Accumulation Of Somatic Mutations Research Articles

Somatic Mutations within Myocilin due to Aging May Be a Potential Risk Factor for Glaucoma.

Glaucoma is a chronic optic neuropathy that leads to irreversible vision loss. Aging and family history are the two most important risk factors of glaucoma. One of the most studied genes involved in the onset of open-angle glaucoma is myocilin (MYOC). About 105 germline mutations within MYOC are known to be associated with glaucoma and result in endoplasmic reticulum (ER) stress, which leads to trabecular meshwork (TM) cell death and subsequent intraocular pressure (IOP) elevation. However, only about 4% of the population carry these mutations. An analysis of MYOC somatic cancer-associated mutations revealed a notable overlap with pathogenic glaucoma variants. Because TM cells have the potential to accumulate somatic mutations at a rapid rate due to ultraviolet (UV) light exposure, we propose that an accumulation of somatic mutations within MYOC is an important contributor to the onset of glaucoma.

On the distribution and diversity of tissue-specific somatic mutations in honey bee (Apis mellifera) drones

Somatic mutations originate from both exogenous (e.g. UV radiation, chemical agents) and endogenous (e.g., DNA replication, defective DNA repair) sources and can have significant impacts on an animal’s reproductive success. This may be especially true for haploid organisms that are susceptible to any deleterious alleles inherited from their parent and any that arise over their lifetime. Unfortunately, little is known about the rate of somatic mutation accumulation across individuals and tissues of haplodiploid animal populations, the functional processes through which they arise, and their distribution across tissues and the genome. Here, we generated short-read whole-genome sequencing data for four tissues of haploid honey bee males. We paired this with estimates of telomere length and tissue-specific DNA content to address three major questions: is there variance in somatic mutational load across haploid individuals and specific tissues therein, does increased DNA content in a tissue contribute to somatic mutational load, and does telomere length correlate with mutational load? Our results suggest that variance in somatic mutational load is better captured across individuals than across tissues, that tissue-specific DNA content is not associated with somatic mutation load, and that variance in telomere length does not correlate with somatic mutation loads across tissues. To our knowledge, this is the first observational study on somatic mutational load in Apoidea and likely Hymenoptera. It serves as a useful advent for additional studies understanding the processes through which haploids tolerate or repair somatic mutations.

Measures of genetic diversification in somatic tissues at bulk and single-cell resolution

Intra-tissue genetic heterogeneity is universal to both healthy and cancerous tissues. It emerges from the stochastic accumulation of somatic mutations throughout development and homeostasis. By combining population genetics theory and genomic information, genetic heterogeneity can be exploited to infer tissue organization and dynamics in vivo. However, many basic quantities, for example the dynamics of tissue-specific stem cells remain difficult to quantify precisely. Here, we show that single-cell and bulk sequencing data inform on different aspects of the underlying stochastic processes. Bulk-derived variant allele frequency spectra (VAF) show transitions from growing to constant stem cell populations with age in samples of healthy esophagus epithelium. Single-cell mutational burden distributions allow a sample size independent measure of mutation and proliferation rates. Mutation rates in adult hematopietic stem cells are higher compared to inferences during development, suggesting additional proliferation-independent effects. Furthermore, single-cell derived VAF spectra contain information on the number of tissue-specific stem cells. In hematopiesis, we find approximately 2 × 105 HSCs, if all stem cells divide symmetrically. However, the single-cell mutational burden distribution is over-dispersed compared to a model of Poisson distributed random mutations. A time-associated model of mutation accumulation with a constant rate alone cannot generate such a pattern. At least one additional source of stochasticity would be needed. Possible candidates for these processes may be occasional bursts of stem cell divisions, potentially in response to injury, or non-constant mutation rates either through environmental exposures or cell-intrinsic variation.

Measures of genetic diversification in somatic tissues at bulk and single-cell resolution.

Intra-tissue genetic heterogeneity is universal to both healthy and cancerous tissues. It emerges from the stochastic accumulation of somatic mutations throughout development and homeostasis. By combining population genetics theory and genomic information, genetic heterogeneity can be exploited to infer tissue organization and dynamics in vivo. However, many basic quantities, for example the dynamics of tissue-specific stem cells remain difficult to quantify precisely. Here, we show that single-cell and bulk sequencing data inform on different aspects of the underlying stochastic processes. Bulk-derived variant allele frequency spectra (VAF) show transitions from growing to constant stem cell populations with age in samples of healthy esophagus epithelium. Single-cell mutational burden distributions allow a sample size independent measure of mutation and proliferation rates. Mutation rates in adult hematopietic stem cells are higher compared to inferences during development, suggesting additional proliferation-independent effects. Furthermore, single-cell derived VAF spectra contain information on the number of tissue-specific stem cells. In hematopiesis, we find approximately 2 × 105 HSCs, if all stem cells divide symmetrically. However, the single-cell mutational burden distribution is over-dispersed compared to a model of Poisson distributed random mutations. A time-associated model of mutation accumulation with a constant rate alone cannot generate such a pattern. At least one additional source of stochasticity would be needed. Possible candidates for these processes may be occasional bursts of stem cell divisions, potentially in response to injury, or non-constant mutation rates either through environmental exposures or cell-intrinsic variation.

PLACENTAL MUTATIONAL BURDEN NEGATIVELY CORRELATES WITH GESTATIONAL AGE IN EARLY-ONSET PREECLAMPSIA

Abstract The placenta exists in a hypoxic environment during early pregnancy, making it susceptible to somatic genetic mutations caused by oxidative stress and rapid cell proliferation. Oxidative stress is one of the leading factors involved in cellular aging causing genetic mutations, cellular senescence, and mitochondria dysfunction over time. While it has been demonstrated that healthy placentas accumulate somatic mutations as they develop, we hypothesize that diseased placentas display an accelerated aging phenotype through the accumulation of somatic mutations. To address this, we analyzed RNA-seq data from 84 human placentas throughout gestation from healthy (N=33) and preeclamptic pregnancies (N=51). We identified rare single nucleotide variants, insertions and deletions using GATK Best practices Workflow for RNA-seq short variant discovery using bcbio-nextgen and annotated with VEP and LOFTEE. Mutational burden, defined as the total number of rare mutations per megabase, was calculated after strict quality control and filtering for rare (gnomADg< 0.05) variants using maftools in R. Linear regression models were employed to determine the association between mutational burden and gestational age. Differences in mean values were computed with a pairwise t-test . This study revealed that mutational burden in early-onset preeclampsia placentas is negatively correlated to gestational age (R^2=0.256; p-value=0.032). The early-onset preeclampsia group had a higher mutational burden relative to the other groups (p-value< 0.05). This study revealed a significant correlation of mutational burden with gestational age in early-onset preeclampsia, paving the way for additional investigation of accelerated aging in placentas and its contribution to the development of preeclampsia.

MaxCLK: discovery of cancer driver genes via maximal clique and information entropy of modules.

Cancer is caused by the accumulation of somatic mutations in multiple pathways, in which driver mutations are typically of the properties of high coverage and high exclusivity in patients. Identifying cancer driver genes has a pivotal role in understanding the mechanisms of oncogenesis and treatment. Here, we introduced MaxCLK, an algorithm for identifying cancer driver genes, which was developed by an integrated analysis of somatic mutation data and protein-protein interaction (PPI) networks and further improved by an information entropy index. Tested on pancancer and single cancers, MaxCLK outperformed other existing methods with higher accuracy. About pancancer, we predicted 154 driver genes and 787 driver modules. The analysis of co-occurrence and exclusivity between modules and pathways reveals the correlation of their combinations. Overall, our study has deepened the understanding of driver mechanism in PPI topology and found novel driver genes. The source codes for MaxCLK are freely available at https://github.com/ShandongUniversityMasterMa/MaxCLK-main.

Somatic Mutations and DNA Hypermethylation at Enhancers and Promoters Identify Distinct Subtypes within Lower-Risk Myelodysplastic Syndromes

Myelodysplastic syndromes (MDS) are a group of heterogeneous disorders caused by the accumulation of somatic mutations in the hematopoietic stem and progenitor compartment. Besides del(5q), SF3B1 or TP53 mutations, referred to as defining genetic abnormalities, mutation patterning hardly structured the classification of MDS. Mutations in epigenetic factors occur early in the development of clonal hematopoiesis leading to precocious alterations of DNA methylation implicated in oncogenesis. Convergent DNA methylation patterns related to both mutations and microenvironment imprinting may induce specific gene expression profiles and contribute to phenotypic variations. To refine a pathophysiological classification of lower-risk MDS, we combined genetic profiling to DNA methylation and transcriptome data. Methods: We enrolled 543 lower-risk treatment-naïve MDS patients at diagnosis and performed DNA-sequencing of 24 genes. DNA methylation and RNA-sequencing data were generated in a representative subset of 175 cases with available material (75 MDS-SLD/MLD, 40 MDS-EB1, 53 MDS-RS-SLD/MLD, 5 MDS del(5q), 2 MDS-U) and 7 age-matched healthy controls. IPSS-R was very low, low or intermediate in 87.4%. During a median follow-up of 2 years, 16% of MDS cases progressed to AML (MDSp). Infinium EPIC 850K array allowed after filtering the examination of methylation of 723,612 CpG sites with enrichment at enhancers and promoters. Differentially methylated regions with differentially methylated CpG sites (DMR-CpG) between cases and controls were defined with a minimum of 2 probes, a Benjamini-Hochberg-adjusted P-value cut-off of 0.05, a false discovery rate of 0.001 and a mean Δβ-value >20% at CpG sites. Consensus motifs for transcription factors were identified using Homer. Results: Unsupervised clustering on genetic profiling of 543 patients identified distinct subsets of lower-risk MDS with different clinical features: one cluster (group A) was enriched in del(5q), three clusters were characterized by SF3B1 mutations, either isolated (group B) or associated with DNMT3A (group E) or TET2 (group F), while the two remaining clusters were enriched in either complex pattern of mutations (group C) or SRSF2 mutations (group D). Genetic clusters showed significantly different clinical outcomes, clusters C, D and E having lower overall survival and higher risk of progression to high risk MDS or AML compared to other clusters. In the subset of 175 cases, a total of 2,953 unique DMR-CpGs allowed a robust repartition of patient samples in 4 groups using the k-means method. The 4 methylation groups were clinically distinct in terms of age, hemoglobin, neutrophils, monocytes, platelets, BM blasts, WHO classification, IPSS-R, and mutation pattern. A significant correlation was found between genetic and methylation groups ( P<0.001). Hypomethylated CpGs defined group 4 which was enriched in MDS-RSwith low blast count and few co-mutations, while groups 1 and 3 demonstrated hypermethylated profiles driven by TET2/ IDH1-2 mutations and TET2/ SRSF2 mutations, respectively. TET2-mutated cases exhibited an increased proportion of hypermethylated DMR-CpGs at enhancers (DME) significantly enriched in C/EBP and ETS family transcription factor motifs. In MDS without evidence of progression, we identified 1,418 DME and their gene targets of which those significantly deregulated in RNA-seq were involved in the control of translation and response to TGF-β. By contrast, in MDS with rapid progression to AML, DMR-CpGs were significantly enriched at CpG islands and promoters ( P<0.0001) and a set of 10-20 genes downstream of these promoters were specifically deregulated. Conclusion: Somatic mutations and DNA methylation at enhancers and promoters identify distinct subsets of lower-risk MDS with different clinical behavior. Hypermethylation at enhancers with C/EBP or ETS family motifs is a hallmark of MDS and may account for changes in transcription factor recruitment and cell fate. Hypermethylation of promoters with downstream effects on gene expression may indicate a propensity to rapid evolution to AML.

Inflammatory Signaling Mediated By Gasdermin D Underlies Tet2-Mutant Clonal Hematopoiesis-Associated Tissue Dysfunction

Aging is characterized by the progressive accumulation of somatic mutations. Acquisition of certain somatic mutations in hematopoietic stem cells (HSCs) confers on them a fitness advantage enabling them to outcompete other HSCs by clonal expansion in a phenomenon called clonal hematopoiesis (CH). CH is associated with a 40% increase in all-cause mortality linked to elevated risk for aging-associated morbidities such as cardiovascular disease (CVD), chronic kidney disease, COPD, and chronic liver disease. However, the mechanism by which CH exerts its adverse effects on disparate tissues is poorly understood. Here, we use CH-associated cardiac dysfunction as a paradigm to uncover general principles by which CH leads to the decline of tissue function. CH was modeled in mice by transplanting whole bone marrow (WBM) cells deficient for Tet2, a frequently mutated CH gene, into irradiated WT mice. We observed an elevated incidence of atrial fibrillation (AF) in Tet2 -/- WBM recipients relative to WT WBM recipients without any surgical or dietary intervention (Fig. A). The Tet2 -/- WBM recipients also had reduced left ventricular ejection fraction (LVEF), an indicator of heart failure. Mice exhibiting elevated incidence of AF and reduced LVEF are defined as having cardiac dysfunction. In addition, we observed that Tet2 -/- WBM recipients had increased systemic inflammation compared to controls, as evidenced by elevated levels of proinflammatory cytokines in the serum. Furthermore, their cardiac tissue exhibited upregulation of the inflammasome signaling pathway including the activation of Gasdermin D, the effector of pyroptotic cell death. Inflammation in the cardiac tissue was concomitantly associated with increased cardiac fibrosis in Tet2 -/- WBM recipients. Since inflammation is a known driver of CVD, we hypothesized that abrogating Gasdermin D-mediated inflammatory signaling could ameliorate CH-induced cardiac dysfunction. Indeed, Gsdmd -/- recipient mice were protected from cardiac dysfunction upon transplantation with Tet2 -/-WBM cells (Fig. A). Importantly, expansion of mutant hematopoietic cells was also mitigated in the absence of GSDMD: transplantation of Tet2 -/- WBM cells along with either WT or Gsdmd -/- WBM cells revealed that GSDMD deficiency restrained the rate of clonal expansion of Tet2 -/- cells (Fig. B). This suggests that instead of being mere bystanders, WT cells in the environment may play an active role in regulating the rate of mutant cell expansion via intercellular communication mediated by GSDMD. Identification of proinflammatory factors mediating clonal expansion and cardiac dysfunction is of significant interest for potential therapeutic intervention. Thus, we sought to determine factors that were upregulated in CH mouse models while being downregulated in Gsdmd -/- mice. Luminex multiplexed assay enabled us to identify several understudied proinflammatory cytokines present in serum satisfying the above criteria. In addition to elevated levels in the serum, some of these cytokines were upregulated in the cardiac tissue of Tet2 -/- WBM recipient mice but not in WT WBM recipients. Furthermore, some are reported to induce inflammasome signaling. CH, even in the absence of known drivers, is associated with higher CVD-associated mortality, suggesting the existence of pathways common to multiple forms of CH; systemic inflammation is one potential common mechanism. We tested whether aged WT WBM, which has low levels of mutant clone expansion but exhibits several features of CH, could cause cardiac dysfunction. We transplanted either aged or young WT WBM into young WT recipients and found that the aged WT WBM recipients exhibited elevated AF and reduced LVEF. These data suggest that aging-associated systemic inflammation may be sufficient for cardiac dysfunction. Importantly, one of the cytokines we uncovered was also upregulated in aged WT mice and has been associated with inflammation and fibrosis in multiple tissues. This cytokine is being further investigated as a top candidate for therapeutic intervention since it is a common feature of CH with and without identified drivers. Overall, our findings demonstrate the critical role of Gasdermin D-mediated inflammatory signaling in the pathogenesis of Tet2-mutant CH-induced cardiac dysfunction. We have also uncovered a cytokine that has emerged as a promising therapeutic target for CH-associated pathologies.

Integrating somatic mutation profiles with structural deep clustering network for metabolic stratification in pancreatic cancer: a comprehensive analysis of prognostic and genomic landscapes.

Pancreatic cancer is a globally recognized highly aggressive malignancy, posing a significant threat to human health and characterized by pronounced heterogeneity. In recent years, researchers have uncovered that the development and progression of cancer are often attributed to the accumulation of somatic mutations within cells. However, cancer somatic mutation data exhibit characteristics such as high dimensionality and sparsity, which pose new challenges in utilizing these data effectively. In this study, we propagated the discrete somatic mutation data of pancreatic cancer through a network propagation model based on protein-protein interaction networks. This resulted in smoothed somatic mutation profile data that incorporate protein network information. Based on this smoothed mutation profile data, we obtained the activity levels of different metabolic pathways in pancreatic cancer patients. Subsequently, using the activity levels of various metabolic pathways in cancer patients, we employed a deep clustering algorithm to establish biologically and clinically relevant metabolic subtypes of pancreatic cancer. Our study holds scientific significance in classifying pancreatic cancer based on somatic mutation data and may provide a crucial theoretical basis for the diagnosis and immunotherapy of pancreatic cancer patients.

Molecular Biology and Clinical Management of Esophageal Adenocarcinoma.

Esophageal adenocarcinoma (EAC) is a highly lethal malignancy. Due to its rising incidence, EAC has become a severe health challenge in Western countries. Current treatment strategies are mainly chosen based on disease stage and clinical features, whereas the biological background is hardly considered. In this study, we performed a comprehensive review of existing studies and discussed how etiology, genetics and epigenetic characteristics, together with the tumor microenvironment, contribute to the malignant behavior and dismal prognosis of EAC. During the development of EAC, several intestinal-type proteins and signaling cascades are induced. The anti-inflammatory and immunosuppressive microenvironment is associated with poor survival. The accumulation of somatic mutations at the early phase and chromosomal structural rearrangements at relatively later time points contribute to the dynamic and heterogeneous genetic landscape of EAC. EAC is also characterized by frequent DNA methylation and dysregulation of microRNAs. We summarize the findings of dysregulations of specific cytokines, chemokines and immune cells in the tumor microenvironment and conclude that DNA methylation and microRNAs vary with each different phase of BE, LGD, HGD, early EAC and invasive EAC. Furthermore, we discuss the suitability of the currently employed therapies in the clinic and possible new therapies in the future. The development of targeted and immune therapies has been hampered by the heterogeneous genetic characteristics of EAC. In view of this, the up-to-date knowledge revealed by this work is absolutely important for future EAC studies and the discovery of new therapeutics.

MODL-38. DEFINING THE ROLE OF DAAM2 R414W MUTATION IN GLIOMAGENESIS AND GBM GROWTH

Abstract Each year in the United States, more than 13,000 people are diagnosed with glioblastoma multiforme (GBM), and more than 10,000 are estimated to succumb to the disease, making GBM the most common and lethal primary adult brain tumor. Despite advancing therapies, GBM patient survival has not improved over the decades, so it is critical to better understand glioma etiology. The majority of GBM cases arise from a sporadic accumulation of somatic mutations, but approximately 5-10% of gliomas are classified as “familial”, occurring clustered with hereditary cancer predispositions. These familial gliomas are caused by germline mutations inherited from parent to offspring, and only a few of these mutations have been directly linked to the development of GBM. We recently discovered five germline mutations in Daam2 (Dishevelled associated activator of morphogenesis 2) from GBM patients with a history of familial glioma. To examine the role of these mutations in GBM, we overexpressed these mutations in patient-derived GBM cells, which were then orthotopically xenografted into immunodeficient mice. We identified that one of these mutations, Daam2-R414W, promotes tumor cell proliferation both in vitro and in vivo. To further understand the role of the Daam2-R414W mutation in GBM, we generated a knock-in immunocompetent mouse model that harbors the Daam2-R414W mutation. In these mutant mice, we found increased proliferation of glial progenitor cells in the subventricular zone compared to Daam2 wildtype mice, suggesting the potential of the Daam2-R414W mutation to influence glial progenitor expansion to stimulate glioma initiation. Future experiments aim to answer whether this mutation promotes GBM growth in an immunocompetent model and to decipher the mechanism relating the Daam2-R414W mutation to GBM pathology. These studies will shed light on the repercussions of a human developmental gene variant and its potential to disrupt normal cellular machinery to promote malignancy and GBM development.

Evaluation of tissue- and plasma-derived tumor mutational burden (TMB) and genomic alterations of interest in CheckMate 848, a study of nivolumab combined with ipilimumab and nivolumab alone in patients with advanced or metastatic solid tumors with high TMB

BackgroundAn accumulation of somatic mutations in tumors leads to increased neoantigen levels and antitumor immune response. Tumor mutational burden (TMB) reflects the rate of somatic mutations in the tumor genome,...

The Role of Clonal Hematopoiesis of Indeterminant Potential and DNA (Cytosine-5)-Methyltransferase Dysregulation in Pulmonary Arterial Hypertension and Other Cardiovascular Diseases.

DNA methylation is an epigenetic mechanism that regulates gene expression without altering gene sequences in health and disease. DNA methyltransferases (DNMTs) are enzymes responsible for DNA methylation, and their dysregulation is both a pathogenic mechanism of disease and a therapeutic target. DNMTs change gene expression by methylating CpG islands within exonic and intergenic DNA regions, which typically reduces gene transcription. Initially, mutations in the DNMT genes and pathologic DNMT protein expression were found to cause hematologic diseases, like myeloproliferative disease and acute myeloid leukemia, but recently they have been shown to promote cardiovascular diseases, including coronary artery disease and pulmonary hypertension. We reviewed the regulation and functions of DNMTs, with an emphasis on somatic mutations in DNMT3A, a common cause of clonal hematopoiesis of indeterminant potential (CHIP) that may also be involved in the development of pulmonary arterial hypertension (PAH). Accumulation of somatic mutations in DNMT3A and other CHIP genes in hematopoietic cells and cardiovascular tissues creates an inflammatory environment that promotes cardiopulmonary diseases, even in the absence of hematologic disease. This review summarized the current understanding of the roles of DNMTs in maintenance and de novo methylation that contribute to the pathogenesis of cardiovascular diseases, including PAH.

Epigenetic roles in clonal hematopoiesis and aging kidney-related chronic kidney disease.

Accumulation of somatic hematopoietic stem cell mutations with aging has been revealed by the recent genome-wide analysis. Clonal expansion, known as clonal hematopoiesis of indeterminate potential (CHIP), is a premalignant condition of hematological cancers. It is defined as the absence of definitive morphological evidence of a hematological neoplasm and occurrence of ≥2% of mutant allele fraction in the peripheral blood. In CHIP, the most frequently mutated genes are epigenetic regulators such as DNMT3A, TET2, and ASXL1. CHIP induces inflammation. CHIP is shown to be associated with not only hematological malignancy but also non-malignant disorders such as atherosclerosis, cardiovascular diseases and chronic liver disease. In addition, recent several large clinical trials have shown that CHIP is also the risk factor for developing chronic kidney disease (CKD). In this review article, we proposed novel findings about CHIP and CHIP related kidney disease based on the recent basic and clinical research. The possible mechanism of the kidney injury in CHIP is supposed to be due to the clonal expansion in both myeloid and lymphoid cell lines. In myeloid cell lines, the mutated macrophages increase the inflammatory cytokine level and induce chronic inflammation. It leads to epigenetic downregulation of kidney and macrophage klotho level. In lymphoid cell lines, CHIP might be related to monoclonal gammopathy of renal significance (MGRS). It describes any B cell or plasma cell clonal disorder that does not fulfill the criteria for cancer yet produces a nephrotoxic monoclonal immunoglobulin that leads to kidney injury or disease. MGRS causes M-protein related nephropathy frequently observed among aged CKD patients. It is important to consider the CHIP-related complications such as hematological malignancy, cardiovascular diseases and metabolic disorders in managing the elderly CKD patients. There are no established therapies for CHIP and CHIP-related CKD yet. However, recent studies have supported the development of effective CHIP therapies, such as blocking the expansion of aberrant HSCs and inhibiting chronic inflammation. In addition, drugs targeting the epigenetic regulation of Klotho in the kidney and macrophages might be therapeutic targets of CHIP in the kidney.

Clonal Hematopoiesis of Indeterminate Potential (CHIP) and Incident Type 2 Diabetes Risk.

