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Dataset Information

Natural killer cell-related prognosis signature characterizes immune landscape and predicts prognosis of HNSCC


ABSTRACT:

Background

Head and neck squamous cell carcinoma (HNSCC), the most common head and neck cancer, is highly aggressive and heterogeneous, resulting in variable prognoses and immunotherapeutic outcomes. Natural killer (NK) cells play essential roles in malignancies’ development, diagnosis, and prognosis. The purpose of this study was to establish a reliable signature based on genes related to NK cells (NRGs), thus providing a new perspective for assessing immunotherapy response and prognosis of HNSCC patients.

Methods

In this study, NRGs were used to classify HNSCC from the TCGA-HNSCC and GEO cohorts. The genes were evaluated using univariate cox regression analysis based on the differential analysis of normal and tumor samples in TCGA-HNSCC conducted using the “limma” R pac

SUBMITTER: Chi H 

PROVIDER: S-EPMC9575041 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature