ArticleCellular oncology (Dordrecht, Netherlands)2024
Lactate score classification of hepatocellular carcinoma helps identify patients with tumors that respond to immune checkpoint blockade therapy.
Article in Cellular oncology (Dordrecht, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- A pathomics model for predicting lactate-related prognostic risk groups and their biological mechanisms in lung adenocarcinoma.Translational cancer research · 2026Article
- Lactate metabolism-related interaction perturbation network enables robust stratification of hepatocellular carcinoma.Discover oncology · 2026Article
- Roles of lactate and lactylation in tumor immune suppression and drug resistance.Frontiers in immunology · 2026Review
- Myeloperoxidase inhibits prostate cancer progression, suppresses the PI3K/AKT signaling pathway and reshapes the immune microenvironment.Translational andrology and urology · 2025Article
- Exploring PTPN6 as a dual oncogenic and immunological marker in melanoma.Discover oncology · 2025Article
- Lactate-associated gene MCU promotes the proliferation, migration, and invasion of pancreatic ductal adenocarcinoma.BMC cancer · 2025Article
- The integrated single-cell analysis interpret the lactate metabolism-driven immune suppression in triple-negative breast cancer.Discover oncology · 2025Article
- A lactate-related tSNE signature defines prognostic subtypes of bladder cancer and reveals LINC01094-mediated VIM stabilization in metastasis and drug resistance.Frontiers in immunology · 2025Article
- Exploring the prognostic significance of lactate-mitochondria-related genes in prostate cancer.Frontiers in genetics · 2024Article
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6 authors.
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Abstract
purposeHepatocellular carcinoma (HCC) responds poorly to immunotherapy, and the durable response rate is 10-20%. Here, we aim to characterize HCC classifications based on lactate genes to identify patients who may benefit from immunotherapy.
methodsLactate-related genes were applied for HCC classification in the current study, and lactate Cluster 1 (LC1) and lactate Cluster 2 (LC2) were defined. Differential genes from LC1 and LC2 helped define the following lactate phenotype clusters: lactate phenotype Cluster 1 (LPC1), lactate phenotype Cluster 2 (LPC2) and lactate phenotype Cluster 3 (LPC3). Based on the cluster annotation, the lactate score was defined and analyzed to evaluate the immunotherapy response.
resultsAll the classified clusters were analyzed, and they showed different immune signatures. The survival rate of LPC3 was higher than that of LPC2 (LPC3 vs. LPC2, P = 0.027) and LPC1 (LPC3 vs. LPC1, P = 0.027). Then, the lactate score was annotated and confirmed to be effective in predicting responses to immune checkpoint blockade therapy.
conclusionIn the current study, we developed a classification system for HCC and defined the lactate score, which was validated to be partially effective in estimating responses among tumor patients.
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