Identification Of Mutations Research Articles

Tumor organoids improve mutation detection of pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) presents challenges in detecting somatic mutations due to its complex cellular composition. This study investigated the utility of patient-derived organoids (PDOs) to overcome these obstacles and enhance somatic mutation identification. Surgically resected PDAC tumors and their paired PDOs from 21 patients were examined. Whole-exome sequencing (WES) of tumor tissue, organoids, and peripheral blood mononuclear cells was performed to identify somatic mutations. Our findings demonstrate that PDOs retained about 80% of the somatic mutations from the original tumors, showing high concordance in mutation types. PDOs exhibited increased tumor purity and uncovered key driver mutations, aiding in identifying clinically relevant genomic alterations. Moreover, eight cycles of FOLFIRINOX treatment did not significantly alter the mutational landscape at the DNA level, indicating the stability of the mutational profile after therapeutic pressure in patients. In conclusion, PDOs are potentially important tools for exploring the somatic mutational landscape of PDAC. While they can reveal mutations that may be challenging to detect through traditional biopsy sequencing due to the inherently low tumor purity of PDAC, it is important to note that PDOs may not always fully recapitulate all mutations found in primary tumors. Despite this limitation, PDOs can still offer critical insights into the genomic complexities of PDAC, which is crucial for the development of personalized vaccines and therapies for this disease.

Distributed parameter model of dynamic contrast-enhanced MRI in the identification of IDH mutation, 1p19q codeletion, and tumor cell proliferation in glioma patients

ObjectivesTo investigate the clinical value of hemodynamic parameters derived from dynamic contrast-enhanced MRI (DCE-MRI) in predicting glioma genotypes including isocitrate dehydrogenase (IDH) mutation, 1p/19q codeletion status and the tumor proliferation index (Ki-67) noninvasively. And to compare the diagnostic performance of parameters of distributed parameter (DP)model and extended Tofts (Ex-Tofts) model.Materials and methodsDynamic contrast-enhanced MRI (DCE-MRI) data of patients with glioma were prospectively enrolled from April 2021 to May 2023. The imaging data were analyzed using DP and Ex-Tofts model for evaluating the perfusion and permeability characteristics of glioma. Comparisons were performed according to IDH genotype in all glioma patients and 1p/19q codeletion in IDH mutation glioma patients. Receiver operating characteristic (ROC) curves were generated for DCE-MRI parameters. The Spearman rank correlation coefficients were calculated between DCE MRI parameters and Ki-67 index.ResultsIn IDH-mutation gliomas, a higher blood flow (F) was found in 1p/19q codeletion gliomas than in 1p/19q intact gliomas. No parameter derived from Ex-Tofts model showed significant differences in predicting 1p/19q status. Fractional volume of interstitial space (Ve) derived from both the DP and Ex-Tofts models exhibited optimal performance in predicting IDH genotype (AUC = 0.818, 0.828, respectively). Ve also showed the highest correlations with Ki-67 LI within their respective models in all gliomas (ρ = 0.62, 0.61), indicating comparable moderate positive associations. Ki-67ConclusionDP model showed a clear advantage in predicting 1p/19q status compared to Ex-Tofts model. The DP and Ex-Tofts models performed similarly in predicting IDH mutation and Ki-67 index.

