Purpose: Bone metastasis (BoM) has been closely associated with increased morbidity and poor survival outcomes in patients with non-small cell lung cancer (NSCLC). Given its significant implications, this study aimed to systematically compare the biological characteristics between advanced NSCLC patients with and without BoM. Methods: In this study, the genomic alterations from the tumor tissue DNA of 42 advanced NSCLC patients without BoM and 67 patients with BoM and were analyzed by a next-generation sequencing (NGS) panel. The serum concentrations of 18 heavy metals were detected by inductively coupled plasma emission spectrometry (ICP-MS). Results: A total of 157 somatic mutations across 18 mutated genes and 105 somatic mutations spanning 16 mutant genes were identified in 61 out of 67 (91.05%) patients with BoM and 37 of 42 (88.10%) patients without BoM, respectively. Among these mutated genes, NTRK1, FGFR1, ERBB4, NTRK3, and FGFR2 stood out exclusively in patients with BoM, whereas BRAF, GNAS, and AKT1 manifested solely in those without BoM. Moreover, both co-occurring sets of genes and mutually exclusive sets of genes in patients with BoM were different from those in patients without BoM. In addition, the serum concentrations of Cu and Sr in patients with BoM were significantly higher than in patients without BoM. One of our aims was to explore how these heavy metals associated with BoM interacted with other heavy metals, and significant positive correlations were observed between Cu and Co, between Cu and Cr, between Sr and Ba, and between Sr and Ni in patients with BoM. Given the significant impacts of molecular characteristics on patients\' prognosis, we also observed a noteworthy negative correlation between EGFR mutations and Co, alongside a significant positive correlation between TP53 mutations and Cd. Conclusions: The genomic alterations, somatic interactions, key signaling pathways, functional biological information, and accumulations of serum heavy metals were markedly different between advanced NSCLC patients with and without BoM, and certain heavy metals (e.g., Cu, Sr) might have potentials to identify high-risk patients with BoM.

Huntington disease (HD) is a dominantly inherited neurodegenerative disorder caused by a CAG expansion on the huntingtin (HTT) gene and is characterized by progressive motor, cognitive, and neuropsychiatric decline. Recently, new genetic factors besides CAG repeats have been implicated in the disease pathogenesis. Most genetic modifiers are involved in DNA repair pathways and, as the cause of the loss of CAA interruption in the HTT gene, they exert their main influence through somatic expansion. However, this mechanism might not be the only driver of HD pathogenesis, and future studies are warranted in this field. The aim of the present review is to dissect the many faces of genetics in HD pathogenesis, from cis- and trans-acting genetic modifiers to RNA toxicity, mitochondrial DNA mutations, and epigenetics factors. Exploring genetic modifiers of HD onset and progression appears crucial to elucidate not only disease pathogenesis, but also to improve disease prediction and prevention, develop biomarkers of disease progression and response to therapies, and recognize new therapeutic opportunities. Since the same genetic mechanisms are also described in other repeat expansion diseases, their implications might encompass the whole spectrum of these disorders.

Somatic mutations in non-malignant tissues are selected for because they confer increased clonal fitness. However, it is uncertain whether these clones can benefit organ health. Here, ultra-deep targeted sequencing of 150 liver samples from 30 chronic liver disease patients revealed recurrent somatic mutations. PKD1 mutations were observed in 30% of patients, whereas they were only detected in 1.3% of hepatocellular carcinomas (HCCs). To interrogate tumor suppressor functionality, we perturbed PKD1 in two HCC cell lines and six in vivo models, in some cases showing that PKD1 loss protected against HCC, but in most cases showing no impact. However, Pkd1 haploinsufficiency accelerated regeneration after partial hepatectomy. We tested Pkd1 in fatty liver disease, showing that Pkd1 loss was protective against steatosis and glucose intolerance. Mechanistically, Pkd1 loss selectively increased mTOR signaling without SREBP-1c activation. In summary, PKD1 mutations exert adaptive functionality on the organ level without increasing transformation risk.

The mutation rate is a pivotal biological characteristic, intricately governed by natural selection and historically garnering considerable attention. Recent advances in high-throughput sequencing and analytical methodologies have profoundly transformed our understanding in this domain, ushering in an unprecedented era of mutation rate research. This paper aims to provide a comprehensive overview of the key concepts and methodologies frequently employed in the study of mutation rates. It examines various types of mutations, explores the evolutionary dynamics and associated theories, and synthesizes both classical and contemporary hypotheses. Furthermore, this review comprehensively explores recent advances in understanding germline and somatic mutations in animals and offers an overview of experimental methodologies, mutational patterns, molecular mechanisms, and driving forces influencing variations in mutation rates across species and tissues. Finally, it proposes several potential research directions and pressing questions for future investigations.
突变率是生命演化过程中的一个重要参数。它受到自然选的择精细调控，因此在演化生物学的研究历史上备受关注。近年来，随着高通量测序的发展和突变分析方法的进步，我们对突变率的理解有了显著地加深，突变的研究进入了一个前所未有的新时代。该文总结和讨论了突变研究中常见的演化生物学概念和经典的理论方法：我们首先详细介绍了突变的类型；之后，在此基础上探索前人提出的与演化动力学相关的理论模型；最后对经典假说与当代理论进行深入探讨和比较。此外，该文全面总结了动物生殖细胞和体细胞突变的最新进展：我们概述了这些研究过程中使用的实验方法、突变模式、突变的分子机制以及影响突变率变化的因素，并探讨了物种间和相同个体不同组织间突变率的差异。最终，我们概述了突变研究中未来潜在的研究方向和亟待解决的科学问题。.

Telomerase reverse transcriptase (TERT) and β-catenin (CTNNB1) mutations may occur following the hepatocellular carcinoma (HCC) pathway signal. We conducted a Hierarchical cluster analysis study on 408 patients diagnosed with HCC by pathological surgery, identifying TERT promoter and CTNNB1 exon 3 mutations by sequencing. The overall preclinical characteristics, cumulative cut-point values, and the factors associated with these somatic mutations were analyzed in uni/multidimensional scaling model. HBV(+) HCV(-) HCC male patients who were older than 62.74 years old and have TERT promoter mutation as well as AFP > 489.78 ng/ml got a higher risk of HCC grade more than two from 27 % to 200 % with p < 0.05 (RR are from 1.27 [1.09-1.47] to 3.06 [2.04-4.61]). This mutation was a good indicator of grade 2 risk (HR = 0.37 [2.72-0.16], β = -1.00, p = 0.019). TERT promoter and CTNNB1 exon 3 mutations independently influenced tumor size and tumor site status in grade 3 and HBV(-) HCV (-) male HCC patients, where the hazard rates, respectively, were 0.28 [0.09-0.89], 0.023 [0.0023-0.23] and 0.06 [0.012-0.32] (β < 0 and p < 0.01). These two mutations inversely impacted each other the tumor sites status, especially in male HCC patients with grade 2 without B, C hepatitis virus (RRCTNNB1 exon 3 mutate - TERT promoter wildtype = 1.12 [1.04-1.20], p < 0.05). Consequently, the mutations in TERT promoter and CTNNB1 exon 3 may synchronize with other factors or independently impact the hepatocarcinogenesis and are important indicators for HCC prognostic in male patients with very high AFP levels or with moderately as well as poorly differentiated in tumor. Our results serve as the basis for further studies to understand the impact of different factors on the outcome of HCC, especially in monitoring and assessing the cancer risk of patients infect HBV and carry mutations.

Allogeneic hematopoietic stem cell transplantation (HSCT) remains the only curative option for patients with Myelodysplastic syndromes (MDS). For many years, the selection of patients to allogeneic HSCT has been largely based on use of the International Prognostic Scoring System-Revised (IPSS-R). However, the recent broader application of next generation sequencing in clinical practice provided an abundance of molecular data and led to the introduction of molecular prognostic scores as IPSS-Molecular (IPSS-M). In this paper, we retrospectively analyzed the outcomes of 57 consecutive MDS patients treated with allogeneic HSCT in our center. Re-stratification from IPSS-R to IPSS-M occurred in almost half of patients. The application of IPSS-M to our cohort demonstrated a stronger prognostic separation compared to IPSS-R and improved the C-index. Very high-risk IPSS-M patients showed worse outcomes following HSCT compared to high-risk patients. This study provides data supporting the need of integrating molecular information in the transplant decision making of patients with MDS. This allows an earlier and better identification of patients to whom the transplant should be advised.

Plant architecture is shaped by the production of new organs, most of which emerge post-embryonically. This process includes the formation of new lateral branches along existing shoots. Current evidence supports a detached meristem model as the cellular basis of lateral shoot initiation. In this model, a small number of undifferentiated cells are sampled from the periphery of the shoot apical meristem (SAM) to act as precursors for axillary buds, which eventually develop into new shoots. Repeated branching thus creates cellular bottlenecks (i.e. somatic drift) that affect how de novo (epi)genetic mutations propagate through the plant body during development. Somatic drift could be particularly relevant for stochastic DNA methylation gains and losses (i.e. spontaneous epimutations), as they have been shown to arise rapidly with each cell division. Here, we formalize a special case of the detached meristem model, where precursor cells are randomly sampled from the SAM periphery in a way that maximizes cell lineage independence. We show that somatic drift during repeated branching gives rise to a mixture of cellular phylogenies within the SAM over time. This process is dependent on the number of branch points, the strength of drift as well as the epimutation rate. Our model predicts that cell-to-cell DNA methylation heterogeneity in the SAM converges to non-zero states during development, suggesting that epigenetic variation is an inherent property of the SAM cell population. Our insights have direct implications for empirical studies of somatic (epi)genomic diversity in long-lived perennial and clonal species using bulk or single-cell sequencing approaches.

UNASSIGNED: Childhood cancer predisposition (ChiCaP) syndromes are increasingly recognized as contributing factors to childhood cancer development. Yet, due to variable availability of germline testing, many children with ChiCaP might go undetected today. We report results from the nationwide and prospective ChiCaP study that investigated diagnostic yield and clinical impact of integrating germline whole-genome sequencing (gWGS) with tumor sequencing and systematic phenotyping in children with solid tumors.
UNASSIGNED: gWGS was performed in 309 children at diagnosis of CNS (n = 123, 40%) or extracranial (n = 186, 60%) solid tumors and analyzed for disease-causing variants in 189 known cancer predisposing genes. Tumor sequencing data were available for 74% (227/309) of patients. In addition, a standardized clinical assessment for underlying predisposition was performed in 95% (293/309) of patients.
UNASSIGNED: The prevalence of ChiCaP diagnoses was 11% (35/309), of which 69% (24/35) were unknown at inclusion (diagnostic yield 8%, 24/298). A second-hit and/or relevant mutational signature was observed in 19/21 (90%) tumors with informative data. ChiCaP diagnoses were more prevalent among patients with retinoblastomas (50%, 6/12) and high-grade astrocytomas (37%, 6/16), and in those with non-cancer related features (23%, 20/88), and ≥2 positive ChiCaP criteria (28%, 22/79). ChiCaP diagnoses were autosomal dominant in 80% (28/35) of patients, yet confirmed de novo in 64% (18/28). The 35 ChiCaP findings resulted in tailored surveillance (86%, 30/35) and treatment recommendations (31%, 11/35).
UNASSIGNED: Overall, our results demonstrate that systematic phenotyping, combined with genomics-based diagnostics of ChiCaP in children with solid tumors is feasible in large-scale clinical practice and critically guides personalized care in a sizable proportion of patients.
UNASSIGNED: The study was supported by the Swedish Childhood Cancer Fund and the Ministry of Health and Social Affairs.

Over the past decade, the connection between APOBEC3 cytosine deaminases and cancer mutagenesis has become increasingly apparent. This growing awareness has created a need for biochemical tools that can be used to identify and characterize potential inhibitors of this enzyme family. In response to this challenge, we have developed a Real-time APOBEC3-mediated DNA Deamination assay. This assay offers a single-step set-up and real-time fluorescent read-out, and it is capable of providing insights into enzyme kinetics. The assay also offers a high-sensitivity and easily scalable method for identifying APOBEC3 inhibitors. This assay serves as a crucial addition to the existing APOBEC3 biochemical and cellular toolkit and possesses the versatility to be readily adapted into a high-throughput format for inhibitor discovery.

Multiple myeloma (MM) is the second most common hematological malignancy, which remains incurable despite recent advances in treatment strategies. Like other forms of cancer, MM is characterized by genomic instability, caused by defects in DNA repair. Along with mutations in DNA repair genes and genotoxic drugs used to treat MM, non-canonical secondary DNA structures (four-stranded G-quadruplex structures) can affect accumulation of somatic mutations and chromosomal abnormalities in the tumor cells of MM patients. Here, we tested the hypothesis that G-quadruplex structures may influence the distribution of somatic mutations in the tumor cells of MM patients. We sequenced exomes of normal and tumor cells of 11 MM patients and analyzed the data for the presence of G4 context around points of somatic mutations. To identify molecular mechanisms that could affect mutational profile of tumors, we also analyzed mutational signatures in tumor cells as well as germline mutations for the presence of specific SNPs in DNA repair genes or in genes regulating G-quadruplex unwinding. In several patients, we found that sites of somatic mutations are frequently located in regions with G4 context. This pattern correlated with specific germline variants found in these patients. We discuss the possible implications of these variants for mutation accumulation and specificity in MM and propose that the extent of G4 context enrichment around somatic mutation sites may be a novel metric characterizing mutational processes in tumors.