1
|
Jin C, Liao S, Lu G, Geng BD, Ye Z, Xu J, Ge G, Yang D. Cellular senescence in metastatic prostate cancer: A therapeutic opportunity or challenge (Review). Mol Med Rep 2024; 30:162. [PMID: 38994760 PMCID: PMC11258599 DOI: 10.3892/mmr.2024.13286] [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: 03/07/2024] [Accepted: 06/14/2024] [Indexed: 07/13/2024] Open
Abstract
The treatment of patients with metastatic prostate cancer (PCa) is considered to be a long‑standing challenge. Conventional treatments for metastatic PCa, such as radical prostatectomy, radiotherapy and androgen receptor‑targeted therapy, induce senescence of PCa cells to a certain extent. While senescent cells can impede tumor growth through the restriction of cell proliferation and increasing immune clearance, the senescent microenvironment may concurrently stimulate the secretion of a senescence‑associated secretory phenotype and diminish immune cell function, which promotes PCa recurrence and metastasis. Resistance to established therapies is the primary obstacle in treating metastatic PCa as it can lead to progression towards an incurable state of disease. Therefore, understanding the molecular mechanisms that underly the progression of PCa is crucial for the development of novel therapeutic approaches. The present study reviews the phenomenon of treatment‑induced senescence in PCa, the dual role of senescence in PCa treatments and the mechanisms through which senescence promotes PCa metastasis. Furthermore, the present review discusses potential therapeutic strategies to target the aforementioned processes with the aim of providing insights into the evolving therapeutic landscape for the treatment of metastatic PCa.
Collapse
Affiliation(s)
- Cen Jin
- Center for Tissue Engineering and Stem Cell Research, Guizhou Medical University, Guiyang, Guizhou 561113, P.R. China
- Medical Imaging School, Guizhou Medical University, Guiyang, Guizhou 561113, P.R. China
| | - Sijian Liao
- Clinical Medicine School, Guizhou Medical University, Guiyang, Guizhou 561113, P.R. China
| | - Guoliang Lu
- Department of Pediatrics, Anshun People's Hospital, Anshun, Guizhou 561000, P.R. China
| | - Bill D. Geng
- School of Natural Science, University of Texas at Austin, Austin, TX 78712, USA
| | - Zi Ye
- Clinical Medicine School, Guizhou Medical University, Guiyang, Guizhou 561113, P.R. China
| | - Jianwei Xu
- Center for Tissue Engineering and Stem Cell Research, Guizhou Medical University, Guiyang, Guizhou 561113, P.R. China
| | - Guo Ge
- Department of Human Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, Guizhou 561113, P.R. China
| | - Dan Yang
- Department of Surgery, Clinical Medical College, Guizhou Medical University, Guiyang, Guizhou 561113, P.R. China
| |
Collapse
|
2
|
Pandey S, Singh R, Habib N, Tripathi RM, Kushwaha R, Mahdi AA. Regulation of Hypoxia Dependent Reprogramming of Cancer Metabolism: Role of HIF-1 and Its Potential Therapeutic Implications in Leukemia. Asian Pac J Cancer Prev 2024; 25:1121-1134. [PMID: 38679971 PMCID: PMC11162727 DOI: 10.31557/apjcp.2024.25.4.1121] [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: 08/18/2023] [Accepted: 04/20/2024] [Indexed: 05/01/2024] Open
Abstract
Metabolic reprogramming occurs to meet cancer cells' high energy demand. Its function is essential to the survival of malignancies. Comparing cancer cells to non-malignant cells has revealed that cancer cells have altered metabolism. Several pathways, particularly mTOR, Akt, PI3K, and HIF-1 (hypoxia-inducible factor-1) modulate the metabolism of cancer. Among other aspects of cancer biology, gene expression in metabolism, survival, invasion, proliferation, and angiogenesis of cells are controlled by HIF-1, a vital controller of cellular responsiveness to hypoxia. This article examines various cancer cell metabolisms, metabolic alterations that can take place in cancer cells, metabolic pathways, and molecular aspects of metabolic alteration in cancer cells placing special attention on the consequences of hypoxia-inducible factor and summarising some of their novel targets in the treatment of cancer including leukemia. A brief description of HIF-1α's role and target in a few common types of hematological malignancies (leukemia) is also elucidated in the present article.
Collapse
Affiliation(s)
- Sandeep Pandey
- Department of Biochemistry, King George’s Medical University, Lucknow, U.P., India.
| | - Ranjana Singh
- Department of Biochemistry, King George’s Medical University, Lucknow, U.P., India.
| | - Nimra Habib
- Department of Biochemistry, King George’s Medical University, Lucknow, U.P., India.
| | - Ramesh Mani Tripathi
- Department of Biochemistry, King George’s Medical University, Lucknow, U.P., India.
| | - Rashmi Kushwaha
- Department of Pathology, King George’s Medical University, Lucknow, U.P., India.
| | - Abbas Ali Mahdi
- Department of Biochemistry, King George’s Medical University, Lucknow, U.P., India.
| |
Collapse
|
3
|
Altuna-Coy A, Ruiz-Plazas X, Arreaza-Gil V, Segarra-Tomás J, Chacón MR. In silico analysis of prognostic and diagnostic significance of target genes from prostate cancer cell lines derived exomicroRNAs. Cancer Cell Int 2023; 23:275. [PMID: 37978493 PMCID: PMC10655318 DOI: 10.1186/s12935-023-03123-1] [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: 08/03/2023] [Accepted: 11/02/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Cancer-secreted exovesicles are important for cell-to-cell communication by altering cancer-related signalling pathways. Exovesicles-derived miRNAs (exomiRNAs)-target genes can be useful for diagnostic and prognostic purposes. METHODS ExomiRNA from prostate cancer (PCa) cells (PC-3 and LNCaP) were quantified by qRT-PCR and compared to the healthy cell line RWPE-1 by using miRNome PCR 752 miRNAs Panel. MiRNet database was used to predict exomiRNA-target genes. ExomiRNA-target genes pathway functional enrichment was performed by using Reactome database and Enrichr platform. Protein-protein interaction analysis was carried out by using the STRING database. RNA target-gene sequencing data from The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD) database was screened out in 465 PCa patients for candidate gene expression in prostate tumour (PT) tissue and non-pathologic prostate (N-PP) tissue. Signature gene candidates were statistically analysed for diagnosis and prognosis usefulness. RESULTS A total of 36 exomiRNAs were found downregulated when comparing PCa cells vs a healthy cell line; and when comparing PC-3 vs LNCaP, 14 miRNAs were found downregulated and 52 upregulated. Reactome pathway database revealed altered pathways and genes related to miRNA biosynthesis, miRNA-mediated gene silencing (TNRC6B and AGO1), and cell proliferation (CDK6), among others. Results showed that TNRC6B gene expression was up-regulated in PT tissue compared to N-PP (n = 52 paired samples) and could be useful for diagnostic purposes. Likewise, gene expression levels of CDK6, TNRC6B, and AGO1 were down-regulated in high-risk PT (n = 293) compared to low-risk PCa tissue counterparts (n = 172). When gene expression levels of CDK6, TNRC6B, and AGO1 were tested as a prognostic panel, the results showed that these improve the prognostic power of classical biomarkers. CONCLUSION ExomiRNAs-targets genes, TNRC6B, CDK6, and AGO1, showed a deregulated expression profile in PCa tissue and could be useful for PCa diagnosis and prognosis.
Collapse
Affiliation(s)
- Antonio Altuna-Coy
- Disease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira I Virgili, C/Dr. Mallafré Guasch, 4,, 43007, Tarragona, Spain
| | - Xavier Ruiz-Plazas
- Disease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira I Virgili, C/Dr. Mallafré Guasch, 4,, 43007, Tarragona, Spain
- Urology Unit, Joan XXIII University Hospital, Tarragona, Spain
| | - Verónica Arreaza-Gil
- Disease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira I Virgili, C/Dr. Mallafré Guasch, 4,, 43007, Tarragona, Spain
| | - José Segarra-Tomás
- Disease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira I Virgili, C/Dr. Mallafré Guasch, 4,, 43007, Tarragona, Spain
- Urology Unit, Joan XXIII University Hospital, Tarragona, Spain
| | - Matilde R Chacón
- Disease Biomarkers and Molecular Mechanisms Group, IISPV, Joan XXIII University Hospital, Universitat Rovira I Virgili, C/Dr. Mallafré Guasch, 4,, 43007, Tarragona, Spain.
| |
Collapse
|
4
|
Regulatory Role of Fatty Acid Metabolism-Related Long Noncoding RNA in Prostate Cancer: A Computational Biology Study Analysis. JOURNAL OF ONCOLOGY 2023; 2023:9736073. [PMID: 36824662 PMCID: PMC9943624 DOI: 10.1155/2023/9736073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 09/28/2022] [Accepted: 01/24/2023] [Indexed: 02/18/2023]
Abstract
In elderly men, prostate cancer is a leading cause of death. Tumor cells require more energy to progress than normal cells, and this energy is mainly dependent on the large amount of ATP support generated by lipid metabolism. Therefore, in this study, we focused on long noncoding RNAs related to lipid metabolism in prostate cancer to discover the biological mechanisms of lipid metabolism regulation. The TCGA-PRAD cohort was used in this study for computational biology analysis. In lipid metabolism biological pathways, 1959 long noncoding RNAs were identified by Pearson correlation coefficient analysis of protein-coding genes, then univariate regression with P values fewer than 0.05. We further identified 784 lncRNAs that were lipid metabolism-related lncRNAs considered to have prognostic value for disease-free survival. Subsequently, we constructed two lncRNA expression patterns of lipid metabolism based on these lncRNAs by nonnegative matrix dimensionality reduction. These two expression patterns showed significant differences in disease-free survival curves for those diagnosed with prostate cancer. We found significant differences in mRNA surveillance pathway and mRNA processing between C1 and C2 groups based on the WGCNA method to explore the biological characteristics of these two expression patterns. Finally, we constructed a disease-free survival (PFS) model based on these lncRNAs. The results identified lncRNAs involved in lipid metabolism and revealed differences in their expression patterns. Additionally, the results offer candidate ideas and approaches concerning the precision treatment of prostate cancer by studying lipid metabolism by candidate long noncoding RNAs.
Collapse
|
5
|
Metabolic Reprogramming in Cancer Cells: Emerging Molecular Mechanisms and Novel Therapeutic Approaches. Pharmaceutics 2022; 14:pharmaceutics14061303. [PMID: 35745875 PMCID: PMC9227908 DOI: 10.3390/pharmaceutics14061303] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 06/01/2022] [Accepted: 06/13/2022] [Indexed: 12/03/2022] Open
Abstract
The constant changes in cancer cell bioenergetics are widely known as metabolic reprogramming. Reprogramming is a process mediated by multiple factors, including oncogenes, growth factors, hypoxia-induced factors, and the loss of suppressor gene function, which support malignant transformation and tumor development in addition to cell heterogeneity. Consequently, this hallmark promotes resistance to conventional anti-tumor therapies by adapting to the drastic changes in the nutrient microenvironment that these therapies entail. Therefore, it represents a revolutionary landscape during cancer progression that could be useful for developing new and improved therapeutic strategies targeting alterations in cancer cell metabolism, such as the deregulated mTOR and PI3K pathways. Understanding the complex interactions of the underlying mechanisms of metabolic reprogramming during cancer initiation and progression is an active study field. Recently, novel approaches are being used to effectively battle and eliminate malignant cells. These include biguanides, mTOR inhibitors, glutaminase inhibition, and ion channels as drug targets. This review aims to provide a general overview of metabolic reprogramming, summarise recent progress in this field, and emphasize its use as an effective therapeutic target against cancer.
Collapse
|
6
|
Resurreccion EP, Fong KW. The Integration of Metabolomics with Other Omics: Insights into Understanding Prostate Cancer. Metabolites 2022; 12:metabo12060488. [PMID: 35736421 PMCID: PMC9230859 DOI: 10.3390/metabo12060488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 05/21/2022] [Accepted: 05/24/2022] [Indexed: 02/06/2023] Open
Abstract
Our understanding of prostate cancer (PCa) has shifted from solely caused by a few genetic aberrations to a combination of complex biochemical dysregulations with the prostate metabolome at its core. The role of metabolomics in analyzing the pathophysiology of PCa is indispensable. However, to fully elucidate real-time complex dysregulation in prostate cells, an integrated approach based on metabolomics and other omics is warranted. Individually, genomics, transcriptomics, and proteomics are robust, but they are not enough to achieve a holistic view of PCa tumorigenesis. This review is the first of its kind to focus solely on the integration of metabolomics with multi-omic platforms in PCa research, including a detailed emphasis on the metabolomic profile of PCa. The authors intend to provide researchers in the field with a comprehensive knowledge base in PCa metabolomics and offer perspectives on overcoming limitations of the tool to guide future point-of-care applications.
Collapse
Affiliation(s)
- Eleazer P. Resurreccion
- Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY 40506, USA;
| | - Ka-wing Fong
- Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY 40506, USA;
- Markey Cancer Center, University of Kentucky, Lexington, KY 40506, USA
- Correspondence: ; Tel.: +1-859-562-3455
| |
Collapse
|
7
|
Su Q, Liu Z, Chen C, Gao H, Zhu Y, Wang L, Pan M, Liu J, Yang X, Tian J. Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy. Cancer Med 2021; 10:6492-6502. [PMID: 34453418 PMCID: PMC8446568 DOI: 10.1002/cam4.4092] [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: 11/17/2020] [Revised: 04/16/2021] [Accepted: 06/05/2021] [Indexed: 12/27/2022] Open
Abstract
Background This study evaluated the predictive value of gene signatures for biochemical recurrence (BCR) in primary prostate cancer (PCa) patients. Methods Clinical features and gene expression profiles of PCa patients were attained from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets, which were further classified into a training set (n = 419), a validation set (n = 403). The least absolute shrinkage and selection operator Cox (LASSO‐Cox) method was used to select discriminative gene signatures in training set for biochemical recurrence‐free survival (BCRFS). Selected gene signatures established a risk score system. Univariate and multivariate analyses of prognostic factors about BCRFS were performed using the Cox proportional hazards regression models. A nomogram based on multivariate analysis was plotted to facilitate clinical application. Kyoto Encyclopedia of Gene and Genomes (KEGG) and Gene Ontology (GO) analyses were then executed for differentially expressed genes (DEGs). Results Notably, the risk score could significantly identify BCRFS by time‐dependent receiver operating characteristic (t‐ROC) curves in the training set (3‐year area under the curve (AUC) = 0.820, 5‐year AUC = 0.809) and the validation set (3‐year AUC = 0.723, 5‐year AUC = 0.733). Conclusions Clinically, the nomogram model, which incorporates Gleason score and the risk score, could effectively predict BCRFS and potentially be utilized as a useful tool for the screening of BCRFS in PCa.
Collapse
Affiliation(s)
- Qiang Su
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.,Clinical Laboratory Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Urinary Cellular Molecular Diagnostics, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
| | - Zhenyu Liu
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Chi Chen
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
| | - Han Gao
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
| | - Yongbei Zhu
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
| | - Liusu Wang
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
| | - Meiqing Pan
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
| | - Jiangang Liu
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
| | - Xin Yang
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Jie Tian
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China.,CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| |
Collapse
|
8
|
TRAF6 Promoted Tumor Glycolysis in Non-Small-Cell Lung Cancer by Activating the Akt-HIF α Pathway. BIOMED RESEARCH INTERNATIONAL 2021; 2021:3431245. [PMID: 34409101 PMCID: PMC8367595 DOI: 10.1155/2021/3431245] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 07/15/2021] [Indexed: 12/20/2022]
Abstract
TRAF6 has been reported to be associated with poor prognosis in non-small-cell lung cancer (NSCLC). However, its precise role in tumor development has not been elaborated. In the present study, the function and the mechanism by which TRAF6 contributes to development were intensively investigated. TRAF6 was found to be overexpressed in primary NSCLC tumor tissue and all tested cell lines. Knockdown of TRAF6 with shRNA substantially attenuated NSCLC cell proliferation and anchorage-independent growth. Moreover, tumor glycolysis, such as glucose consumption and lactate production, also significantly impaired. In TRAF6-deficient cells, hexokinase-2 expression was significantly reduced, which was caused by the decrease of HIF-1α transcriptional activity. Further investigations demonstrated that TRAF6 played an important role in the regulation of Akt activation, and exogenous overexpression of constitutively activated Akt substantially rescued glycolysis suppression in TRAF6 knockdown cells. The results of the xenograft model confirmed that downregulation of TRAF6 in NSCLC tumor cells dramatically restrained tumor growth in vivo. Taken together, our studies revealed the mechanism by which TRAF6 exerts its role in NSCLC development and suggested TRAF6 maybe was a promising candidate target for lung cancer prevention and therapy.
Collapse
|
9
|
Bastos DC, Ribeiro CF, Ahearn T, Nascimento J, Pakula H, Clohessy J, Mucci L, Roberts T, Zanata SM, Zadra G, Loda M. Genetic ablation of FASN attenuates the invasive potential of prostate cancer driven by Pten loss. J Pathol 2020; 253:292-303. [PMID: 33166087 PMCID: PMC7898611 DOI: 10.1002/path.5587] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 09/23/2020] [Accepted: 10/30/2020] [Indexed: 12/12/2022]
Abstract
Loss of the tumor suppressor gene Pten in murine prostate recapitulates human carcinogenesis and causes stromal proliferation surrounding murine prostate intraepithelial neoplasia (mPIN), which is reactive to microinvasion. In turn, invasion has been shown to be regulated in part by de novo fatty acid synthesis in prostate cancer. We therefore investigated the effects of genetic ablation of Fasn on invasive potential in prostate‐specific Pten knockout mice. Combined genetic ablation of Fasn and Pten reduced the weight and volume of all the prostate lobes when compared to single knockouts. The stromal reaction to microinvasion and the cell proliferation that typically occurs in Pten knockout were largely abolished by Fasn knockout. To verify that Fasn knockout indeed results in decreased invasive potential, we show that genetic ablation and pharmacologic inhibition of FASN in prostate cancer cells significantly inhibit cellular motility and invasion. Finally, combined loss of PTEN with FASN overexpression was associated with lethality as assessed in 660 prostate cancer patients with 14.2 years of median follow‐up. Taken together, these findings show that de novo lipogenesis contributes to the aggressive phenotype induced by Pten loss in murine prostate and targeting Fasn may reduce the invasive potential of prostate cancer driven by Pten loss. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.
Collapse
Affiliation(s)
- Débora C Bastos
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Oral Biosciences, University of Campinas, Piracicaba, Brazil
| | - Caroline F Ribeiro
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY, USA
| | - Thomas Ahearn
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jéssica Nascimento
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Hubert Pakula
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY, USA
| | - John Clohessy
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Lorelei Mucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Thomas Roberts
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Silvio M Zanata
- Departments of Basic Pathology and Cell Biology, Universidade Federal do Paraná, Curitiba, Brazil
| | - Giorgia Zadra
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Massimo Loda
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA.,Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY, USA.,New York Genome Center, New York, NY, USA.,The Broad Institute, Cambridge, MA, USA
| |
Collapse
|
10
|
O'Sullivan SE, Kaczocha M. FABP5 as a novel molecular target in prostate cancer. Drug Discov Today 2020; 25:S1359-6446(20)30375-5. [PMID: 32966866 PMCID: PMC8059105 DOI: 10.1016/j.drudis.2020.09.018] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 08/07/2020] [Accepted: 09/15/2020] [Indexed: 12/22/2022]
Abstract
Emerging evidence suggests that dysregulated lipid signaling is a key factor in prostate cancer (PC), through fatty acid activation of the nuclear receptors peroxisome proliferator-activated receptors (PPARs), leading to the upregulation of protumoral genes. Fatty acid-binding proteins (FABPs) are intracellular lipid-binding proteins that transport fatty acid to PPARs, facilitating their activation. FABP5 is overexpressed in PC, and correlates with poor patient prognosis and survival. Genetic knockdown or silencing of FABP5 decreases the proliferation and invasiveness of PC cells in vitro, and reduces tumor growth and metastasis in vivo. Pharmacological FABP5-specific inhibitors also reduce tumor growth and metastases, and produce synergistic effects with taxanes. In this review, we present current data supporting FABP5 as a novel molecular target for PC.
Collapse
Affiliation(s)
| | - Martin Kaczocha
- Institute of Chemical Biology and Drug Discovery, Stony Brook University, Stony Brook, NYH, USA
| |
Collapse
|
11
|
Hexane Insoluble Fraction from Purple Rice Extract Retards Carcinogenesis and Castration-Resistant Cancer Growth of Prostate Through Suppression of Androgen Receptor Mediated Cell Proliferation and Metabolism. Nutrients 2020; 12:nu12020558. [PMID: 32093357 PMCID: PMC7071398 DOI: 10.3390/nu12020558] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Revised: 02/13/2020] [Accepted: 02/18/2020] [Indexed: 01/29/2023] Open
Abstract
Prostate cancer and castration-resistant prostate cancer (CRPC) remain major health challenges in men. In this study, the inhibitory effects of a hexane insoluble fraction from a purple rice ethanolic extract (PRE-HIF) on prostate carcinogenesis and CRPC were investigated both in vivo and in vitro. In the Transgenic Rat for Adenocarcinoma of Prostate (TRAP) model, 1% PRE-HIF mixed diet-fed rats showed a significantly higher percentage of low-grade prostatic intraepithelial neoplasia and obvious reduction in the incidence of adenocarcinoma in the lateral lobes of the prostate. Additionally, 1% PRE-HIF supplied diet significantly suppressed the tumor growth in a rat CRPC xenograft model of PCai1 cells. In LNCaP and PCai1 cells, PRE-HIF treatment suppressed cell proliferation and induced G0/G1 cell-cycle arrest. Furthermore, androgen receptor (AR), cyclin D1, cdk4, and fatty acid synthase expression were down-regulated while attenuation of p38 mitogen-activated protein kinase, and AMP-activated protein kinase α activation occurred in PRE-HIF treated prostate cancer cells, rat prostate tissues, and CRPC tumors. Due to consistent results with PRE-HIF in PCai1 cells, cyanidin-3-glucoside was characterized as the active compound. Altogether, we surmise that PRE-HIF blocks the development of prostate cancer and CRPC through the inhibition of cell proliferation and metabolic pathways.
Collapse
|
12
|
Rodríguez-Enríquez S, Marín-Hernández Á, Gallardo-Pérez JC, Pacheco-Velázquez SC, Belmont-Díaz JA, Robledo-Cadena DX, Vargas-Navarro JL, Corona de la Peña NA, Saavedra E, Moreno-Sánchez R. Transcriptional Regulation of Energy Metabolism in Cancer Cells. Cells 2019; 8:cells8101225. [PMID: 31600993 PMCID: PMC6830338 DOI: 10.3390/cells8101225] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 09/19/2019] [Accepted: 10/01/2019] [Indexed: 01/17/2023] Open
Abstract
Cancer development, growth, and metastasis are highly regulated by several transcription regulators (TRs), namely transcription factors, oncogenes, tumor-suppressor genes, and protein kinases. Although TR roles in these events have been well characterized, their functions in regulating other important cancer cell processes, such as metabolism, have not been systematically examined. In this review, we describe, analyze, and strive to reconstruct the regulatory networks of several TRs acting in the energy metabolism pathways, glycolysis (and its main branching reactions), and oxidative phosphorylation of nonmetastatic and metastatic cancer cells. Moreover, we propose which possible gene targets might allow these TRs to facilitate the modulation of each energy metabolism pathway, depending on the tumor microenvironment.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Norma Angélica Corona de la Peña
- Unidad de Investigación Médica en Trombosis, Hemostasia y Aterogénesis, Hospital General Regional Carlos McGregor-Sánchez, México CP 03100, Mexico.
| | - Emma Saavedra
- Departamento de Bioquímica, Instituto Nacional de Cardiología, México 14080, Mexico.
| | - Rafael Moreno-Sánchez
- Departamento de Bioquímica, Instituto Nacional de Cardiología, México 14080, Mexico.
| |
Collapse
|
13
|
Hu Y, Yan J. Aberrant expression and mechanism of miR-130b-3p/phosphatase and tensin homolog in nephroblastoma in children. Exp Ther Med 2019; 18:1021-1028. [PMID: 31316599 PMCID: PMC6601369 DOI: 10.3892/etm.2019.7643] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Accepted: 03/07/2019] [Indexed: 12/14/2022] Open
Abstract
Nephroblastoma is the most common renal tumor in children. Abnormal expression of microRNAs (miRs) has been reported to be involved in the progression of various types of cancers. However, the role and underlying mechanism of miR-130b-3p in nephroblastoma remains unknown. Therefore, the present study aimed to explore the role and possible mechanism of miR-130b-3p in nephroblastoma in children. The present study identified that miR-130b-3p was highly expressed in nephroblastoma tissues obtained from children with nephroblastoma. To better understand the functions and the molecular mechanisms of miR-130b-3p in nephroblastoma, TargetScan was used to identify the potential targets of miR-130b-3p. Phosphatase and tensin homolog (PTEN), was identified as a target gene of miR-130b-3p, and it was observed to be downregulated in nephroblastoma. Further analysis indicated that miR-130b-3p inhibitor could significantly reduce cell proliferation, induce apoptosis and suppress the Akt/nuclear factor-κB/survivin signaling pathway in nephroblastoma cells. Notably, all these effects of miR-130b-3p on nephroblastoma cells were reversed by PTEN-small interfering RNA. In summary, the present study suggested that the miR-130b-3p/PTEN axis could serve a critical role in the progression and development of nephroblastoma. It also suggests that miR-130b-3p might be a valuable clinical biomarker and therapeutic target for nephroblastoma in children.
Collapse
Affiliation(s)
- Yifeng Hu
- Department of Pediatric Surgery, Zaozhuang Municipal Hospital, Zaozhuang, Shandong 277102, P.R. China
| | - Jingtie Yan
- Department of Pediatric Surgery, Zaozhuang Municipal Hospital, Zaozhuang, Shandong 277102, P.R. China
| |
Collapse
|
14
|
Yang J, Tian Y, Zheng R, Li L, Qiu F. Endocannabinoid system and the expression of endogenous ceramides in human hepatocellular carcinoma. Oncol Lett 2019; 18:1530-1538. [PMID: 31423220 DOI: 10.3892/ol.2019.10399] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 04/15/2019] [Indexed: 01/27/2023] Open
Abstract
The endogenous lipid metabolism network is associated with the occurrence and progression of malignancies. Endocannabinoids and ceramides have demonstrated their anti-proliferative and pro-apoptotic properties in a series of cancer studies. The aim of the present study was to evaluate the expression patterns of endocannabinoids and endogenous ceramides in 67 pairs of human hepatocellular carcinoma (HCC) tissues and non-cancerous counterpart controls. Anandamide (AEA), the major endocannabinoid, was reduced in tumor tissues, probably due to the high expression and activity of fatty acid amide hydrolase. Another important endocannabinoid, 2-arachidonylglycerol (2-AG), was elevated in tumor tissues compared with non-tumor controls, indicating that the biosynthesis of 2-AG is faster than the degradation of 2-AG in tumor cells. Furthermore, western blot analysis demonstrated that cannabinoid receptor 1 was downregulated, while cannabinoid receptor 2 was elevated in HCC tissues, in accordance with the alterations in the levels of AEA and 2-AG, respectively. For HCC tissues, the expression levels of C18:0, 20:0 and 24:0-ceramides decreased significantly, whereas C12:0, 16:0, 18:1 and 24:1-ceramides were upregulated, which may be associated with cannabinoid receptor activation and stearoyl-CoA desaturase protein downregulation. The exact role of endocannabinoids and ceramides in regulating the fate of HCC cells requires further investigation.
Collapse
Affiliation(s)
- Jiayong Yang
- Department of Pharmacy, The Fifth Hospital of Xiamen, Xiamen, Fujian 361101, P.R. China.,Department of Pharmacy, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, P.R. China
| | - Yifeng Tian
- Provincial Clinical College, Fujian Medical University, Fuzhou, Fujian 350004, P.R. China.,Department of Hepatobiliary Surgery, Fujian Provincial Hospital, Fuzhou, Fujian 350001, P.R. China
| | - Ruihe Zheng
- Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian 361102, P.R. China
| | - Lei Li
- Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian 361102, P.R. China
| | - Funan Qiu
- Provincial Clinical College, Fujian Medical University, Fuzhou, Fujian 350004, P.R. China.,Department of Hepatobiliary Surgery, Fujian Provincial Hospital, Fuzhou, Fujian 350001, P.R. China
| |
Collapse
|