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Kubelt C, Gilles L, Hellmold D, Blumenbecker T, Peschke E, Will O, Ahmeti H, Hövener JB, Jansen O, Lucius R, Synowitz M, Held-Feindt J. Temporal and regional expression changes and co-staining patterns of metabolic and stemness-related markers during glioblastoma progression. Eur J Neurosci 2024. [PMID: 38708527 DOI: 10.1111/ejn.16357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 03/19/2024] [Accepted: 04/01/2024] [Indexed: 05/07/2024]
Abstract
Glioblastomas (GBMs) are characterized by high heterogeneity, involving diverse cell types, including those with stem-like features contributing to GBM's malignancy. Moreover, metabolic alterations promote growth and therapeutic resistance of GBM. Depending on the metabolic state, antimetabolic treatments could be an effective strategy. Against this background, we investigated temporal and regional expression changes and co-staining patterns of selected metabolic markers [pyruvate kinase muscle isozyme 1/2 (PKM1/2), glucose transporter 1 (GLUT1), monocarboxylate transporter 1/4 (MCT1/4)] in a rodent model and patient-derived samples of GBM. To understand the cellular sources of marker expression, we also examined the connection of metabolic markers to markers related to stemness [Nestin, Krüppel-like factor 4 (KLF4)] in a regional and temporal context. Rat tumour biopsies revealed a temporally increasing expression of GLUT1, higher expression of MCT1/4, Nestin and KLF4, and lower expression of PKM1 compared to the contralateral hemisphere. Patient-derived tumours showed a higher expression of PKM2 and Nestin in the tumour centre vs. edge. Whereas rare co-staining of GLUT1/Nestin was found in tumour biopsies, PKM1/2 and MCT1/4 showed a more distinct co-staining with Nestin in rats and humans. KLF4 was mainly co-stained with GLUT1, MCT1 and PKM1/2 in rat and human tumours. All metabolic markers yielded individual co-staining patterns among themselves. Co-staining mainly occurred later in tumour progression and was more pronounced in tumour centres. Also, positive correlations were found amongst markers that showed co-staining. Our results highlight a link between metabolic alterations and stemness in GBM progression, with complex distinctions depending on studied markers, time points and regions.
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Affiliation(s)
- Carolin Kubelt
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Lea Gilles
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Dana Hellmold
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Tjorven Blumenbecker
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Eva Peschke
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | - Olga Will
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | - Hajrullah Ahmeti
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Jan-Bernd Hövener
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany
| | - Olav Jansen
- Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Ralph Lucius
- Institute of Anatomy, Kiel University, Kiel, Germany
| | - Michael Synowitz
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Janka Held-Feindt
- Department of Neurosurgery, University Medical Center Schleswig-Holstein, Kiel, Germany
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Zhang W, Zhou D, Song S, Hong X, Xu Y, Wu Y, Li S, Zeng S, Huang Y, Chen X, Liang Y, Guo S, Pan H, Li H. Prediction and verification of the prognostic biomarker SLC2A2 and its association with immune infiltration in gastric cancer. Oncol Lett 2024; 27:70. [PMID: 38192676 PMCID: PMC10773219 DOI: 10.3892/ol.2023.14203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 11/15/2023] [Indexed: 01/10/2024] Open
Abstract
Gastric cancer (GC) is the fifth most common cause of cancer-associated deaths; however, its treatment options are limited. Despite clinical improvements, chemotherapy resistance and metastasis are major challenges in improving the prognosis and quality of life of patients with GC. Therefore, effective prognostic biomarkers and targets associated with immunological interventions need to be identified. Solute carrier family 2 member 2 (SLC2A2) may serve a role in tumor development and invasion. The present study aimed to evaluate SLC2A2 as a prospective prognostic marker and chemotherapeutic target for GC. SLC2A2 expression in several types of cancer and GC was analyzed using online databases, and the effects of SLC2A2 expression on survival prognosis in GC were investigated. Clinicopathological parameters were examined to explore the association between SLC2A2 expression and overall survival (OS). Associations between SLC2A2 expression and immune infiltration, immune checkpoints and IC50 were estimated using quantification of the tumor immune contexture from human RNA-seq data, the Tumor Immune Estimation Resource 2.0 database and the Genomics of Drug Sensitivity in Cancer database. Differential SLC2A2 expression and the predictive value were validated using the Human Protein Atlas, Gene Expression Omnibus, immunohistochemistry and reverse transcription-quantitative PCR. SLC2A2 expression was downregulated in most types of tumor but upregulated in GC. Functional enrichment analysis revealed an association between SLC2A2 expression and lipid metabolism and the tumor immune microenvironment. According to Gene Ontology term functional enrichment analysis, SLC2A2-related differentially expressed genes were enriched predominantly in 'chylomicron assembly', 'plasma lipoprotein particle assembly', 'high-density lipoprotein particle', 'chylomicron', 'triglyceride-rich plasma lipoprotein particle', 'very-low-density lipoprotein particle'. 'intermembrane lipid transfer activity', 'lipoprotein particle receptor binding', 'cholesterol transporter activity' and 'intermembrane cholesterol transfer activity'. In addition, 'cholesterol metabolism', and 'fat digestion and absorption' were significantly enriched in the Kyoto Encyclopedia of Genes and Genomes pathway analysis. Patients with GC with high SLC2A2 expression had higher levels of neutrophil and M2 macrophage infiltration and a significant inverse correlation was observed between SLC2A2 expression and MYC targets, tumor mutation burden, microsatellite instability and immune checkpoints. Furthermore, patients with high SLC2A2 expression had worse prognosis, including OS, disease-specific survival and progression-free interval. Multivariate regression analysis demonstrated that SLC2A2 could independently prognosticate GC and the nomogram model showed favorable performance for survival prediction. SLC2A2 may be a prospective prognostic marker for GC. The prediction model may improve the prognosis of patients with GC in clinical practice, and SLC2A2 may serve as a novel therapeutic target to provide immunotherapy plans for GC.
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Affiliation(s)
- Weijian Zhang
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518033, P.R. China
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, P.R. China
| | - Dishu Zhou
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, P.R. China
| | - Shuya Song
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, P.R. China
| | - Xinxin Hong
- Department of Gastroenterology, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518033, P.R. China
| | - Yifei Xu
- Department of Gastroenterology, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518033, P.R. China
| | - Yuqi Wu
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518033, P.R. China
| | - Shiting Li
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518033, P.R. China
| | - Sihui Zeng
- The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518033, P.R. China
| | - Yanzi Huang
- Department of Gastroenterology, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518033, P.R. China
| | - Xinbo Chen
- Department of Gastroenterology, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518033, P.R. China
| | - Yizhong Liang
- Department of Gastroenterology, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518033, P.R. China
| | - Shaoju Guo
- Department of Gastroenterology, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518033, P.R. China
| | - Huafeng Pan
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510006, P.R. China
| | - Haiwen Li
- Department of Gastroenterology, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong 518033, P.R. China
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Wang HQ, Liu Y, Li D, Liu JY, Jiang Y, He Y, Zhou JD, Wang ZL, Tang XY, Zhang Y, Zhen X, Cao ZW, Sheng XQ, Yang CF, Yue QL, Ding LJ, Hu YL, Hu ZB, Li CJ, Yan GJ, Sun HX. Maternal and embryonic signals cause functional differentiation of luminal epithelial cells and receptivity establishment. Dev Cell 2023; 58:2376-2392.e6. [PMID: 37643613 DOI: 10.1016/j.devcel.2023.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 04/11/2023] [Accepted: 08/01/2023] [Indexed: 08/31/2023]
Abstract
Embryo implantation requires temporospatial maternal-embryonic dialog. Using single-cell RNA sequencing for the uterus from 2.5 to 4.5 days post-coitum (DPC) and bulk sequencing for the corresponding embryos of 3.5 and 4.0 DPC pregnant mice, we found that estrogen-responsive luminal epithelial cells (EECs) functionally differentiated into adhesive epithelial cells (AECs) and supporting epithelial cells (SECs), promoted by progesterone. Along with maternal signals, embryonic Pdgfa and Efna3/4 signaling activated AECs and SECs, respectively, enhancing the attachment of embryos to the endometrium and furthering embryo development. This differentiation process was largely conserved between humans and mice. Notably, the developmental defects of SOX9-positive human endometrial epithelial cells (similar to mouse EEC) were related to thin endometrium, whereas functional defects of SEC-similar unciliated epithelial cells were related to recurrent implantation failure (RIF). Our findings provide insights into endometrial luminal epithelial cell development directed by maternal and embryonic signaling, which is crucial for endometrial receptivity.
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Affiliation(s)
- Hai-Quan Wang
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China
| | - Yang Liu
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Reproductive Medicine Center, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing 210023, China
| | - Dong Li
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Jing-Yu Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Yue Jiang
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Yuanlin He
- State Key Laboratory of Reproductive Medicine and Offspring Health Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Ji-Dong Zhou
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Zhi-Long Wang
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Xin-Yi Tang
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Yang Zhang
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Xin Zhen
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Zhi-Wen Cao
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Xiao-Qiang Sheng
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Chao-Fan Yang
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China
| | - Qiu-Ling Yue
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Li-Jun Ding
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Ya-Li Hu
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China
| | - Zhi-Bin Hu
- State Key Laboratory of Reproductive Medicine and Offspring Health Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Chao-Jun Li
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; State Key Laboratory of Reproductive Medicine and Offspring Health Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Gui-Jun Yan
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Reproductive Medicine Center, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing 210023, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China.
| | - Hai-Xiang Sun
- Center for Reproductive Medicine and Obstetrics & Gynecology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; State Key Laboratory of Reproductive Medicine and Offspring Health Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Center for Molecular Reproductive Medicine, Nanjing University, Nanjing 210008, China.
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Ke J, Zhang DG, Liu SZ, Luo Z. Functional analysis of selenok, selenot and selenop promoters and their regulation by selenium in yellow catfish Pelteobagrus fulvidraco. Gene 2023; 873:147461. [PMID: 37149273 DOI: 10.1016/j.gene.2023.147461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 04/25/2023] [Accepted: 05/01/2023] [Indexed: 05/08/2023]
Abstract
The selenok, selenot and selenop are three key selenoproteins involved in stress response. Our study, using the yellow catfish Pelteobagrus fulvidraco as the experimental animal, obtained the 1993-bp, 2000-bp and 1959-bp sequences of selenok, selenot and selenop promoters, respectively, and predicted the binding sites of several transcriptional factors on their promoters, such as Forkhead box O 4 (FoxO4), activating transcription factor 4 (ATF4), Kruppel-like factor 4 (KLF4) and nuclear factor erythroid 2-related factor 2 (NRF2). Selenium (Se) increased the activities of the selenok, selenot and selenop promoters. FoxO4 and Nrf2 can directly bind with selenok promoter and controlled selenok promoter activities positively; KLF4 and Nrf2 can directly bind with selenot promoter and controlled selenot promoter activities positively; FoxO4 and ATF4 can directly bind to selenop promoter and regulated selenop promoter activities positively. Se promoted FoxO4 and Nrf2 binding to selenok promoter, KLF4 and Nrf2 binding to selenot promoter, and FoxO4 and ATF4 binding to selenop promoter. Thus, we provide the first evidence for FoxO4 and Nrf2 bindnig elements in selenok promoter, KLF4 and Nrf2 binding elements in selenot promoter, and FoxO4 and ATF4 binding elements in selenop promoter, and offer novel insight into regulatory mechanism of these selenoproteins induced by Se.
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Affiliation(s)
- Jiang Ke
- Hubei Hongshan Laboratory, Fishery College, Huazhong Agriculture University, Wuhan 430070, China
| | - Dian-Guang Zhang
- Hubei Hongshan Laboratory, Fishery College, Huazhong Agriculture University, Wuhan 430070, China
| | - Sheng-Zan Liu
- Hubei Hongshan Laboratory, Fishery College, Huazhong Agriculture University, Wuhan 430070, China
| | - Zhi Luo
- Hubei Hongshan Laboratory, Fishery College, Huazhong Agriculture University, Wuhan 430070, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
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Otálora-Otálora BA, López-Kleine L, Rojas A. Lung Cancer Gene Regulatory Network of Transcription Factors Related to the Hallmarks of Cancer. Curr Issues Mol Biol 2023; 45:434-464. [PMID: 36661515 PMCID: PMC9857713 DOI: 10.3390/cimb45010029] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 12/13/2022] [Accepted: 12/15/2022] [Indexed: 01/06/2023] Open
Abstract
The transcriptomic analysis of microarray and RNA-Seq datasets followed our own bioinformatic pipeline to identify a transcriptional regulatory network of lung cancer. Twenty-six transcription factors are dysregulated and co-expressed in most of the lung cancer and pulmonary arterial hypertension datasets, which makes them the most frequently dysregulated transcription factors. Co-expression, gene regulatory, coregulatory, and transcriptional regulatory networks, along with fibration symmetries, were constructed to identify common connection patterns, alignments, main regulators, and target genes in order to analyze transcription factor complex formation, as well as its synchronized co-expression patterns in every type of lung cancer. The regulatory function of the most frequently dysregulated transcription factors over lung cancer deregulated genes was validated with ChEA3 enrichment analysis. A Kaplan-Meier plotter analysis linked the dysregulation of the top transcription factors with lung cancer patients' survival. Our results indicate that lung cancer has unique and common deregulated genes and transcription factors with pulmonary arterial hypertension, co-expressed and regulated in a coordinated and cooperative manner by the transcriptional regulatory network that might be associated with critical biological processes and signaling pathways related to the acquisition of the hallmarks of cancer, making them potentially relevant tumor biomarkers for lung cancer early diagnosis and targets for the development of personalized therapies against lung cancer.
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Affiliation(s)
- Beatriz Andrea Otálora-Otálora
- Grupo de Investigación INPAC, Unidad de Investigación, Fundación Universitaria Sanitas, Bogotá 110131, Colombia
- Facultad de Medicina, Universidad Nacional de Colombia, Bogotá 11001, Colombia
| | - Liliana López-Kleine
- Departamento de Estadística, Universidad Nacional de Colombia, Bogotá 11001, Colombia
- Correspondence: (L.L.-K.); (A.R.)
| | - Adriana Rojas
- Facultad de Medicina, Instituto de Genética Humana, Pontificia Universidad Javeriana, Bogotá 110211, Colombia
- Correspondence: (L.L.-K.); (A.R.)
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Lin Y, Wang Y, Li PF. Mutual regulation of lactate dehydrogenase and redox robustness. Front Physiol 2022; 13:1038421. [PMID: 36407005 PMCID: PMC9672381 DOI: 10.3389/fphys.2022.1038421] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
The nature of redox is electron transfer; in this way, energy metabolism brings redox stress. Lactate production is associated with NAD regeneration, which is now recognized to play a role in maintaining redox homeostasis. The cellular lactate/pyruvate ratio could be described as a proxy for the cytosolic NADH/NAD ratio, meaning lactate metabolism is the key to redox regulation. Here, we review the role of lactate dehydrogenases in cellular redox regulation, which play the role of the direct regulator of lactate–pyruvate transforming. Lactate dehydrogenases (LDHs) are found in almost all animal tissues; while LDHA catalyzed pyruvate to lactate, LDHB catalyzed the reverse reaction . LDH enzyme activity affects cell oxidative stress with NAD/NADH regulation, especially LDHA recently is also thought as an ROS sensor. We focus on the mutual regulation of LDHA and redox robustness. ROS accumulation regulates the transcription of LDHA. Conversely, diverse post-translational modifications of LDHA, such as phosphorylation and ubiquitination, play important roles in enzyme activity on ROS elimination, emphasizing the potential role of the ROS sensor and regulator of LDHA.
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Affiliation(s)
- Yijun Lin
- *Correspondence: Yijun Lin, ; Yan Wang, ; Pei-feng Li,
| | - Yan Wang
- *Correspondence: Yijun Lin, ; Yan Wang, ; Pei-feng Li,
| | - Pei-feng Li
- *Correspondence: Yijun Lin, ; Yan Wang, ; Pei-feng Li,
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SP and KLF Transcription Factors in Cancer Metabolism. Int J Mol Sci 2022; 23:ijms23179956. [PMID: 36077352 PMCID: PMC9456310 DOI: 10.3390/ijms23179956] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/24/2022] [Accepted: 08/27/2022] [Indexed: 11/17/2022] Open
Abstract
Tumor development and progression depend on reprogramming of signaling pathways that regulate cell metabolism. Alterations to various metabolic pathways such as glycolysis, oxidative phosphorylation, lipid metabolism, and hexosamine biosynthesis pathway are crucial to sustain increased redox, bioenergetic, and biosynthesis demands of a tumor cell. Transcription factors (oncogenes and tumor suppressors) play crucial roles in modulating these alterations, and their functions are tethered to major metabolic pathways under homeostatic conditions and disease initiation and advancement. Specificity proteins (SPs) and Krüppel-like factors (KLFs) are closely related transcription factors characterized by three highly conserved zinc fingers domains that interact with DNA. Studies have demonstrated that SP and KLF transcription factors are expressed in various tissues and regulate diverse processes such as proliferation, differentiation, apoptosis, inflammation, and tumorigenesis. This review highlights the role of SP and KLF transcription factors in the metabolism of various cancers and their impact on tumorigenesis. A better understanding of the role and underlying mechanisms governing the metabolic changes during tumorigenesis could provide new therapeutic opportunities for cancer treatment.
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Lin J, Cao Z, Yu D, Cai W. Identification of Transcription Factor-Related Gene Signature and Risk Score Model for Colon Adenocarcinoma. Front Genet 2021; 12:709133. [PMID: 34603375 PMCID: PMC8485095 DOI: 10.3389/fgene.2021.709133] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 09/03/2021] [Indexed: 01/10/2023] Open
Abstract
The prognosis of colon adenocarcinoma (COAD) remains poor. However, the specific and sensitive biomarkers for diagnosis and prognosis of COAD are absent. Transcription factors (TFs) are involved in many biological processes in cells. As the molecule of the signal pathway of the terminal effectors, TFs play important roles in tumorigenesis and development. A growing body of research suggests that aberrant TFs contribute to the development of COAD, as well as to its clinicopathological features and prognosis. In consequence, a few studies have investigated the relationship between the TF-related risk model and the prognosis of COAD. Therefore, in this article, we hope to develop a prognostic risk model based on TFs to predict the prognosis of patients with COAD. The mRNA transcription data and corresponding clinical data were downloaded from TCGA and GEO. Then, 141 differentially expressed genes, validated by the GEPIA2 database, were identified by differential expression analysis between normal and tumor samples. Univariate, multivariate and Lasso Cox regression analysis were performed to identify seven prognostic genes (E2F3, ETS2, HLF, HSF4, KLF4, MEIS2, and TCF7L1). The Kaplan-Meier curve and the receiver operating characteristic curve (ROC, 1-year AUC: 0.723, 3-year AUC: 0.775, 5-year AUC: 0.786) showed that our model could be used to predict the prognosis of patients with COAD. Multivariate Cox analysis also reported that the risk model is an independent prognostic factor of COAD. The external cohort (GSE17536 and GSE39582) was used to validate our risk model, which indicated that our risk model may be a reliable predictive model for COAD patients. Finally, based on the model and the clinicopathological factors, we constructed a nomogram with a C-index of 0.802. In conclusion, we emphasize the clinical significance of TFs in COAD and construct a prognostic model of TFs, which could provide a novel and reliable model for the prognosis of COAD.
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Affiliation(s)
- Jianwei Lin
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zichao Cao
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dingye Yu
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Cai
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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