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Dai X, Wang H, Zhong R, Li J, Hou Y. Causality of genetically determined metabolites on susceptibility to prevalent urological cancers: a two-sample Mendelian randomization study and meta-analysis. Front Genet 2024; 15:1398165. [PMID: 39011400 PMCID: PMC11246892 DOI: 10.3389/fgene.2024.1398165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Accepted: 06/14/2024] [Indexed: 07/17/2024] Open
Abstract
Background Prevalent urological cancers, including kidney, prostate, bladder, and testicular cancers, contribute significantly to global cancer incidence and mortality. Metabolomics, focusing on small-molecule intermediates, has emerged as a tool to understand cancer etiology. Given the knowledge gap in this field, we employ a two-sample Mendelian randomization (MR) analysis to investigate the causal relationships between genetically determined metabolites (GDMs) and the susceptibility to four common urological cancers. Methods The study employs genome-wide association studies (GWAS) data from European populations, featuring the most extensive case count available for both blood metabolites and four prevalent urological cancers. Preliminary and secondary MR analyses were separately conducted, employing inverse variance weighted (IVW) as the primary method. Multiple statistical analyses, including the MR-Steiger test, Cochran's Q test, leave-one-out analysis, MR-Egger intercept analysis, and MR-PRESSO analysis, were executed to ensure robustness. Additionally, a meta-analysis was carried out to consolidate findings. The weighted median (WM) method was utilized for a relatively lenient correction (PWM < 0.05). Results After rigorous genetic variation filtering, 645 out of 1,400 metabolites were included in both preliminary and secondary MR analyses. Preliminary MR analysis identified 96 potential causal associations between 94 distinct metabolites and four urological cancers. Secondary analysis based on Finnish outcome data revealed 93 potential causal associations. Cross-database meta-analysis identified 68 blood metabolites associated with four urological cancers. Notably, 31 metabolites remained significant after using WM for correction, with additional 37 suggestive causal relationships. Reverse MR analysis revealed a significant causal association between genetically predicted prostate cancer and elevated 4-hydroxychlorothalonil levels (IVW, combined OR: 1.039, 95% CI 1.014-1.064, p = 0.002; WM, combined OR: 1.052, 95% CI 1.010-1.095, p = 0.014). Conclusion This comprehensive MR study provides insights into the causal relationships between blood metabolites and urological cancers, revealing potential biomarkers and therapeutic targets, thereby addressing gaps in understanding and laying the foundation for targeted interventions in urological cancer research and treatment.
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Affiliation(s)
- Xianyu Dai
- Urology Department, First Hospital of Jilin University, Changchun, China
| | - Hongjie Wang
- Urology Department, First Hospital of Jilin University, Changchun, China
| | - Rong Zhong
- Urology Department, First Hospital of Jilin University, Changchun, China
| | - Jiajun Li
- Department of Hepatic Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yuchuan Hou
- Urology Department, First Hospital of Jilin University, Changchun, China
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Chang F, Liu H, Wan J, Gao Y, Wang Z, Zhang L, Feng Q. Construction and Validation of a Prognostic Risk Prediction Model for Lactate Metabolism-Related lncRNA in Endometrial Cancer. Biochem Genet 2024; 62:741-760. [PMID: 37423972 DOI: 10.1007/s10528-023-10443-4] [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: 03/08/2023] [Accepted: 06/29/2023] [Indexed: 07/11/2023]
Abstract
Endometrial cancer (EC) is a common group of malignant epithelial tumors that mainly occur in the female endometrium. Lactate is a key regulator of signal pathways in normal and malignant tissues. However, there is still no research on lactate metabolism-related lncRNA in EC. Here, we intended to establish a prognostic risk model for EC based on lactate metabolism-related lncRNA to forecast the prognosis of EC patients. First, we found that 38 lactate metabolism-associated lncRNAs were significantly overall survival through univariate Cox regression analysis. Using minimum absolute contraction and selection operator (LASSO) regression analysis and multivariate Cox regression analysis, six lactate metabolism-related lncRNAs were established as independent predictor in EC patients and were used to establish a prognostic risk signature. We next used multifactorial COX regression analysis and receiver operating characteristic (ROC) curve analysis to confirm that risk score was an independent prognostic factor of overall patient survival. The survival time of patients with EC in different high-risk populations was obviously related to clinicopathological factors. In addition, lactate metabolism-related lncRNA in high-risk population participated in multiple aspects of EC malignant progress through Gene Set Enrichment Analysis, Genomes pathway and Kyoto Encyclopedia of Genes and Gene Ontology. And risk scores were strongly associated with tumor mutation burden, immunotherapy response and microsatellite instability. Finally, we chose a lncRNA SRP14-AS1 to validate the model we have constructed. Interestingly, we observed that the expression degree of SRP14-AS1 was lower in tumor tissues of EC patients than in normal tissues, which was consistent with our findings in the TCGA database. In conclusion, our study constructed a prognostic risk model through lactate metabolism-related lncRNA and validated the model, confirming that the model can be used to predict the prognosis of EC patients and providing a molecular analysis of potential prognostic lncRNA for EC.
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Affiliation(s)
- Fenghua Chang
- Department of Obstetrics and Gynecology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Hongyang Liu
- Department of Obstetrics and Gynecology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Junhu Wan
- Department of Clinical Laboratory, Key Clinical Laboratory of Henan Province, First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Ya Gao
- Department of Obstetrics and Gynecology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Zhiting Wang
- Department of Obstetrics and Gynecology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Lindong Zhang
- Department of Obstetrics and Gynecology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Quanling Feng
- Department of Obstetrics and Gynecology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
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Ciocan RA, Ciocan A, Mihăileanu FV, Ursu CP, Ursu Ș, Bodea C, Cordoș AA, Chiș BA, Al Hajjar N, Dîrzu N, Dîrzu DS. Metabolic Signatures: Pioneering the Frontier of Rectal Cancer Diagnosis and Response to Neoadjuvant Treatment with Biomarkers-A Systematic Review. Int J Mol Sci 2024; 25:2381. [PMID: 38397058 PMCID: PMC10889270 DOI: 10.3390/ijms25042381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 02/06/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
Colorectal cancer (CRC) is one of the most aggressive, heterogenous, and fatal types of human cancer for which screening, and more effective therapeutic drugs are urgently needed. Early-stage detection and treatment greatly improve the 5-year survival rate. In the era of targeted therapies for all types of cancer, a complete metabolomic profile is mandatory before neoadjuvant therapy to assign the correct drugs and check the response to the treatment given. The aim of this study is to discover specific metabolic biomarkers or a sequence of metabolomic indicators that possess precise diagnostic capabilities in predicting the efficacy of neoadjuvant therapy. After searching the keywords, a total of 108 articles were identified during a timeframe of 10 years (2013-2023). Within this set, one article was excluded due to the use of non-English language. Six scientific papers were qualified for this investigation after eliminating all duplicates, publications not referring to the subject matter, open access restriction papers, and those not applicable to humans. Biomolecular analysis found a correlation between metabolomic analysis of colorectal cancer samples and poor progression-free survival rates. Biomarkers are instrumental in predicting a patient's response to specific treatments, guiding the selection of targeted therapies, and indicating resistance to certain drugs.
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Affiliation(s)
- Răzvan Alexandru Ciocan
- Department of Surgery-Practical Abilities, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania;
| | - Andra Ciocan
- Department of Surgery, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400162 Cluj-Napoca, Romania; (F.V.M.); (C.-P.U.); (Ș.U.); (C.B.); (N.A.H.)
- “Prof. Dr. Octavian Fodor” Regional Institute of Gastroenterology and Hepatology, 400162 Cluj-Napoca, Romania
| | - Florin Vasile Mihăileanu
- Department of Surgery, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400162 Cluj-Napoca, Romania; (F.V.M.); (C.-P.U.); (Ș.U.); (C.B.); (N.A.H.)
| | - Cristina-Paula Ursu
- Department of Surgery, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400162 Cluj-Napoca, Romania; (F.V.M.); (C.-P.U.); (Ș.U.); (C.B.); (N.A.H.)
| | - Ștefan Ursu
- Department of Surgery, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400162 Cluj-Napoca, Romania; (F.V.M.); (C.-P.U.); (Ș.U.); (C.B.); (N.A.H.)
| | - Cătălin Bodea
- Department of Surgery, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400162 Cluj-Napoca, Romania; (F.V.M.); (C.-P.U.); (Ș.U.); (C.B.); (N.A.H.)
| | | | - Bogdan Augustin Chiș
- Department of Internal Medicine, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400162 Cluj-Napoca, Romania;
| | - Nadim Al Hajjar
- Department of Surgery, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400162 Cluj-Napoca, Romania; (F.V.M.); (C.-P.U.); (Ș.U.); (C.B.); (N.A.H.)
- “Prof. Dr. Octavian Fodor” Regional Institute of Gastroenterology and Hepatology, 400162 Cluj-Napoca, Romania
| | - Noemi Dîrzu
- Clinical Laboratory Department, Transilvania Hospital, 400486 Cluj-Napoca, Romania
| | - Dan-Sebastian Dîrzu
- Emergency County Hospital Cluj, 400006 Cluj-Napoca, Romania;
- STAR—UBB Institute, Babeș Bolyai University, 400084 Cluj-Napoca, Romania
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Bridgewater HE, Bolitho EM, Romero-Canelón I, Sadler PJ, Coverdale JPC. Targeting cancer lactate metabolism with synergistic combinations of synthetic catalysts and monocarboxylate transporter inhibitors. J Biol Inorg Chem 2023; 28:345-353. [PMID: 36884092 PMCID: PMC10036267 DOI: 10.1007/s00775-023-01994-3] [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: 10/18/2022] [Accepted: 02/13/2023] [Indexed: 03/09/2023]
Abstract
Synthetic anticancer catalysts offer potential for low-dose therapy and the targeting of biochemical pathways in novel ways. Chiral organo-osmium complexes, for example, can catalyse the asymmetric transfer hydrogenation of pyruvate, a key substrate for energy generation, in cells. However, small-molecule synthetic catalysts are readily poisoned and there is a need to optimise their activity before this occurs, or to avoid this occurring. We show that the activity of the synthetic organometallic redox catalyst [Os(p-cymene)(TsDPEN)] (1), which can reduce pyruvate to un-natural D-lactate in MCF7 breast cancer cells using formate as a hydride source, is significantly increased in combination with the monocarboxylate transporter (MCT) inhibitor AZD3965. AZD3965, a drug currently in clinical trials, also significantly lowers the intracellular level of glutathione and increases mitochondrial metabolism. These synergistic mechanisms of reductive stress induced by 1, blockade of lactate efflux, and oxidative stress induced by AZD3965 provide a strategy for low-dose combination therapy with novel mechanisms of action.
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Affiliation(s)
- Hannah E Bridgewater
- Department of Chemistry, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, UK
- Centre of Exercise, Sport and Life Science, Faculty of Health and Life Sciences, Coventry University, Coventry, CV1 5FB, UK
| | - Elizabeth M Bolitho
- Department of Chemistry, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, UK
| | - Isolda Romero-Canelón
- Department of Chemistry, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, UK
- School of Pharmacy, Institute of Clinical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Peter J Sadler
- Department of Chemistry, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, UK
| | - James P C Coverdale
- Department of Chemistry, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, UK.
