The Metabolism Reprogramming of microRNA Let-7-Mediated Glycolysis Contributes to Autophagy and Tumor Progression

Li, Chien‐Hsiu; Liao, Chiao Chun

doi:10.3390/ijms23010113

Cited by 14 publications

(9 citation statements)

References 154 publications

(137 reference statements)

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“…( Figure 3A ). Cancer is usually accompanied by nutritional metabolic imbalances, such as abnormal glucose and lipid metabolism ( Li and Liao, 2021 ). cAMP was the first second messenger to be discovered, and it plays key roles in physiological defects caused by metabolic disorders ( Zhang et al, 2020 ; Chi et al, 2021 ).…”

Section: Resultsmentioning

confidence: 99%

An integrative analysis of DNA methylation and gene expression to predict lung adenocarcinoma prognosis

Huang

Zeng

et al. 2022

Front. Genet.

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Background: Abnormal DNA methylation of gene promoters is an important feature in lung adenocarcinoma (LUAD). However, the prognostic value of DNA methylation remains to be further explored. Objectives. We sought to explore DNA methylation characteristics and develop a quantifiable criterion related to DNA methylation to improve survival prediction for LUAD patients.Methods: Illumina Human Methylation450K array data, level 3 RNA-seq data and corresponding clinical information were obtained from TCGA. Cox regression analysis and the Akaike information criterion were used to construct the best-prognosis methylation signature. Receiver operating characteristic curve analysis was used to validate the prognostic ability of the DNA methylation-related feature score. qPCR was used to measure the transcription levels of the identified genes upon methylation.Results: We identified a set of DNA methylation features composed of 11 genes (MYEOV, KCNU1, SLC27A6, NEUROD4, HMGB4, TACR3, GABRA5, TRPM8, NLRP13, EDN3 and SLC34A1). The feature score, calculated based on DNA methylation features, was independent of tumor recurrence and TNM stage in predicting overall survival. Of note, the combination of this feature score and TNM stage provided a better overall survival prediction than either of them individually. The transcription levels of all the hypermethylated genes were significantly increased after demethylation, and the expression levels of 3 hypomethylated proteins were significantly higher in tumor tissues than in normal tissues, as indicated by immunohistochemistry data from the Human Protein Atlas. Our results suggested that these identified genes with prognostic features were regulated by DNA methylation of their promoters.Conclusion: Our studies demonstrated the potential application of DNA methylation markers in the prognosis of LUAD.

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Section: Resultsmentioning

confidence: 99%

An integrative analysis of DNA methylation and gene expression to predict lung adenocarcinoma prognosis

Huang

Zeng

et al. 2022

Front. Genet.

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“…LDH is a glycolytic enzyme. Under physiological conditions, LDH promotes the reduction of pyruvate to lactic acid, the regeneration of NAD + , and the maintenance of a high glycolytic rate. , The direct consequence of the glycolytic pathway is the production of lactic acid in cells, which leads to the high expression transporter SLC16A1/3 on the cell membrane to regulate the acidity inside and outside cancer cells to maintain the glycolysis flux of cancer cells. At the same time, when its transported lactic acid is released into the systemic circulation and absorbed by distant tissues and organs, it will affect the redox state of cells, tissues, and organs. , Thus, targeting SLC16A1/3 adjusts both glycolysis and oxidative stress.…”

Section: Discussionmentioning

confidence: 99%

Construction of SLC16A1/3 Targeted Gallic Acid-Iron-Embelin Nanoparticles for Regulating Glycolysis and Redox Pathways in Cervical Cancer

et al. 2023

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SLC16A1 and SLC16A3 (SLC16A1/3) are highly expressed in cervical cancers and associated with the malignant biological behavior of cancer. SLC16A1/3 is the critical hub for regulating the internal and external environment, glycolysis, and redox homeostasis in cervical cancer cells. Inhibiting SLC16A1/3 provides a new thought to eliminate cervical cancer effectively. There are few reports on effective treatment strategies to eliminate cervical cancer by simultaneously targeting SLC16A1/3. GEO database analysis and quantitative reverse transcription polymerase chain reaction experiment were used to confirm the high expression of SLC16A1/3. The potential inhibitor of SLC16A1/3 was screened from Siwu Decoction by using network pharmacology and molecular docking technology. The mRNA levels and protein levels of SLC16A1/3 in SiHa and HeLa cells treated by Embelin (EMB) were clarified, respectively. Furthermore, the Gallic acid-iron (GA-Fe) drug delivery system was used to improve its anti-cancer performance. Compared with normal cervical cells, SLC16A1/3 mRNA was over-expressed in SiHa and HeLa cells. Through the analysis of Siwu Decoction, a simultaneously targeted SLC16A1/3 inhibitor EMB was discovered. It was found for the first time that EMB promoted lactic acid accumulation and further induced redox dyshomeostasis and glycolysis disorder by simultaneously inhibiting SLC16A1/3. The gallic acid-iron-Embelin (GA-Fe@EMB) drug delivery system delivered EMB, which had a synergistic anti-cervical cancer effect. Under the irradiation of a near-infrared laser, the GA-Fe@EMB could elevate the temperature of the tumor area effectively. Subsequently, EMB was released and mediated the lactic acid accumulation and the GA-Fe nanoparticle synergistic Fenton reaction to promote ROS accumulation, thereby increasing the lethality of the nanoparticles on cervical cancer cells. GA-Fe@EMB can target cervical cancer marker SLC16A1/3 to regulate glycolysis and redox pathways, synergistically with photothermal therapy, which provides a new avenue for the synergistic treatment of malignant cervical cancer.

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“…The role of let-7 in metabolic reprogramming in correlation with various cancers was well described in the study of Li et al. [ 25 ].…”

Section: Mirnas Regulate Cancer Metabolic Reprogrammingmentioning

confidence: 99%

The role of noncoding RNAs in metabolic reprogramming of cancer cells

Safi,

Saberiyan,

Sanaei

et al. 2023

Cell Mol Biol Lett

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Metabolic reprogramming is a well-known feature of cancer that allows malignant cells to alter metabolic reactions and nutrient uptake, thereby promoting tumor growth and spread. It has been discovered that noncoding RNAs (ncRNAs), including microRNA (miRNA), long noncoding RNA (lncRNA), and circular RNA (circRNA), have a role in a variety of biological functions, control physiologic and developmental processes, and even influence disease. They have been recognized in numerous cancer types as tumor suppressors and oncogenic agents. The role of ncRNAs in the metabolic reprogramming of cancer cells has recently been noticed. We examine this subject, with an emphasis on the metabolism of glucose, lipids, and amino acids, and highlight the therapeutic use of targeting ncRNAs in cancer treatment.

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The Metabolism Reprogramming of microRNA Let-7-Mediated Glycolysis Contributes to Autophagy and Tumor Progression

Cited by 14 publications

References 154 publications

An integrative analysis of DNA methylation and gene expression to predict lung adenocarcinoma prognosis

An integrative analysis of DNA methylation and gene expression to predict lung adenocarcinoma prognosis

Construction of SLC16A1/3 Targeted Gallic Acid-Iron-Embelin Nanoparticles for Regulating Glycolysis and Redox Pathways in Cervical Cancer

The role of noncoding RNAs in metabolic reprogramming of cancer cells

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