ArticleJournal of cancer research and clinical oncology2023
Integrative lactylation and tumor microenvironment signature as prognostic and therapeutic biomarkers in skin cutaneous melanoma.
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 14 citations in OpenAlex.
- A relative methylation ordering biomarker of lactylation-related genes predicts prognosis and therapeutic response in cutaneous melanoma.Epigenetics · 2026Article
- Lactylation-related genes contribute to neurological injury and prognosis of acute ischemic stroke based on transcriptome and single-cell sequencing analysis.Cell & bioscience · 2026Article
- The role of protein lactylation in skin diseases: from molecular mechanisms to potential therapeutics.Frontiers in immunology · 2026Review
- Impact of lactylation on the pathogenesis of cancer and its clinical application potential (Review).Molecular medicine reports · 2025Review
- Lactylation-related gene signatures for prognosis and treatment response prediction in radiation-resistant non-small cell lung cancer.Discover oncology · 2025Article
- A Real-World Evaluation of Clinical Prognostic Scores in Advanced Melanoma Treated with Immune Checkpoint Inhibitors.Journal of clinical medicine · 2025Article
- Development and validation of a prognostic model for predicting survival and immunotherapy benefits in melanoma based on metabolism-relevant genes.Discover oncology · 2025Article
- Histone Lactylation-Driven Ubiquitin-Specific Protease 34 Promotes Cisplatin Resistance in Hepatocellular Carcinoma.Gastroenterology research · 2025Article
- Multi-omics analysis untangles the crosstalk between intratumor microbiome, lactic acid metabolism and immune status in lung squamous cell carcinoma.Frontiers in immunology · 2025Article
- Lactylation in tumor: mechanisms and therapeutic potentials.Frontiers in immunology · 2025Review
- Lactylation-driven molecular taxonomy of melanoma: linking epigenetic modifications to immune evasion and clinical outcomes.American journal of cancer research · 2025Article
- A rising star involved in tumour immunity: Lactylation.Journal of cellular and molecular medicine · 2024Review
- Integrated Analysis Reveals COL4A3 as a Novel Diagnostic and Therapeutic Target in UV-Related Skin Cutaneous Melanoma.Clinical, cosmetic and investigational dermatology · 2024Article
- Lactylation-related gene signature accurately predicts prognosis and immunotherapy response in gastric cancer.Frontiers in oncology · 2024Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe incidence of skin cutaneous melanoma (SKCM), one of the most aggressive and lethal skin tumors, is increasing worldwide. However, for advanced SKCM, we still lack an accurate and valid way to predict its prognosis, as well as novel theories to guide the planning of treatment options for SKCM patients. Lactylation (LAC), a novel post-translational modification of histones, has been shown to promote tumor growth and inhibit the antitumor response of the tumor microenvironment (TME) in a variety of ways. We hope that this study will provide new ideas for treatment options for SKCM patients, as well as research on the molecular mechanisms of SKCM pathogenesis and development.
methodsAt the level of the RNA sequencing set (TCGA, GTEx), we used differential expression analysis, LASSO regression analysis, and multifactor Cox regression analysis to screen for prognosis-related genes and calculate the corresponding LAC scores. The content of TME cells in the tumor tissue was calculated using the CIBERSORT algorithm, and the TME score was calculated based on its results. Finally, the LAC-TME classifier was established and further analyzed based on the two scores, including the construction of a prognostic model, analysis of clinicopathological characteristics, and correlation analysis of tumor mutation burden (TMB) and immunotherapy. Based on single-cell RNA sequencing data, this study analyzed the cellular composition in SKCM tissues and explored the role of LAC scores in intercellular communication. To validate the functionality of the pivotal gene CLPB in the model, cellular experiments were ultimately executed.
resultsWe screened a total of six prognosis-related genes (NDUFA10, NDUFA13, CLPB, RRM2B, HPDL, NARS2) and 7 TME cells with good prognosis. According to Kaplan-Meier survival analysis, we found that the LAC
conclusionsThe prognostic model using the combined LAC score and TME score was able to predict the prognosis of SKCM patients more consistently, and the LAC-TME classifier was able to significantly differentiate the prognosis of SKCM patients across multiple clinicopathological features. The LAC-TME classifier has an important role in the development of immunotherapy regimens for SKCM patients.
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