A distinct lipid metabolism signature of acute myeloid leukemia with prognostic value

Ding, Li; Liang, Jiaming; Yang, Wei; Guo, Wei; Song, Wenping; Zhang, Wenzhou; Wu, Xuan

doi:10.3389/fonc.2022.876981

Cited by 14 publications

(18 citation statements)

References 31 publications

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“…Several studies in the literature, including the selected study, already support the hypothesis that there is accumulation of cholesterol 45 and dysregulation of lipid metabolism 46 in AD, and cholesterol metabolism reprogramming 47 and lipid metabolism reprogramming 48 is also happening in AML. The high overlap between the AD genes and genes from AML also further support the link between AD and inflammation.…”

Section: The Enriched Terms From the Overlapping Genes Of The Two Set...mentioning

confidence: 80%

RummaGEO: Automatic Mining of Human and Mouse Gene Sets from GEO

Marino,

Clarke,

Deng

et al. 2024

Preprint

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The Gene Expression Omnibus (GEO) is a major open biomedical research repository for transcriptomics and other omics datasets. It currently contains millions of gene expression samples from tens of thousands of studies collected by many biomedical research laboratories from around the world. While users of the GEO repository can search the metadata describing studies for locating relevant datasets, there are currently no methods or resources that facilitate global search of GEO at the data level. To address this shortcoming, we developed RummaGEO, a webserver application that enables gene expression signature search of a large collection of human and mouse RNA-seq studies deposited into GEO. To develop the search engine, we performed offline automatic identification of sample conditions from the uniformly aligned GEO studies available from ARCHS4. We then computed differential expression signatures to extract gene sets from these studies. In total, RummaGEO currently contains 135,264 human and 158,062 mouse gene sets extracted from 23,395 GEO studies. Next, we analyzed the contents of the RummaGEO database to identify statistical patterns and perform various global analyses. The contents of the RummaGEO database are provided as a web-server search engine with signature search, PubMed search, and metadata search functionalities. Overall, RummaGEO provides an unprecedented resource for the biomedical research community enabling hypothesis generation for many future studies. The RummaGEO search engine is available from: https://rummageo.com/.

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Section: The Enriched Terms From the Overlapping Genes Of The Two Set...mentioning

confidence: 80%

RummaGEO: Automatic Mining of Human and Mouse Gene Sets from GEO

Marino,

Clarke,

Deng

et al. 2024

Preprint

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“…These bioactive lipid molecules involved in cellular signaling are commonly referred to as “signaling lipids” ( 24 ). The unique role of these signaling lipids is stated in tumorigenesis as well as in invasion and metastasis ( 8 , 24 , 150 ). Lipid-derived signaling molecules correlate with the outcome of the malignancies ( 8 ).…”

Section: Lipid As a Signaling Moietymentioning

confidence: 99%

“…The unique role of these signaling lipids is stated in tumorigenesis as well as in invasion and metastasis ( 8 , 24 , 150 ). Lipid-derived signaling molecules correlate with the outcome of the malignancies ( 8 ). Among many, broadly eicosanoids, phosphoinositides, and sphingolipids are major small signaling lipids that have a substantial role to play in cancer cell physiology ( 24 ).…”

Section: Lipid As a Signaling Moietymentioning

confidence: 99%

“…Metabolic links with tumor-induced immunosuppression are well established in T-cell malignancies ( 8 ). Stratified analysis correlates lipid metabolism-associated genes with the prognosis of leukemia ( 8 ).…”

Section: Immunosuppression and Immune Escapementioning

confidence: 99%

“…Lipid metabolic reprogramming plays an instrumental role in the transformation and maintenance of T-cell malignancies ( 8 , 9 ). The various fragments of lipid metabolism are modulated in cancer cells derived from T lymphocytes ( 10 , 11 ).…”

Section: Introductionmentioning

confidence: 99%

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Orchestral role of lipid metabolic reprogramming in T-cell malignancy

Mehta

Ratre

Soni³

et al. 2023

Front. Oncol.

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The immune function of normal T cells partially depends on the maneuvering of lipid metabolism through various stages and subsets. Interestingly, T-cell malignancies also reprogram their lipid metabolism to fulfill bioenergetic demand for rapid division. The rewiring of lipid metabolism in T-cell malignancies not only provides survival benefits but also contributes to their stemness, invasion, metastasis, and angiogenesis. Owing to distinctive lipid metabolic programming in T-cell cancer, quantitative, qualitative, and spatial enrichment of specific lipid molecules occur. The formation of lipid rafts rich in cholesterol confers physical strength and sustains survival signals. The accumulation of lipids through de novo synthesis and uptake of free lipids contribute to the bioenergetic reserve required for robust demand during migration and metastasis. Lipid storage in cells leads to the formation of specialized structures known as lipid droplets. The inimitable changes in fatty acid synthesis (FAS) and fatty acid oxidation (FAO) are in dynamic balance in T-cell malignancies. FAO fuels the molecular pumps causing chemoresistance, while FAS offers structural and signaling lipids for rapid division. Lipid metabolism in T-cell cancer provides molecules having immunosuppressive abilities. Moreover, the distinctive composition of membrane lipids has implications for immune evasion by malignant cells of T-cell origin. Lipid droplets and lipid rafts are contributors to maintaining hallmarks of cancer in malignancies of T cells. In preclinical settings, molecular targeting of lipid metabolism in T-cell cancer potentiates the antitumor immunity and chemotherapeutic response. Thus, the direct and adjunct benefit of lipid metabolic targeting is expected to improve the clinical management of T-cell malignancies.

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