Enolase‐phosphatase 1 acts as an oncogenic driver in glioma

Wang, Bo; Xu, Xin; Xi, Lifeng; Wang, Dong; Zhuang, Hao; He, Xin; Han, Tong; Hong, Jian

doi:10.1002/jcp.29926

Cited by 9 publications

(2 citation statements)

References 29 publications

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“…Methionine metabolism is critical for white matter synthesis and is defective in human AD (Linnebank et al, 2010;Hooshmand et al, 2019;Mihara et al, 2022) and in the CVN-AD mouse (Colton, CA, unpublished observations). Enolase-phosphatase 1 (Enoph1), which is highly expressed in stress responses of the brain (Wang et al, 2005;Fagerberg et al, 2014), is also involved in methionine salvage (Pirkov et al, 2008;Barth et al, 2014;Wang et al, 2021). Down regulation of this enzyme in this mouse model further implicates methionine disruption as a likely contributor to AD-like brain pathology.…”

Section: Lasso Regressionmentioning

confidence: 90%

Alzheimer’s disease protein relevance analysis using human and mouse model proteomics data

et al. 2023

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The principles governing genotype-phenotype relationships are still emerging (Jovanovic, Science, 2015, 347 (6,226), 1,259,038; Buccitelli et al., Nature Reviews Genetics, 2020, 21 (10), 630–44; Öztürk et al., Nature Communications, 2022, 131), 6,153), and detailed translational as well as transcriptomic information is required to understand complex phenotypes, such as the pathogenesis of Alzheimer’s disease. For this reason, the proteomics of Alzheimer disease (AD) continues to be studied extensively. Although comparisons between data obtained from humans and mouse models have been reported, approaches that specifically address the between-species statistical comparisons are understudied. Our study investigated the performance of two statistical methods for identification of proteins and biological pathways associated with Alzheimer’s disease for cross-species comparisons, taking specific data analysis challenges into account, including collinearity, dimensionality reduction and cross-species protein matching. We used a human dataset from a well-characterized cohort followed for over 22 years with proteomic data available. For the mouse model, we generated proteomic data from whole brains of CVN-AD and matching control mouse models. We used these analyses to determine the reliability of a mouse model to forecast significant proteomic-based pathological changes in the brain that may mimic pathology in human Alzheimer’s disease. Compared with LASSO regression, partial least squares discriminant analysis provided better statistical performance for the proteomics analysis. The major biological finding of the study was that extracellular matrix proteins and integrin-related pathways were dysregulated in both the human and mouse data. This approach may help inform the development of mouse models that are more relevant to the study of human late-onset Alzheimer’s disease.

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Section: Lasso Regressionmentioning

confidence: 90%

Alzheimer’s disease protein relevance analysis using human and mouse model proteomics data

et al. 2023

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“…A vivo research demonstrated that asparagine depletion could obviously inhibit the tumor growth of KRAS-mutant CRC cells (Hanada et al, 2021). Enolase-phosphatase 1 (ENOPH1), whose protein is an enzyme that participates in L-methionine Frontiers in Molecular Biosciences frontiersin.org biosynthesis, has been discovered to enhance the progression and invasion of glioma and hepatocellular carcinoma but has not been reported in colorectal cancer (Zhuang et al, 2019;Wang et al, 2021). The function of ACAT1, ALDH4A1, and FAS in colorectal cancer has been verified by previous studies, participating in the progression of CRC.…”

Section: Discussionmentioning

confidence: 99%

Amino acid metabolism genes associated with immunotherapy responses and clinical prognosis of colorectal cancer

Peng

Zheng

Guo

et al. 2022

Front. Mol. Biosci.

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Based on amino acid metabolism-related genes (AAMRGs), this study aimed at screening out key prognosis-related genes and finding the underlying correlation between the amino acid metabolism and tumor immune microenvironment of colorectal cancer. A total of 448 amino acid metabolism-related genes were obtained from MsigDB. The risk signature was built based on differential expression genes, univariate Cox, and LASSO analyses with 403 patients’ data downloaded from the TCGA database. Survival analysis and independence tests were performed to confirm the validity of the risk signature. Single-sample gene set enrichment analysis (ssGSEA), tumor mutation burden (TMB), the score of tumor immune dysfunction and exclusion (TIDE), the immunophenoscore obtained from The Cancer Immunome Atlas database, and the IC50 of drugs were used to find the relationship among the risk signature, immune status, immunotherapy response, and drug sensitivity of colorectal cancer. We identified five amino acid metabolism-related genes for the construction of the risk signature, including ENOPH1, ACAT1, ALDH4A1, FAS, and ASPG. The low-risk group was significantly associated with a better prognosis (p < 0.0001). In the entire set, the area under the curve (AUC) for 1, 3, and 5 years was 0.717, 0.734, and 0.764, respectively. We also discovered that the low-risk subgroup was related to more activity of immune cells, had higher expression of some immune checkpoints, and was more likely to benefit from immunotherapy. ssGSEA revealed that except the processes of glutamine histidine, lysine, tyrosine, and L-phenylalanine metabolism, the other amino acid metabolism pathways were more active in the samples with the low risk scores, whereas the activities of synthesis and transportation of most amino acids were similar. Hedgehog signaling, WNT/β-catenin signaling, mitotic, notch signaling, and TGF-β signaling were the top five pathways positively associated with the risk score. To sum up, AAMRGs were associated with the immune microenvironment of CRC patients and could be applied as biomarkers to predict the prognosis and immunotherapy response of patients.

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Effect of different iodine levels on the DNA methylation of PRKAA2, ITGA6, THEM4 and PRL genes in PI3K-AKT signaling pathway and population-based validation from autoimmune thyroiditis patients

Ren

Wan

et al. 2022

Eur J Nutr

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Enolase‐phosphatase 1 acts as an oncogenic driver in glioma

Cited by 9 publications

References 29 publications

Alzheimer’s disease protein relevance analysis using human and mouse model proteomics data

Alzheimer’s disease protein relevance analysis using human and mouse model proteomics data

Amino acid metabolism genes associated with immunotherapy responses and clinical prognosis of colorectal cancer

Effect of different iodine levels on the DNA methylation of PRKAA2, ITGA6, THEM4 and PRL genes in PI3K-AKT signaling pathway and population-based validation from autoimmune thyroiditis patients

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