{"title":"Construction of a lipid metabolism-based prognostic gene signature in cervical squamous cell carcinoma and validation of LIPG's oncogenic role.","authors":"Gaigai Bai, Fanghua Chen, Junjun Qiu, Keqin Hua","doi":"10.1186/s12935-025-03991-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Cervical cancer, in which cervical squamous cell carcinoma (CSCC) accounts for 60-70% of cases, has a poor prognosis and poses a significant health threat to global patients. Lipid metabolism reprogramming is a key driver of tumor progression and tumor microenvironment (TME) regulation, making it a promising target for improving the efficacy of immunotherapy. This study aimed to construct a lipid metabolism prognostic signature (LMPS) in CSCC and identify key genes involved in tumor progression.</p><p><strong>Methods: </strong>Through RNA-sequencing and clinical data from TCGA and GTEx databases, we identified differentially expressed lipid metabolism-related genes (DLMGs) and constructed the LMPS using machine learning algorithms. Next, the value of the LMPS was validated using the HTMCP database and the GEO database. Furthermore, the relationship between the LMPS and the TME was analyzed, including immune cell infiltration, immune checkpoint gene expression, and drug sensitivity. The key gene lipase G (LIPG) was identified through machine learning methods and validated through cellular and molecular biology experiments.</p><p><strong>Results: </strong>A total of 60 DLMGs were identified, with 9 DLMGs showing prognostic value. The LMPS was constructed using 6 genes (ACOT4, PLA2G2D, GAL3ST1, ALOX12B, PLA2G3, and LIPG), which effectively predicted patients' survival (AUC: 0.76, 0.75, 0.68 at 1, 3, 5 years, respectively). High LMPS was correlated with an immune-suppressive TME, reduced immune cell infiltration, lower human leukocyte antigen (HLA) and immune checkpoint gene expression, and higher IC50 values for common chemotherapy drugs. LIPG was identified as a key gene, showing higher expression in advanced cancer stages. As revealed by functional experiments, LIPG promoted lipid accumulation and phosphatidylcholine (PC) hydrolysis in CSCC cells. Additionally, LIPG facilitated tumor progression through activation of the MAPK-p38 signaling pathway.</p><p><strong>Conclusions: </strong>The LMPS was a valuable prognostic tool and was correlated with the TME and drug sensitivity. LIPG was a key regulator of lipid metabolism and facilitated CSCC development by hydrolyzing PC into lysophosphatidylcholine (LPC) and activating the MAPK-p38 signaling pathway. These findings may highlight the potential of targeting lipid metabolism for therapeutic intervention in CSCC.</p>","PeriodicalId":9385,"journal":{"name":"Cancer Cell International","volume":"25 1","pages":"349"},"PeriodicalIF":6.0000,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12522510/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Cell International","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12935-025-03991-9","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Cervical cancer, in which cervical squamous cell carcinoma (CSCC) accounts for 60-70% of cases, has a poor prognosis and poses a significant health threat to global patients. Lipid metabolism reprogramming is a key driver of tumor progression and tumor microenvironment (TME) regulation, making it a promising target for improving the efficacy of immunotherapy. This study aimed to construct a lipid metabolism prognostic signature (LMPS) in CSCC and identify key genes involved in tumor progression.
Methods: Through RNA-sequencing and clinical data from TCGA and GTEx databases, we identified differentially expressed lipid metabolism-related genes (DLMGs) and constructed the LMPS using machine learning algorithms. Next, the value of the LMPS was validated using the HTMCP database and the GEO database. Furthermore, the relationship between the LMPS and the TME was analyzed, including immune cell infiltration, immune checkpoint gene expression, and drug sensitivity. The key gene lipase G (LIPG) was identified through machine learning methods and validated through cellular and molecular biology experiments.
Results: A total of 60 DLMGs were identified, with 9 DLMGs showing prognostic value. The LMPS was constructed using 6 genes (ACOT4, PLA2G2D, GAL3ST1, ALOX12B, PLA2G3, and LIPG), which effectively predicted patients' survival (AUC: 0.76, 0.75, 0.68 at 1, 3, 5 years, respectively). High LMPS was correlated with an immune-suppressive TME, reduced immune cell infiltration, lower human leukocyte antigen (HLA) and immune checkpoint gene expression, and higher IC50 values for common chemotherapy drugs. LIPG was identified as a key gene, showing higher expression in advanced cancer stages. As revealed by functional experiments, LIPG promoted lipid accumulation and phosphatidylcholine (PC) hydrolysis in CSCC cells. Additionally, LIPG facilitated tumor progression through activation of the MAPK-p38 signaling pathway.
Conclusions: The LMPS was a valuable prognostic tool and was correlated with the TME and drug sensitivity. LIPG was a key regulator of lipid metabolism and facilitated CSCC development by hydrolyzing PC into lysophosphatidylcholine (LPC) and activating the MAPK-p38 signaling pathway. These findings may highlight the potential of targeting lipid metabolism for therapeutic intervention in CSCC.
期刊介绍:
Cancer Cell International publishes articles on all aspects of cancer cell biology, originating largely from, but not limited to, work using cell culture techniques.
The journal focuses on novel cancer studies reporting data from biological experiments performed on cells grown in vitro, in two- or three-dimensional systems, and/or in vivo (animal experiments). These types of experiments have provided crucial data in many fields, from cell proliferation and transformation, to epithelial-mesenchymal interaction, to apoptosis, and host immune response to tumors.
Cancer Cell International also considers articles that focus on novel technologies or novel pathways in molecular analysis and on epidemiological studies that may affect patient care, as well as articles reporting translational cancer research studies where in vitro discoveries are bridged to the clinic. As such, the journal is interested in laboratory and animal studies reporting on novel biomarkers of tumor progression and response to therapy and on their applicability to human cancers.