Germline Exome Sequencing From MLL-Negative Infant AML Patients Reveals Compound Heterozygosity For Novel, Non-Synonymous Alleles Of MLL3: A Report From The Children’s Oncology Group (COG)

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 62-62
Author(s):  
Mark C. Valentine ◽  
Amy M. Linabery ◽  
Logan G. Spector ◽  
Julie A Ross ◽  
Todd E Druley

Abstract Introduction Mixed Lineage Leukemia-negative (MLL-) infant leukemia (IL) is an extremely rare, sporadic, and often fatal form of leukemia in children less than one year of age with overall survival <50%. Approximately two-thirds of these cases possess a translocation in the MLL gene. The incidence rate of IL is increasing (Linabery, Cancer 2008) in the US, but cannot be solely attributed to somatic mutations (Andersson A, Cancer Res 2012) or environmental exposures (Ross, Epidemiol Rev 1994). Maternal prenatal exposure to topoisomerase II inhibitors has been associated with infant AML onset in a model similar to therapy-related AML (Spector, Cancer Epidemiol Biomarkers Prev 2006). While there has been extensive research on the impact of MLL-rearrangements, very little work on the genetics of MLL- IL has been reported. Given the absence of chromosomal rearrangements or somatic mutations, we hypothesized that the onset of MLL- IL requires heritable or de novo deleterious germline variants, which would mitigate the requirement for acquired genetic lesions and allow early leukemic transformation. Methods We completed germline exome sequencing of 13 pairs of Caucasian mothers and their infants with MLL- AML collected from the COG “Epidemiology of Infant Leukemia” study and 25 Caucasian children without cancer. Our cohort consisted of six boys and seven girls with an average age at diagnosis of 5.3 months (range 1.6-11.4). Average maternal age was 33.4 years (range 25.4-41.8). DNA was collected from buccal cells either via mouthwash (mothers) or cytobrush (infants). Sequencing was performed at Washington University on the Illumina HiSeq 2000 platform and analyzed using our laboratory’s published and validated bioinformatic pipeline (Ramos, BMC Genomics, 2012). We focused on sequence variants within 655 AML-associated genes (defined by COSMIC) that were novel (not in dbSNP, 1000 Genomes or the Exome Variant Server), non-synonymous and predicted to be damaging according to six prediction algorithms in the Annovar software package. We prioritized genes with a compound heterozygous genotype. Results Compared to their mothers and unaffected controls, infants with AML demonstrated a 2.7 and 7.9-fold excess, respectively, of novel, non-synonymous and predicted deleterious germline variants in 655 genes associated with somatic mutation in AML. Per exome within these candidate genes, this correlated to an average of 121 variants (range 31-124) for AML infants, 31 (range 0-41) for mothers and 11 (range 6-14) for unaffected controls. Hypergeometric analysis confirmed that this enrichment was significant (P = 2.7 e-41) compared to 100,000 randomly chosen sets of 655 genes from within the same exomes. There was no correlation between gene size and the number of variants identified (r2 = 0.15). To further prioritize genes that may be relevant to infant AML, we looked for any gene with a compound heterozygous genotype. Interestingly, every infant AML patient only possessed two compound heterozygotes: ANKRD36 and MLL3. ANKRD36 was not in our candidate gene list and a connection to leukemia is unclear, but MLL3 has an established history in cancer biology. Discussion MLL3, a homolog of MLL, is a H3K4 histone methyltransferase and dimerizes with p53 as a tumor suppressor (Lee J, PNAS 2009). Mll3 knockout mice develop urogenital tumors, and somatic mutation has been linked to carcinoma of the stomach, gallbladder, bladder and liver in humans. More recently, a germline frameshift in MLL3 was identified in a pedigree with adult-onset AML and colorectal cancer (Li WD, Blood 2013). Our results provide evidence for a germline mechanism of developmental disruption of essential epigenetic regulatory mechanisms in infant AML, secondary to MLL3 dysfunction, that may be analogous to the consequences of MLL-rearrangement observed in the majority of IL cases and MLL+ therapy-related AML. These results also suggest that a combination of inherited variation from each parent is necessary to create a genetic background amenable to leukemic transformation, and are compatible with an influence from environmental exposures and the in utero establishment of leukemic clones in IL. Functional studies to determine if MLL3 dysfunction alone is sufficient for early onset AML or requires additive cooperativity with other congenital or acquired genetic lesions or specific exposures (e.g. topoisomerase II inhibitors) are necessary. Disclosures: No relevant conflicts of interest to declare.

