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Dataset Information

Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancer.


ABSTRACT:

Background

Lactylation is implicated in various aspects of tumor biology, but its relation to breast cancer remains poorly understood. This study aimed to explore the roles of the lactylation-related genes in breast cancer and its association with the tumor microenvironment.

Methods

The expression and mutation patterns of lactylation-related genes were analyzed using the breast cancer data from The Cancer Genome Atlas (TCGA) database and GSE20685 datasets. Unsupervised clustering was used to identify two lactylation clusters. A lactylation-related gene signature was developed and validated using the training and validation cohorts. Immune cell infiltration and drug response were assessed.

Results

We analyzed the mRNA expression, copy number variations, somatic mutatio

SUBMITTER: Jiao Y 

PROVIDER: S-EPMC10838739 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature