Construction of molecular subgroups of ulcerative colitis

J.-L. Ma, H.-J. Zhang, C.-F. Zhang, Y.-Y. Zhang, G.-M. Wang

School of Clinical Medicine, Dali University, Dali, China. wgm1991@dali.edu.cn

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• Gastroenterology

OBJECTIVE: Ulcerative colitis (UC), a chronic inflammatory disease of the colon with unknown etiology, is characterized by remission and recurrence. At present, a considerable number of UC cases are misdiagnosed or delayed in diagnosis and treatment. We aimed to identify UC-related genes to aid the development of drugs for this condition.

PATIENTS AND METHODS: Transcriptome data of 362 patients with UC and 126 control subjects were obtained from the Gene Expression Omnibus. The 362 patients with UC were subgrouped using unsupervised machine learning. R software was used to analyze the clinical characteristics of the subgroups, screen subgroup-specific genes, assess the relationships between gene modules and clinical characteristics using weighted gene co-expression network analysis, and perform Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of the subgroups.

RESULTS: Patients with UC were classified into two subgroups. Genes specific to subgroup I included IL21R, ATP8B2, and PLEKHO1. Severe disease tended to be associated with immune cell infiltration; anti-tumor necrosis factor (TNF)-α antibodies and ustekinumab may have been effective in this subgroup. Subgroup II-specific genes included SLC4A4, EPB41L4B, and PLCE1. Patients in this subgroup had mild clinical conditions; however, their disease was more likely to progress to colorectal cancer. Thus, 5-aminosalicylic acid-based drugs may be effective for the treatment of UC in these patients.

CONCLUSIONS: We divided UC into two molecular subgroups based on transcriptome data, providing molecular evidence for the development of diagnostic methods and individualized treatment strategies for UC.

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