics ◽  
2016 ◽  
Vol 8 (10) ◽  
pp. 1347-1366 ◽  
Author(s):  
Maria Abbondanza Pantaleo ◽  
Gloria Ravegnini ◽  
Annalisa Astolfi ◽  
Vittorio Simeon ◽  
Margherita Nannini ◽  
...  

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2426-2426
Author(s):  
Jennifer R Brown ◽  
Megan Hanna ◽  
Bethany Tesar ◽  
Lillian Werner ◽  
Hazel Reynolds ◽  
...  

Abstract Abstract 2426 Chronic lymphocytic leukemia is the most common leukemia of adults but still incurable. Prognosis at diagnosis is widely variable, and the key cytogenetic abnormalities determined by FISH remain one of the best predictors of prognosis and treatment response. We therefore undertook very high resolution genomic analysis of 161 CLLs with matched germline samples using Affymetrix 6.0 SNP arrays, in an effort to identify additional predictors of prognosis, and have also performed gene expression profiling on most of this patient cohort. The median age at diagnosis for the cohort was 55 (31–79), and the median time to sampling was 4.6 months (0.5–291). 22% of the cohort was previously treated, with an additional 21% of patients receiving treatment during the follow-up period, for a total of 43% treated, with a median time from diagnosis to treatment of 41 months (0.4-161.2 months). The genomic data were analyzed both by GISTIC, which identifies significant deletions and amplifications based on analysis of the frequency and amplitude of each aberration in the tumor samples alone, as well as by paired copy number analysis of each tumor and its cognate germline, using Birdseed, PLINK and PennCNV. Our results show that the CLL genome is overall quite stable, with a median of only one acquired copy number aberration per sample, excluding rearrangements at the immunoglobulin gene loci. GISTIC analysis on the entire population identified the known common CLL abnormalities at frequencies that would be expected in a largely untreated cohort: 57% del 13q, 6.2% deletion 11q, 5.0% deletion 17p, and 12% trisomy 12. The presence of two or more acquired copy number aberrations (CNAs) of any type was associated with a significantly shorter time to first therapy (p<0.0001). A higher number of CNAs was strongly associated with deletions of 11q or 17p, but the predictive power of a higher number of CNAs was still present in those CLLs without deletions 11q or 17p. Detailed analysis of 13q deletion revealed no association of longer deletions or homozygous deletions with time to first therapy. However, any additional somatic copy number aberration in addition to 13q deletion significantly reduced the time to first therapy, making it comparable to non-13q patients. In order to identify genetic markers of progression, we compared treated to untreated patients using GISTIC. This analysis revealed that untreated patients showed peaks largely limited to deletion 13q and trisomy 12. Treated patients however showed three additional significant peaks: a deletion peak at 8p, as well as significant amplification peaks at 3q26.32 and 8q24.21. The deletion peak at 8p was observed in 8 of 161 samples tested (5.0%), and was large, with a common region of deletion spanning 11.0–29.6 Mb. Six of eight of these patients were untreated at the time of sampling but had a very short time to treatment thereafter, independent of whether they had coexistent deletions of 17p or 11q, suggesting that this deletion carries a very poor prognosis in itself. Another notable region of amplification was found on 3q26.32 in nine patients (9/161 or 5.6%). Although many of these amplified regions were large, three of the nine patients carrying this amplification demonstrated focal somatic amplification of the final exon of PIK3CA, the alpha catalytic subunit of PI3K. Finally the amplification on 8q24 was present in 6 of 161 CLLs (3.7%), two of which were focal and amplified only the gene desert region previously implicated in CLL risk by genome-wide association study and located approximately 335 kb centromeric to MYC. Analysis of gene expression profiling comparing patients with and without amplifications demonstrated upregulation of MYC mRNA expression and alteration of downstream targets of MYC in samples with amplification. We conclude that very high resolution copy number analysis with matched germline comparison in CLL reveals a quite stable genome in untreated patients, and identifies amplifications of 3q26 and MYC at 8q24 as progression events. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 3497-3497
Author(s):  
Marc J. Braunstein ◽  
Daniel R. Carrasco ◽  
David Kahn ◽  
Kumar Sukhdeo ◽  
Alexei Protopopov ◽  
...  

Abstract In multiple myeloma (MM), bone marrow-derived endothelial progenitor cells (EPCs) contribute to tumor neoangiogenesis and their levels covary with tumor mass and prognosis. Recent X-chromosome inactivation studies in female patients showed that, similar to tumor cells, EPCs are clonally restricted in MM. Genomic profiling of MM using high-resolution array comparative genomic hybridization (aCGH) has been previously utilized to mine the genome and find clinical correlates in MM patients. In this study, clonotypic aspects of bone marrow-derived EPCs and MM cells were investigated using aCGH and expression profiling analysis. Confluent EPCs were outgrown from bone marrow aspirates by adherence to laminin. EPCs were >98% vWF/CD133/KDR+ and <1% CD38+. The laminin-nonadherent bone marrow fraction enriched for tumor cells was >50% CD38+. For aCGH and for gene expression profiling, genomic DNA and total RNA from EPCs and MM cells were hybridized to human oligonucleotide arrays (Agilent Technologies) and human cDNA microarrays (Affymetrix), respectively. High resolution aCGH with segmentation analysis showed that EPCs and MM cells in one of ten cases share identical patterns of chromosomal gains and losses, while another 5 cases shared multiple focal copy number alterations (CNAs) including gains and losses. The genomes of EPCs and MM cells additionally displayed exclusive CNAs, but these were far fewer in EPCs than in MM cells. In 3 patients, EPCs harbored a common 0.6Mb deletion at 1q21 not shared by MM cells. Pertinent genes in this region that could affect proliferation and tumor suppression include N2N, NBPF10, and TXNIP. Validation studies of aCGH findings by other methods are ongoing. Gene expression profiling showed decreased expression of 1q21 region genes (e.g., calgranulin C and lamin A/C). A genome-wide comparison of patients’ MM cells and EPCs, which is focused on their shared genetic characteristics, will be presented.


2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 574-574
Author(s):  
M. Y. Iddawela ◽  
Y. Wang ◽  
R. Russell ◽  
G. Cowley ◽  
M. El-Sheemy ◽  
...  

574 Background: FFPE is a valuable and widely available resource for translational research which to date has been under-used due to technical limitations. Improvement in technology has enabled genome-wide analysis of FFPE samples. We have assessed gene expression and copy number changes in the same cohort of breast cancers to identify markers or pathways important in prediction of treatment response. Methods: FFPE tissues from patients treated with neoadjuvant adriamycin/cyclophosphamide followed by taxanes in a clinical study were used. Gene expression profiling was assessed using the cDNA mediated annealing selection and ligation assay using the cancer panel which assess 502 genes (DASL assay, Illumina). Data was analysed using BeadStudio software. Copy number changes were assessed using the Molecular inversion probe assay with the 50K SNP panel (Affymetrix, California) and analysed using Nexus software (Biodiscovery). Results: Gene expression profiling was carried out on 44 samples. 12/44 (27%) patients had a pathological complete response (pCR) following chemotherapy. Significant differential expression of genes between pCR and non-pCR cancers were shown. TNFRSF5, CTSD, BCL3, ARNT, BIRC3, TGFBR1, MLLT6, and EVI2A were over-expressed and COL18A1, FGF12, IGFBP1 and NOTCH4 which were down-regulated in cancers that have a pCR (p ≤ 0.01). Copy number changes were assessed in 33 samples and comparison of copy number changes in pCR vs. non-pCR showed gains in regions 6q22, 21q21, 4p14, 4q21, 4p14, and loss at 11q11 (p ≤ 0.01). Three regions containing microRNA coding sequences, mir130a (11q11) mir142 (17q23) and mir21 (17q23) showed significant loss among pCR tumours (p < 0.05). Conclusions: This feasibility study shows that FFPE can be used for gene expression and copy number analysis which is a useful tool for the discovery of predictive markers for treatment response in neoadjuvant treatment trials. The role of TNFRSF5, microRNA 21/130a/142, and 11q11 loss should be further investigated as predictive markers of response to chemotherapy. [Table: see text]


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