Characterization of cuproptosis identified immune microenvironment and prognosis in acute myeloid leukemia

Luo, Dongmei; Liu, Songyang; Luo, Jie; He, Zherou; Gao, Zicheng; Wen, Ziyu; Liu, Xiaoli; Xu, Na

doi:10.1007/s12094-023-03118-4

Cited by 10 publications

(7 citation statements)

References 41 publications

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“…An increasing number of genetic signatures have been established that provide useful clues for risk classification in AML. For example, researchers have constructed prognostic models based on genes related to senescence, cuproptosis, ferroptosis, or autophagy, which provide clinical value for monitoring the clinical outcome and evaluating new therapies of AML patients [ [44] , [45] , [46] , [47] ]. A large number of mutated genes in predicting AML prognosis have been identified.…”

Section: Discussionmentioning

confidence: 99%

Establishment and validation of a gene mutation-based risk model for predicting prognosis and therapy response in acute myeloid leukemia

Liu,

Li,

Zhang

et al. 2024

Heliyon

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Section: Discussionmentioning

confidence: 99%

Establishment and validation of a gene mutation-based risk model for predicting prognosis and therapy response in acute myeloid leukemia

Liu,

Li,

Zhang

et al. 2024

Heliyon

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“…Patients with lower cuproptosis scores exhibited more favorable immune responses and experienced dual clinical bene ts in AML within external validation cohorts [40]. The connection between autophagy and recurrent genetic changes in AML suggests that manipulating autophagy could be a promising therapeutic approach for various AML subtypes.…”

Section: Discussionmentioning

confidence: 99%

Machine learning-based integration develops multi regulated cell death-related signatures for improving outcomes and immune response in acute myeloid leukemia

Li,

Zhang,

2023

Preprint

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Acute myeloid leukemia (AML) presents an unpredictable and complex prognosis. Researchers have been exploring different ways to determine the death of cancer cells, including various forms of regulated cell death such as apoptosis, autophagy, cuproptosis, disulfidptosis, ferroptosis, necroptosis, panoptosis, and pyrotosis. However, there have been limited studies on combining these cell death modalities in AML. This study aimed to identify clinically relevant molecular classification of AML based on genes related to multiple programmed cell death signaling pathways. Machine learning techniques were used to identify these subtypes and provide guidance on medication for each subtype using transcriptome data. The subtypes differed in immune and drug response. A robust prognostic model MPCDPG was developed based on gene pairs and validated in multiple test sets. In conclusion, this study identified three clinically relevant subtypes of AML and developed a reliable prognostic model based on gene pairs regulated cell death-related genes.

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“…A significant number of researchers are investigating the critical connection between cuproptosis and various types of cancer [ 6 – 8 ]. Strong association has been identified with cellular metabolism and the heightened levels of aerobic respiration seen in certain cancers like melanoma, breast cancer, and leukemia [ 9 – 12 ]. This relationship extends to cancers harboring cancer stem cells and those resistant to drugs, where a high mitochondrial metabolic rate is observed [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Cuproptosis: unveiling a new frontier in cancer biology and therapeutics

Feng,

Yang,

Wang

et al. 2024

Cell Commun Signal

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Copper plays vital roles in numerous cellular processes and its imbalance can lead to oxidative stress and dysfunction. Recent research has unveiled a unique form of copper-induced cell death, termed cuproptosis, which differs from known cell death mechanisms. This process involves the interaction of copper with lipoylated tricarboxylic acid cycle enzymes, causing protein aggregation and cell death. Recently, a growing number of studies have explored the link between cuproptosis and cancer development. This review comprehensively examines the systemic and cellular metabolism of copper, including tumor-related signaling pathways influenced by copper. It delves into the discovery and mechanisms of cuproptosis and its connection to various cancers. Additionally, the review suggests potential cancer treatments using copper ionophores that induce cuproptosis, in combination with small molecule drugs, for precision therapy in specific cancer types.

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Characterization of cuproptosis identified immune microenvironment and prognosis in acute myeloid leukemia

Cited by 10 publications

References 41 publications

Establishment and validation of a gene mutation-based risk model for predicting prognosis and therapy response in acute myeloid leukemia

Establishment and validation of a gene mutation-based risk model for predicting prognosis and therapy response in acute myeloid leukemia

Machine learning-based integration develops multi regulated cell death-related signatures for improving outcomes and immune response in acute myeloid leukemia

Cuproptosis: unveiling a new frontier in cancer biology and therapeutics

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