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Dataset Information

Construction of inflammatory associated risk gene prognostic model of NSCLC and its correlation with chemotherapy sensitivity.


ABSTRACT:

Background

Inflammation is an important pathogenic factor of most malignant tumors. It is essential to understand mechanism underlying inflammation and cancer development, so as to formulate and develop anti-cancer treatment strategies. However, inflammatory-related gene characterization as well as risk model construction in prognosis and response chemotherapy or immunotherapy in NSCLC are still remain unclear.

Methods

A total of 1014 lung cancer samples with RNA-seqencing results were download from The Cancer Genome Atlas (TCGA) database. The patient cohort was randomized as a training and test cohorts, and 200 inflammatory-related genes were selected based on previously published data. Consensus clustering and Enrichment and immune function analyses base on Differential ex

SUBMITTER: Gong Y 

PROVIDER: S-EPMC10124980 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature