A lepidic gene signature predicts patient prognosis and sensitivity to immunotherapy in lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma, the most common type of lung cancer, has a high level of morphologic heterogeneity and is composed of tumor cells of multiple histological subtypes. It has been reported that immune cell infiltration significantly impacts clinical outcomes of patients with lung adenocarcinoma. However, it is unclear whether histologic subtyping can reflect the tumor immune microenvironment, and whether histologic subtyping can be applied for therapeutic stratification of the current standard of care.

Methods

We inferred immune cell infiltration levels using a histological subtype-specific gene expression dataset. From differential gene expression analysis between different histological subtypes, we developed two gene signatures to computationally determine the

SUBMITTER: Nguyen TT 

PROVIDER: S-EPMC8753834 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature