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Dataset Information

Investigating subtypes of lung adenocarcinoma by oxidative stress and immunotherapy related genes.


ABSTRACT: Lung adenocarcinoma (LUAD) is one of the most widespread and fatal types of lung cancer. Oxidative stress, resulting from an imbalance in the production and accumulation of reactive oxygen species (ROS), is considered a promising therapeutic target for cancer treatment. Currently, immune checkpoint blockade (ICB) therapy is being explored as a potentially effective treatment for early-stage LUAD. In this research, we aim to identify distinct subtypes of LUAD patients by investigating genes associated with oxidative stress and immunotherapy. Additionally, we aim to propose subtype-specific therapeutic strategies. We conducted a thorough search of the Gene Expression Omnibus (GEO) datasets. From this search, we pinpointed datasets that contained both expression data and survival information.

SUBMITTER: Duan G 

PROVIDER: S-EPMC10684862 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature