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Published on: April 12, 2024
Identification of glycolysis-related molecular subtypes and prognostic model in intrahepatic cholangiocarcinoma
Yue Wang1,2, Pengxiang Wang1,2, Hui Liu1,2
1Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Background:
Intrahepatic cholangiocarcinoma (iCCA) is the second most common primary liver tumor, notable for its high heterogeneity. Glycolysis plays a critical role in tumorigenesis, progression, and drug resistance across various malignancies, while the therapeutic implications of targeting glycolysis remain underexplored. This study aims to identify glycolysis-related molecular subtypes, explore their functional heterogeneity, and develop a prognostic model for iCCA.
Methods:
Consensus clustering based on 121 glycolysis-related prognostic genes was performed to classify iCCA patients. Functional enrichment analyses revealed key biological pathways associated with tumor progression. A 9-gene risk model (ALDH1B1, DDIT4, GALE, HK1, HMMR, PGAM1, PGK1, PLOD1, SAP30) was constructed using the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and multivariate Cox regression analysis. HMMR, a glycolysis-related gene, was further investigated for its clinical significance.
Results:
Two molecular subtypes with distinct survival outcomes (p < 0.001) were identified. Functional analyses further revealed that upregulated genes in the C1 subtype were enriched in hypoxia, TNF-α signaling via NF-κB, p53, and apoptosis pathways. A risk model effectively stratified patients into high- and low-risk groups, with worse survival in the high-risk group (p < 0.001, AUC = 0.76 for 1-year, 0.80 for 3-year). A nomogram incorporating the risk score and clinical factors (γ-GT, vascular invasion, lymph node metastasis) achieved a C-index of 0.793. Finally, we identified HMMR as a candidate prognostic biomarker for iCCA patients. Moreover, HMMR was overexpressed in iCCA and associated with poor prognosis, while its knockdown significantly reduced tumor cell proliferation, migration, and invasion (p < 0.001).
Conclusions:
The glycolysis-based risk model enables precise patient stratification and may facilitate clinical decision-making, while HMMR represents a promising therapeutic target, offering novel insights into iCCA prognosis and treatment.
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