Clonal hematopoiesis of indeterminate potential (CHIP) is an aging-related accumulation of somatic mutations in hematopoietic stem cells, leading to clonal expansion. CHIP presence has been implicated in atherosclerotic coronary heart disease (CHD) and all-cause mortality, but its association with incident type 2 diabetes (T2D) is unknown. We hypothesized that CHIP is associated with elevated risk of T2D. CHIP was derived from whole-genome sequencing of blood DNA in the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) prospective cohorts. We performed analysis for 17,637 participants from six cohorts, without prior T2D, cardiovascular disease, or cancer. We evaluated baseline CHIP versus no CHIP prevalence with incident T2D, including associations with DNMT3A, TET2, ASXL1, JAK2, and TP53 variants. We estimated multivariable-adjusted hazard ratios (HRs) and 95% CIs with adjustment for age, sex, BMI, smoking, alcohol, education, self-reported race/ethnicity, and combined cohorts' estimates via fixed-effects meta-analysis. Mean (SD) age was 63.4 (11.5) years, 76% were female, and CHIP prevalence was 6.0% (n = 1,055) at baseline. T2D was diagnosed in n = 2,467 over mean follow-up of 9.8 years. Participants with CHIP had 23% (CI 1.04, 1.45) higher risk of T2D than those with no CHIP. Specifically, higher risk was for TET2 (HR 1.48; CI 1.05, 2.08) and ASXL1 (HR 1.76; CI 1.03, 2.99) mutations; DNMT3A was nonsignificant (HR 1.15; CI 0.93, 1.43). Statistical power was limited for JAK2 and TP53 analyses. CHIP was associated with higher incidence of T2D. CHIP mutations located on genes implicated in CHD and mortality were also related to T2D, suggesting shared aging-related pathology.

Quantifying human genome parameters in aging.

Healthy human longevity is a global goal of the world health system. Determining the causes and processes influencing human longevity is the primary fundamental goal facing the scientific community. Currently, the main efforts of the scientific community are aimed at identifying the qualitative characteristics of the genome that determine the trait. At the same time, when evaluating qualitative characteristics, there are many challenges that make it difficult to establish associations. Quantitative traits are burdened with such problems to a lesser extent, but they are largely overlooked in current genomic studies of aging and longevity. Although there is a wide repertoire of quantitative trait analyses based on genomic data, most opportunities are ignored by authors, which, along with the inaccessibility of published data, leads to the loss of this important information. This review focuses on describing quantitative traits important for understanding aging and necessary for analysis in further genomic studies, and recommends the inclusion of the described traits in the analysis. The review considers the relationship between quantitative characteristics of the mitochondrial genome and aging, longevity, and age-related neurodegenerative diseases, such as the frequency of extensive mitochondrial DNA (mtDNA) deletions, mtDNA half-life, the frequency of A>G replacements in the mtDNA heavy chain, the number of mtDNA copies; special attention is paid to the mtDNA methylation sign. A separate section of this review is devoted to the correlation of telomere length parameters with age, as well as the association of telomere length with the amount of mitochondrial DNA. In addition, we consider such a quantitative feature as the rate of accumulation of somatic mutations with aging in relation to the lifespan of living organisms. In general, it may be noted that there are quite serious reasons to suppose that various quantitative characteristics of the genome may be directly or indirectly associated with certain aspects of aging and longevity. At the same time, the available data are clearly insufficient for definitive conclusions and the determination of causal relationships.

The mutational landscape of the adult healthy parous and nulliparous human breast

The accumulation of somatic mutations in healthy human tissues has been extensively characterized, but the mutational landscape of the healthy breast is still poorly understood. Our analysis of whole-genome sequencing shows that in line with other healthy organs, the healthy breast during the reproduction years accumulates mutations with age, with the rate of accumulation in the epithelium of 15.24 ± 5 mutations/year. Both epithelial and stromal compartments contain mutations in breast-specific driver genes, indicative of subsequent positive selection. Parity- and age-associated differences are evident in the mammary epithelium, partly explaining the observed difference in breast cancer risk amongst women of different childbearing age. Parity is associated with an age-dependent increase in the clone size of mutated epithelial cells, suggesting that older first-time mothers have a higher probability of accumulating oncogenic events in the epithelium compared to younger mothers or nulliparous women. In conclusion, we describe the reference genome of the healthy female human breast during reproductive years and provide evidence of how parity affects the genomic landscape of the mammary gland.

