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RETRACTED ARTICLE: Integration of clinical and spatial data to explore lipid metabolism-related genes for predicting prognosis and immune microenvironment in gliomas

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This article was retracted on 11 May 2024

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Abstract  

Lipid metabolism is crucial to tumor growth and immune microenvironment as well as drug sensitivity in glioma. Identifying prognostic indicators of glioma and elucidating the mechanisms of glioma progression are critical for improving the prognosis of glioma patients. In this study, we investigated the role and prognostic value of metabolism-related genes in glioma by integrative analysis of datasets from GEO, CGGA, and TCGA. Based on clinical data and transcriptome data, we found that the expression pattern of three major pathways related to lipid metabolism is fatty acidhigh-phospholipidhigh-triglyceridelow, which is associated with better prognosis and immune infiltration. The genes involved in these three pathways were used to generate a prognostic model, which showed high stability and efficiency in the test set and validation set. The spatial transcriptome of glioma patients revealed that the microenvironment of the regions with high expression of risk genes CAV1 and SCD is in a state of hypoxia, EMT, and cell cycle arrest, and thus can be used as markers of metabolic reprogramming in the tumor microenvironment. In the high-risk group, M0 macrophages and M1 macrophages were significantly enriched, and the risk score was significantly correlated with gene mutation and methylation of risk genes. We further performed drug sensitivity screening corresponding to different risk genes. This study provided novel insights into the differential immune microenvironment with different expression patterns of metablism-related genes and highlighted the spatial and temporal synergy of tumor progression and metabolic reprogramming.

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Data availability

The analysis results is included within the article and its supplemental tables. The datasets generated and/or analyzed during the current study are available in The Cancer Genome Atlas (TCGA, https://portal.gdc.cancer.gov/projects/TCGA-GBM) and Chinese Glioma Genome Atlas (CGGA, http://www.cgga.org.cn/download.jsp). These spatial transcriptome and spatial metabolome can be freely and openly accessed respectively at https://doi.org/10.5061/dryad.h70rxwdmj.

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Acknowledgements

The authors appreciate all participants enrolled in the present study.

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Authors and Affiliations

  1. Center for Neurological Disease Research, Taihe Hospital, Hubei University of Medicine, Shiyan, 442000, Hubei, China

    Zhangyi Yu & Zhiqiang Dong

  2. College of Biomedicine and Health, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China

    Zhangyi Yu & Zhiqiang Dong

  3. School of Environmental Ecology and Biological Engineering, Donghu New & High Technology Development Zone, Wuhan Institute of Technology, No.206, Guanggu 1St Road, Wuhan, 430205, Hubei, China

    Yuneng Zhou

  4. Mu** Coastal Environment Research Station, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, Shandong, China

    Yongxue Li

  5. University of Chinese Academy of Sciences, Bei**g, 100049, China

    Yongxue Li

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Contributions

ZQD and ZYY made all contributions to the design and conception for the study; ZYY and YNZ analyzed the data; ZYY, YNZ, and YXL wrote and revised the manuscript. All authors gave final approval and agreed to be accountable for all aspects of the work.

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Correspondence to Zhiqiang Dong.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s10142-024-01381-4

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Yu, Z., Zhou, Y., Li, Y. et al. RETRACTED ARTICLE: Integration of clinical and spatial data to explore lipid metabolism-related genes for predicting prognosis and immune microenvironment in gliomas. Funct Integr Genomics 23, 82 (2023). https://doi.org/10.1007/s10142-023-01010-6

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  • DOI: https://doi.org/10.1007/s10142-023-01010-6

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