Cost-effective low-coverage whole-genome sequencing assay for the risk stratification of gastric cancer

CD147 protein molecule expression and chromosomal instability in the pathogenesis and prognosis of thyroid cancer

Low-coverage whole genome sequencing was performed for tissue samples from thyroid patients who received surgery treatment from 2015 to 2021. The potential biological significance of CD147 protein in thyroid cancer was explored through correlation analysis of CD147 protein expression level and clinical features of thyroid cancer patients. Low coverage whole genome sequencing was performed on the extracted DNA samples. The copy number analysis software was used to analyze the sequencing data, calculate the copy number of CD147 gene, further verify the expression of CD147 gene, and analyze its association with clinical features. The relationship between CIN and high risk was evaluated in the internal cohort. The association of CIN with the disease-free survival was validated in the cohort from The Cancer Genome Atlas Program. Thyroglobulin plays a key role in regulating thyroid function and maintaining normal metabolic rate. By sequencing tissue samples from this study, we can gain a deeper understanding of the association between cin and thyroid disease. The percentage of high risk patients in the multiple CIN group (77.8 %) was significantly higher than that in the 22q negative group (31.3 %), BRAF V600E group (22.2 %) and all negative group (25.0 %; p = 0.043).

Prospects in the application of ultrasensitive chromosomal aneuploidy detection in precancerous lesions of gastric cancer

Gastric cancer (GC) is a prevalent malignant tumor within the digestive system, with over 40% of new cases and deaths related to GC globally occurring in China. Despite advancements in treatment modalities, such as surgery supplemented by adjuvant radiotherapy or chemotherapeutic agents, the prognosis for GC remains poor. New targeted therapies and immunotherapies are currently under investigation, but no significant breakthroughs have been achieved. Studies have indicated that GC is a heterogeneous disease, encompassing multiple subtypes with distinct biological characteristics and roles. Consequently, personalized treatment based on clinical features, pathologic typing, and molecular typing is crucial for the diagnosis and management of precancerous lesions of gastric cancer (PLGC). Current research has categorized GC into four subtypes: Epstein-Barr virus-positive, microsatellite instability, genome stability, and chromosome instability (CIN). Technologies such as multi-omics analysis and gene sequencing are being employed to identify more suitable novel testing methods in these areas. Among these, ultrasensitive chromosomal aneuploidy detection (UCAD) can detect CIN at a genome-wide level in subjects using low-depth whole genome sequencing technology, in conjunction with bioinformatics analysis, to achieve qualitative and quantitative detection of chromosomal stability. This editorial reviews recent research advancements in UCAD technology for the diagnosis and management of PLGC.