Lipid Metabolism in Tumor-Associated B Cells

Yang, Fan; Wan, Fang

doi:10.1007/978-981-33-6785-2_9

Cited by 7 publications

(5 citation statements)

References 89 publications

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“…However, unlike T cells, B cells mainly utilize glucose through PPP to produce NADPH and ribose 5-phosphate, which are required for the synthesis of antibodies. In addition, activation of TLR and BCR signaling induces differentiation of Breg cells and promotes their glycolytic metabolism 147 .…”

Section: Lipid Metabolic Reprogramming In Tumor-associated Immune Cellsmentioning

confidence: 99%

The role of lipid metabolic reprogramming in tumor microenvironment

Yang¹,

Wang²,

Song³

et al. 2023

Theranostics

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Metabolic reprogramming is one of the most important hallmarks of malignant tumors. Specifically, lipid metabolic reprogramming has marked impacts on cancer progression and therapeutic response by remodeling the tumor microenvironment (TME). In the past few decades, immunotherapy has revolutionized the treatment landscape for advanced cancers. Lipid metabolic reprogramming plays pivotal role in regulating the immune microenvironment and response to cancer immunotherapy. Here, we systematically reviewed the characteristics, mechanism, and role of lipid metabolic reprogramming in tumor and immune cells in the TME, appraised the effects of various cell death modes (specifically ferroptosis) on lipid metabolism, and summarized the antitumor therapies targeting lipid metabolism. Overall, lipid metabolic reprogramming has profound effects on cancer immunotherapy by regulating the immune microenvironment; therefore, targeting lipid metabolic reprogramming may lead to the development of innovative clinical applications including sensitizing immunotherapy.

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Section: Lipid Metabolic Reprogramming In Tumor-associated Immune Cellsmentioning

confidence: 99%

The role of lipid metabolic reprogramming in tumor microenvironment

Yang¹,

Wang²,

Song³

et al. 2023

Theranostics

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“…Lipid metabolism can also influence exosome transportation of checkpoints and the degradation of checkpoints ( 35 ). In addition, immune cells in TME like B cells ( 36 ), macrophages ( 37 ), infiltrating T cells ( 38 ), and NK cells ( 39 ) are all undergo the above-mentioned regulation caused by lipid metabolism, which is beneficial for tumor cells escaping immunological surveillance. Cancer-associated fibroblasts also involve in lipid secretion for cancer cell catabolism and lipid signaling ( 40 ).…”

Section: Discussionmentioning

confidence: 99%

Lipid metabolism-related gene signature predicts prognosis and depicts tumor microenvironment immune landscape in gliomas

Zhang

Chen

et al. 2023

Front. Immunol.

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BackgroundGlioma is the most common primary brain tumor in adults and accounts for more than 70% of brain malignancies. Lipids are crucial components of biological membranes and other structures in cells. Accumulating evidence has supported the role of lipid metabolism in reshaping the tumor immune microenvironment (TME). However, the relationship between the immune TME of glioma and lipid metabolism remain poorly described.Materials and methodsThe RNA-seq data and clinicopathological information of primary glioma patients were downloaded from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA). An independent RNA-seq dataset from the West China Hospital (WCH) also included in the study. Univariate Cox regression and LASSO Cox regression model was first to determine the prognostic gene signature from lipid metabolism-related genes (LMRGs). Then a risk score named LMRGs-related risk score (LRS) was established and patients were stratified into high and low risk groups according to LRS. The prognostic value of the LRS was further demonstrated by construction of a glioma risk nomogram. ESTIMATE and CIBERSORTx were used to depicted the TME immune landscape. Tumor Immune Dysfunction and Exclusion (TIDE) was utilized to predict the therapeutic response of immune checkpoint blockades (ICB) among glioma patients.ResultsA total of 144 LMRGs were differentially expressed between gliomas and brain tissue. Finally, 11 prognostic LMRGs were included in the construction of LRS. The LRS was demonstrated to be an independent prognostic predictor for glioma patients, and a nomogram consisting of the LRS, IDH mutational status, WHO grade, and radiotherapy showed a C-index of 0.852. LRS values were significantly associated with stromal score, immune score, and ESTIMATE score. CIBERSORTx indicated remarkable differences in the abundance of TME immune cells between patients with high and low LRS risk levels. Based on the results of TIDE algorithm, we speculated that the high-risk group had a greater chance of benefiting from immunotherapy.ConclusionThe risk model based upon LMRGs could effectively predict prognosis in patients with glioma. Risk score also divided glioma patients into different groups with distinct TME immune characteristics. Immunotherapy is potentially beneficial to glioma patients with certain lipid metabolism profiles.

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“…Tumor-infiltrated immune cells are dual, some of which has the effect of inhibiting tumor proliferation and metastasis, such as effector CD8+T (Teff) cells, memory CD8+T (Tmem) cells, natural killer cells (NK cells), B cells, M1 macrophages, dendritic cells (DCs), N1 neutrophils and so on, while others may be of benefit to the development of tumors, including Treg cells, M2 macrophages, myeloid-derived suppressor cells (MDSCs), and N2 neutrophils ( 62 ). Among them, cytotoxic T cells, T effector cells, dendritic cells, and B cells mainly remove cancer cells by recognizing specific antigens, while natural killer cells and macrophages block tumor development through non-specific immune responses ( 63 ). Although these cells can prevent tumor development to a certain extent, tumors gradually adapt and promote the role of cells suppressing the immune response, such as tumor-associated macrophages and regulatory T cells, and this feature of tumors forms an immunosuppressive microenvironment, which facilitates ultimately tumor proliferation and metastasis ( 64 ).…”

Section: Effect Of Metabolism On Immune Cellsmentioning

confidence: 99%

Analyzing the impact of metabolism on immune cells in tumor microenvironment to promote the development of immunotherapy

Long,

Shi,

et al. 2024

Front. Immunol.

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Tumor metabolism and tumor immunity are inextricably linked. Targeting the metabolism of tumors is a point worth studying in tumor immunotherapy. Recently, the influence of the metabolism of tumors and immune cells on the occurrence, proliferation, metastasis, and prognosis of tumors has attracted more attention. Tumor tissue forms a specific tumor microenvironment (TME). In addition to tumor cells, there are also immune cells, stromal cells, and other cells in TME. To adapt to the environment, tumor cells go through the metabolism reprogramming of various substances. The metabolism reprogramming of tumor cells may further affect the formation of the tumor microenvironment and the function of a variety of cells, especially immune cells, eventually promoting tumor development. Therefore, it is necessary to study the metabolism of tumor cells and its effects on immune cells to guide tumor immunotherapy. Inhibiting tumor metabolism may restore immune balance and promote the immune response in tumors. This article will describe glucose metabolism, lipid metabolism, amino acid metabolism, and immune cells in tumors. Besides, the impact of metabolism on the immune cells in TME is also discussed for analyzing and exploring tumor immunotherapy.

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Lipid Metabolism in Tumor-Associated B Cells

Cited by 7 publications

References 89 publications

The role of lipid metabolic reprogramming in tumor microenvironment

The role of lipid metabolic reprogramming in tumor microenvironment

Lipid metabolism-related gene signature predicts prognosis and depicts tumor microenvironment immune landscape in gliomas

Analyzing the impact of metabolism on immune cells in tumor microenvironment to promote the development of immunotherapy

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