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 536-536
Author(s):  
Todd E. Druley ◽  
Mark Valentine ◽  
Nicholas Sanchez ◽  
Julie A. Ross

Abstract Abstract 536 Introduction: Infant leukemia (IL) is an extremely rare, sporadic, but often fatal, form of cancer that is defined as leukemia occurring within the first year of life. Unlike leukemia in older children where survival rates for acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) are approximately 70% and 85%, respectively, infants have a survival rate of ∼50%. Unfortunately, despite years of research and clinical trials, overall survival for IL hasn't improved substantially since the advent of hematopoietic stem cell transplantation, and those infants that survive are often left with lifelong deficits in cognition, development, end organ function, behavioral milestones and/or other complications due to the intensity of treatment (Pui, NEJM 2003; Chow, J Pediatr 2007). The incidence rate of IL is increasing (Linabery, Cancer 2008) in the US, but cannot be attributed to chromosomal anomalies (Uckun, Blood 1998), environmental exposures (Ross, Epidemiol Rev 1994), or highly penetrant genetic polymorphisms alone. Clearly, a critical component of IL pathophysiology remains undiscovered. Rare variation has been implicated in a host of complex phenotypes and diseases, but the impact of rare germline variants on the etiology and outcome of IL has not been fully explored. The Rare Variant Hypothesis predicts that a population of affected individuals would harbor a diverse collection of functionally significant variants in genes involved in etiologically relevant pathways. Given this model, we hypothesize that the onset of IL requires heritable deleterious germline variants, which act alone or in combination with somatic mutations to induce leukemic transformation. Methods: To explore this possibility, we completed a pilot exome sequencing project on 25 pairs of germline DNA from mothers and their infants with MLL-negative IL collected from the Children's Oncology Group (COG) AE24 “Epidemiology of Infant Leukemia” study. Twelve infants had ALL, 13 had AML and none of the mothers had cancer. We asked if a) infants harbored rare or novel deleterious germline variants in known leukemia genes, b) these variants were inherited from mothers and c) the genes affected by these germline variants fell in common pathways or share common regulatory mechanisms. Results: We found an average of 16,056 variants per exome with an average of 3,082 (19.2%) being novel. Comparing these results to the COSMIC database (http://www.sanger.ac.uk/genetics/CGP/cosmic/), infants with AML had novel, non-synonymous, deleterious germline variants in 82 genes associated with hematologic malignancies, infants with ALL had similar variants in 64 genes, and 42 additional genes (40%) overlapped between ALL or AML. For infants with ALL, 45% of these variants were inherited from healthy mothers compared to only 23% in AML infants. Presumably, the remaining variants were inherited from fathers, but without paternal DNA, we cannot exclude de novo germline mutation, although such mutations are exceedingly rare and would only account for a few non-maternal variants. We used the g:Profiler (http://biit.cs.ut.ee/gprofiler/) algorithm to determine if any of these genes acted in common leukemia-related pathways or shared regulatory mechanisms. We found that many candidate genes were regulated by microRNAs (MIR) previously implicated in cancer, including MIR10a, MIR29c, MIR291b-3p, MIR369-5p, MIR469, MIR519a, MIR721. Five MIRs have been associated with leukemia, four with acute leukemia. Two MIRs, 291b-3p and 721, are also associated with embryonic stem cell cycle regulation and apoptosis, respectively. Ongoing work is focusing on additional exome sequencing, epidemiologic analysis and in vitro functional studies. Conclusion: It is clear that the incidence, clinical behavior and outcomes of IL cannot be explained fully through either environmental exposures or somatic mutations alone. We are leveraging the largest epidemiologic study of IL to date to explore the intersection of functional congenital genetic variation, clinical outcomes and maternal prenatal/pregnancy exposures to augment our understanding of IL. A better understanding of the natural history of IL will aid in future recommendations for pre- and post-natal genetic diagnostics, risk stratification of affected infants and ultimately therapeutic decisions. Disclosures: No relevant conflicts of interest to declare.


