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Dataset Information

Immune-related lncRNA classification of head and neck squamous cell carcinoma.


ABSTRACT:

Background

Long noncoding RNAs (lncRNAs) play a critical role in innate and adaptive immune responses. Thus, we aimed to identify ideal subtypes for head and neck squamous cell carcinoma (HNSCC) based on immune-related lncRNAs.

Methods

TCGA HNSCC cohort was divided into two datasets (training and validation dataset), and 960 previously characterized immune-related lncRNAs were extracted for non-negative matrix factorization analysis. We characterized our HNSCC subtypes based on biological behaviors, immune landscape and response to immunotherapy in both training and validation cohort. A lncRNA-signature was generated to predict our HNSCC subtypes, and essential lncRNAs involved in tumor microenvironment (TME) were identified.

Results

We developed and validated two HNS

SUBMITTER: Cao R 

PROVIDER: S-EPMC8760760 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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