Deciphering Heterogeneity and Cellular Crosstalk in Non-Small Cell Lung Cancer (NSCLC) through Single Cell RNA Sequencing Analysis (scRNA-seq Analysis)

Using the GEO dataset GSE148071[2], which comprises 42 tissue samples from advanced NSCLC patients, we identify 11 main cell types and 48 subtypes. Immune and stromal cells tend to cluster based on cell type, while cancer cells exhibit patient-specific diversity. We create a detailed map of these cells and their potential roles, discovering novel markers for further investigation.