An automatic NGS feature extraction algorithm for predicting EBV-associated nasopharyngeal cancer and high-risk mutation.

ABSTRACT: Epstein-Barr virus (EBV) infection is closely associated with the occurrence of nasopharyngeal carcinoma (NPC). The latent membrane protein 1 (LMP1) gene, known for its high heterogeneity, plays a crucial role in the oncogenic potential of EBV associated NPC (EBVaNPC). This study aimed to integrate algorithm with experimental validation to contribute valuable insights into the early detection and risk assessment of EBVaNPC, and investigate the functional significance of LMP1 key mutation. The LMP1 region in clinical EBV-positive subjects was sequenced with amplicon-based next-generation sequencing. An automatic viral sequence feature extraction (ViSFE) approach was developed. Biological implications of predicted key mutation on tumor cell biological behaviors were investigated through qRT-

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12584326 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature