scholarly journals Discovering the drivers of clonal hematopoiesis

Author(s):  
Oriol Pich ◽  
Iker Reyes-Salazar ◽  
Abel Gonzalez-Perez ◽  
Nuria Lopez-Bigas

AbstractMutations in genes that confer a selective advantage to hematopoietic stem cells (HSCs) in certain conditions drive clonal hematopoiesis (CH). While some CH drivers have been identified experimentally or through epidemiological studies, the compendium of all genes able to drive CH upon mutations in HSCs is far from complete. We propose that identifying signals of positive selection in blood somatic mutations may be an effective way to identify CH driver genes, similarly as done to identify cancer genes. Using a reverse somatic variant calling approach, we repurposed whole-genome and whole-exome blood/tumor paired samples of more than 12,000 donors from two large cancer genomics cohorts to identify blood somatic mutations. The application of IntOGen, a robust driver discovery pipeline, to blood somatic mutations across both cohorts, and more than 24,000 targeted sequenced samples yielded a list of close to 70 genes with signals of positive selection in CH, available at http://www.intogen.org/ch. This approach recovers all known CH genes, and discovers novel candidates. Generating this compendium is an essential step to understand the molecular mechanisms of CH and to accurately detect individuals with CH to ascertain their risk to develop related diseases.

Blood ◽  
2020 ◽  
Vol 135 (4) ◽  
pp. 269-273 ◽  
Author(s):  
Margarete A. Fabre ◽  
Thomas McKerrell ◽  
Maximillian Zwiebel ◽  
M. S. Vijayabaskar ◽  
Naomi Park ◽  
...  

Abstract Although acquisition of leukemia-associated somatic mutations by 1 or more hematopoietic stem cells is inevitable with advancing age, its consequences are highly variable, ranging from clinically silent clonal hematopoiesis (CH) to leukemic progression. To investigate the influence of heritable factors on CH, we performed deep targeted sequencing of blood DNA from 52 monozygotic (MZ) and 27 dizygotic (DZ) twin pairs (aged 70-99 years). Using this highly sensitive approach, we identified CH (variant allele frequency ≥0.5%) in 62% of individuals. We did not observe higher concordance for CH within MZ twin pairs as compared with that within DZ twin pairs, or to that expected by chance. However, we did identify 2 MZ pairs in which both twins harbored identical rare somatic mutations, suggesting a shared cell of origin. Finally, in 3 MZ twin pairs harboring mutations in the same driver genes, serial blood samples taken 4 to 5 years apart showed substantial twin-to-twin variability in clonal trajectories. Our findings propose that the inherited genome does not exert a dominant influence on the behavior of adult CH and provide evidence that CH mutations may be acquired in utero.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Cesim Erten ◽  
Aissa Houdjedj ◽  
Hilal Kazan

Abstract Background Recent cancer genomic studies have generated detailed molecular data on a large number of cancer patients. A key remaining problem in cancer genomics is the identification of driver genes. Results We propose BetweenNet, a computational approach that integrates genomic data with a protein-protein interaction network to identify cancer driver genes. BetweenNet utilizes a measure based on betweenness centrality on patient specific networks to identify the so-called outlier genes that correspond to dysregulated genes for each patient. Setting up the relationship between the mutated genes and the outliers through a bipartite graph, it employs a random-walk process on the graph, which provides the final prioritization of the mutated genes. We compare BetweenNet against state-of-the art cancer gene prioritization methods on lung, breast, and pan-cancer datasets. Conclusions Our evaluations show that BetweenNet is better at recovering known cancer genes based on multiple reference databases. Additionally, we show that the GO terms and the reference pathways enriched in BetweenNet ranked genes and those that are enriched in known cancer genes overlap significantly when compared to the overlaps achieved by the rankings of the alternative methods.


2020 ◽  
Author(s):  
Xun Gu

AbstractCurrent cancer genomics databases have accumulated millions of somatic mutations that remain to be further explored, faciltating enormous high throuput analyses to explore the underlying mechanisms that may contribute to malignant initiation or progression. In the context of over-dominant passenger mutations (unrelated to cancers), the challenge is to identify somatic mutations that are cancer-driving. Under the notion that carcinogenesis is a form of somatic-cell evolution, we developed a two-component mixture model that enables to accomplish the following analyses. (i) We formulated a quasi-likelihood approach to test whether the two-component model is significantly better than a single-component model, which can be used for new cancer gene predicting. (ii) We implemented an empirical Bayesian method to calculate the posterior probabilities of a site to be cancer-driving for all sites of a gene, which can be used for new driving site predicting. (iii) We developed a computational procedure to calculate the somatic selection intensity at driver sites and passenger sites, respectively, as well as site-specific profiles for all sites. Using these newly-developed methods, we comprehensively analyzed 294 known cancer genes based on The Cancer Genome Atlas (TCGA) database.


2020 ◽  
Vol 21 (21) ◽  
pp. 7902
Author(s):  
Oleg Kandarakov ◽  
Alexander Belyavsky

Cardiovascular diseases and cancer, the leading causes of morbidity and mortality in the elderly, share some common mechanisms, in particular inflammation, contributing to their progression and pathogenesis. However, somatic mutagenesis, a driving force in cancer development, has not been generally considered as an important factor in cardiovascular disease pathology. Recent studies demonstrated that during normal aging, somatic mutagenesis occurs in blood cells, often resulting in expansion of mutant clones that dominate hematopoiesis at advanced age. This clonal hematopoiesis is primarily associated with mutations in certain leukemia-related driver genes and, being by itself relatively benign, not only increases the risks of subsequent malignant hematopoietic transformation, but, unexpectedly, has a significant impact on progression of atherosclerosis and cardiovascular diseases. In this review, we discuss the phenomenon of clonal hematopoiesis, the most important genes involved in it, its impact on cardiovascular diseases, and relevant aspects of hematopoietic stem cell biology.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Antonio Colaprico ◽  
Catharina Olsen ◽  
Matthew H. Bailey ◽  
Gabriel J. Odom ◽  
Thilde Terkelsen ◽  
...  

AbstractCancer driver gene alterations influence cancer development, occurring in oncogenes, tumor suppressors, and dual role genes. Discovering dual role cancer genes is difficult because of their elusive context-dependent behavior. We define oncogenic mediators as genes controlling biological processes. With them, we classify cancer driver genes, unveiling their roles in cancer mechanisms. To this end, we present Moonlight, a tool that incorporates multiple -omics data to identify critical cancer driver genes. With Moonlight, we analyze 8000+ tumor samples from 18 cancer types, discovering 3310 oncogenic mediators, 151 having dual roles. By incorporating additional data (amplification, mutation, DNA methylation, chromatin accessibility), we reveal 1000+ cancer driver genes, corroborating known molecular mechanisms. Additionally, we confirm critical cancer driver genes by analysing cell-line datasets. We discover inactivation of tumor suppressors in intron regions and that tissue type and subtype indicate dual role status. These findings help explain tumor heterogeneity and could guide therapeutic decisions.


2019 ◽  
Vol 47 (13) ◽  
pp. 6642-6655 ◽  
Author(s):  
Nadav Brandes ◽  
Nathan Linial ◽  
Michal Linial

Abstract Compiling the catalogue of genes actively involved in cancer is an ongoing endeavor, with profound implications to the understanding and treatment of the disease. An abundance of computational methods have been developed to screening the genome for candidate driver genes based on genomic data of somatic mutations in tumors. Existing methods make many implicit and explicit assumptions about the distribution of random mutations. We present FABRIC, a new framework for quantifying the selection of genes in cancer by assessing the effects of de-novo somatic mutations on protein-coding genes. Using a machine-learning model, we quantified the functional effects of ∼3M somatic mutations extracted from over 10 000 human cancerous samples, and compared them against the effects of all possible single-nucleotide mutations in the coding human genome. We detected 593 protein-coding genes showing statistically significant bias towards harmful mutations. These genes, discovered without any prior knowledge, show an overwhelming overlap with known cancer genes, but also include many overlooked genes. FABRIC is designed to avoid false discoveries by comparing each gene to its own background model using rigorous statistics, making minimal assumptions about the distribution of random somatic mutations. The framework is an open-source project with a simple command-line interface.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3214-3214 ◽  
Author(s):  
Andreas Agathangelidis ◽  
Viktor Ljungström ◽  
Lydia Scarfò ◽  
Claudia Fazi ◽  
Maria Gounari ◽  
...  

