scholarly journals Invariant patterns of clonal succession determine specific clinical features of myelodysplastic syndromes

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Yasunobu Nagata ◽  
Hideki Makishima ◽  
Cassandra M. Kerr ◽  
Bartlomiej P. Przychodzen ◽  
Mai Aly ◽  
...  

AbstractMyelodysplastic syndromes (MDS) arise in older adults through stepwise acquisitions of multiple somatic mutations. Here, analyzing 1809 MDS patients, we infer clonal architecture by using a stringent, the single-cell sequencing validated PyClone bioanalytic pipeline, and assess the position of the mutations within the clonal architecture. All 3,971 mutations are grouped based on their rank in the deduced clonal hierarchy (dominant and secondary). We evaluated how they affect the resultant morphology, progression, survival and response to therapies. Mutations of SF3B1, U2AF1, and TP53 are more likely to be dominant, those of ASXL1, CBL, and KRAS are secondary. Among distinct combinations of dominant/secondary mutations we identified 37 significant relationships, of which 12 affect clinical phenotypes, 5 cooperatively associate with poor prognosis. They also predict response to hypomethylating therapies. The clonal hierarchy has distinct ranking and the resultant invariant combinations of dominant/secondary mutations yield novel insights into the specific clinical phenotype of MDS.

2021 ◽  
Author(s):  
Xiao Li ◽  
Chun-Kang Chang ◽  
Feng Xu ◽  
Ling-Yun Wu ◽  
Juan Guo ◽  
...  

The transformation biology of secondary AML from MDS is still not fully understood. Here, we performed a large cohort of paired sequences including target, whole-exome and single cell sequencing to search AML transformation- related mutations (TRM). The results showed that fifty-five out of the 64 (85.9%) patients presented presumptive TRM involving activated signaling, transcription factors, or tumor suppressors. Most of TRM (63.6%, 35 cases) emerged at the leukemia transformation point. All five of the remaining nine patients analyzed by paired whole exome sequencing showed TRM which are not included in the reference targets. Single-cell sequencing indicated that the activated cell signaling route was related to TRM which take place prior to phenotypic development. Of note, defined TRM was limited to a small set of genes (less than ten, in the order: NRAS/KRAS, CEBPA, TP53, FLT3, RUNX1, CBL, PTPN11 and WT1, accounted for 91.0% of the mutations). In conclusion, somatic mutations involving in activated signaling, transcription factors, or tumor suppressors appeared to be a precondition for AML transformation from myelodysplastic syndromes. The TRM may be considered as new therapy targets.


PLoS Genetics ◽  
2014 ◽  
Vol 10 (7) ◽  
pp. e1004462 ◽  
Author(s):  
Andrew E. O. Hughes ◽  
Vincent Magrini ◽  
Ryan Demeter ◽  
Christopher A. Miller ◽  
Robert Fulton ◽  
...  

2022 ◽  
Author(s):  
Feng Xu ◽  
Ling-Yun Wu ◽  
Juan Guo ◽  
Qi He ◽  
Zheng Zhang ◽  
...  

Abstract Background The transformation biology of secondary AML from MDS is still not fully understood. Here, we performed a large cohort of paired self-controlled sequences including target, whole-exome and single cell sequencing to search AML transformation-related mutations (TRMs). Methods 39 target genes from paired samples from 72 patients with MDS who had undergone AML transformation were analyzed by next generation target sequencing. Whole exome and single-cell RNA sequencing were used to verify the dynamics of transformation. Results The target sequencing results showed that sixty-four out of the 72 (88.9%) patients presented presumptive TRMs involving activated signaling, transcription factors, or tumor suppressors. Of the 64 patients, most of TRMs (62.5%, 40 cases) emerged at the leukemia transformation point. All three of the remaining eight patients analyzed by paired whole exome sequencing showed TRMs which are not included in the reference targets. No patient with MDS developed into AML only by acquiring mutations involved in epigenetic modulation or RNA splicing. Single-cell sequencing in one pair sample indicated that the activated cell signaling route was related to TRMs which take place prior to phenotypic development. Of note, target sequencing defined TRMs were limited to a small set of seven genes (in the order: NRAS/KRAS, CEBPA, TP53, FLT3, CBL, PTPN11 and RUNX1, accounted for nearly 90.0% of the TRMs). Conclusions Somatic mutations involving in signaling, transcription factors, or tumor suppressors appeared to be a precondition for AML transformation from MDS. The TRMs may be considered as new therapy targets.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 105-105 ◽  
Author(s):  
Victor Pastor Loyola ◽  
Pritam Kumar Panda ◽  
Sushree Sangita Sahoo ◽  
Enikoe Amina Szvetnik ◽  
Emilia J. Kozyra ◽  
...  

Abstract Childhood myelodysplastic syndromes (MDS) account for less than 5% of pediatric hematologic malignancies and differ from their adult counterpart in terms of biology, genetics, and cure rates. Complete (-7) or partial loss (del7q) of chromosome 7 constitutes the most common cytogenetic abnormality and is associated with more advanced disease typically requiring timely hematopoietic stem cell transplantation (HSCT). Previously, we and others established a link between -7 and germline GATA2 mutations in pediatric MDS (37% of MDS/-7 cases are GATA2-deficient) as well as constitutional SAMD9/9L disorders where -7 is utilized as an escape mechanism from the growth-restrictive effect of SAMD9/9L mutations. To date, comprehensive sequencing studies have been performed in 96 children with primary MDS, as reported by Pastor et al, Leukemia 2017 and Schwartz et al, Nature Comm 2017. This work established mutations in SETBP1, ASXL1, PTPN11, RUNX1 and RAS pathway genes as common somatic drivers. However, little is known about the clonal development of -7 and the role of additional somatic mutations. The knowledge about clonal hierarchies is essential for the understanding of disease progression on molecular level and for mapping potential drug targets. The rationale for the current study was to i) define the most common somatic drivers in a large cohort of patients with childhood MDS, ii) identify clonal/subclonal mutations, iii) infer clonal architecture of monosomy 7 and track the changes over time. We studied a cohort of 576 children and adolescents with primary MDS diagnosed between 1998 and 2016 in Germany, consisting of 482 (83%) patients with refractory cytopenia of childhood (RCC) and 94 (17%) MDS with excess blasts (EB). All patients underwent deep sequencing for 30 genes relevant to pediatric MDS and additional WES was performed in 150/576 patients. Using 20 computational predictors (including CADD and REVEL), population databases and germline testing, we identified the most likely pathogenic mutations. First, we excluded germline predisposing mutations in GATA2, SAMD9/SAMD9L and RUNX1 detected in 7% (38/576), 8% (43 of 548 evaluable) and 0.7% (4/576) of patients, respectively. Then we focused on the exploration of somatic aberrations. Most common karyotype abnormalities were monosomy 7 (13%, 77/576) and trisomy 8 (3%, 17/576). A total of 104 patients carried somatic mutations, expectedly more prevalent in the MDS-EB group as compared to RCC (56%, 53/94 vs 10.6%, 51/482; p<0.0001). The most recurrent somatic hits (≥ 1% frequency within 576 cases) were in SETBP1 (4.2%), ASXL1 (3.8%), RUNX1 (3.3%), NRAS (2.9%), KRAS (1.6%), PTPN11 (1.4%) and STAG2 (1%). We next focused on the -7 karyotype as a common denominator for the mutated group. Mutations were found in 54% (43/79), and the mutational load was significantly higher in -7 vs. non-7 (1.1 vs. 0.1 mutations per patient; p<0.001). In 11 patients with -7 and concomitant SETBP1/ASXL1 driver mutations, SETBP1 surpassed ASXL1 hits (median allelic frequency: 38% vs. 24%, p<0.05), while mutations in other genes were subclonal. Notably, these clonal patterns were independent of the underlying hereditary predisposition (4/11 GATA2; 3/11 SAMD9L). To explore the clonal hierarchy in MDS/-7 we performed targeted sequencing of several hundreds of single bone marrow derived colony forming cells (CFC) in 7 patients with MDS/-7. In all cases, the -7 clone was the founding clone followed by stepwise acquisition of mutations (i.e. -7>SETBP1>ASXL1; -7>SETBP1>ASXL1>PTPN11; -7>SETBP1>ASXL1>CBL, -7>EZH2>PTPN11). Finally, we tracked clonal evolution over time in 12 cases with 2-12 available serial samples using deep sequencing complemented by serial CFC-analysis. This confirmed that SETBP1 clones are rapidly expanding, while ASXL1 subclones exhibit an unstable pattern with clonal sweeping, while additional minor clones are acquired as late events. In 2 of 11 transplanted patients who experienced relapse, the original clonal architecture reappeared after HSCT. In summary, the hierarchy of clonal evolution in pediatric MDS with -7 follows a defined pattern with -7 aberrations arising as ancestral event followed by the acquisition of somatic hits. SETBP1 mutations are the dominant driver while co-dominant ASXL1 mutations are unstable. The functional interdependence and potential pharmacologic targetability of such somatic lesions warrants further studies. Disclosures Niemeyer: Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees.


Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 841
Author(s):  
Pamela Acha ◽  
Laura Palomo ◽  
Francisco Fuster-Tormo ◽  
Blanca Xicoy ◽  
Mar Mallo ◽  
...  

Myelodysplastic syndromes (MDS) are a heterogeneous group of hematological diseases. Among them, the most well characterized subtype is MDS with isolated chromosome 5q deletion (MDS del(5q)), which is the only one defined by a cytogenetic abnormality that makes these patients candidates to be treated with lenalidomide. During the last decade, single cell (SC) analysis has emerged as a powerful tool to decipher clonal architecture and to further understand cancer and other diseases at higher resolution level compared to bulk sequencing techniques. In this study, a SC approach was used to analyze intratumoral heterogeneity in four patients with MDS del(5q). Single CD34+CD117+CD45+CD19- bone marrow hematopoietic stem progenitor cells were isolated using the C1 system (Fluidigm) from diagnosis or before receiving any treatment and from available follow-up samples. Selected somatic alterations were further analyzed in SC by high-throughput qPCR (Biomark HD, Fluidigm) using specific TaqMan assays. A median of 175 cells per sample were analyzed. Inferred clonal architectures were relatively simple and either linear or branching. Similar to previous studies based on bulk sequencing to infer clonal architecture, we were able to observe that an ancestral event in one patient can appear as a secondary hit in another one, thus reflecting the high intratumoral heterogeneity in MDS del(5q) and the importance of patient-specific molecular characterization.


Author(s):  
Linde A. Miles ◽  
Robert L. Bowman ◽  
Tiffany R. Merlinsky ◽  
Isabelle S. Csete ◽  
Aik Ooi ◽  
...  

SummaryMyeloid malignancies, including acute myeloid leukemia (AML), arise from the proliferation and expansion of hematopoietic stem and progenitor cells which acquire somatic mutations. Bulk molecular profiling studies on patient samples have suggested that somatic mutations are obtained in a step-wise fashion, where mutant genes with high variant allele frequencies (VAFs) are proposed to occur early in disease development and mutations with lower VAFs are thought to be acquired later in disease progression1–3. Although bulk sequencing informs leukemia biology and prognostication, it cannot distinguish which mutations occur in the same clone(s), accurately measure clonal complexity and clone size, or offer definitive evidence of mutational order. To elucidate the clonal framework of myeloid malignancies, we performed single cell mutational profiling on 146 samples from 123 patients. We found AML is most commonly comprised of a small number of dominant clones, which in many cases harbor co-occurring mutations in epigenetic regulators. Conversely, mutations in signaling genes often occur more than once in distinct subclones consistent with increasing clonal diversity. We also used these data to map the clonal trajectory of each patient and found that specific mutation combinations (FLT3-ITD + NPM1c) synergize to promote clonal expansion and dominance. We combined cell surface protein expression with single cell mutational analysis to map somatic genotype and clonal architecture with immunophenotype. Our studies of clonal architecture at a single cell level provide novel insights into the pathogenesis of myeloid transformation and how clonal complexity contributes to disease progression.


2021 ◽  
Vol 12 ◽  
Author(s):  
Chang-yi Zhao ◽  
Chun-hui Hua ◽  
Chang-hua Li ◽  
Rui-zhe Zheng ◽  
Xin-yuan Li

Background: PYGL has been reported as a glycogen degradation-related gene, which is up-regulated in many tumors. This study was designed to investigate the predictive value of high PYGL expression in patients with gliomas through bioinformatics analysis of the gene transcriptome and the single-cell sequencing data.Methods: The gene transcriptome data of 595 glioma patients from the TCGA database and the single-cell RNA sequencing data of 7,930 GBM cells from the GEO database were included in the study. Differential analysis was used to find the distribution of expression of PYGL in different groups of glioma patients. OS analysis was used to assess the influence of the high expression of PYGL on the prognosis of patients. The reliability of its prediction was evaluated by the AUC of ROC and the C-index. The GSEA be used to reveal potential mechanisms. The single-cell analysis was used to observe the high expression of PYGL in different cell groups to further analyze the mechanism of its prediction.Results: Differential analysis identified the expression level of PYGL is positively associated with glioma malignancy. OS analysis and Cox regression analyses showed high expression of PYGL was an independent factor for poor prognosis of gliomas (p &lt; 0.05). The AUC values were 0.838 (1-year ROC), 0.864 (3-year ROC) and 0.833 (5-year ROC). The C index was 0.81. The GSEA showed that gene sets related to MTORC1 signaling, glycolysis, hypoxia, PI3K/AKT/mTOR signaling, KRAS signaling up and angiogenesis were differentially enriched in the high PYGL expression phenotype. The single-cell sequencing data analysis showed TAMs and malignant cells in GBM tissues expressed a high level of PYGL.Conclusion: The high expression of PYGL is an independent predictor of poor prognosis in patients with glioma.


2020 ◽  
Author(s):  
Yuan Gao ◽  
Jeff Gaither ◽  
Julia Chifman ◽  
Laura Kubatko

Although the role of evolutionary processes in cancer progression is widely accepted, increasing attention is being given to evolutionary mechanisms that can lead to differences in clinical outcome. Recent studies suggest that the temporal order in which somatic mutations accumulate during cancer progression is important. Single-cell sequencing provides a unique opportunity to examine the mutation order during cancer progression. However, the errors associated with single-cell sequencing complicate this task. We propose a new method for inferring the order in which somatic mutations arise within a tumor using noisy single-cell sequencing data that incorporates the errors that arise from the data collection process. Using simulation, we show that our method outperforms existing methods for identifying mutation order in most cases, especially when the number of cells is large. Our method also provides a means to quantify the uncertainty in the inferred mutation order along a fixed phylogeny. We apply our method to empirical data for colorectal and prostate cancer.


2021 ◽  
Vol 21 ◽  
pp. S65
Author(s):  
Lukas John ◽  
Alexandra Poos ◽  
Stephan Tirier ◽  
Jan-Philipp Mallm ◽  
Nina Prokoph ◽  
...  

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