Unknown

Dataset Information

Characterization of the alternative splicing landscape in lung adenocarcinoma reveals novel prognosis signature associated with B cells.


ABSTRACT:

Background

Lung cancer is the second most commonly diagnosed cancer and the leading cause of cancer-related death. Malignant pleural effusion (MPE) is a special microenvironment for lung cancer metastasis. Alternative splicing, which is regulated by splicing factors, affects the expression of most genes and influences carcinogenesis and metastasis.

Methods

mRNA-seq data and alternative splicing events in lung adenocarcinoma (LUAD) were obtained from The Cancer Genome Atlas (TCGA). A risk model was generated by Cox regression analyses and LASSO regression. Cell isolation and flow cytometry were used to identify B cells.

Results

We systematically analyzed the splicing factors, alternative splicing events, clinical characteristics, and immunologic features of LUAD in the

SUBMITTER: Shao MM 

PROVIDER: S-EPMC10335703 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature