Identification of IRAK1BP1 as a candidate prognostic factor in lung adenocarcinoma.

ABSTRACT:

Introduction

Lung cancer is one of the major causes of cancer-related mortality worldwide. High-throughput RNA sequencing (RNA-seq) of surgically removed tumors has been used to identify new biomarkers of lung cancer; however, contamination by non-tumor cells in the tumor microenvironment significantly interferes with the search for novel biomarkers. Tumor organoids, as a pre-clinical cancer model, exhibit similar molecular characteristics with tumor samples while minimizing the interference from other cells.

Methods and results

Here we analyzed six RNA-seq datasets collected from different organoid models, in which cells with oncogenic mutations were reprogrammed to mimic lung adenocarcinoma (LUAD) tumorigenesis. We uncovered 9 LUAD-specific biomarker genes by integrating t

SUBMITTER: Guo L 

PROVIDER: S-EPMC10040777 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature