Monitoring chronic lymphocytic leukemia progression by whole genome sequencing reveals heterogeneous clonal evolution patterns

Blood ◽  
2012 ◽  
Vol 120 (20) ◽  
pp. 4191-4196 ◽  
Author(s):  
Anna Schuh ◽  
Jennifer Becq ◽  
Sean Humphray ◽  
Adrian Alexa ◽  
Adam Burns ◽  
...  

Abstract Chronic lymphocytic leukemia is characterized by relapse after treatment and chemotherapy resistance. Similarly, in other malignancies leukemia cells accumulate mutations during growth, forming heterogeneous cell populations that are subject to Darwinian selection and may respond differentially to treatment. There is therefore a clinical need to monitor changes in the subclonal composition of cancers during disease progression. Here, we use whole-genome sequencing to track subclonal heterogeneity in 3 chronic lymphocytic leukemia patients subjected to repeated cycles of therapy. We reveal different somatic mutation profiles in each patient and use these to establish probable hierarchical patterns of subclonal evolution, to identify subclones that decline or expand over time, and to detect founder mutations. We show that clonal evolution patterns are heterogeneous in individual patients. We conclude that genome sequencing is a powerful and sensitive approach to monitor disease progression repeatedly at the molecular level. If applied to future clinical trials, this approach might eventually influence treatment strategies as a tool to individualize and direct cancer treatment.

2020 ◽  
Vol 21 (13) ◽  
pp. 957-962
Author(s):  
Charbel Hobeika ◽  
Gaelle Rached ◽  
Alain Chebly ◽  
Eliane Chouery ◽  
Hampig Raphael Kourie

Many biomarkers indicate prognosis in chronic lymphocytic leukemia; such as fluorescence in situ hybridization testing: 17p or 11q deletions have a worse prognosis than trisomy 12, 13q deletion or normal result, or the mutational status of the immunoglobulin heavy chain (IGHV): unmutated IGHV have a worse prognosis than mutated IGHV. Recently, many gene mutations ( TP53, NOTCH1 etc.,) have been linked to a worse prognosis. With the new era of high-throughput sequencing, it has become easier to study gene mutations and their implication in predicting prognosis. In this review, we aim to review all the studies that performed whole-exome sequencing or whole-genome sequencing on chronic lymphocytic leukemia cells and explore the implication of various genes in disease prognosis.


2015 ◽  
Vol 112 (4) ◽  
pp. 1107-1112 ◽  
Author(s):  
Kexin Chen ◽  
Da Yang ◽  
Xiangchun Li ◽  
Baocun Sun ◽  
Fengju Song ◽  
...  

Gastric cancer (GC) is a highly heterogeneous disease. To identify potential clinically actionable therapeutic targets that may inform individualized treatment strategies, we performed whole-exome sequencing on 78 GCs of differing histologies and anatomic locations, as well as whole-genome sequencing on two GC cases, each with three primary tumors and two matching lymph node metastases. The data showed two distinct GC subtypes with either high-clonality (HiC) or low-clonality (LoC). The HiC subtype of intratumoral heterogeneity was associated with older age, TP53 (tumor protein P53) mutation, enriched C > G transition, and significantly shorter survival, whereas the LoC subtype was associated with younger age, ARID1A (AT rich interactive domain 1A) mutation, and significantly longer survival. Phylogenetic tree analysis of whole-genome sequencing data from multiple samples of two patients supported the clonal evolution of GC metastasis and revealed the accumulation of genetic defects that necessitate combination therapeutics. The most recurrently mutated genes, which were validated in a separate cohort of 216 cases by targeted sequencing, were members of the homologous recombination DNA repair, Wnt, and PI3K-ERBB pathways. Notably, the drugable NRG1 (neuregulin-1) and ERBB4 (V-Erb-B2 avian erythroblastic leukemia viral oncogene homolog 4) ligand-receptor pair were mutated in 10% of GC cases. Mutations of the BRCA2 (breast cancer 2, early onset) gene, found in 8% of our cohort and validated in The Cancer Genome Atlas GC cohort, were associated with significantly longer survivals. These data define distinct clinicogenetic forms of GC in the Chinese population that are characterized by specific mutation sets that can be investigated for efficacy of single and combination therapies.


2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii408-iii408
Author(s):  
Marina Danilenko ◽  
Masood Zaka ◽  
Claire Keeling ◽  
Stephen Crosier ◽  
Rafiqul Hussain ◽  
...  

