Whole-Transcriptome Sequencing In Chronic Myeloid Leukemia Reveals Novel Gene Mutations That May Be Associated with Disease Pathogenesis and Progression

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 885-885 ◽  
Author(s):  
Simona Soverini ◽  
Angela Poerio ◽  
Alberto Ferrarini ◽  
Ilaria Iacobucci ◽  
Marco Sazzini ◽  
...  

Abstract Abstract 885 Philadelphia-positive (Ph+) chronic myeloid leukemia (CML) has always been regarded as a genetically homogeneous disease. However, the fact that a proportion of patients (pts), especially in the high Sokal risk setting, fail tyrosine kinase inhibitor therapy and progress to blast crisis (BC) suggests that a certain degree of heterogeneity exists. It can be hypothesized that genetic factors additional to the Ph+ chromosome may be present in these pts. To address this issue, we are currently using massively parallel sequencing to perform a qualitative and quantitative survey of the whole transcriptome of Ph+ CML cells at diagnosis and at progression to BC. Results are being integrated with genome-wide search for copy number alterations by Affymetrix SNP 6.0 arrays. We used a Solexa Illumina Genome Analyzer to scan the transcriptome of a CML patient at the time of diagnosis, at the time of remission (major molecular response) and at the time of progression from chronic phase (CP) to lymphoid blast crisis (BC). Both custom scripts and published algorithms were used for read alignment against the human reference genome, for single nucleotide variant (SNV) calling, for identification of alternative splicings and fusion transcripts, and for digital gene expression profiling. Comparison of the SNVs identified in the diagnosis and relapse samples with the SNVs detected in the remission sample – representing inherited sequence variants not specific for the Ph+ clone – allowed the identification of eight missense mutations at diagnosis affecting the coding sequences of AMPD3 (encoding adenosine monophosphate deaminase 3), SUCNR1 (succinate receptor 1), FANCD2 (Fanconi anemia, complementation group D2), INCENP (inner centromere protein), BSPRY (B-box and SPRY domain containing), HEXDC (hexosaminidase containing), NUDT9 (ADP-ribose diphosphatase) and KIAA2018 (encoding a protein with predicted DNA binding and transcriptional regulation activity) genes. Six of these mutations (FANCD2, INCENP, BSPRY, HEXDC, NUDT9) were also detected in the Ph+ clone re-emerged at the time of disease progression, together with seven additional missense mutations affecting the coding sequences of IDH2 (isocitrate dehydrogenase isoform 2), DECR1 (2,4-dienoyl CoA reductase 1), C4Orf14 (mitochondrial nitric oxide synthase), MRM1 (mitochondrial rRNA methyltransferase 1), PRKD2 (protein kinase D2), TCHP (mitostatin) and ABL1 genes. Digital gene expression analysis showed downregulation of SUCNR1, that might be a consequence of the P292A mutation we detected. IDH2, MRM1, AMPD3, and KIAA2018 mutations were found in additional pts. The IDH2 R140Q mutation was detected in 3/75 (4%) myeloid BC, 1/31 (3.2%) lymphoid BC, 0/34 Ph+ ALL and 0/23 Philadelphia-negative (Ph-) ALL pts. The MRM1 C120S mutation was found in 6/70 (9%) additional BC pts (2 lymphoid and 4 myeloid). AMPD3 and KIAA2018 genes were found to harbour the same point mutations (N334S and S1818G, respectively) in 1 out of 20 additional CP patients analyzed. Massively parallel sequencing of the sample collected at diagnosis also revealed that the Bcr-Abl kinase domain was already harbouring point mutations at low levels (E308D, A344G, R386S) but not the T315I that was selected at the time of disease progression. Point mutations in untraslated regions where miRNAs are known to bind were also detected, and are currently under validation. Digital gene expression profiling comparing progression to diagnosis showed significant expression changes including upregulation of 134 genes and downregulation of 88 genes. In particular, we observed an upregulation of the B-cell developmental factor PAX5, its interactor Lef-1 and its targets IRF4, BLNK, Bik, EBF1, CD79A, CD79B, CD19, VpreB1, VpreB3, BOB1, RAG1 and RAG2; upregulation of PAX9; upregulation of WNT3A, WNT9A, GLI3 and downregulation of SFRP1, resulting in aberrant activation of the Wnt signalling pathway. In summary, our preliminary data highlighted putative key genes whose deregulation may be recurrent in a subset of CML patients and may be linked to disease pathogenesis or progression. Their actual role in CML is currently being exlored. Massively parallel sequencing of additional patients is ongoing. Supported by European LeukemiaNet, AIL, AIRC, Fondazione Del Monte di Bologna e Ravenna, FIRB 2006, PRIN 2008, Ateneo RFO grants. Disclosures: Baccarani: NOVARTIS: Honoraria; BRISTOL MYERS SQUIBB: Honoraria. Martinelli:Novartis: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Pfizer: Consultancy.