Update on the treatment of BRAFmut metastatic melanoma and future perspectives

Abstractv‐Raf murine sarcoma viral oncogene homolog B (BRAF) mutations were first identified in melanoma in 2002, leading to increased cell division and proliferation, and resultant tumour growth. The identification and characterisation of BRAF mutations (BRAFmut) led to the development of several highly specific, BRAF‐, then mitogen‐activated kinase enzyme (MEK)‐targeted therapies that have enabled rapid tumour responses and improved treatment outcomes in most patients with metastatic BRAFmut melanoma. The combination of these two drug classes (BRAF inhibitors and MEK inhibitors) has demonstrated improved response rates, progression‐free survival, and overall survival (OS), along with a more tolerable safety profile, compared with BRAF inhibition alone. In parallel, improved knowledge of the immune system has enabled the development of immune checkpoint inhibitors (ICIs), although immune‐related adverse events with ICIs may prove to be problematic in some patients and require careful management. While targeted therapy appears to provide rapid disease control in a relatively high proportion of patients, the development of secondary resistance may limit the overall duration of responses. Acquired resistance, along with primary resistance, has also been reported for ICIs, with a lower overall response rate to that with targeted therapy, although durable responses have been reported in some responding patients. A combination strategy of targeted therapy with ICIs has demonstrated modest increases in efficacy compared with targeted therapy combinations, although data significance varies across studies, there is increased risk of toxicity, and triple combination therapy has not yet received clinical approval in Europe. Thus, there is an ongoing need to establish optimal sequencing of these treatments in patients with advanced BRAFmut melanoma, and this has become the focus of current research. The aim of this narrative review was to provide an update on the treatment of BRAFmut metastatic melanoma, current guideline recommendations, and future clinical perspectives.

Higher risk of recurrence in early-stage breast cancer patients with increased levels of ribosomal protein S6

PI3K/AKT/mTOR pathway is implicated in breast cancer progression and recurrence. The identification of PIK3CA and AKT1 mutations and loss of PTEN serve as selection criterion for targeted therapies involving selective inhibitors. However, they do not consistently align with pathway activation, and high-cost determinations limit their routine application. PI3K-downstream epigenetic regulatory mechanisms broaden the alterations that amplify pathway activity and, consequently, sensitivity to selective inhibitors. In this retrospective observational study, conducted within a cohort of early-stage breast cancer patients, we determined phosphorylated ribosomal protein S6 (pS6) at Ser240/244 by immunohistochemistry as an indicator of PI3K pathway activation. Log-Rank test and Cox proportional hazards regression were used to analyze the clinical relevance of pS6, alone and together with clinicopathological variables, regarding recurrence-free survival. ROC curves and the area under the curves were used to evaluate the calibration and discrimination properties of uni- and multivariate models. Our results show that a high percentage of pS6 positive tumor cells was associated with an unfavorable prognosis in a cohort of 129 hormone receptor positive/HER2 negative breast cancer patients (Hazard Ratio = 5.92; Log-Rank p = 9.5e-08; median follow-up = 53 months). When assessed in combination with lymph node status, the predictive capacity was higher compared to both univariate models individually. In conclusion, pS6 could represent a novel independent marker for predicting recurrence risk in luminal breast cancer.

Genome sequencing in the management of myelodysplastic syndromes and related disorders.

Myeloid neoplasms originate from the clonal proliferation of hematopoietic stem cells, which is driven by the acquisition of somatic genetic mutations. Within these disorders, myelodysplastic syndromes (MDS) are specifically characterized by morphologic abnormalities (dysplasia) and impaired maturation of myeloid precursors (ineffective hematopoiesis), resulting in peripheral blood cytopenia. Several studies have advanced the field of MDS, with a few landmark papers leading to a paradigm shift, opening new avenues of research and enabling a molecular revolution. These seminal papers include the first description of the 5q- syndrome, the identification of somatic mutations of TET2 in myeloid neoplasms, the detection of common pathway mutations in the splicing machinery, and the discovery of clonal hematopoiesis. The somatic genomic landscape of MDS is now well-defined. Genes that are recurrently mutated include epigenetic regulators, as well as genes of RNA splicing machinery, transcription regulation, DNA repair control, cohesin complex, and signal transduction. Furthermore, several disorders with a germline genetic predisposition to MDS have been identified, collectively accounting for up to 15% of all MDS cases. Genomic profiling can significantly improve the diagnostic approach to MDS, allowing the identification of distinct nosologic entities such as SF3B1-mutant or TP53-mutant MDS. The Molecular International Prognostic Scoring System for MDS (IPSS-M) has already proven to be a valuable tool for individualized risk assessment and treatment decisions. In addition, the recently developed molecular taxonomy of MDS will likely facilitate the implementation of precision medicine approaches for these disorders. This will necessitate the establishment of specialized infrastructures within public health systems, involving close collaboration between healthcare institutions, academia, and the life sciences industry.

