Signatures of malignant cells and novel therapeutic targets revealed by single-cell sequencing in lung adenocarcinoma.

ABSTRACT:

Background

Single-cell transcriptomics has been used to investigate various tumors to elucidate the molecular distinction of all cell type compositions of a complex mix.

Aims

This study aimed to investigate malignant-cell-specific genes to explore diagnostic and therapeutic biomarkers using single-cell transcriptomic data of lung adenocarcinoma.

Materials & methods

10X single-cell RNA-seq data of fourteen patients with lung adenocarcinoma were analyzed. Genes that expressed differentially and those with higher confidence to distinguish tumor cells from normal cells were picked out using the ROC curves. The LASSO regression method was used to select most markedly correlated genes to predict the malignancy of every single cell within a model. We also conducted further e

SUBMITTER: Liang J 

PROVIDER: S-EPMC9160812 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature