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Biomedical subjects

Qing Zhou

Publications and source records attributed to Qing Zhou.

7 recordsLinked to original sources

Novel splice site variants in GBA1 are associated with Gaucher disease and genotype-phenotype correlations.

BACKGROUND: Variants in GBA1 are associated with neurodegenerative disease. This study aimed to explore pathogenic GBA1 variants. METHODS: Four patients with progressive myoclonic epilepsy (PME) and extremely low β-glucosidase levels were recruited. Whole-exome sequencing and long-range PCR were performed to identify GBA1 variants. Bioinformatic analyses were used to predict the impact of the identified variants. A literature review was performed to explore the genotype-phenotype correlations. GBA1 expression data across different brain regions and developmental stages were analyzed using the BrainSpan database. RT-PCR was performed to verify the splicing effects. RESULTS: Compound heterozygous GBA1 variants were identified in four patients. Five distinct variants were detected, including two novel splice site variants (c.308-2A>G and c.762-2A>C) and three previously reported variants. All identified variants were rare or absent in gnomAD. Splice site variants c.308-2A>G and c.762-2A>C were predicted to cause aberrant splicing. Minigene-based splicing assays coupled with RT-PCR and Sanger sequencing confirmed that both variants cause complete exon skipping (exon 4 and exon 7, respectively). All patients presented with PME onset in childhood/adolescence, intellectual regression, low β-glucosidase, and diffuse brain atrophy and were subsequently diagnosed with Gaucher disease type 3. GBA1 expression in the brain showed two distinct peaks: one in infancy and another after five years of age. The onset age of PME aligned with the second GBA1 expression peak (after five years of age). CONCLUSION: This study identified compound heterozygous GBA1 variants, including two novel candidate pathogenic splice site variants, in Gaucher disease type 3 patients, expanding the known mutational spectrum.

Humans

A phase 2 study of encorafenib in combination with binimetinib for Chinese participants with BRAFV600E mutated metastatic non-small cell lung cancer: Results from the OCEAN II study.

PURPOSE: The ongoing OCEAN II study (ClinicalTrials.gov identifier: NCT05195632) evaluates encorafenib in combination with binimetinib (E+B) in Chinese participants with BRAFV600E-mutated metastatic non-small cell lung cancer (NSCLC). METHODS: Participants with metastatic unresectable stage IV BRAFV600E-mutated NSCLC (treatment-naïve or with prior systemic therapy excluding BRAF/MEK-inhibitors), were enrolled in a phase 2 study with two parts: safety lead-in (SLI) and pivotal part (PP). Participants received daily oral encorafenib (450mg) and twice daily oral binimetinib (90mg total). Primary endpoints were dose-limiting toxicities (DLT) during SLI and confirmed objective response rate by independent central review (cORR-ICR) during PP. Secondary endpoints were other measures of efficacy, safety, and pharmacokinetics. RESULTS: In total, 63 participants were enrolled. One DLT (non-serious Grade 3 lipase increased) during SLI considered possibly related to E+B resolved without intervention, supporting initiation of PP. Pre-defined statistical efficacy criteria on the first 50 participants were met. In the main analysis, cORR-ICRwas59% (95%CI 45-72). At a later ad hoc analysis, cORR-ICR was 61% (95%CI 47-74), disease control rate 87% (95%CI 75-95). Medians (95%CI) were, time-to-response 1.8 months, duration of response 17.5 months, progression-free survival 13.8 months (7.5-not estimable), overall survival 27.9 months (14.7-30.0). 98.4% of participants experienced ≥1 treatment-related TEAE, and 55.6% had any Grade ≥3 TEAE. Nine (14.3%) participants discontinued any drug due to adverse events. CONCLUSION: These data confirm the clinical benefit of E+B in Chinese participants with BRAFV600E-mNSCLC, a population with distinct genomic and disease characteristics. No new safety concerns were identified in Chinese participants.

Adult

Beyond mutations: epigenetic and fragmentomic landscapes of cfDNA in lung cancer.

INTRODUCTION: Lung cancer is the most frequently diagnosed cancer worldwide and the leading cause of cancer-related mortality. Cell-free DNA (cfDNA) has emerged as a powerful biomarker in cancer detection. Early diagnostics efforts often leverage cancer-associated mutations present in cfDNA, but beyond such mutation-based assays, recent advances have shed light on other non-mutational features. The analysis of cfDNA epigenetic profiles and fragmentation patterns, known as 'fragmentomics,' has revealed a wealth of data to explore in noninvasive lung cancer diagnosis. AREAS COVERED: This review will explore this new narrative, summarizing the current understanding and use of cfDNA epigenetic modifications and fragmentomic patterns, while integrating findings to illustrate their vast potential in early-stage detection and therapeutics. By considering a range of epigenetic and fragmentomic features, cfDNA methylation (5mC, 5hmC), histone modifications, size profiles, and end signatures, this review highlights how the multidimensional integration of such signals shows promise in refining early-stage lung cancer and guiding therapeutic decisions. EXPERT OPINION: cfDNA epigenetic and fragmentomic analyses represent a transformative frontier in lung cancer diagnostics and monitoring. While these approaches demonstrate significant potential, most studies are limited by modest cohort sizes and reports of survival benefits, underscoring the need for large-scale validation and deeper mechanistic understanding.

Humans

Deficiency of AP1M2 Causes a New Autoinflammatory Disease With Colitis.

OBJECTIVE: This study was the first to identify the biallelic loss-of-function variant in AP1M2 as the cause of autoinflammatory disease with colitis and aimed to elucidate the pathogenesis of AP1M2 deficiency in mice and humans. METHODS: We collected a blood sample and serum sample from a patient for genetic diagnosis and determination of inflammatory cytokines, respectively. Ap1m2-deficient mice on the C57BL/6 background and DLD-1 cells were used to dissect the functional role of Ap1m2 in serum and intestines. Stereo-seq was performed on Ap1m2-/- and Ap1m2-/-::Tnfr1-/- mouse samples to investigate the regulatory role of Tnfr1 signaling in the pathogenesis of Ap1m2 deficiency-caused intestinal inflammation. Superrevolution imaging and clathrin-coated vesicle enrichment were used to explore the molecular mechanism by which AP1M2 suppresses NF-κB activation and chemokine production. RESULTS: Ap1m2-/- mice exhibited elevated chemokine production in serum and spontaneously developed intestinal inflammation, which phenocopies the patient with the AP1M2 variant. Mechanistically, the deficiency of intestinal epithelial specific AP1M2 expression resulted in accumulation of TNFR1-signaling downstream proteins, including RIPK1, TBK1, IKKα/β, and NEMO, leading to enhanced NF-κB activation and subsequent chemokine overproduction. Tnfr1 knockout rescued gastrointestinal inflammation induced by Ap1m2 deficiency through suppressing NF-κB activation and chemokine production. CONCLUSION: This study identifies the deficiency of AP1M2 as the cause of a new autoinflammatory disease with colitis and highlights the critical function of AP-1 in suppressing NF-κB activation and chemokine production.

Animals

Diagnostic Implications and Correlates of Plasma Adenosine Deaminase 2 Activity and ADA2 Variants.

OBJECTIVE: Deficiency of adenosine deaminase 2 (DADA2) is a monogenic autoinflammatory disease manifested as polyarteritis nodosa, stroke, and bone marrow failure. Leveraging an international cohort of 200 DADA2 cases, we aimed to characterize the diagnostic utility of a plasma ADA2 enzyme activity assay and understand the implications of residual ADA2 activity. METHODS: Data were collected from individuals who underwent ADA2 testing from 2018 to 2025. Plasma ADA2 activity was determined using an established spectrophotometric assay. ADA2 variants were analyzed in transfected cells by enzyme assay and western blotting. RESULTS: We determined that plasma ADA2 activity is 99.0% and 96.0% sensitive and 99.7% and 98.8% specific in distinguishing genetically confirmed DADA2 cases from controls and carriers, respectively. Eighteen individuals with DADA2 (9%) possessed detectable ADA2 activity, including several cases with levels seen in carriers. Residual ADA2 activity was associated with the vasculitis/inflammatory phenotype but not with disease severity. Genotype analysis revealed that 14 of 18 cases with residual plasma activity possessed at least one hypomorphic missense variant with greater than 20% residual ADA2 function when overexpressed in 293T cells, often occurring in trans with a more deleterious variant. In vitro analysis revealed that missense ADA2 variants exert variable dominant-negative effects by forming large intracellular protein aggregates via disulfide bond formation at a cysteine residue (Cys408). CONCLUSION: We confirmed the utility of plasma ADA2 activity as a diagnostic assay and showed that the inflammatory phenotype of DADA2 occurred in cases with residual activity. In vitro findings illustrate potential interactions of ADA2 variants to synergistically disrupt protein function.

Humans

Predicting telomerase reverse transcriptase promoter mutation status in glioblastoma by whole-tumor multi-sequence magnetic resonance texture analysis.

OBJECTIVE: This study aimed to determine the feasibility of preoperative multi-sequence magnetic resonance texture analysis (MRTA) for predicting TERT promoter mutation status in IDH-wildtype glioblastoma (IDHwt GB). METHODS: The clinical and imaging data of 111 patients with IDHwt GB at our hospital between November 2018 and June 2023 were retrospectively analyzed as the training set, and those of 23 patients with IDHwt GB between July 2023 and November 2023 were interpreted as the validation set. We used molecular sequencing results to classify the training set into TERT promoter mutation and wildtype groups. Textural features of the whole-tumor volume were extracted, including T2-weighted imaging (T2WI), T2-fluid-attenuated inversion recovery, apparent diffusion coefficient (ADC) map, and contrast-enhanced T1-weighted imaging (CE-T1). All textural features were obtained using open-source pyradiomics. After feature selection, logistic regression was used to build prediction models, and a nomogram was generated. Finally, the model was validated using validation cohort. RESULTS: The CE-T1_Model (AUC 0.704) had a better predictive ability than the T2_Model (AUC 0.684) and ADC_Model (AUC 0.624). The MRI_Combined_Model (CE-T1, T2, and ADC texture features) (AUC 0.780) had a better predictive ability than the Clinical_Model (AUC 0.758). The Combined_Model (CE-T1, T2, ADC texture features, and clinical features) had the best predictive performance (AUC 0.871), with a sensitivity, specificity, and accuracy of 82.60 %, 83.30 %, and 80.18 %, respectively. The AUC, sensitivity, specificity, and accuracy in the validation cohort were 0.775, 86.70 %, 75.00 %, and 69.57 %, respectively. CONCLUSIONS: Whole-tumor multi-sequence MRTA can be used as non-invasive quantitative parameters to assist in the preoperative clinical prediction of TERT promoter mutation status in IDHwt GB.

Humans