2017 ◽  
Author(s):  
Rodrigo A. Toledo ◽  
Elena Garralda ◽  
Maria Mitsi ◽  
Tirso Pons ◽  
Jorge Monsech ◽  
...  

ABSTRACTThe non-invasive detection of cancer mutations is a breakthrough in oncology. Here, we applied whole-exome sequencing of matched germline and basal plasma cell-free DNA samples (WES-cfDNA) on aRAS/BRAF/PIK3CAwild-type metastatic colorectal cancer patient with primary resistance to standard treatment regimens including VEGFR inhibitors. Using WES-cfDNA, we could detect 73% (54/74) of the somatic mutations uncovered by WES-tumor including a variety of mutation types: frameshift (indels), missense, noncoding (splicing), and nonsense mutations. Additionally, WES-cfDNA discovered 14 high-confidence somatic mutations not identified by WES-tumor. Importantly, in the absence of the tumor specimen, WES-cfDNA could identify 68 of the 88 (77.3%) total mutations that could be identified by both techniques. Of tumor biology relevance, we identified the novelKDR/VEGFR2 L840F somatic mutation, which we showed was a clonal mutation event in this tumor. Comprehensivein vitroandin vivofunctional assays confirmed that L840F causes strong resistance to anti-angiogenic drugs, whereas theKDR/VEGFR2 hot-spot mutant R1032Q confers sensitivity to cabozantinib. Moreover, we found a 1-3% of recurrentKDRsomatic mutations across large and non-overlapping cancer sequencing projects, and the majority of these mutations were located in protein residues frequently mutated in other cancer-relevant kinases, such as EGFR, ABL1, and ALK, suggesting a functional role.In summary, the current study highlights the capability of exomic sequencing of cfDNA from plasma of cancer patients as a powerful platform for somatic landscape analysis and discovery of resistance-associated cancer mutations. Because of its advantage to generate results highly concordant to those of tumor sequencing without the hurdle of conventional tumor biopsies, we anticipate that WES-cfDNA will become frequently used in oncology. Moreover, our study identified for the first-timeKDR/VEGFR2 somatic mutations as potential genetic biomarkers of response to anti-angiogenic cancer therapies and will serve as reference for further studies on the topic.


Author(s):  
Firda Aminy Maruf ◽  
Rian Pratama ◽  
Giltae Song

Detection of somatic mutation in whole-exome sequencing data can help elucidate the mechanism of tumor progression. Most computational approaches require exome sequencing for both tumor and normal samples. However, it is more common to sequence exomes for tumor samples only without the paired normal samples. To include these types of data for extensive studies on the process of tumorigenesis, it is necessary to develop an approach for identifying somatic mutations using tumor exome sequencing data only. In this study, we designed a machine learning approach using Deep Neural Network (DNN) and XGBoost to identify somatic mutations in tumor-only exome sequencing data and we integrated this into a pipeline called DNN-Boost. The XGBoost algorithm is used to extract the features from the results of variant callers and these features are then fed into the DNN model as input. The XGBoost algorithm resolves issues of missing values and overfitting. We evaluated our proposed model and compared its performance with other existing benchmark methods. We noted that the DNN-Boost classification model outperformed the benchmark method in classifying somatic mutations from paired tumor-normal exome data and tumor-only exome data.


1998 ◽  
Vol 53 (1) ◽  
pp. 50-53 ◽  
Author(s):  
Satoko Hojo ◽  
Jiro Fujita ◽  
Hiroshi Miyawaki ◽  
Yuka Obayashi ◽  
Jiro Takahara ◽  
...  

2020 ◽  
Vol 22 (10) ◽  
pp. 675-682 ◽  
Author(s):  
Jie Yin ◽  
Zhongping Qin ◽  
Kai Wu ◽  
Yufei Zhu ◽  
Landian Hu ◽  
...  

Backgrounds and Objective: Blue rubber bleb nevus syndrome (BRBN) or Bean syndrome is a rare Venous Malformation (VM)-associated disorder, which mostly affects the skin and gastrointestinal tract in early childhood. Somatic mutations in TEK have been identified from BRBN patients; however, the etiology of TEK mutation-negative patients of BRBN need further investigation. Method: Two unrelated sporadic BRBNs and one sporadic VM were firstly screened for any rare nonsilent mutation in TEK by Sanger sequencing and subsequently applied to whole-exome sequencing to identify underlying disease causative variants. Overexpression assay and immunoblotting were used to evaluate the functional effect of the candidate disease causative variants. Results: In the VM case, we identified the known causative somatic mutation in the TEK gene c.2740C>T (p.Leu914Phe). In the BRBN patients, we identified two rare germline variants in GLMN gene c.761C>G (p.Pro254Arg) and c.1630G>T(p.Glu544*). The GLMN-P254R-expressing and GLMN-E544X-expressing HUVECs exhibited increased phosphorylation of mTOR-Ser-2448 in comparison with GLMN-WTexpressing HUVECs in vitro. Conclusion: Our results demonstrated that rare germline variants in GLMN might contribute to the pathogenesis of BRBN. Moreover, abnormal mTOR signaling might be the pathogenesis mechanism underlying the dysfunction of GLMN protein.


2019 ◽  
Vol 493 ◽  
pp. 87-91 ◽  
Author(s):  
Libin Mei ◽  
Yanru Huang ◽  
Jing Chen ◽  
XueMei He ◽  
Shaobin Lin ◽  
...  

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ege Ülgen ◽  
Özge Can ◽  
Kaya Bilguvar ◽  
Cemaliye Akyerli Boylu ◽  
Şirin Kılıçturgay Yüksel ◽  
...  

Abstract Background In the clinical setting, workflows for analyzing individual genomics data should be both comprehensive and convenient for clinical interpretation. In an effort for comprehensiveness and practicality, we attempted to create a clinical individual whole exome sequencing (WES) analysis workflow, allowing identification of genomic alterations and presentation of neurooncologically-relevant findings. Methods The analysis workflow detects germline and somatic variants and presents: (1) germline variants, (2) somatic short variants, (3) tumor mutational burden (TMB), (4) microsatellite instability (MSI), (5) somatic copy number alterations (SCNA), (6) SCNA burden, (7) loss of heterozygosity, (8) genes with double-hit, (9) mutational signatures, and (10) pathway enrichment analyses. Using the workflow, 58 WES analyses from matched blood and tumor samples of 52 patients were analyzed: 47 primary and 11 recurrent diffuse gliomas. Results The median mean read depths were 199.88 for tumor and 110.955 for normal samples. For germline variants, a median of 22 (14–33) variants per patient was reported. There was a median of 6 (0–590) reported somatic short variants per tumor. A median of 19 (0–94) broad SCNAs and a median of 6 (0–12) gene-level SCNAs were reported per tumor. The gene with the most frequent somatic short variants was TP53 (41.38%). The most frequent chromosome-/arm-level SCNA events were chr7 amplification, chr22q loss, and chr10 loss. TMB in primary gliomas were significantly lower than in recurrent tumors (p = 0.002). MSI incidence was low (6.9%). Conclusions We demonstrate that WES can be practically and efficiently utilized for clinical analysis of individual brain tumors. The results display that NOTATES produces clinically relevant results in a concise but exhaustive manner.


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