Potential immunosuppressive clonal hematopoietic mutations in tumor infiltrating immune cells in breast invasive carcinoma

A hallmark of cancer is a tumor cell’s ability to evade immune destruction. Somatic mutations in tumor cells that prevent immune destruction have been extensively studied. However, somatic mutations in tumor infiltrating immune (TII) cells, to our knowledge, have not been previously studied. Understandably so since normal hematopoiesis prevents the accumulation of somatic mutations in immune cells. However, clonal hematopoiesis does result in the accumulation of somatic mutations in immune cells. These mutations cannot “drive” tumor growth, however, they may “facilitate” it by inhibiting an effective anti-tumor immune response. To identify potential immunosuppressive clonal hematopoietic (CH) mutations in TII cells, we analyzed exome and RNA sequencing data from matched tumor and normal blood samples, and single-cell RNA sequencing data, from breast cancer patients. We selected mutations that were somatic, present in TII cells, clonally expanded, potentially pathogenic, expressed in TII cells, unlikely to be a passenger mutation, and in immune response associated genes. We identified eight potential immunosuppressive CH mutations in TII cells. This work is a first step towards determining if immunosuppressive CH mutations in TII cells can affect the progression of solid tumors. Subsequent experimental confirmation could represent a new paradigm in the etiology of cancer.

Designing of neoepitopes based vaccine against breast cancer using integrated immuno and bioinformatics approach

Cancer is characterized by genetic instability due to accumulation of somatic mutations in the genes which generate neoepitopes (mutated epitopes) for targeting by Cytotoxic T lymphocytes (CTL). Breast cancer has a high transformation rate with unique composition of mutational burden and neoepitopes load that open a platform to designing a neoepitopes-based vaccine. Neoepitopes-based therapeutic cancer vaccines designed by neoantigens have shown to be feasible, nontoxic, and immunogenic in cancer patients. Stimulation of CTL by neoepitope-based vaccine of self-antigenic proteins plays a key role in distinguishing cancer cells from normal cells and selectively targets only malignant cells. A neoepitopes-based vaccine to combat breast cancer was designed by combining immunology and bioinformatics approaches. The vaccine construct was assembled by the fusion of CTL neoepitopes, helper sequences (used for better separation of the epitopes), and adjuvant together with linkers. The neoepitopes were identified from somatic mutations in the MUC16, TP53, RYR2, F5, DNAH17, ASPM, and ABCA13 self-antigenic proteins. The vaccine construct was undertaken to study the immune simulations (IS), physiochemical characteristics (PP), molecular docking (MD) and simulations, and cloning in appropriate vector. Together, these parameters establish safety, stability, and a strong binding affinity against class I MHC molecules capable of inducing a complete immune response against breast cancer cells. Communicated by Ramaswamy H. Sarma

Abstract P2063: Cellular Fusion Drives Polyploidization In Human Cardiomyocytes

Polyploidization is the roadblock to cardiac regeneration. Although endoreplication has been considered to be the main source of polyploidization in cardiomyocytes, recent evidence indicates transient cardiomyocyte fusion and its potential role in cardiac development in zebrafish. To understand polyploidization, it is essential to trace the lineage of cardiomyocytes. The existing lineage method is not suitable for studying the lineage in human heart cardiomyocytes. However, the accumulation of clonal somatic DNA mutation can be traced, and the clonal structure of these somatic mutations can be used for lineage reconstruction of human cardiomyocytes as these non-inherited clonal somatic mutations record the unique history of each somatic cell originating from a zygote and can be used as “endogenous barcodes.” Our analysis of ultra-deep targeted sequencing of ≈500 single cardiomyocyte nuclei using a panel of 253 validated clonal sSNVs revealed that 75.7% of the sequenced cardiomyocytes could be classified into one of the nine clades categorized based on the presence or absence of these mutations. Interestingly, we found that cardiomyocytes can have mutations from more than one clade, indicating the possibilities of cellular fusion in cardiomyocytes. Our results suggest that at least ~10% of tetraploid cardiomyocytes are generated from the fusion mechanism during development, whereas 60% higher ploidy cardiomyocytes are generated from the fusion. Further, we performed ATAC Seq and transcriptome analysis to find out the types of cells that are fused to generate polyploid cardiomyocytes in the human heart. Analysis of the transcriptome and chromatin peaks of tetraploid and higher ploidy cells unraveled a population of cells (cluster 7) that expressed chromatin peaks for endothelial markers (EGFL7) as well as cardiomyocyte-specific markers like TBX5, PLN, etc. Our study demonstrates cellular fusion in the adult human heart and the cell types involved in this fusion event. Understanding the generation of polyploid cardiomyocytes in the human heart might enable us to advance the mechanistic understanding of cardiomyocyte regeneration with the long-term goal of stimulating therapeutic cardiac regeneration.