2013 ◽  
Vol 59 (1) ◽  
pp. 211-224 ◽  
Author(s):  
KC Allen Chan ◽  
Peiyong Jiang ◽  
Yama WL Zheng ◽  
Gary JW Liao ◽  
Hao Sun ◽  
...  

BACKGROUND Tumor-derived DNA can be found in the plasma of cancer patients. In this study, we explored the use of shotgun massively parallel sequencing (MPS) of plasma DNA from cancer patients to scan a cancer genome noninvasively. METHODS Four hepatocellular carcinoma patients and a patient with synchronous breast and ovarian cancers were recruited. DNA was extracted from the tumor tissues, and the preoperative and postoperative plasma samples of these patients were analyzed with shotgun MPS. RESULTS We achieved the genomewide profiling of copy number aberrations and point mutations in the plasma of the cancer patients. By detecting and quantifying the genomewide aggregated allelic loss and point mutations, we determined the fractional concentrations of tumor-derived DNA in plasma and correlated these values with tumor size and surgical treatment. We also demonstrated the potential utility of this approach for the analysis of complex oncologic scenarios by studying the patient with 2 synchronous cancers. Through the use of multiregional sequencing of tumoral tissues and shotgun sequencing of plasma DNA, we have shown that plasma DNA sequencing is a valuable approach for studying tumoral heterogeneity. CONCLUSIONS Shotgun DNA sequencing of plasma is a potentially powerful tool for cancer detection, monitoring, and research.


2007 ◽  
Vol 18 (1) ◽  
pp. 172-177 ◽  
Author(s):  
T. T. Torres ◽  
M. Metta ◽  
B. Ottenwalder ◽  
C. Schlotterer

PLoS ONE ◽  
2012 ◽  
Vol 7 (9) ◽  
pp. e46440 ◽  
Author(s):  
Haleh Davanian ◽  
Henrik Stranneheim ◽  
Tove Båge ◽  
Maria Lagervall ◽  
Leif Jansson ◽  
...  

2010 ◽  
Vol 207 (12) ◽  
pp. 2537-2541 ◽  
Author(s):  
Marc A. Kerenyi ◽  
Stuart H. Orkin

A relatively small cadre of lineage-restricted transcription factors largely orchestrates erythropoiesis, but how these nuclear factors interact to regulate this complex biology is still largely unknown. However, recent technological advances, such as chromatin immunoprecipitation (ChIP) paired with massively parallel sequencing (ChIP-seq), gene expression profiling, and comprehensive bioinformatic analyses, offer new insights into the intricacies of red cell molecular circuits.


2012 ◽  
Vol 58 (9) ◽  
pp. 1322-1331 ◽  
Author(s):  
Wei Zhang ◽  
Hong Cui ◽  
Lee-Jun C Wong

Abstract BACKGROUND Mitochondrial diseases are clinically and genetically heterogeneous, with variable penetrance, expressivity, and differing age of onset. Disease-causing point mutations and large deletions in the mitochondrial genome often exist in a heteroplasmic state. Current molecular analyses require multiple different and complementary methods for the detection and quantification of mitochondrial DNA (mtDNA) mutations. We developed a novel approach to analyze the mtDNA in 1 step. METHODS The entire human mitochondrial genome was enriched by a single amplicon long-range PCR followed by massively parallel sequencing to simultaneously detect mtDNA point mutations and large deletions with heteroplasmic levels of the mutations and variants quantified. QC samples were designed and analyzed along with each sample. A total of 45 samples were analyzed for the evaluation of analytic sensitivity and specificity. RESULTS Our analysis demonstrated 100% diagnostic sensitivity and specificity of base calls compared to the results from Sanger sequencing. The deep coverage allowed the detection and quantification of heteroplasmy at every single nucleotide position of the 16 569-bp mitochondrial genome. Moreover, the method also detected large deletions with the breakpoints mapped. CONCLUSIONS This “deep” sequencing approach provides a 1-step comprehensive molecular analysis of the whole mitochondrial genome for patients in whom a mitochondrial disease is suspected.


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