Abstract Medulloblastomas harbor clinically-significant intra-tumoral heterogeneity for key biomarkers (e.g. MYC/MYCN, β-catenin). Recent studies have characterized transcriptional heterogeneity at the single-cell level, however the underlying genomic copy number and mutational architecture remains to be resolved. We therefore sought to establish the intra-tumoural genomic heterogeneity of medulloblastoma at single-cell resolution. Copy number patterns were dissected by whole-genome sequencing in 1024 single cells isolated from multiple distinct tumour regions within 16 snap-frozen medulloblastomas, representing the major molecular subgroups (WNT, SHH, Group3, Group4) and genotypes (i.e. MYC amplification, TP53 mutation). Common copy number driver and subclonal events were identified, providing clear evidence of copy number evolution in medulloblastoma development. Moreover, subclonal whole-arm and focal copy number alterations covering important genomic loci (e.g. on chr10 of SHH patients) were detected in single tumour cells, yet undetectable at the bulk-tumor level. Spatial copy number heterogeneity was also common, with differences between clonal and subclonal events detected in distinct regions of individual tumours. Mutational analysis of the cells allowed dissection of spatial and clonal heterogeneity patterns for key medulloblastoma mutations (e.g. CTNNB1, TP53, SMARCA4, PTCH1) within our cohort. Integrated copy number and mutational analysis is underway to establish their inter-relationships and relative contributions to clonal evolution during tumourigenesis. In summary, single-cell analysis has enabled the resolution of common mutational and copy number drivers, alongside sub-clonal events and distinct patterns of clonal and spatial evolution, in medulloblastoma development. We anticipate these findings will provide a critical foundation for future improved biomarker selection, and the development of targeted therapies.


Haematologica ◽  
2018 ◽  
Vol 104 (1) ◽  
pp. e38-e41 ◽  
Author(s):  
Richárd Kiss ◽  
Donát Alpár ◽  
Ambrus Gángó ◽  
Noémi Nagy ◽  
Ediz Eyupoglu ◽  
...  

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 296-296
Author(s):  
Brian A Walker ◽  
Christopher P Wardell ◽  
Lucía López-Corral ◽  
Sean Humphray ◽  
Lisa Murray ◽  
...  

Abstract Abstract 296 A well defined model of disease progression has been established in myeloma based on the transition of normal plasma cells to monoclonal gammopathy of undetermined significance (MGUS), smouldering myeloma (SMM), myeloma (MM) and finally to plasma cell leukaemia. The most likely mechanism underlying the initiation and progression of myeloma is that the primary genetic events, such as IGH translocations or hyperdiploidy confer a proliferative/survival advantage but not a truly malignant phenotype. Subsequently, these cells acquire secondary genetic aberrations that are associated with uncontrolled proliferation and invasion which manifest as bone lesions and myelosuppression. We have addressed the hypothesis that we can gain critical understandings of the mechanisms leading to disease progression, by defining the different genetic events present in the early pre-clinical stages of the disease (SMM) compared to those present in the clinical stages of the disease (MM). One of the essential components of disease progression is the acquisition of novel genetic hits and clonal selection based on the selection and expansion of the subclone most able to survive. We hypothesise that within the malignant plasma cells there is substantial clonal heterogeneity and that at different stages of the disease the extent of this is variable, with progression occurring in an oligoclonal fashion by acquisition of multiple genetic hits rather than as a result of the linear acquisition of sequential genetic hits. In this study we utilized massively parallel sequencing to study paired plasma cells from 2 patients who had progressed from SMM to MM and compared them to the patients non-involved DNA. Patients had been diagnosed with SMM, and had a bone marrow aspirate taken, at least 18 months prior to being diagnosed with MM. Both samples were taken before the patient underwent any treatment. The 2 patients were analyzed at the two time points and compared to the germline DNA obtain from the peripheral blood sample, using whole genome sequencing to identify acquired single nucleotide variants (SNVs), indels and translocations in the SMM and MM samples. Additionally, changes acquired at the transition from SMM to MM were examined along with frequency of abnormal reads at these sites. 100 ng genomic DNA from CD138 MACsorted cells and normal white cells was sequenced using 75 bp paired-end reads on a GAIIx (Illumina) to a median depth of 32x and 98% at 1x and 84% at 20x coverage. Data were aligned to the human genome (hg19) using ELAND v2e and acquired SNVs and indels called using CASAVA 1.8. In both samples the majority of SNVs were found in intergenic (range 64–71%) or intronic (25–31%) regions. The number of acquired SNVs within exons (including UTRs) accounted for only 0.5–1.1% of all variants. There was no statistical difference in the genomic distribution of SNVs between SMM and MM samples. Analysis of the SMM and MM samples shows that SNVs in the MM sample, which are acquired in the tumour, are all present in the SMM sample albeit at lower levels, indicating that the dominant MM clone was always present before transformation from SMM. Additionally, there are SNVs present in the SMM sample which are not found in the MM sample from the same individual. For example, variant calls can be detected at an incidence of 11–15% in the SMM sample and are undetected in the MM sample, at this sequencing depth. Acquired indels were found almost exclusively (>99%) within intergenic and intronic regions in both SMM and MM samples. As with the SNVs, all indels found in the MM samples were also found in the SMM sample from the same patient, but not all indels found in the SMM sample were found in the MM sample. The results presented indicate that during the progression from SMM to MM there is an oligoclonal selection process which results in the emergence of a dominant clone, and other sub-clones containing non-advantageous passenger mutations are not selected. Any of these SMM clones can clearly and rapidly transform to MM with full malignant potential. Therefore, targeted therapeutic approaches aimed at mutations in the MM dominant clone may not be curative, but may allow the propagation of minor clones without these mutations. It is therefore imperative to determine which mutations are present in pre-malignant clones to establish a clinical course of action in treatment. Disclosures: Humphray: Illumina: Employment. Murray:Illumina: Employment. Ross:Illumina: Employment. Bentley:Illumina: Employment.


2017 ◽  
Author(s):  
Arnold Bainomugisa ◽  
Evelyn Lavu ◽  
Stenard Hiashiri ◽  
Suman Majumdar ◽  
Alice Honjepari ◽  
...  

AbstractAn outbreak of multi-drug resistant tuberculosis has been reported on Daru Island, Papua New Guinea. TheMycobacterium tuberculosisstrains driving this outbreak and the temporal accrual of drug resistance mutations have not been described. We analyzed 100 isolates using whole genome sequencing and found 95 belonged to a single modern Beijing strain cluster. Molecular dating suggested acquisition of streptomycin and isoniazid resistance in the 1960s, with virulence potentially enhanced by amycP1mutation. The outbreak cluster demonstrated a high degree of co-resistance between isoniazid and ethionamide (80/95; 84.2%) attributed to aninhApromoter mutation combined withinhAandndhcoding mutations. Multidrug resistance (MDR), observed in 78/95 samples, emerged with the acquisition of a typicalrpoBmutation together with a compensatoryrpoCmutation in the 1980s. There was independent acquisition of fluoroquinolone and aminoglycoside resistance; with evidence of local transmission of extensively-drug resistant (XDR) strains from 2009. These findings underscore the importance of whole-genome sequencing in informing an effective public health response to MDR/XDRM. tuberculosis.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2810-2810
Author(s):  
Jan Egan ◽  
Jonathan J Keats ◽  
P. Leif Bergsagel ◽  
Rodger E. Tiedemann ◽  
John Carpten ◽  
...  

Abstract Abstract 2810 Poster Board II-786 We wished to explore the genetic events associated with disease progression and development of drug resistance in multiple myeloma (MM). To do so 11 patients were studied in whom at least two (range 2-3) temporally distinct samples of tumor DNA and RNA were available. The baseline genetic initiating event was defined for all patients (3 were genetic high risk; one with t(14;16) two with t(4;14)) as well as the gene expression profile (GEP) defined risk score using the Little Rock 70 or 17 gene panel (only one, the t(14;16) was GEP defined high risk). High resolution array CGH and gene expression were then performed on each sample. Of the 8 patients with a “low risk” tumor initiating event and low risk GEP score, 6 patients had no, or only one, copy number abnormality (CNA) change between the two temporally distinct MM samples. In stark contrast the 3 genetic high risk at baseline had between 17 and 40 distinct CNA changes at the time of progression. For all 11 patients 89 CNA were acquired with progression whereas 19 previously abnormal regions disappeared suggesting clones with these abnormalities were extinguished by the therapy received. In total we detected 0-40 CNA changes between the various timepoints, median 1, mean 10.7. The acquisition of new CNA was much more common than the loss of CNA. We then focused more specifically on the t(4;14) patient with the highest number of CNA changes. This patient has a well documented clinical course of having a sustained two year VGPR to Len/dex and then progressing while still taking Len/dex. Comparison of the pre and post-Len/dex samples identified 40 CNA changes(the most of any pair studied to date). Only six CNA were shared between the two samples, which included deletions of chr4, 9, 12, 13, and X plus a t(4;14) translocation. These likely represent the initiating “driver” tumor events. The new CNA we identified originated from both remodeled genomic changes and the emergence of unique changes, indicating a new tumor clone had emerged while the previously dominant clone had regressed (e.g. a deletion of a large segment of chromosome 8 at diagnosis was no longer observed in the relapse sample). The newly acquired CNA encompassed 3968 genes (13.7% of the genes in the genome), however, only 1235 of these genes (4%) were expressed in this patient at diagnosis (1188 in the typical myeloma patient). Since 1235 genes is still a large number we hypothesized that whole genome sequencing (WGS) would help elucidate the mechanism of lenalidomide resistance. We isolated DNA from germline tissue and CD138 purified tumor cells including: diagnostic, first relapse and second relapse samples. Utilizing SOLiD (Applied Biosystems, Foster City, CA) sequencing technology, we have completed fragment library WGS on both the germline and the final tumor samples. Quality control measures report the average number of sequence reads per start point to be less than 1.2, indicating the library is primarily composed of unique molecules. In addition, approximately 40% of the sequence reads map uniquely to the genome. Together these quality measures indicate our sample libraries are complex and provide good representation of the genome. Data on the whole genome sequence of myeloma at diagnosis and at the time of progression will be presented. Disclosures: Bergsagel: Celgene: Consultancy.


Sign in / Sign up

Export Citation Format

Share Document