Hotspot Mutations Research Articles

7826 The Identification of an Activating ESR1 Mutation in an Aggressive Prolactinoma Enabled the Use of Personalized Treatment

Abstract Disclosure: T. Paes: None. J.B. Mebarak: None. J. C. Magnotto: None. G. A. Stamatiades: None. Y. Kuang: None. C. Paweletz: None. E.R. Laws: None. R.S. Carroll: None. R. Jeselsohn: None. D. R. Mohan: None. A. Marcondes Lerario: None. W. L. Bi: None. D. A. Reardon: None. D. M. Meredith: None. U.B. Kaiser: None. A. Abreu: None. Introduction: Prolactinomas are benign tumors typically treated with dopamine agonists; few progress on medical therapy, through unclear molecular mechanisms. Although the SF3B1 mutation has been identified in one study as a driver of aggressive prolactinomas, in most cases no genetic mutations have been reported. We aimed to identify genetic alterations associated with prolactinomas using a gene panel. Method and Results: Oncopanel, a massively parallel sequencing panel, was performed to identify genomic variants and copy number variation (CNV) in a cohort of 21 patients with prolactinomas. No SF3B1 pathogenic variants were identified in this cohort. A MEN1 mutation was detected in a macroadenoma resistant to dopamine agonist. In a case of an extremely aggressive prolactinoma diagnosed in a 49-year-old woman, a somatic ESR1 [encoding estrogen receptor alpha (ERα)] mutation (ESR1Y537S) was identified in tissue from the patient’s fourth surgery. Using droplet digital PCR (ddPCR), ESR1Y537S was also detected in circulating cell-free DNA. We aimed to investigate whether ESR1Y537S may have driven initial tumor formation, or whether it was acquired as the tumor progressed. To this end, Sanger sequencing and ddPCR analyses of DNA from the first two resected tumors were performed and failed to identify ESR1Y537S. In the CNV analysis, the ESR1-mutated prolactinoma had the highest number of CNVs, compared to the rest of the cohort. Despite efforts to control tumor growth with multiple therapeutic modalities, the mutated prolactinoma had progressively enlarged post-menopausally, with invasion of surrounding structures. ESR1Y537S is a hotspot mutation in metastatic breast cancer. In breast cancer cells, ESR1Y537S activates the ERα independent of ligand binding, resulting in high cell proliferation and conferring resistance to classic hormonal treatment in ER-positive breast cancer. Elacestrant, a second-line ER degrader, increases overall free-survival in patients with resistant breast cancer and ESR1Y537S. Given the lack of response to multimodality therapy, off-label elacestrant was initiated after the third cycle of radiotherapy was completed in the patient with the aggressive prolactinoma. The combination of radiotherapy with this personalized treatment targeting ESR1 activity (elacestrant) was able to control tumor growth and significantly reduce prolactin levels. Conclusion:ESR1 regulates lactotroph differentiation and proliferation, possibly contributing to prolactinoma tumorigenesis. Our data support a role for ESR1Y537S in this prolactinoma’s unusually aggressive behavior in the postmenopausal setting. Molecular profiling revealing the mutation (ESR1Y537S) allowed the patient to receive a targeted therapy which, together with radiotherapy, resulted in a decrease in prolactin levels and a remarkable improvement in disease control. Presentation: 6/2/2024

8576 Genomic and Transcriptomic Characterization of Pediatric Thyroid Cancers

Abstract Disclosure: J.C. Ricarte-Filho: None. E.R. Reichenberger: None. K. Hinkle: None. A.R. Isaza: None. A.J. Bauer: None. A.T. Franco: None. Background: Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer in both pediatric and adult populations. Recent genomic profiling of papillary thyroid cancers, including that of the Cancer Genome Atlas, has uncovered the genetic alterations and molecular mechanisms driving thyroid cancer. However, these studies were primarily focused on adult patients. Despite their favorable prognosis, pediatric PTCs have higher rates of metastasis and recurrence than adult PTCs, but the molecular characterization of these tumors have been comparatively lacking. Methods: Here we explore the genomic and transcriptomic landscape of pediatric PTCs from 126 patients, including 107 primary tumors and 19 lymph node metastases (non-paired) using whole-exome sequencing and RNA sequencing. Thirteen primary tumors also had a paired lymph node metastasis analyzed. Results: We found driver alterations in 113 of 126 (90%) of the PTCs investigated, including the identification of a novel receptor tyrosine kinase (RTK) fusion not previously reported in thyroid cancer. Genetic drivers were predominantly kinase fusions (48%), most commonly fusions of RET (22%), NTRK3 (10%), ALK (5%) and NTRK1 (5%). The most common point mutations were BRAF p.V600E (21%), NRAS p.Q61R/K (9%) and hotspot mutations in DICER1 (4%). We found genetic alterations in 12 of the 13 paired lymph node metastasis. In all 12 cases the metastatic tissue harbored the same alterations found in the primary tumor. Eight out of 12 cases had fusions (3 RET, 3 NTRK3 and 2 NTRK1), and the additional 4 cases had point mutations (3 BRAFV600E and 1 TSHRM543T). Fourteen patients (11%) had widely invasive disease with lateral lymph node and distant metastases (N1bM1). Most of these N1bM1 tumors (13/14; 93%) were driven by RTK fusions (5 NTRK3, 3 RET, 3 NTRK1 and 2 ALK). The one case lacking a kinase fusion had a CHEK2 mutation. Conclusion: Our genomic and transcriptomic analysis allowed the detection of driver alterations in ∼90% of the cases, reducing the so-called “dark matter” in our cohort. Our data support that kinase fusions are associated with metastatic disease in pediatric PTC. Patients with RET/NTRK/ALK fusions have worse outcomes than those with BRAF p.V600E mutation and RAS-like alterations (NRAS, DICER1, non-V600 BRAF, PTEN). By using the transcriptional profiling generated in this study, we are currently investigating the molecular mechanisms underlying the metastatic behavior of pediatric PTCs harboring oncogenic fusions, including changes in MAPK transcriptional output, differentiation score and recruitment of signaling pathways potentially associated with the metastatic behavior of these tumors. Presentation: 6/3/2024

8744 Genomic Variant Landscape In Aggressive & Treatment Resistant Prolactin-Secreting Tumors

Abstract Disclosure: D. Marrero-Rodríguez: None. K. Taniguchi-Ponciano: None. F. Martinez-Mendoza: None. E. Peña-Martinez: None. S. Vela-Patiño: None. S. Hinojosa-Alvarez: None. J. Hernandez-Perez: None. R. Chavez-Santoscoy: None. E. Sosa-Eroza: None. P.E. Espinosa Cardenas: None. M. Mercado: None. Pituitary tumors (PT) represent the second most frequent intracranial tumor and this neoplasm arises from adenohypophyseal cells. Prolactin-secreting tumor (PRL-tumors) are the most commonly neoplasm of the pituitary gland and arises from lactotrophs, and account for 50% of all pituitary tumors. Pituitary tumors are highly heterogeneous lesions and many of them are invasive in up to 45%, with up to 15% being clinically aggressive. Aggressive PRL-tumors are defined as invasive tumors with unusually rapid growth rate despite maximal tolerated dopamine agonist dose and requiring additional therapy and presenting multirecurrent potential. Predicting pituitary tumor behavior remains a challenge, therefore we performed whole exome sequencing to identify genomic variant landscape from aggressive and treatment-resistant prolactin-secreting pituitary tumors. Interestingly one tumor showed one hotspot mutation in splicing factor gene SF3B1 (c.C1873T:p.R625C), a second tumor showed an stop codon in SF3B1 (c.C496T:p.R166*). We then evaluated known hereditary-related pituitary tumor genes, identifying three patients with two different GNAS allelic variants the first one showed c.A3059G:p.N1020S and two tumors with c.C1307A:p.A436D variants. PRKAR1A gene did not showed any allelic variants in our cohort, while all tumors presented c.A1636G:p.T546A variant in MEN1 gene, in AIP gene allelic variant c.C682A:p.Q228K was present in all tumors. PAX6 gene is related to pituitary gland development and function, we found a deletion (c.980delA:p.K327Rfs*29) causing frameshift present in all tumors. The target coding-gene for cabergoline, first line of treatment, DRD2 di not showed any allelic variant. Also XRCC1 and ABCB1 genes, which are related to drug and therapy response showed c.A1196G:p.Q399R and c.T2887G:p.S963A allelic variants in 100% and 88% of tumors, respectively. Together this genomic landscape could represent higher risk to harbor aggressive non-responsive PRL secreting tumor. Presentation: 6/1/2024

Melanoma-specific mutation hotspots in distal, non-coding, promoter-interacting regions implicate novel candidate driver genes.

To develop targeted treatments, it is crucial to identify the full spectrum of genetic drivers in melanoma, including those in non-coding regions. However, recent efforts to explore non-coding regions have primarily focused on gene-adjacent elements such as promoters and non-coding RNAs, leaving intergenic distal regulatory elements largely unexplored. We used Hi-C chromatin contact data from melanoma cells to map distal, non-coding, promoter-interacting regulatory elements genome-wide in melanoma. Using this "promoter-interaction network", alongside whole-genome sequence and gene expression data from the Pan Cancer Analysis of Whole Genomes, we developed multivariate linear regression models to identify distal somatic mutation hotspots that affect promoter activity. We identified eight recurrently mutated hotspots that are novel, melanoma-specific, located in promoter-interacting distal regulatory elements, alter transcription factor binding motifs, and affect the expression of genes (e.g., HSPB7, CLDN1, ADCY9 and FDXR) previously implicated as tumour suppressors/oncogenes in various cancers. Our study suggests additional non-coding drivers beyond the well-characterised TERT promoter in melanoma, offering new insights into the disruption of complex regulatory networks by non-coding mutations that may contribute to melanoma development. Furthermore, our study provides a framework for integrating multiple levels of biological data to uncover cancer-specific non-coding drivers.

Missense mutation in the activation segment of the kinase CK2 models Okur-Chung neurodevelopmental disorder and alters the hippocampal glutamatergic synapse.

Exome sequencing has enabled the identification of causative genes of monogenic forms of autism, amongst them, in 2016, CSNK2A1, the gene encoding the catalytic subunit of the kinase CK2, linking this kinase to Okur-Chung Neurodevelopmental Syndrome (OCNDS), a newly described neurodevelopmental condition with many symptoms resembling those of autism spectrum disorder. Thus far, no preclinical model of this condition exists. Here we describe a knock-in mouse model that harbors the K198R mutation in the activation segment of the α subunit ofCK2. This region is a mutational hotspot, representing one-third of patients. These mice exhibit behavioral phenotypes that mirror patient symptoms. Homozygous knock-in mice die mid-gestation while heterozygous knock-in mice are born at half of the expected mendelian ratio and are smaller in weight and size than wildtype littermates. Heterozygous knock-in mice showed alterations in cognition and memory-assessing paradigms, enhanced stereotypies, altered circadian activity patterns, and nesting behavior. Phosphoproteome analysis from brain tissue revealed alterations in the phosphorylation status of major pre- and postsynaptic proteins of heterozygous knock-in mice. In congruence, we detect reduced synaptic maturation in hippocampal neurons and attenuated long-term potentiation in the hippocampus of knock-in mice. Taken together, heterozygous knock-in mice (CK2αK198R/+) exhibit significant face validity, presenting ASD-relevant phenotypes, synaptic deficits, and alterations in synaptic plasticity, all of which strongly validate this line as a mouse model of OCNDS.

Catching the Silent Culprits: TERT Promoter Mutation Screening of Minimally Invasive Follicular and Oncocytic Thyroid Carcinoma in Clinical Practice.

De-escalation of thyroid cancer treatment is crucial to prevent overtreatment of indolent disease, but it remains important to identify clinically aggressive cases. TERT promoter mutations are molecular events frequently associated with high-risk thyroid tumors with poor outcomes and may identify cases at risk of dissemination. In various international guidelines, small minimally invasive follicular thyroid carcinoma and oncocytic thyroid carcinoma (miFTC/miOTC) are classified as low-risk lesions and are not recommended adjuvant treatment. Our study aimed to explore the association between size-based risk assessment and TERT promoter mutations. Between 2019 and May 2024, 84 miFTCs/miOTCs diagnosed at our department underwent digital droplet PCR analysis targeting TERT promoter mutational hotspots C228T and C250T in clinical routine. TERT promoter mutations were found in 10 out of 84 cases (11.9%). Mutated cases were pT1 (n = 1), pT2 (n = 3), or pT3 (n = 6). Patients with mutated tumors were older compared to patients with wild-type tumors (median age of 71years vs. 57years, p = 0.041). There were no significant differences regarding patient sex, tumor size, Ki-67 labeling index, or the presence of distant metastases. Notably, 30% of mutations displayed variant allele frequencies < 10%, possibly suggesting subclonal events. To conclude, TERT promoter mutations in miFTCs and miOTCs were associated with higher patient age and were often suspected to be subclonal. However, they did not affect clinical outcomes, possibly due to short follow-up. Reflex testing for this genetic alteration in miFTCs and miOTCs could be justified regardless of tumor size, though the clinical benefit remains uncertain.

Shedding light on the DICER1 mutational spectrum of uncertain significance in malignant neoplasms.

The Dicer protein is an indispensable player in such fundamental cell pathways as miRNA biogenesis and regulation of protein expression in a cell. Most recently, both germline and somatic mutations in DICER1 have been identified in diverse types of cancers, which suggests Dicer mutations can lead to cancer progression. In addition to well-known hotspot mutations in RNAase III domains, DICER1 is characterized by a wide spectrum of variants in all the functional domains; most are of uncertain significance and unstated clinical effects. Moreover, various new somatic DICER1 mutations continuously appear in cancer genome sequencing. The latest contemporary methods of variant effect prediction utilize machine learning algorithms on bulk data, yielding suboptimal correlation with biological data. Consequently, such analysis should be conducted based on the functional and structural characteristics of each protein, using a well-grounded targeted dataset rather than relying on large amounts of unsupervised data. Domains are the functional and evolutionary units of a protein; the analysis of the whole protein should be based on separate and independent examinations of each domain by their evolutionary reconstruction. Dicer represents a hallmark example of a multidomain protein, and we confirmed the phylogenetic multidomain approach being beneficial for the clinical effect prediction of Dicer variants. Because Dicer was suggested to have a putative role in hematological malignancies, we examined variants of DICER1 occurring outside the well-known hotspots of the RNase III domain in this type of cancer using phylogenetic reconstruction of individual domain history. Examined substitutions might disrupt the Dicer function, which was demonstrated by molecular dynamic simulation, where distinct structural alterations were observed for each mutation. Our approach can be utilized to study other multidomain proteins and to improve clinical effect evaluation.

Revealing SARS-CoV-2 Mpro Mutation Cold and Hot Spots: Dynamic Residue Network Analysis Meets Machine Learning

Deciphering the effect of evolutionary mutations of viruses and predicting future mutations is crucial for designing long-lasting and effective drugs. While understanding the impact of current mutations on protein drug targets is feasible, predicting future mutations due to natural evolution of viruses and environmental pressures remains challenging. Here, we leveraged existing mutation data during the evolution of the SARS-CoV-2 protein drug target main protease (Mpro) to test the predictive power of dynamic residue network (DRN) analysis in identifying mutation cold and hot spots. We conducted molecular dynamics simulations on the Mpro of SARS-CoV-2 (Wuhan strain) and calculated eight DRN metrics (averaged BC, CC, DC, EC, ECC, KC, L, PR), each of which identifies a unique network feature within the protein. The sets of residues with the highest and lowest values for each metric, comprising potential cold and hot spots, were compared to published biochemical analyses and per residue mutation frequencies observed across five SARS-CoV-2 lineages, encompassing a total of 191,878 sequences.Individual DRN metrics displayed only modest power to predict the mutation frequency of individual residues. However, integrating the eight DRN metrics with additional structural and sequence-derived metrics allowed us to develop machine learning models which significantly improved the prediction of residue mutation frequency. While further refinements should enhance accuracy, we demonstrated a robust method to understand pathogen evolution. This approach can also guide the development of long-lasting drugs by targeting functional residues located in and near active site, and allosteric sites, that are less prone to mutations.

Therapeutic inhibition of isocitrate dehydrogenase mutations in glioma and cholangiocarcinoma: new insights and promises-a narrative review.

The identification of mutation hot spots in the isocitrate dehydrogenase (IDH) genes is one of the most important cancer genome-wide sequencing discoveries with relevant impact in the treatment of some orphan tumors. These genes were mostly found mutated in lower-grade gliomas (LGGs), acute myeloid leukaemia (AML), myelodysplastic syndromes (MDS) and myeloproliferative neoplasms (MPNs) and in cholangiocarcinoma. This aberrant genomic condition represents a therapeutic target of great interest in cancer research, especially in AML, given the limitations of currently approved therapies in this field. In this review, we investigate the role of IDH mutation and the mutant IDH (mIDH)- targeted therapies for cholangiocarcinoma and glioma. Here, we provide an overview of the IDH mutation role and discuss its role in tumorigenesis and progression of some solid cancers, in which the therapeutic strategy can be completely changed thanks to these brand-new therapeutic options. The encouraging early clinical data demonstrated to be a proof of concept for investigational mIDH1/2 inhibitors in tumors with a paucity of therapeutic possibilities. Moreover, we list the most important randomised clinical trials still active with their preliminary results.

701P AAV.U7.ex44 mediates efficient exon skipping, protein restoration & phenotype rescue – pre-clinical intramuscular and dose escalation study for a mutational hotspot of the Duchenne muscular dystrophy (DMD)

701P AAV.U7.ex44 mediates efficient exon skipping, protein restoration & phenotype rescue – pre-clinical intramuscular and dose escalation study for a mutational hotspot of the Duchenne muscular dystrophy (DMD)

Molecular Profiling of Low-Grade Appendiceal Mucinous Neoplasms (LAMN).

Low-grade appendiceal mucinous neoplasia (LAMN) represents a relatively rare tumor of the appendix typically diagnosed incidentally through appendectomy for acute appendicitis. In cases where perforation occurs, mucinous content may disseminate into the abdominal cavity, leading to the development of pseudomyxoma peritonei (PMP). The primary objective of this study was to elucidate the molecular characteristics associated with various stages of LAMN and PMP. DNA was extracted from LAMN, primary PMPs, recurrent PMPs, and adenocarcinomas originating from LAMN. The subsequent analysis involved the examination of mutational hotspot regions within 50 cancer-related genes, covering over 2800 COSMIC mutations, utilizing amplicon-based next-generation sequencing (NGS). Our findings revealed activating somatic mutations within the MAPK-signaling pathway across all tumors examined. Specifically, 98.1% of cases showed mutations in KRAS, while one tumor harbored a BRAF mutation. Additionally, GNAS mutations were identified in 55.8% of tumors, with no significant difference observed between LAMN and PMP. While LAMN rarely displayed additional mutations, 42% of primary PMPs and 60% of recurrent PMPs showed additional mutations. Notably, both adenocarcinomas originating from LAMN showed mutations within TP53. Furthermore, 7.7% (4/52) of cases exhibited a potentially targetable KRAS G12C mutation. In four patients, NGS analysis was performed on both primary PMP and recurrent PMP/adenocarcinoma samples. While mutations in KRAS and GNAS were detected in almost all samples, 50% of recurrent cases displayed an additional SMAD4 mutation, suggesting a notable alteration during disease progression. Our findings indicate two key points: First, mutations within the MAPK pathway, particularly in KRAS, are evident across all tumors, along with a high frequency of GNAS mutations. Second, progression toward PMP or adenocarcinoma is associated with an accumulation of additional mutations within common oncogenic pathways.

Clinical Significance of a Prospective Large Genomic Screening for SCLC: The Genetic Classification and a Biomarker-Driven Phase 2 Trial of Gedatolisib

IntroductionSCLC has been treated as a single entity resulting in limited survival improvement. Developing effective tools for guiding appropriate therapeutic strategies is crucial. MethodsA total of 1035 SCLCs were prospectively analyzed by a genomic screening platform: LC-SCRUM-Asia. Fresh frozen tumor samples were subjected to a next-generation sequencing system enabling the integrative analysis of cancer-related genes. A phase 2 trial of gedatolisib for SCLC with PI3K/AKT/mTOR pathway mutations was conducted based on this screening. ResultsOn the basis of the treatment outcomes and therapeutic targets, the following five distinct genetic subgroups were identified in SCLC: NSCLC-subgroup (genetic alterations associated with NSCLC, 8.5%); Hotspot-subgroup (targetable hotspot mutations common in tumors, 3.0%); PI3K-subgroup (PI3K/AKT/mTOR pathway mutations, 7.4%); MYC-subgroup (MYC family amplifications, 13.0%); and HME-subgroup (mutations in the histone-modifying enzymes, 17.6%). The NSCLC-subgroup (hazard ratio = 1.57; 95% confidence interval: 1.22–2.03) and MYC-subgroup (hazard ratio = 1.56; 95% confidence interval: 1.26–1.93) had significantly shorter progression-free survivals after first-line platinum-based treatment. The Hotspot-subgroup and MYC-subgroup were candidates for novel targeted therapies. The HME-subgroup had a favorable survival in patients who received programmed cell death protein-1/programmed death-ligand 1 inhibitor-based therapies (p = 0.005, log-rank test) regardless of some overlap with other subgroups. There were 15 patients enrolled into the phase 2 trial of gedatolisib in the PI3K-subgroup, and the overall response rate and the disease control rate were 6.7% and 20%, respectively. The MYC-subgroup or NSCLC-subgroup was associated with unfavorable clinical outcomes in this trial. ConclusionsMolecular classification of SCLC by genetic approach is beneficial for predicting the treatment outcomes and effectively guiding the clinical choices.

Circulating tumor DNA fraction predicts residual cancer burden post-neoadjuvant chemotherapy in triple negative breast cancer

PurposePathologic response after preoperative/neoadjuvant chemotherapy (NAC) is a continuum that can range from complete pathologic response (pCR) to extensive residual disease (RD). We hypothesized that post-NAC plasma circulating tumor DNA (ctDNA) fraction (TF) reflect pathologic response as continuum measured by the residual cancer burden (RCB) score. MethodsctDNA was assessed using the PredicineBEACON assay, that interrogates up to 50 personalized tumor variants and 500 hot-spot mutations, in 3 mL archived plasma isolated from EDTA tubes collected post-NAC but before surgery from 44 patients with stage I/III triple negative breast cancer (TNBC) who received durvalumab and weekly nab-paclitaxel followed by doxorubicin/cyclophosphamide on a clinical trial (NCT02489448). Circulating free tumor DNA methylation profiling was performed using PredicineEPIC assay in paired pre- and post-NAC plasma (N=30). Youden’s J-statistics was used to define optimal thresholds. ResultsWe observed a significant positive correlation (r=0.45, p=0.004) between RCB scores and post-NAC TF. The median TF was significantly lower in pCR (RCB0) compared to RD patients (0.06% vs. 0.3%, p=0.02). Using a TF positivity threshold of ≥0.05%, PredicineBEACON had 58% sensitivity at 83% specificity for identifying RD. TF was higher in patients who experienced recurrence (n=9) compared to those without recurrence (n=35) (0.17% vs. 0.05% TF, p=0.029). There was significant decrease in methylation signal in post- compared to pre-NAC samples, but post-treatment methylation signal was lower in cases with pCR vs RD. ConclusionsPost-NAC plasma tumor fraction and change in tumor-derived methylation signal predict the extent of RD and recurrence in TNBC patients.

Comparative Plastomics of Plantains (Plantago, Plantaginaceae) as a Tool for the Development of Species-Specific DNA Barcodes.

Plantago (plantains, Plantaginaceae) is a cosmopolitan genus including over 250 species used as functional foods, forage, and traditional medicine. Among them, Plantago lanceolata is commonly used as an ingredient of herbal products, but the close similarity to other Plantago species can cause misidentifications with potentially serious consequences for product safety/quality. To test the possibility of developing species-specific barcoding markers, we de novo assembled plastome sequences of individuals of Plantago argentea, Plantago atrata, P. lanceolata, and Plantago maritima. These genomes were characterized in comparison with both previously sequenced conspecific accessions and other publicly available plastomes, thus providing an assessment of both intraspecific and interspecific genetic variation in Plantago plastomes. Additionally, molecular evolutionary analyses indicated that eleven protein-coding genes involved in different plastid functions in Plantago plastomes underwent positive selection, suggesting they might have contributed to enhancing species' adaptation during the evolutionary history of Plantago. While the most variable mutational hotspots in Plantago plastomes were not suitable for the development of species-specific molecular markers, species-specific polymorphisms could discriminate P. lanceolata from its closest relatives. Taken together, these results highlight the potential of plastome sequencing for the development of molecular markers to improve the identification of species with relevance in herbal products.

A capillary electrophoresis-based assay for carrier screening of the hotspot mutations in the CYP21A2 gene

Molecular genetic analysis of the cytochrome P450 family 21 subfamily A member 2 (CYP21A2) gene is challenging owing to the highly homologous with its pseudogene. A reliable approach for the large-scale population screening of CYP21A2 is required. This study aimed to establish and evaluate a capillary electrophoresis-based assay for hotspot mutation carrier screening of the CYP21A2 gene. A total of 22 different variants in the CYP21A2 gene were detected by a capillary electrophoresis-based assay consisting of single nucleotide primer extension (SNaPshot) and high-throughput ligation-dependent probe amplification (HLPA) in the Chinese population, and the results were validated by alternative methods. Among the 5376 subjects, 1.51 % (81/5376) individuals were identified as CYP21A2 pathogenic variant carriers, with a carrier rate of 1/66. A total of 11 different variants were identified, of which c.293-13A/C > G (33.33 %) was the most common variant, followed by c.844C > T (19.75 %), c.518T > A (19.75 %), and Del/Con (16.05 %). There was a 100 % concordance between capillary electrophoresis and alternative method results. Furthermore, a total of 63 individuals (1.17 %, 63/5376) carried the c.955C > T (p. Q319∗) variant, among which 61 (61/63, 96.83 %) had a duplicated CYP21A2 gene and are therefore not carriers of a CYP21A2 allele. In conclusion, the capillary electrophoresis-based assay is an accurate and effective approach for genotyping the CYP21A2 gene and has the potential for the large-scale population screening of CYP21A2.

Clinical and genetic characteristics of 100 consecutive patients with Birt-Hogg-Dubé syndrome in Eastern Chinese region

BackgroundAlthough an increasing number of patients with Birt-Hogg-Dubé syndrome (BHD) are being recognized in China, clinical and genetic characteristics are not well-defined. In addition, revised diagnostic criteria for the Chinese population was proposed in 2023, we aimed to explore their utility in clinical practice at a rare lung disease center.MethodsWe retrospectively analyzed the data of 100 consecutive patients with BHD diagnosed according to the revised Chinese BHD criteria, encountered at the First Affiliated Hospital of University of Science and Technology of China from Jan 2017 to June 2023.ResultsThere were 100 patients (including 63 females) from 65 unrelated families in Eastern China, mostly Anhui Province. The common manifestations were pulmonary cysts (99%), pneumothorax (60%), and skin lesions (77%). Renal cancer and renal angiomyolipoma were detected in 5 patients each. 37% of patients had no family history of BHD. In total, 25 FLCN germline mutations were detected, including 6 novel mutations. In addition to hotspot mutation c.1285delC/dupC (17%), the most common mutations were c.1015 C > T (16%), c.1579_1580insA (14%), and exons 1–3 deletion (11%) in FLCN. Higher risk of pneumothorax was associated with exons 1–3 deletion mutation and c.1177-5_1177-3de1CTC compared to the hotspot mutation c.1285dupC (91% [95% CI: 0.31, 46.82, p = 0.015] and 67% [95% CI: 0.35, 71.9, p = 0.302] vs. 30%, respectively). The average delay in diagnosis was 7.6 years after initial symptoms. Chinese diagnostic criteria were mostly consistent with typical pulmonary presentations with supportive genetic evidence.ConclusionIn the Eastern Chinese region, patients with BHD present most commonly with pulmonary cysts associated with pneumothorax and skin lesions. However, low incidence of renal cancer along with unexpected renal angiomyolipoma was observed. Genotypic spectrum differed from that reported from other global regions, and genotype association of pneumothorax warrants further research. The revised Chinese criteria for BHD seem more appropriate in diagnosing BHD in Chinese patients.

Complete chloroplast genome of a montane plant Spathoglottis aurea Lindl.: Comparative analyses and phylogenetic relationships among members of tribe collabieae.

The yellow-flowered Spathoglottis aurea (tribe Collabieae; family Orchidaceae) is native to the mountainous areas of Peninsular Malaysia. The species is well known as an ornamental plant and for its role in artificial hybrid breeding. There is an interesting evolutionary relationship between S. aurea and the geographically isolated S. microchilina from Borneo that has encouraged further study of the S. aurea populations, but the genomic resource for S. aurea has not yet been reported. The present study reports the first work to characterize a chloroplast (cp) genome among the Spathoglottis genus. The complete cp genome of S. aurea was assembled from a sequence generated by the Illumina platform and analysed in comparison with other Collabieae species available in the GenBank database. The cp genome of S. aurea is 157,957 base pairs (bp) in length with guanine-cytosine (GC) content of 37.3%. The genome possessed a typical quadripartite cp genome structure with large single-copy (LSC) (86,888 bp), small single-copy (SSC) (18,125 bp) and inverted repeat (IR) (26,472 bp) sequences. A total of 134 genes were annotated, with 88 protein coding genes (PCGs), 38 transfer RNA (tRNA) genes and eight ribosomal RNA (rRNA) genes. Overall, 80 simple sequence repeats (SSR) or microsatellites were identified. Comparative analysis with other Collabieae species revealed high conservation in the cp genome arrangements with minimal difference in genome lengths. However, several mutational hotspots were also detected, with high potential to be developed as genetic markers for phylogenetic analysis. Characterization of the S. aurea cp genome revealed its conserved nature without gene loss or rearrangements when compared to other species of the Collabieae tribe. Phylogenetic analysis of Collabieae species also revealed that S. aurea has a distant evolutionary relationship to other members of the Collabieae species, despite the presence of problematic genera such as Phaius and Cephalantheropsis.

Pervasive Induction of Regulatory Mutation Microclones in Sun-exposed Skin.

Carcinogen-induced mutations are thought near-random, with rare cancer-driver mutations underlying clonal expansion. Using high-fidelity Duplex Sequencing to reach a mutation frequency sensitivity of 4×10 -9 per nt, we report that sun exposure creates pervasive mutations at sites with ∼100-fold UV-sensitivity in RNA-processing gene promoters - cyclobutane pyrimidine dimer (CPD) hyperhotspots - and these mutations have a mini-driver clonal expansion phenotype. Numerically, human skin harbored 10-fold more genuine mutations than previously reported, with neonatal skin containing 90,000 per cell; UV signature mutations increased 8,000-fold in sun-exposed skin, averaging 3×10 -5 per nt. Clonal expansion by neutral drift or passenger formation was nil. Tumor suppressor gene hotspots reached variant allele frequency 0.1-10% via 30-3,000 fold clonal expansion, in occasional biopsies. CPD hyperhotspots reached those frequencies in every biopsy, with modest clonal expansion. In vitro, tumor hotspot mutations arose occasionally over weeks of chronic low-dose exposure, whereas CPD hyperhotspot mutations arose in days at 1000-fold higher frequencies, growing exponentially. UV targeted mini-drivers in every skin cell.

Molecular simulation reveals that pathogenic mutations in BTB/ANK domains of Arabidopsis thaliana NPR1 circumscribe the EDS1-mediated immune regulation

The NPR1 (nonexpressor of pathogenesis-related genes 1) is a key regulator of the salicylic-acid-mediated immune response caused by pathogens in Arabidopsis thaliana. Mutations C150Y and H334Y in the BTB/ANK domains of NPR1 inhibit the defense response, and transcriptional co-activity with enhanced disease susceptibility 1 (EDS1) has been revealed experimentally. This study examined the conformational changes and reduced NPR1–EDS1 interaction upon mutation using a molecular dynamics simulation. Initially, BTBC150YNPR1 and ANKH334YNPR1 were categorized as pathological mutations rather than others based on sequence conservation. A distant ortholog was used to map the common residues shared among the wild-type because the mutations were highly conserved. Overall, 179 of 373 residues were determining the secondary structures and fold versatility of conformations. In addition, the mutational hotspots Cys150, Asp152, Glu153, Cys155, His157, Cys160, His334, Arg339 and Lys370 were crucial for oligomer-to-monomer exchange. Subsequently, the atomistic simulations with free energy (MM/PB(GB)SA) calculations predicted structural displacements engaging in the N-termini α5133-178α7 linker connecting the central ANK regions (α13260–290α14 and α18320–390α22), where prominent long helices (α516) and short helices (α310) replaced with β-turns and loops disrupting hydrogen bonds and salt bridges in both mutants implicating functional regulation and activation. Furthermore, the mutation repositions the intact stability of multiple regions (L13C149-N356α20BTB/ANK-α17W301-E357α21N−ter/coiled-coil) compromising a dynamic interaction of NPR1–EDS1. By unveiling the transitions between the distinct functions of mutational perception, this study paves the way for future investigation to orchestrate additive host-adapted transcriptional reprogramming that controls defense-related regulatory mechanisms of NPR1s in plants.

AlphaFold2 Modeling and Molecular Dynamics Simulations of the Conformational Ensembles for the SARS-CoV-2 Spike Omicron JN.1, KP.2 and KP.3 Variants: Mutational Profiling of Binding Energetics Reveals Epistatic Drivers of the ACE2 Affinity and Escape Hotspots of Antibody Resistance.

The most recent wave of SARS-CoV-2 Omicron variants descending from BA.2 and BA.2.86 exhibited improved viral growth and fitness due to convergent evolution of functional hotspots. These hotspots operate in tandem to optimize both receptor binding for effective infection and immune evasion efficiency, thereby maintaining overall viral fitness. The lack of molecular details on structure, dynamics and binding energetics of the latest FLiRT and FLuQE variants with the ACE2 receptor and antibodies provides a considerable challenge that is explored in this study. We combined AlphaFold2-based atomistic predictions of structures and conformational ensembles of the SARS-CoV-2 spike complexes with the host receptor ACE2 for the most dominant Omicron variants JN.1, KP.1, KP.2 and KP.3 to examine the mechanisms underlying the role of convergent evolution hotspots in balancing ACE2 binding and antibody evasion. Using the ensemble-based mutational scanning of the spike protein residues and computations of binding affinities, we identified binding energy hotspots and characterized the molecular basis underlying epistatic couplings between convergent mutational hotspots. The results suggested the existence of epistatic interactions between convergent mutational sites at L455, F456, Q493 positions that protect and restore ACE2-binding affinity while conferring beneficial immune escape. To examine immune escape mechanisms, we performed structure-based mutational profiling of the spike protein binding with several classes of antibodies that displayed impaired neutralization against BA.2.86, JN.1, KP.2 and KP.3. The results confirmed the experimental data that JN.1, KP.2 and KP.3 harboring the L455S and F456L mutations can significantly impair the neutralizing activity of class 1 monoclonal antibodies, while the epistatic effects mediated by F456L can facilitate the subsequent convergence of Q493E changes to rescue ACE2 binding. Structural and energetic analysis provided a rationale to the experimental results showing that BD55-5840 and BD55-5514 antibodies that bind to different binding epitopes can retain neutralizing efficacy against all examined variants BA.2.86, JN.1, KP.2 and KP.3. The results support the notion that evolution of Omicron variants may favor emergence of lineages with beneficial combinations of mutations involving mediators of epistatic couplings that control balance of high ACE2 affinity and immune evasion.