- School of Pharmacy, Institute of Clinical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
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Dong M, Cao L, Cui R, Xie Y. The connection between innervation and metabolic rearrangements in pancreatic cancer through serine. Front Oncol 2022; 12:992927. [PMID: 36582785 PMCID: PMC9793709 DOI: 10.3389/fonc.2022.992927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 10/31/2022] [Indexed: 12/15/2022] Open
Abstract
Pancreatic cancer is a kind of aggressive tumor famous for its lethality and intractability, and pancreatic ductal adenocarcinoma is the most common type. Patients with pancreatic cancer often suffer a rapid loss of weight and abdominal neuropathic pain in their early stages and then go through cachexia in the advanced stage. These features of patients are considered to be related to metabolic reprogramming of pancreatic cancer and abundant nerve innervation responsible for the pain. With increasing literature certifying the relationship between nerves and pancreatic ductal adenocarcinoma (PDAC), more evidence point out that innervation's role is not limited to neuropathic pain but explore its anti/pro-tumor functions in PDAC, especially the neural-metabolic crosstalks. This review aims to unite pancreatic cancer's innervation and metabolic rearrangements with terminated published articles. Hopefully, this article could explore the pathogenesis of PDAC and further promote promising detecting or therapeutic measurements for PDAC according to the lavish innervation in PDAC.
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Affiliation(s)
- Mengmeng Dong
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Lidong Cao
- Department of Hepatobiliary and Pancreatic Surgery, Second Hospital of Jilin University, Changchun, China,Jilin Engineering Laboratory for Translational Medicine of Hepatobiliary and Pancreatic Diseases, Second Hospital of Jilin University, Changchun, China,Department of Hepatobiliary and Pancreatic Surgery, Zhejiang Provincial Peoples Hospital, Hangzhou, China
| | - Ranji Cui
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China,*Correspondence: Ranji Cui, ; Yingjun Xie,
| | - Yingjun Xie
- Department of Hepatobiliary and Pancreatic Surgery, Second Hospital of Jilin University, Changchun, China,Jilin Engineering Laboratory for Translational Medicine of Hepatobiliary and Pancreatic Diseases, Second Hospital of Jilin University, Changchun, China,*Correspondence: Ranji Cui, ; Yingjun Xie,
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Pacheco MP, Ji J, Prohaska T, García MM, Sauter T. scFASTCORMICS: A Contextualization Algorithm to Reconstruct Metabolic Multi-Cell Population Models from Single-Cell RNAseq Data. Metabolites 2022; 12:1211. [PMID: 36557249 PMCID: PMC9785421 DOI: 10.3390/metabo12121211] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 12/04/2022] Open
Abstract
Tumours are composed of various cancer cell populations with different mutation profiles, phenotypes and metabolism that cause them to react to drugs in diverse manners. Increasing the resolution of metabolic models based on single-cell expression data will provide deeper insight into such metabolic differences and improve the predictive power of the models. scFASTCORMICS is a network contextualization algorithm that builds multi-cell population genome-scale models from single-cell RNAseq data. The models contain a subnetwork for each cell population in a tumour, allowing to capture metabolic variations between these clusters. The subnetworks are connected by a union compartment that permits to simulate metabolite exchanges between cell populations in the microenvironment. scFASTCORMICS uses Pareto optimization to simultaneously maximise the compactness, completeness and specificity of the reconstructed metabolic models. scFASTCORMICS is implemented in MATLAB and requires the installation of the COBRA toolbox, rFASTCORMICS and the IBM CPLEX solver.
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Affiliation(s)
- Maria Pires Pacheco
- Department of Life Sciences and Medicine, University of Luxembourg, 4367 Belvaux, Luxembourg
| | - Jimmy Ji
- Department of Life Sciences and Medicine, University of Luxembourg, 4367 Belvaux, Luxembourg
| | - Tessy Prohaska
- Department of Life Sciences and Medicine, University of Luxembourg, 4367 Belvaux, Luxembourg
| | - María Moscardó García
- Department of Life Sciences and Medicine, University of Luxembourg, 4367 Belvaux, Luxembourg
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 4367 Belvaux, Luxembourg
| | - Thomas Sauter
- Department of Life Sciences and Medicine, University of Luxembourg, 4367 Belvaux, Luxembourg
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