ArticleFrontiers in immunology2023
By integrating single-cell RNA-seq and bulk RNA-seq in sphingolipid metabolism, CACYBP was identified as a potential therapeutic target in lung adenocarcinoma.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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42 citing papers in PubMed, 121 citations in OpenAlex.
- Integrated multi-omics analysis reveals folate metabolism-related genes as prognostic markers and therapeutic targets in clear cell renal cell carcinoma.BMC cancer · 2026Article
- Bibliometric analysis of single-cell RNA sequencing in tumor microenvironment.Discover oncology · 2026Review
- Constructing a novel MPT-driven necrosis-associated gene set for predicting prognosis and immune status in skin cutaneous melanoma.Journal of cancer research and clinical oncology · 2025Article
- Silencing CACYBP suppresses lung adenocarcinoma growth via CDK1 inhibition.Biomolecules & biomedicine · 2025Article
- Integrated analysis of MIOX gene in prognosis of clear-cell renal cell carcinoma.Cell death & disease · 2025Article
- Comprehensive Analysis of Multi-Omics Data on RNA Polymerase as an Adverse Factor in Head and Neck Squamous Cell Carcinoma.Journal of inflammation research · 2025Article
- Identification and validation of HOXC6 as a diagnostic biomarker for Ewing sarcoma: insights from machine learning algorithms andFrontiers in immunology · 2025Article
- Integrated multi-omics analysis reveals the functional and prognostic significance of lactylation-related gene PRDX1 in breast cancer.Frontiers in molecular biosciences · 2025Article
- Investigation of sphingolipid-related genes in lung adenocarcinoma.Frontiers in molecular biosciences · 2025Article
- Single-cell transcriptomics identifies FOSL1-regulated IGFBP3+ melanoma subtype as a neuro-immunoregulatory signaling hub facilitating tumor progression.Frontiers in immunology · 2025Article
- Bulk and single-cell RNA sequencing analyses coupled with multiple machine learning to develop a glycosyltransferase associated signature in colorectal cancer.Translational oncology · 2024Article
- Integrated bulk and single-cell profiling characterize sphingolipid metabolism in pancreatic cancer.BMC cancer · 2024Article
- Specific association ofSaudi medical journal · 2024Article
- Integrated Analysis Construct a Tumor-Associated Macrophage Novel Signature with Promising Implications in Predicting the Prognosis and Immunotherapeutic Response of Gastric Cancer Patients.Digestive diseases and sciences · 2024Article
- Sphingolipids in prostate cancer prognosis: integrating single-cell and bulk sequencing.Aging · 2024Article
- Prognostic and immunotherapeutic potential of regulatory T cell-associated signature in ovarian cancer.Journal of cellular and molecular medicine · 2024Article
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- Pan-analysis reveals CACYBP to be a novel prognostic and predictive marker for multiple cancers.American journal of translational research · 2024Article
- Prognostic stratification of sepsis through DNA damage response based RiskScore system: insights from single-cell RNA-sequencing and transcriptomic profiling.Frontiers in immunology · 2024Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Lung adenocarcinoma (LUAD) is a heterogeneous disease with a dismal prognosis for advanced tumors. Immune-associated cells in the microenvironment substantially impact LUAD formation and progression, which has gained increased attention in recent decades. Sphingolipids have a profound impact on tumor formation and immune infiltration. However, few researchers have focused on the utilization of sphingolipid variables in the prediction of LUAD prognosis. The goal of this work was to identify the major sphingolipid-related genes (SRGs) in LUAD and develop a valid prognostic model based on SRGs. Methods: The most significant genes for sphingolipid metabolism (SM) were identified using the AUCell and WGCNA algorithms in conjunction with single-cell and bulk RNA-seq. LASSO and COX regression analysis was used to develop risk models, and patients were divided into high-and low-risk categories. External nine provided cohorts evaluated the correctness of the models. Differences in immune infiltration, mutation landscape, pathway enrichment, immune checkpoint expression, and immunotherapy were also further investigated in distinct subgroups. Finally, cell function assay was used to verify the role of CACYBP in LUAD cells. Results: A total of 334 genes were selected as being most linked with SM activity for further investigation, and a risk model consisting of 11 genes was established using lasso and cox regression. According to the median risk value, patients were split into high- and low-risk groups, and the high-risk group had a worse prognosis. The low-risk group had more immune cell infiltration and higher expression of immune checkpoints, which illustrated that the low-risk group was more likely to benefit from immunotherapy. It was verified that CACYBP could increase the ability of LUAD cells to proliferate, invade, and migrate. Conclusion: The eleven-gene signature identified in this research may help physicians create individualized care plans for LUAD patients. CACYBP may be a new therapeutic target for patients with advanced LUAD.
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