Abstract Chronic lymphocytic leukemia (CLL) is preceded by monoclonal B cell lymphocytosis (MBL), characterized by the presence of monoclonal CLL-like B cells in the peripheral blood, yet at lower numbers than those required for the diagnosis of CLL. MBL is distinguished into low-count (LC-MBL) and high-count (HC-MBL), based on the number of circulating CLL-like cells. While the former does not virtually progress into a clinically relevant disease, the latter may evolve into CLL at a rate of 1% per year. In CLL, genomic studies have led to the discovery of recurrent gene mutations that drive disease progression. These driver mutations may be detected in HC-MBL and even in multipotent hematopoietic progenitor cells from CLL patients, suggesting that they may be essential for CLL onset. Using whole-genome sequencing (WGS) we profiled LC-MBL and HC-MBL cases but also CLL patients with stable lymphocytosis (range: 39.8-81.8*109 CLL cells/l) for >10 years (hereafter termed indolent CLL). This would refine our understanding of the type of genetic aberrations that may be involved in the initial transformation rather than linked to clinical progression as is the case for most, if not all, CLL driver mutations. To this end, we whole-genome sequenced CD19+CD5+CD20dim cells from 6 LC-MBL, 5 HC-MBL and 5 indolent CLL cases; buccal control DNA and polymorphonuclear (PMN) cells were analysed in all cases. We also performed targeted deep-sequencing on 11 known driver genes (ATM, BIRC3, MYD88, NOTCH1, SF3B1, TP53, EGR2, POT1, NFKBIE, XPO1, FBXW7) in 8 LC-MBL, 13 HC-MBL and 7 indolent CLL cases and paired PMN samples. Overall similar mutation signatures/frequencies were observed for LC/HC-MBL and CLL concerning i) the entire genome; with an average of 2040 somatic mutations observed for LC-MBL, 2558 for HC-MBL and 2400 for CLL (186 for PMN samples), as well as ii) in the exome; with an average of non-synonymous mutations of 8.9 for LC-MBL, 14.6 for HC-MBL, 11.6 for indolent CLL (0.9 for PMN samples). Regarding putative CLL driver genes, WGS analysis revealed only 2 somatic mutations within NOTCH1, and FBXW7 in one HC-MBL case each. After stringent filtering, 106 non-coding variants (NCVs) of potential relevance to CLL were identified in all MBL/CLL samples and 4 NCVs in 2/24 PMN samples. Seventy-two of 110 NCVs (65.5%) caused a potential breaking event in transcription factor binding motifs (TFBM). Of these, 29 concerned cancer-associated genes, including BTG2, BCL6 and BIRC3 (4, 2 and 2 samples, respectively), while 16 concerned genes implicated in pathways critical for CLL e.g. the NF-κB and spliceosome pathways. Shared mutations between MBL/CLL and their paired PMN samples were identified in all cases: 2 mutations were located within exons, whereas an average of 15.8 mutations/case for LC-MBL, 8.2 for HC-MBL and 9 for CLL, respectively, concerned the non-coding part. Finally, 16 sCNAs were identified in 9 MBL/CLL samples; of the Döhner model aberrations, only del(13q) was detected in 7/9 cases bearing sCNAs (2 LC-MBL, 3 HC-MBL, 2 indolent CLL). Targeted deep-sequencing analysis (coverage 3000x) confirmed the 2 variants detected by WGS, i.e. in NOTCH1 (n=1) and FBXW7 (n=1), while 4 subclonal likely damaging variants were detected with a VAF <10% in POT1 (n=2), TP53 (n=1), and SF3B1 (n=1) in 4 HC-MBL samples. In conclusion, LC-MBL and CLL with stable lymphocytosis for >10 years display similar low genomic complexity and absence of exonic driver mutations, assessed both with WGS and deep-sequencing, underscoring their common low propensity to progress. On the other hand, HC-MBL comprising cases that may ultimately evolve into clinically relevant CLL can acquire exonic driver mutations associated with more dismal prognosis, as exemplified by subclonal driver mutations detected by deep-sequenicng. The existence of NCVs in TFBMs targeting pathways critical for CLL prompts further investigation into their actual relevance to the clinical behavior. Shared mutations between CLL and PMN cells indicate that some somatic mutations may occur before CLL onset, likely at the hematopoietic stem-cell level. Their potential oncogenic role likely depends on the cellular context and/or microenvironmental stimuli to which the affected cells are exposed. Disclosures Stamatopoulos: Novartis: Honoraria, Research Funding; Janssen: Honoraria, Other: Travel expenses, Research Funding; Gilead: Consultancy, Honoraria, Research Funding; Abbvie: Honoraria, Other: Travel expenses. Ghia:Adaptive: Consultancy; Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; Abbvie: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Speakers Bureau; Roche: Honoraria, Research Funding.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3894-3894
Author(s):  
Tatsuya Imi ◽  
Takamasa Katagiri ◽  
Kazuyoshi Hosomichi ◽  
Noriharu Nakagawa ◽  
Yoshitaka Zaimoku ◽  
...  

Abstract [Background] Clonal hematopoiesis is currently known to be common in patients with acquired aplastic anemia (AA). One of the most common abnormalities underlying clonal hematopoiesis in AA patients is copy-number neutral loss of heterozygosity (LOH) in the short of 6 chromosome (6pLOH) caused by acquired uniparental disomy. Hematopoietic stem/progenitor cells (HSPCs) having undergone 6pLOH are thought to evade attack by cytotoxic T lymphocytes (CTLs) specific to auto-antigens by lacking particular HLA-A alleles. These HSPCs then produce HLA class I allele-lacking [HLA(-)] leukocytes to support hematopoiesis in patients with AA patients in remission. Our recent study showed that HLA(-) granulocytes are detected in about 24% of newly-diagnosed AA patients, and the aberrant granulocytes often account for more than 95% of the total granulocytes and persist for many years. The sustainability of 6pLOH(+) HSPC clones suggests that these HSPCs may suffer from secondary somatic mutations that confer a proliferative advantage on them over normal HSPCs. Alternatively, 6pLOH(+) HSPCs may persist and continue to support hematopoiesis according to their inherent sustainability, just like the PIGA mutant HSPCs we previously described (Katagiri et al. Stem Cells, 2013). To test these hypotheses, we determined the sequences of genes associated with the clonal expansion of HSPCs in HLA(-) granulocytes. [Patients and Methods] Eleven AA patients whose percentages of HLA(-) granulocytes ranged 6.4%-99.8% (median 94.2%) of the total granulocyte population were chosen for this study. The patients (male/female, 5/6 and age 27-79 [median 53] years) had been diagnosed with severe (n=5) or non-severe (n=6) AA 2-25 [median 12.5] years earlier, and 7 and 4 patients achieved complete response and partial response, respectively after treatments with cyclosporine (CsA) alone (n=4), CsA+antithymocyte globulin (ATG, n=3), CsA+anabolic steroids (AS, n=2), AS+romiplostim (n=1), and AS alone (n=1). The lineage combinations of HLA(-) cells were granulocyte, monocytes, B cells and T cells (GMBT) in 6, GMB in 4 and GM in 1. HLA(-) and normal [HLA(+)] granulocytes were sorted from the blood leukocytes of the 11 patients and the DNA of each cell population as well as that of buccal mucosa cells was subjected to target sequencing of 61 myelodysplastic syndrome (MDS)-related genes with MiSeq. DNA samples from 5 patients including 4 patients whose HLA(-) cell percentages were greater than 95% were further analyzed by whole-exome sequencing (WES) using HiSeq. The percentage of 6pLOH(+) cells in the total granulocytes or sorted HLA(-) granulocytes were estimated using digital droplet PCR or deep sequencing of HLA alleles. [Results] Target sequencing of 8 of the 11 patients revealed somatic mutations in the HLA(-) granulocytes of 3 patients. HLA(-) granulocytes-specific mutations were found in DNMT3A, PRR5L, SMC3A, and LRCH1 (Table). The variant allele frequencies (VAF) of these mutations were far lower (5.1%-20%) than those of HLA(-) granulocytes that accounted for 95% of sorted cells. WES revealed 22 non-synonymous and 9 synonymous mutations in the HLA(-) granulocytes from 4 of the 5 patientsthat included 3 new patients and 2 patients whose samples were negative for mutations revealed by the target sequencing. The VAF of these mutations ranged from 20.7-52.5% (median 44.1%, Table). Very-high VAFs of several mutant genes suggested that these mutations occurred simultaneously with or soon after the occurrence of 6pLOH. A patient who achieved remission after romiplostim therapy without ATG showed various gene mutations that were thought to have occurred after 6pLOH. Despite of their highly biased hematopoiesis supported by single or few clones, recurrent or MDS-related oncogenic mutations were not detected in any of the 11 patients. Of note, the percentages of 6pLOH(+) cells in the sorted HLA(-) granulocytes were ≤75% (36.7%, 46%, 74%, and 75%) in 4 patients, indicating the presence of granulocytes lacking HLA-A alleles through mechanisms other than 6pLOH. [Conclusions] HLA(-) HSPCs caused by 6pLOH or other unknown mechanisms support long-term hematopoiesis without the development of oncogenic driver mutations that are associated with clonal hematopoiesis of MDS; as such, clonal hematopoiesis by 6pLOH(+) HSPCs may not portend a poor prognosis. Disclosures Nakao: Alexion Pharmaceuticals: Honoraria, Research Funding.


PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242780
Author(s):  
Houriiyah Tegally ◽  
Kevin H. Kensler ◽  
Zahra Mungloo-Dilmohamud ◽  
Anisah W. Ghoorah ◽  
Timothy R. Rebbeck ◽  
...  

As the genomic profile across cancers varies from person to person, patient prognosis and treatment may differ based on the mutational signature of each tumour. Thus, it is critical to understand genomic drivers of cancer and identify potential mutational commonalities across tumors originating at diverse anatomical sites. Large-scale cancer genomics initiatives, such as TCGA, ICGC and GENIE have enabled the analysis of thousands of tumour genomes. Our goal was to identify new cancer-causing mutations that may be common across tumour sites using mutational and gene expression profiles. Genomic and transcriptomic data from breast, ovarian, and prostate cancers were aggregated and analysed using differential gene expression methods to identify the effect of specific mutations on the expression of multiple genes. Mutated genes associated with the most differentially expressed genes were considered to be novel candidates for driver mutations, and were validated through literature mining, pathway analysis and clinical data investigation. Our driver selection method successfully identified 116 probable novel cancer-causing genes, with 4 discovered in patients having no alterations in any known driver genes: MXRA5, OBSCN, RYR1, and TG. The candidate genes previously not officially classified as cancer-causing showed enrichment in cancer pathways and in cancer diseases. They also matched expectations pertaining to properties of cancer genes, for instance, showing larger gene and protein lengths, and having mutation patterns suggesting oncogenic or tumor suppressor properties. Our approach allows for the identification of novel putative driver genes that are common across cancer sites using an unbiased approach without any a priori knowledge on pathways or gene interactions and is therefore an agnostic approach to the identification of putative common driver genes acting at multiple cancer sites.


Blood ◽  
2018 ◽  
Vol 131 (4) ◽  
pp. 408-416 ◽  
Author(s):  
Jun Xia ◽  
Christopher A. Miller ◽  
Jack Baty ◽  
Amrita Ramesh ◽  
Matthew R. M. Jotte ◽  
...  

Key Points Hematopoietic stem/progenitor mutation burden is not increased in SCN. Clonal hematopoiesis due to mutations of TP53 is present in the majority of patients with SDS.


Sign in / Sign up

Export Citation Format

Share Document