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Abstract: Objective To investigate the role and clinical association between betaine
homocysteine methyltransferase (BHMT) and hepatocellular carcinoma (HCC) by
bioinformatics methods, in order to provide new insights for the clinical diagnosis and
treatment of HCC. Methods The expression levels of BHMT in pan-cancer were analyzed
by the online software Sanger Box. The expression levels of BHMT mRNA, the methylation
data of BHMT in HCC and the clinical characteristics of patients, as well as the relationship
between BHMT expression and these data were analyzed by UCSC Xena database. The
correlation between BHMT expression and immune cell infiltration in HCC was analyzed
by Timer online software. GO functional enrichment and KEGG pathway enrichment
analysis of BHMT in HCC were performed with LinkedOmics online software. Paraffin
embedded specimens from 28 eligible HCC patients in The Ninth Hospital of Nanchang
from 2008 to 2018 were collected, and the expression levels of BHMT protein were
detected by immunohistochemical methods. Results Data from The Cancer Genome Atlas
(TCGA) and the Genotype-Tissue Expression (GTEx) project indicated that BHMT was
downregulated in multiple tumor types, including HCC. Consistently, UCSC Xena analysis
showed significantly reduced BHMT mRNA levels in HCC. Patients with low BHMT
mRNA expression had significantly shorter survival time than those with high BHMT mRNA
expression (Log rank χ 2 = 5.812, P = 0.0159); the proportion of males was higher in low
BHMT mRNA expression group than in high expression group (χ 2 = 46.600,P < 0.001).
No statistically significant differences were observed in HCC Edmondson-Steiner grade,
AJCC stage, TNM stage, or survival state between two groups (all P > 0.05). A negative
correlation was observed between BHMT mRNA expression and its DNA methylation level
(r = -0659, P < 0.001). Furthermore, BHMT expression was correlated with 9 methylation
sites including cg07418518 and cg18483750 (all P < 0.05), and the methylation levels of
these 9 sites differed significantly between HCC tissues and normal tissues. Clinical samples
analysis also demonstrated that the expression level of BHMT protein in HCC tissues was
significantly lower than that in adjacent non-tumor tissues (median: 3.000 vs. 1.000; U = 258,
P = 0.0401). A statistically significant difference was observed in microvascular invasion
status between patients with high BHMT protein expression and those with low expression
(χ2 = 7.133, P = 0.008). The relative expression level of CD4 protein in HCC tissues
was significantly lower than that in adjacent non-tumor tissues (median: 3.000 vs. 1.000,
U = 215, P < 0.001). GO analysis revealed that BHMT in HCC was primarily enriched in
biological processes (BP) related to biological regulation, metabolic processes, and response
to stimuli; cellular components (CC) enrichment was associated with structures including
cell membrane, nucleus, and membrane lumen; and molecular functions (MF) enrichment
was involved in protein binding, ion binding, and nucleic acid binding. KEGG pathway
analysis indicated that pathways positively correlated with BHMT were mainly enriched in
substance metabolism (including lipids, amino acids, sterols, etc.) and response processes
(such as acute inflammatory stimulus response, xenobiotic stimulus response, etc.); whereas
pathways negatively correlated with BHMT were primarily enriched in processes including
cell cycle, signaling pathways, organismal biochemical reactions, and immune cell activation.
Conclusion BHMT played a crucial role on the development and progression of HCC.
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