Ontology highlight
ABSTRACT: Background
Precision oncology leverages the molecular and genetic characteristics of tumors to enable accurate diagnosis and effective treatment selection. However, recent clinical trials have highlighted the limitations of current approaches and underscored the need to integrate static molecular profiling with functional analyses using patient-derived xenograft (PDX) models-particularly for cancers such as head and neck cancer (HNC), where driver mutations are rare and prognosis remains poor.Methods
Here, we aimed to establish a large-scale PDX library for HNC, termed the Fujita Xenograft Library (FXeL), annotated with detailed clinical information. Since 2022, tumor specimens from over 100 surgical cases at Fujita Health University Hospital have been transplanted into imm
SUBMITTER: Yanagi H
PROVIDER: S-EPMC12916448 | biostudies-literature | 2026 Feb
REPOSITORIES: biostudies-literature