Uncovering the Embryonic Origins of Duchenne Muscular Dystrophy.

Duchenne muscular dystrophy (DMD) is a severe degenerative muscle disease caused by mutations in the DMD gene, which encodes dystrophin. Despite its initial description in the late 19th century by French neurologist Guillaume Duchenne de Boulogne, and identification of causal DMD genetic mutations in the 1980s, therapeutics remain challenging. The current standard of care is corticosteroid treatment, which delays the progression of muscle dysfunction but is associated with significant adverse effects. Emerging therapeutic approaches, including AAV-mediated gene transfer, CRISPR gene editing, and small molecule interventions, are under development but face considerable obstacles. Although DMD is viewed as a progressive muscle disease, muscle damage and abnormal molecular signatures are already evident during fetal myogenesis. This early onset of pathology suggests that the limited success of current therapies may partly be due to their administration after aberrant embryonic myogenesis has occurred in the absence of dystrophin. Consequently, identifying optimal therapeutic strategies and intervention windows for DMD may depend on a better understanding of the earliest DMD disease mechanisms. As newer techniques are applied, the field is gaining increasingly detailed insights into the early muscle developmental abnormalities in DMD. A comprehensive understanding of the initial events in DMD pathogenesis and progression will facilitate the generation and testing of effective therapeutic interventions.

Genetic Features of Uveal Melanoma

Background/Objectives: Although it comprises only 5% of all melanomas, uveal melanoma (UM) is the most commonly observed primary intraocular cancer. Methods: Poor patient survival persists in spite of innovative systemic therapies. In fact, approximately fifty percent of UM patients develop metastases from micro-metastases that remain undetected at the exact time of diagnosis. Results: The molecular understanding of UM is significantly enhanced by the recent identification of several mutations that are responsible for the metastasis, growth, and survival of UM. The crucial point is a more accurate genetic analysis for patient follow-up and metastatic risk prediction. Conclusions: This review provides a brief summary of the molecular features of UM that are recently discovered, as well as cytogenetic markers and biochemical pathways that are associated with the development of UM metastases.

Cancer treatment monitoring using cell-free DNA fragmentomes.

Circulating cell-free DNA (cfDNA) assays for monitoring individuals with cancer typically rely on prior identification of tumor-specific mutations. Here, we develop a tumor-independent and mutation-independent approach (DELFI-tumor fraction, DELFI-TF) using low-coverage whole genome sequencing to determine the cfDNA tumor fraction and validate the method in two independent cohorts of patients with colorectal or lung cancer. DELFI-TF scores strongly correlate with circulating tumor DNA levels (ctDNA) (r = 0.90,p < 0.0001, Pearson correlation) even in cases where mutations are undetectable. DELFI-TF scores prior to therapy initiation are associated with clinical response and are independent predictors of overall survival (HR = 9.84, 95% CI = 1.72-56.10,p < 0.0001). Patients with lower DELFI-TF scores during treatment have longer overall survival (62.8 vs 29.1 months, HR = 3.12, 95% CI 1.62-6.00,p < 0.001) and the approach predicts clinical outcomes more accurately than imaging. These results demonstrate the potential of using cfDNA fragmentomes to estimate tumor burden in cfDNA for treatment response monitoring and clinical outcome prediction.

An open-access dashboard to interrogate the genetic diversity of Mycobacterium tuberculosis clinical isolates.

Tuberculosis (TB) remains one of the leading infectious disease killers in the world. The ongoing development of novel anti-TB medications has yielded potent compounds that often target single sites with well-defined mechanisms of action. However, despite the identification of resistance-associated mutations through target deconvolution studies, comparing these findings with the diverse Mycobacterium tuberculosis populations observed in clinical settings is often challenging. To address this gap, we constructed an open-access database encompassing genetic variations from > 50,000 clinical isolates, spanning the entirety of the M. tuberculosis protein-encoding genome. This resource offers a valuable tool for investigating the prevalence of target-based resistance mutations in any drug target within clinical contexts. To demonstrate the practical application of this dataset in drug discovery, we focused on drug targets currently undergoing phase II clinical trials. By juxtaposing genetic variations of these targets with resistance mutations derived from laboratory-adapted strains, we identified multiple positions across three targets harbouring resistance-associated mutations already present in clinical isolates. Furthermore, our analysis revealed a discernible correlation between genetic diversity within each protein and their predicted essentiality. This meta-analysis, openly accessible via a dedicated dashboard, enables comprehensive exploration of genetic diversity pertaining to any drug target or resistance determinant in M. tuberculosis.

Genetic Variability in the CPA1 Gene and Its Impact on Acute Pancreatitis Risk: New Insights from a Large-Scale Study.

Acute pancreatitis (AP) is a common and potentially lethal disease. Over the last 10 years, AP has become one of the most important healthcare problems. On a global scale, the incidence has increased by 63% over the last 20 years. AP is usually caused by gallstones and excessive alcohol consumption and genetic factors play an important role in the development of inflammation. Recent studies involving the CPA1 mutations are ambiguous and dependent on the population studied. In this study, the variability of the CPA1 gene in patients with AP was analyzed. Genetic material was isolated from the blood of 301 patients with AP and 184 healthy individuals. Identification of the variants in exons 5, 6, 8, and 9 with introns was performed using molecular biology methods. Mutations were identified by comparison to the reference sequence (NM_001868.4). Statistical analysis included the identification of mutations correlating with the risk of AP, the etiology of inflammation, and family history. Several novel mutations in the CPA1 gene have been identified, along with a high degree of variability within the coding region of the carboxypeptidase gene. A correlation between mutations CPA1:c.1072 + 84del; c.987 + 57G>A and increased risk of developing AP was found. Two protective mutations, CPA1:c.625A>T, c.1072 + 94del, were identified. The CPA1 gene is characterized by high sequence variability and regions in which mutations lead to an increased risk of developing AP. Single or co-occurring mutations of the CPA1 gene can significantly affect the risk of developing AP.

Pheochromocytoma-Paraganglioma Syndrome: A Multiform Disease with Different Genotype and Phenotype Features.

Pheochromocytoma and paraganglioma (PPGL) are rare tumors derived from the adrenal medulla and extra-adrenal chromaffin cells. Diagnosis is often challenging due to the great variability in clinical presentation; the complexity of management due to the dangerous effects of catecholamine excess and the potentially malignant behavior require in-depth knowledge of the pathology and multidisciplinary management. Nowadays, diagnostic ability has certainly improved and guidelines and consensus documents for treatment and follow-up are available. A major impulse to the development of this knowledge has come from the new findings on the genetic and molecular characteristics of PPGLs. Germline mutation in susceptibility genes is detected in 40% of subjects, with a mutation frequency of 10-12% also in patients with sporadic presentation and genetic testing should be incorporated within clinical care. PPGL susceptibility genes include "old genes" associated with Neurofibromatosis type 1 (NF1 gene), Von Hippel Lindau syndrome (VHL gene) and Multiple Endocrine Neoplasia type 2 syndrome (RET gene), the family of SDHx genes (SDHA, SDHB, SDHC, SDHD, SDHAF2), and genes less frequently involved such as TMEM, MAX, and FH. Each gene has a different risk of relapse, malignancy, and other organ involvement; for mutation carriers, affected or asymptomatic, it is possible to define a tailored long-life surveillance program according to the gene involved. In addition, molecular characterization of the tumor has allowed the identification of somatic mutations in other driver genes, bringing to 70% the PPGLs for which we know the mechanisms of tumorigenesis. This has expanded the catalog of tumor driver genes, which are identifiable in up to 70% of patients Integrated genomic and transcriptomic data over the last 10 years have revealed three distinct major molecular signatures, triggered by pathogenic variants in susceptibility genes and characterized by the activation of a specific oncogenic signaling: the pseudo hypoxic, the kinase, and the Wnt signaling pathways. These molecular clusters show a different biochemical phenotype and clinical behavior; they may also represent the prerequisite for implementing customized therapy and follow-up.

Novel imported clades accelerated the RSV surge in Beijing, China, 2023-2024

ObjectivesDespite the optimisation of the zero-COVID policy in late 2022, there was a subsequent increase noted in the number of respiratory syncytial virus (RSV) cases in Northern China. In this study, we investigated and characterised the dynamics of this surge at the genomic level in Beijing, China. MethodsPatients with acute respiratory tract infections (ARTIs) were enrolled from 35 sentinel hospitals in Beijing, China. Epidemiological investigations, G gene amplification, and whole-genome sequencing were performed, followed by epidemiological analysis, imported clade detection, and mutation identification. We also combined global data to illustrate the biological and epidemiological characteristics of the emerging clades. ResultsA total of 60,423 patients with ARTIs were recruited between January 2015 and January 2024. The RSV peak observed in the winter of 2023 was the highest in the past 9 years. Two novel imported clades, A.D.5.2 and B.D.E.1, were detected for the first time in China. This surge was mainly driven by B.D.E.1, which exhibited a significantly higher proportion of older individuals both in Beijing and globally. Seven non-synonymous mutations in B.D.E.1 were found in Beijing. B.D.E.1 had more sites suffering from positive selection than its parent. ConclusionsThe novel imported clade B.D.E.1 accelerated an unprecedented RSV surge in Beijing, presenting noteworthy epidemiological and biological characteristics. Continuous RSV genome monitoring has important implications for RSV outbreak identification, genetic diversity tracking, vaccine development, and strategy implementation.

Identification of mutations in canine oral mucosal melanomas by exome sequencing and comparison with human melanomas

Oral mucosal melanomas (OMMs) are aggressive neoplasms commonly found in dogs but rare in humans. Utilizing whole exome sequencing (WES), which focuses on protein-coding regions to reveal mutation profiles, we conducted a comparative analysis of canine OMM and human melanomas. This study involved DNA extraction, exome enrichment, and sequencing from three canine OMM cell lines (CMGD-2, CMGD-5, TLM-1), five canine OMM frozen samples, a human OMM cell line (MEMO), and a human commercial skin melanoma cell line (SK-MEL-28). The sequencing and subsequent analysis of FASTQ files yielded final variant files, leading to the identification of mutations. Our findings revealed a total of 500 mutated genes in canine OMM, including significant ones such as EP300, FAT4, JAK3, LRP1B, NCOR1, and NOTCH1. Notably, 82 shared mutations were identified between human melanomas and canine OMM genomes. These mutations were categorized based on the gene functions. The identification of these mutations provides critical insights that can pave the way for the development of novel therapeutic strategies for both canine and human OMM, offering hope for more effective treatments in the future.

Characterizing POLE Mutation-Associated Colorectal Carcinoma: Clinical and Pathologic Insight

Abstract Introduction/Objective Colorectal carcinoma (CRC) is one of the most common cancers and a leading cause of cancer-related death in the United States. Pathogenically, colorectal carcinoma is a heterogeneous disease that develops via stepwise accumulation of well-characterized genetic and epigenetic alteration. Identification of DNA polymerase mutation leads to the characterization of a new molecular pathway of carcinogenesis named the POLE pathway. Methods/Case Report Utilizing the cBioportal platform and Cancer Genome Atlas (TCGA) Firehouse Legacy data, we identified 118 cases of CRC with mutations in the POLE gene. We evaluated the various clinical and pathologic features of POLE mutation-associated CRC. Results (if a Case Study enter NA) Within the cohort of 118 cases linked to mutations in the POLE gene, gender distribution reveals that 63 individuals, comprising 53.8% of the sample, are male, while 42 individuals, accounting for 35.9%, are female. Ethnicity breakdown showcases a predominantly White population, with 92 cases (78.6%), followed by 8 cases (6.8%) attributed to Asian-Far East/Indian Subcontinent descent, 5 cases (4.3%) categorized as Asian, and 4 cases (3.4%) each identified as Black and Black or African American. Additionally, one case (0.9%) has an unknown ethnicity, while 4 cases (3.4%) have unspecified racial backgrounds. The average age at diagnosis is recorded at 48.5 years, with ages ranging from 25 to 85, signifying a broad age spectrum within the affected population. Delving into cancer subtypes, the majority of cases, constituting 64 instances (54.2%), manifest as colon adenocarcinoma, while 38 cases (32.2%) present as rectal adenocarcinoma. Moreover, 9 cases (7.6%) are characterized as colorectal adenocarcinoma, 6 cases (5.1%) are classified as mucinous adenocarcinoma of the colon and rectum, and one case (0.8%) manifests as medullary adenocarcinoma of the colon. This detailed elucidation provides a comprehensive understanding of the demographics and clinical presentation within the cohort affected by POLE gene mutations. Conclusion In summary, our research has meticulously examined 118 instances of colorectal carcinoma (CRC) intricately linked to mutations in the POLE gene. Within this cohort, a predominant demographic emerges, with a notable prevalence among individuals of White ethnicity. Delving deeper into the pathological spectrum, colon adenocarcinoma emerges as the prevailing subtype, exemplifying the intricate interplay between genetic aberrations and cancer manifestation.

Myeloid Sarcoma of Conjunctiva in a patient with JAK2-positive myeloid neoplasm: two distinct myeloid neoplasms sequentially arising from a common precursor

Abstract Introduction/Objective Myeloid sarcoma (aka granulocytic sarcoma or chloroma), a rare type of myeloid neoplasm is characterized by the presence of myelogenous blastic cells outside of the bone marrow either before, during or after the development of leukemia. Presentation in the orbit is extremely rare, unlike other body parts. We report a case of myeloid sarcoma of conjunctiva in a patient with JAK2-positive myeloid neoplasm. Methods/Case Report An 84-year-old man presented with bilateral conjunctival masses which on biopsy showed diffuse involvement by blasts, immunohistochemically expressing positivity for myeloperoxidase, CD33, CD68, CD34 (partial), CD117 (partial) but were non-reactive to CD15, CD3 and PAX5. Next generation sequencing (NGS) revealed mutations in NRAS, ASXl1 and TET2 genes, consistent with the diagnosis of myeloid sarcoma (MS) of the conjunctiva. While patient’s past medical history included status post radiation and chemotherapy for prostate cancer and colonic adenocarcinoma respectively. it was also significant for a JAK 2 positive myeloproliferative neoplasm (MPN), six-years prior to current presentation. At the time he was treated with hydroxyurea for 5 years but developed neutrophilic leukocytosis and transfusion-dependent anemia. Subsequently a treatment regimen including ruxolitinib and pacritinib was initiated but without clinical and hematological improvements. NGS of the initial JAK2-positive MPN revealed ASXL1, JAK2 and TET2 mutations. Of note are the similarities and variations in the molecular signatures of patient’s initial MPN and current conjunctival MS. While the two neoplasms carried an identical TET2 mutation with highest variant allelic frequency, they are different in other mutations. Results (if a Case Study enter NA) NA Conclusion Our case illustrates an unusual manifestation of myeloid sarcoma localized to the conjunctiva. The identification of clonal relatedness on NGS with distinct mutations, adds complexity to our understanding of tumor origin. It highlights a series of events which may have contributed to this phenomenon, including consequence of therapy, clonal evolution with molecular discordance or origin as a totally independent entity. This report underscores the importance of genetic profiling in guiding prognosis and treatment strategies in such settings.

TRANSFORMING HEALTHCARE DELIVERY THROUGH BIG DATA IN HOSPITAL MANAGEMENT SYSTEMS: A REVIEW OF RECENT LITERATURE TRENDS

This systematic review investigates the transformative role of big data technologies in biomedical research, analyzing 40 peer-reviewed articles published between 2010 and 2023. The review specifically explores advancements in next-generation sequencing (NGS), multi-omics approaches, machine learning, and artificial intelligence (AI), all of which have significantly enhanced the understanding of complex biological systems and diseases. NGS has emerged as a key tool in personalized medicine, enabling rapid and cost-effective genome sequencing that has facilitated the identification of genetic mutations and biomarkers associated with various diseases, particularly in oncology. Of the 40 studies reviewed, 12 focused on the integration of multi-omics data—genomics, transcriptomics, proteomics, and metabolomics—to provide a comprehensive view of biological processes. These multi-omics approaches have been instrumental in identifying biomarkers for disease progression and response to treatments, offering new avenues for drug development and precision medicine. Additionally, 15 studies highlighted the growing application of machine learning and AI algorithms in managing and analyzing vast biomedical datasets. These tools are now critical in uncovering hidden patterns within large datasets, predicting disease outcomes, and improving the accuracy of clinical decision-making. However, 10 studies emphasized ongoing challenges related to data storage, privacy concerns, and the lack of standardized data formats, which hinder effective data sharing across institutions. Despite these challenges, the integration of AI, IoT devices, and big data analytics is paving the way for more personalized, real-time healthcare monitoring and treatment solutions. This review concludes that while significant advancements have been made, further efforts are required to address the ethical and technical barriers that limit the full potential of big data technologies in biomedical research.

Identification of mutations using whole exome sequencing in eight fetuses presenting with short femur

BackgroundFemur length is one of the important indicators for evaluating fetal growth and development. Short femur is a common prenatal ultrasound finding. This study aimed to investigate the genetic etiology of fetal short femur using trio-based whole exome sequencing (WES), so as to provide evidence for prenatal diagnosis and evaluate the application of trio-WES in prenatal diagnosis of fetal short femur. MethodsWe retrospectively analyzed the clinical phenotype and WES results of eight fetuses with short femur diagnosed by prenatal ultrasound. The results of WES were validated by Sanger sequencing. The pathogenicity of the mutations was evaluated. Minigene assay was performed to investigate the effects of intronic mutation on mRNA splicing. The pregnancy outcome was followed up. ResultsA total of seven mutations were detected in eight short femur fetuses. Among them, COL2A1 (p.Gly1107Glu), GNAS (p.Lys739Glu) and FGFR3 (c.1075 + 95C > G) were novel mutations that had not been reported. Minigene assay showed that c.1075 + 95C > G in FGFR3 partially retained a 90 bp sequence in intron 8. ConclusionsThe results of this study enriched the mutant spectrums of COL2A1, GNAS and FGFR3 genes, and demonstrated the value of trio-WES in prenatal diagnosis of fetuses with short femur.

Identification of Pathogenic Missense Mutations of NF1 Using Computational Approaches

Neurofibromatosis type 1 (NF1) is a prevalent autosomal dominant disorder caused by mutations in the NF1 gene, leading to multisystem disorders. Given the critical role of cysteine residues in protein stability and function, we aimed to identify key NF1 mutations affecting cysteine residues that significantly contribute to neurofibromatosis pathology. To identify the most critical mutations in the NF1 gene that contribute to the pathology of neurofibromatosis, we employed a sophisticated computational pipeline specifically designed to detect significant mutations affecting the NF1 gene. Our approach involved an exhaustive search of databases such as the Human Gene Mutation Database (HGMD), UniProt, and ClinVar for information on missense mutations associated with NF1. Our search yielded a total of 204 unique cysteine missense mutations. We then employed in silico prediction tools, including PredictSNP, iStable, and Align GVGD, to assess the impact of these mutations. Among the mutations, C379R, R1000C, and C1016Y stood out due to their deleterious effects on the biophysical properties of the neurofibromin protein, significantly destabilizing its structure. These mutations were subjected to further phenotyping analysis using SNPeffect 4.0, which predicted disturbances in the protein’s chaperone binding sites and overall structural stability. Furthermore, to directly visualize the impact of these mutations on protein structure, we utilized AlphaFold3 to simulate both the wild-type and mutant NF1 structures, revealing the significant effects of the R1000C mutation on the protein’s conformation. In conclusion, the identification of these mutations can play a pivotal role in advancing the field of precision medicine and aid in the development of effective drugs for associated diseases.

BMP2 and BMP7 cooperate with H3.3K27M to promote quiescence and invasiveness in pediatric diffuse midline gliomas.

Pediatric diffuse midline gliomas (pDMG) are an aggressive type of childhood cancer with a fatal outcome. Their major epigenetic determinism has become clear, notably with the identification of K27M mutations in histone H3. However, the synergistic oncogenic mechanisms that induce and maintain tumor cell phenotype have yet to be deciphered. In 20 to 30% of cases, these tumors have an altered BMP signaling pathway with an oncogenic mutation on the BMP type I receptor ALK2, encoded by ACVR1. However, the potential impact of the BMP pathway in tumors non-mutated for ACVR1 is less clear. By integrating bulk, single-cell, and spatial transcriptomic data, we show here that the BMP signaling pathway is activated at similar levels between ACVR1 wild-type and mutant tumors and identify BMP2 and BMP7 as putative activators of the pathway in a specific subpopulation of cells. By using both pediatric isogenic glioma lines genetically modified to overexpress H3.3K27M and patients-derived DIPG cell lines, we demonstrate that BMP2/7 synergizes with H3.3K27M to induce a transcriptomic rewiring associated with a quiescent but invasive cell state. These data suggest a generic oncogenic role for the BMP pathway in gliomagenesis of pDMG and pave the way for specific targeting of downstream effectors mediating the K27M/BMP crosstalk.

BMP2 and BMP7 cooperate with H3.3K27M to promote quiescence and invasiveness in pediatric diffuse midline gliomas

Pediatric diffuse midline gliomas (pDMG) are an aggressive type of childhood cancer with a fatal outcome. Their major epigenetic determinism has become clear, notably with the identification of K27M mutations in histone H3. However, the synergistic oncogenic mechanisms that induce and maintain tumor cell phenotype have yet to be deciphered. In 20 to 30% of cases, these tumors have an altered BMP signaling pathway with an oncogenic mutation on the BMP type I receptor ALK2, encoded by ACVR1. However, the potential impact of the BMP pathway in tumors non-mutated for ACVR1 is less clear. By integrating bulk, single-cell, and spatial transcriptomic data, we show here that the BMP signaling pathway is activated at similar levels between ACVR1 wild-type and mutant tumors and identify BMP2 and BMP7 as putative activators of the pathway in a specific subpopulation of cells. By using both pediatric isogenic glioma lines genetically modified to overexpress H3.3K27M and patients-derived DIPG cell lines, we demonstrate that BMP2/7 synergizes with H3.3K27M to induce a transcriptomic rewiring associated with a quiescent but invasive cell state. These data suggest a generic oncogenic role for the BMP pathway in gliomagenesis of pDMG and pave the way for specific targeting of downstream effectors mediating the K27M/BMP crosstalk.