Genetic features and pharmacological rescue of novel Kv7.2 variants in patients with epilepsy.

Background: Increasing evidence indicates a robust correlation between epilepsy and variants of the Kv7.2 () channel, which is critically involved in directing M-currents and regulating neuronal excitability within the nervous system. With the advancement of next-generation sequencing, the identification of variants has surged.

Machine learning based on multiplatform tests assists in subtype classification of mature B-cell neoplasms.

Mature B-cell neoplasms (MBNs) are clonal proliferative diseases encompassing over 40 subtypes. The WHO classification (morphology, immunology, cytogenetics and molecular biology) provides comprehensive diagnostic understandings. However, MBN subtyping relies heavily on the expertise of clinicians and pathologists, and differences in clinical experience can lead to variations in subtyping efficiency and consistency.

Circulating tumor HPV DNA as a specific biomarker for cervical cancer.

Objective: The aim of this study was to determine whether circulating tumor human papillomavirus (HPV) DNA is a potential specific biomarker for cervical cancer (CC).

Methods: This retrospective matched study included 87 patients with cervical intraepithelial neoplasia (CIN), 29 CC patients (FIGO IA1-IVA) and 29 HPV-negative controls at Yuhuangding Hospital of Qingdao University (from July 2022 to September 2023). The digital droplet PCR (ddPCR) was used to detect and quantify ctHPV DNA in the plasma of patients with HPV16, 18, 33, 52, or 58-associated CC.

Machine learning models-based on integration of next-generation sequencing testing and tumor cell sizes improve subtype classification of mature B-cell neoplasms.

Background: Next-generation sequencing (NGS) panels for mature B-cell neoplasms (MBNs) are widely applied clinically but have yet to be routinely used in a manner that is suitable for subtype differential diagnosis. This study retrospectively investigated newly diagnosed cases of MBNs from our laboratory to investigate mutation landscapes in Chinese patients with MBNs and to combine mutational information and machine learning (ML) into clinical applications for MBNs, especially for subtype classification.

Methods: Samples from the Catalogue Of Somatic Mutations In Cancer (COSMIC) database were collected for ML model construction and cases from our laboratory were used for ML model validation.

Multi-omics data integration reveals the molecular network of dysregulation IQGAP2-mTOR promotes cell proliferation.

IQGAP2 as a tumor suppressor gene can influence cell proliferation in multiple tumor cell lines. However, the regulation network of cell proliferation resulting solely from the deficiency of IQGAP2 in cells was still unclear. Here, we integrated transcriptome, proteome, and phosphoproteome analyses to investigate the regulatory network of cell proliferation in IQGAP2 knockdown HaCaT and HEK293 cells.

-Mutated Chronic Lymphocytic Leukaemia/Small Lymphocytic Lymphoma as a Distinctive Molecular Subgroup Is Associated with Atypical Immunophenotypes in Chinese Patients.

Chronic lymphocytic leukaemia/small lymphocytic lymphoma (CLL/SLL) is a heterogeneous disease in Western and Chinese populations, and it is still not well characterized in Chinese patients. Based on a large cohort of newly diagnosed CLL/SLL patients from China, we investigated immunophenotypes, genetic abnormalities, and their correlations. Eighty-four percent of the CLL/SLL patients showed typical immunophenotypes with scores of 4 or 5 points in the Royal Marsden Hospital (RMH) scoring system (classic group), and the remaining 16% of patients were atypical with scores lower than 4 points (atypical group).

Establishing an RNA fusions panel in soft tissue sarcoma with clinical validation.

The diagnosis and classification of soft tissue sarcomas (STS) remain challenging because of the rarity and overlapping morphologic manifestations of diverse STS subtypes. Characteristic gene fusions are commonly detected in STS and represent useful diagnostic markers. This study established and validated a custom-designed RNA sequencing panel that identified 64 gene fusions in STS.

Establishment of early diagnosis models for cervical precancerous lesions using large-scale cervical cancer screening datasets.

Background: Human papilloma virus (HPV) DNA test was applied in cervical cancer screening as an effective cancer prevention strategy. The viral load of HPV generated by different assays attracted increasing attention on its potential value in disease diagnosis and progression discovery.

Methods: In this study, three HPV testing datasets were assessed and compared, including Hybrid Capture 2 (n = 31,954), Aptima HPV E6E7 (n = 3269) and HPV Cobas 4800 (n = 13,342).

Analyses of Long-Term Epidemic Trends and Evolution Characteristics of Haplotype Subtypes Reveal the Dynamic Selection on SARS-CoV-2.

The scale of SARS-CoV-2 infection and death is so enormous that further study of the molecular and evolutionary characteristics of SARS-CoV-2 will help us better understand and respond to SARS-CoV-2 outbreaks. The present study analyzed the epidemic and evolutionary characteristics of haplotype subtypes or regions based on 1.8 million high-quality SARS-CoV-2 genomic data.

Mutation landscape of TSC1/TSC2 in Chinese patients with tuberous sclerosis complex.

Genetic testing of TSC1 and TSC2 is important for the diagnosis of tuberous sclerosis complex (TSC), an autosomal dominant neurocutaneous disease. This study retrospectively reviewed 347 samples from patients with clinically suspected TSC being tested for mutations in TSC1 and TSC2 genes using next-generation sequencing and multiplex ligation-dependent probe amplification. Two hundred eighty-one patients (80.

Comprehensive evolution and molecular characteristics of a large number of SARS-CoV-2 genomes reveal its epidemic trends.

Objectives: To further reveal the phylogenetic evolution and molecular characteristics of the whole genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) based on a large number of genomes and provide a basis for the prevention and treatment of SARS-CoV-2.

Methods: Various evolution analysis methods were employed.

Results: The estimated ratio of the rates of non-synonymous to synonymous changes (Ka/Ks) of SARS-CoV-2 was 1.