Research title
Explore genetic abnormalities, molecular targets, predictive of drug sensitivity, histomorphology, and biomarkers in lung cancerAnalysis of genetic abnormalities and their biological significance in lung cancer
Research overview
Aims: Small cell carcinoma and large cell neuroendocrine carcinoma (LCNEC) fall under high-grade neuroendocrine carcinomas (HGNEC). HGNEC, characterized by poor prognosis and high treatment resistance, presents subtypes withinSCLC based on ASCL1, NEUROD1, POU2F3, and YAP1 expression levels, each influencing prognosis differently. LCNEC exhibits heterogeneous distribution of these factors, hypothesized to contribute to treatment resistance. Incorporating whole-genome sequencing and spatial transcriptomics, we'll investigate this variability. Leveraging tumor tissue morphology, we'll analyze single-cell factor expression correlations and gene expressions in the microenvironment, aiming to identify new HGNEC therapeutic targets and understand treatment resistance.
Methods: Whole-genome sequencing, High-performance in situ gene expression mapping Xenium (10x Genomics), Visium Spatial Gene Expression data (10X Genomics), Single-cell RNA sequencing data derived from nuclei (10X Genomics), STOMICS spatial transcritome data (BGI)
Targets: Samples from 10 + 10 + 13 patients with pulmonary neuroendocrine carcinoma operated on at the University of Tsukuba and Jichi Medical University Hospital
