scholarly journals Clonal evolution and heterogeneity in advanced systemic mastocytosis revealed by single-cell DNA sequencing

2021 ◽  
Vol 5 (6) ◽  
pp. 1733-1736
Author(s):  
Ken-Hong Lim ◽  
Jo-Ning Wu ◽  
To-Yu Huang ◽  
Jie-Yang Jhuang ◽  
Yu-Cheng Chang ◽  
...  
2021 ◽  
Vol 11 ◽  
Author(s):  
Qingke Duan ◽  
Chao Tang ◽  
Zhao Ma ◽  
Chuangui Chen ◽  
Xiaobin Shang ◽  
...  

Gastroesophageal junction (GEJ) cancer is a tumor that occurs at the junction of stomach and esophagus anatomically. GEJ cancer frequently metastasizes to lymph nodes, however the heterogeneity and clonal evolution process are unclear. This study is the first of this kind to use single cell DNA sequencing to determine genomic variations and clonal evolution related to lymph node metastasis. Multiple Annealing and Looping Based Amplification Cycles (MALBAC) and bulk exome sequencing were performed to detect single cell copy number variations (CNVs) and single nucleotide variations (SNVs) respectively. Four GEJ cancer patients were enrolled with two (Pt.3, Pt.4) having metastatic lymph nodes. The most common mutation we found happened in the TTN gene, which was reported to be related with the tumor mutation burden in cancers. Significant intra-patient heterogeneity in SNVs and CNVs were found. We identified the SNV subclonal architecture in each tumor. To study the heterogeneity of CNVs, the single cells were sequenced. The number of subclones in the primary tumor was larger than that in lymph nodes, indicating the heterogeneity of primary site was higher. We observed two patterns of multi-station lymph node metastasis: one was skip metastasis and the other was to follow the lymphatic drainage. Taken together, our single cell genomic analysis has revealed the heterogeneity and clonal evolution in GEJ cancer.


2021 ◽  
Author(s):  
Sanjana Rajan ◽  
Simone Zaccaria ◽  
Matthew V. Cannon ◽  
Maren Cam ◽  
Amy C. Gross ◽  
...  

AbstractOsteosarcoma is an aggressive malignancy characterized by high genomic complexity. Identification of few recurrent mutations in protein coding genes suggests that somatic copy-number aberrations (SCNAs) are the genetic drivers of disease. Models around genomic instability conflict-it is unclear if osteosarcomas result from pervasive ongoing clonal evolution with continuous optimization of the fitness landscape or an early catastrophic event followed by stable maintenance of an abnormal genome. We address this question by investigating SCNAs in 12,019 tumor cells obtained from expanded patient tissues using single-cell DNA sequencing, in ways that were previously impossible with bulk sequencing. Using the CHISEL algorithm, we inferred allele- and haplotype-specific SCNAs from whole-genome single-cell DNA sequencing data. Surprisingly, we found that, despite extensive genomic aberrations, cells within each tumor exhibit remarkably homogeneous SCNA profiles with little sub-clonal diversification. Longitudinal analysis between two pairs of patient samples obtained at distant time points (early detection, relapse) demonstrated remarkable conservation of SCNA profiles over tumor evolution. Phylogenetic analysis suggests that the bulk of SCNAs was acquired early in the oncogenic process, with few new events arising in response to therapy or during adaptation to growth in distant tissues. These data suggest that early catastrophic events, rather than sustained genomic instability, drive formation of these extensively aberrant genomes. Overall, we demonstrate the power of combining single-cell DNA sequencing with an allele- and haplotype-specific SCNA inference algorithm to resolve longstanding questions regarding genetics of tumor initiation and progression, questioning the underlying assumptions of genomic instability inferred from bulk tumor data.


Author(s):  
Kiyomi Morita ◽  
Feng Wang ◽  
Katharina Jahn ◽  
Jack Kuipers ◽  
Yuanqing Yan ◽  
...  

SummaryOne of the pervasive features of cancer is the diversity of mutations found in malignant cells within the same tumor; a phenomenon called clonal diversity or intratumor heterogeneity. Clonal diversity allows tumors to adapt to the selective pressure of treatment and likely contributes to the development of treatment resistance and cancer recurrence. Thus, the ability to precisely delineate the clonal substructure of a tumor, including the evolutionary history of its development and the co-occurrence of its mutations, is necessary to understand and overcome treatment resistance. However, DNA sequencing of bulk tumor samples cannot accurately resolve complex clonal architectures. Here, we performed high-throughput single-cell DNA sequencing to quantitatively assess the clonal architecture of acute myeloid leukemia (AML). We sequenced a total of 556,951 cells from 77 patients with AML for 19 genes known to be recurrently mutated in AML. The data revealed clonal relationship among AML driver mutations and identified mutations that often co-occurred (e.g., NPM1/FLT3-ITD, DNMT3A/NPM1, SRSF2/IDH2, and WT1/FLT3-ITD) and those that were mutually exclusive (e.g., NRAS/KRAS, FLT3-D835/ITD, and IDH1/IDH2) at single-cell resolution. Reconstruction of the tumor phylogeny uncovered history of tumor development that is characterized by linear and branching clonal evolution patterns with latter involving functional convergence of separately evolved clones. Analysis of longitudinal samples revealed remodeling of clonal architecture in response to therapeutic pressure that is driven by clonal selection. Furthermore, in this AML cohort, higher clonal diversity (≥4 subclones) was associated with significantly worse overall survival. These data portray clonal relationship, architecture, and evolution of AML driver genes with unprecedented resolution, and illuminate the role of clonal diversity in therapeutic resistance, relapse and clinical outcome in AML.


2021 ◽  
Vol 5 (5) ◽  
pp. 1437-1441
Author(s):  
Cheryl A. C. Peretz ◽  
Lisa H. F. McGary ◽  
Tanya Kumar ◽  
Hunter Jackson ◽  
Jose Jacob ◽  
...  

Key Points Single-cell sequencing exposes previously unmeasurable complexity of tumor heterogeneity and clonal evolution on quizartinib. Single-cell sequencing reveals on- and off-target mechanisms of resistance to quizartinib, which can preexist therapy.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3216-3216
Author(s):  
Mohamad Jawhar ◽  
Juliana Schwaab ◽  
Susanne Schnittger ◽  
Karl Sotlar ◽  
Hans Peter Horny ◽  
...  

Abstract Systemic mastocytosis (SM) is characterized by abnormal proliferation and accumulation of mast cells (MC) in various tissues and organs, predominantly skin, bone marrow (BM) and visceral organs. The extent of organ infiltration and subsequent organ damage is the basis for the classification of SM into indolent SM (ISM), smoldering SM (SSM), SM with associated clonal hematologic non-MC lineage disease (SM-AHNMD), aggressive SM (ASM) and MC leukemia (MCL). Depending on the subtype of SM, cell source (BM or peripheral blood) and assay sensitivity, an acquired mutation in the receptor tyrosine kinase KIT, usually KIT D816V, is detectable in 80-90% of patients. Next-Generation Deep Amplicon Sequencing (NGS) was performed to investigate 18 candidate genes at known mutational hotspot regions as previously described. Additional mutations in genes encoding for signaling molecules (JAK2, CBL, KRAS, NRAS), transcription factors (RUNX1), epigenetic regulators (ASXL1, DNMT3A, EZH2, TET2) or splicing factors (SRSF2, SF3B1, U2AF1) are detectable in the vast majority of patients KIT D816V+ advanced SM. In order to gain more insight into clonal evolution of myeloid progenitors in indolent and advanced SM with or without AHNMD, we explored the mutation profile of single-cell-derived CFU-GM colonies - by using Sanger sequencing - in 19 KIT D816V+ SM patients (investigated colonies, n=285; median per patient, n=15; range 10-30). The study included 7 patients with ISM/SSM/ASM (0 additional mutations), 4 patients with SM-AHNMD (median 1 additional mutation, range 1-4) and 8 patients with ASM-AHNMD (median 3 additional mutations, range 1-4). KIT D816V+ CFU-GM could be identified in all 8 patients with ASM ± AHNMD but in only 20% (1/5) of patients with SM-AHNMD, while all CFU-GM colonies derived from ISM patients were completely KIT D816V negative. On the other hand, CFU-GM colonies from individual ASM ± AHNMD patients were never entirely KIT D816V+ (median 60%, range 0-95). In contrast to KIT D816V, additional mutations were identified in CFU-GM colonies from all 12 multi-mutated (A)SM-AHNMD patients and many of these mutations were present in 100% of the CFU-GM-derived colonies analyzed. In 8 patients, different subclones with variable proportions of the number of mutated genes were identified and allowed to generate putative evolutionary trees. These mutations included TET2 and SRSF2 mutations in 6/6 and 4/4 patients with (A)SM-AHNMD. In contrast, ASXL1 mutations were not identified in all TET2/SRSF2 positive CFU-GM colonies suggesting that they are likely to occur later than TET2 and SRSF2. When additional mutations and KIT D816V were detected concomitantly in individual single-cell-derived CFU-GM colonies, the overall frequency of CFU-GM colonies positive for additional mutations was always higher than those that were KIT D816V positive, indicating that the KIT D816V mutation was a secondary event. In contrast to advanced SM, all ISM patients were negative for additional mutations. CFU-GM colonies and also microdissected CD15+ cells derived from BM biopsies were entirely KIT D816V negative in these patients, highlighting that the KIT D816V mutation may be restricted to other (probably later) stages of stem cell development and possibly only to the MC lineage. In general, the relative proportion of KIT D816V+ progenitors correlated well with established parameters for quantification of disease burden, e.g. BM MC infiltration, serum tryptase levels and KIT D816V allele burden in individual patients. In conclusion, the presence of multi-mutated myeloid non-MC lineage progenitors of the CFU-GM-type suggests an initial clonal expansion at an early stage of hematopoietic development due to mutations other than KIT D816V with a subsequent phenotype modification towards SM due to a later acquisition of KIT D816V. In contrast, ISM/SSM is not affected by mutations at the CFU-GM level which may at least in part explain its excellent prognosis. Disclosures Schnittger: MLL Munich Leukemia Laboratory: Other. Horny:Novartis: Consultancy, Honoraria. Haferlach:MLL: Equity Ownership. Valent:Novartis: Consultancy. Reiter:Novartis: Consultancy, Honoraria.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Liwen Xu ◽  
Robert Durruthy-Durruthy ◽  
Dennis J. Eastburn ◽  
Maurizio Pellegrino ◽  
Omid Shah ◽  
...  

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