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Hou F, Cui Y, Ye L, Chen F, Wu C, Meng Y, Yuan P, Qiu X, Feng X, Jiang L. Metabolomic insights into idiopathic xerostomia: The central role of caffeine metabolism in salivary biochemistry. Arch Oral Biol 2025; 169:106102. [PMID: 39395317 DOI: 10.1016/j.archoralbio.2024.106102] [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: 08/16/2024] [Revised: 09/23/2024] [Accepted: 09/30/2024] [Indexed: 10/14/2024]
Abstract
OBJECTIVE This study aims to delineate the salivary metabolomic profile of patients with idiopathic xerostomia using untargeted metabolomics techniques, with the goal of addressing the lack of clear diagnostic markers and providing insights into the pathophysiological mechanisms of the condition. DESIGN In this observational, cross-sectional study, saliva samples from 33 patients with idiopathic xerostomia and 34 healthy controls were analyzed using Ultra Performance Liquid Chromatography Quadrupole Time of Flight Mass Spectrometry (UPLC-QTOF MS). Metabolomic profiling was complemented by multivariate statistical analysis to differentiate between affected individuals and controls. RESULTS Metabolomic analysis delineated a pronounced differentiation between patients with idiopathic xerostomia and healthy controls. A total of 195 metabolites displayed significant differential expression, each with a variable importance in projection (VIP) greater than 1 and a P-value less than 0.05. Pathway enrichment analysis, according to the Kyoto Encyclopedia of Genes and Genomes (KEGG), identified 22 metabolites that participated in 18 distinct metabolic pathways. Among these, the caffeine metabolism pathway, characterized by notable alterations in impact values (VIP, P-value, Log2-fold change, Rich factor), emerged as the most significantly disrupted, underscoring its potential role in the pathophysiology of idiopathic xerostomia (P = 0.0000395). CONCLUSIONS The salivary metabolomic profiling revealed distinct alterations in idiopathic xerostomia, with a significant reduction in caffeine metabolism pathways, underscoring potential neuropathic involvement. This study advances our understanding of the metabolic alterations in xerostomia, suggesting that salivary metabolomics may offer viable biomarkers for diagnosing and understanding the etiology of idiopathic xerostomia. Future research should focus on therapeutic targeting of these metabolic disturbances and evaluating their reversibility with treatment.
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Affiliation(s)
- Feifei Hou
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
| | - Yuan Cui
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China; State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shanxi Key Laboratory of Stomatology, Department of Oral Medicine, School of Stomatology, The Fourth Military Medical University, Xi'an, Shanxi, China.
| | - Lu Ye
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
| | - Fangman Chen
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
| | - Chuanji Wu
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
| | - Yang Meng
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
| | - Peiyang Yuan
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
| | - Xuemei Qiu
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
| | - Xiaodong Feng
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
| | - Lu Jiang
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Department of Oral Medicine, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
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Saha M, Qiu L, Han-Hallett Y, Welch CJ, Cooks RG. Simultaneous Quantitation of Multiple Biological Thiols Using Reactive Ionization and Derivatization with Charged Mass Tags. Anal Chem 2024; 96:19414-19421. [PMID: 39570044 DOI: 10.1021/acs.analchem.4c03807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2024]
Abstract
The biologically important thiols (cysteine, homocysteine, N-acetyl cysteine, and glutathione) are key species in redox homeostasis, and there is a clinical need to measure them rapidly, accurately, and simultaneously at low levels in complex biofluids. The solution to the challenge presented here is based on a new derivatizing reagent that combines a thiol-selective unit to optimize the chemical transformation and a precharged pyridinium unit chosen to maximize sensitivity in mass spectrometry. Derivatization is performed simultaneously with ionization ("reactive ionization"), and mass spectrometry is used to record and characterize the thiol reaction products. The method is applicable over the concentration range from 1 μM to 10 mM and is demonstrated for 25 blood serum, 1 plasma, and 3 types of tissue samples. The experiment is characterized by limited sample preparation (<4 min) and short analysis time (<1 min). High precision and accuracy (both better than 8%) are validated using independent HPLC-MS analysis. Cystine-cysteine redox homeostasis can be monitored by introducing an additional reduction step, and the accuracy and precision of these results are also validated by HPLC-MS.
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Affiliation(s)
- Mousumi Saha
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Lingqi Qiu
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Yu Han-Hallett
- Bindley Bioscience Center, Purdue University, West Lafayette, Indiana 47907, United States
| | - Christopher J Welch
- Indiana Consortium for Analytical Science and Engineering (ICASE), Indianapolis, Indiana 46202, United States
| | - R Graham Cooks
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
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Sun Y, Cheng G, Wei D, Luo J, Liu J. Integrating omics data and machine learning techniques for precision detection of oral squamous cell carcinoma: evaluating single biomarkers. Front Immunol 2024; 15:1493377. [PMID: 39691710 PMCID: PMC11649677 DOI: 10.3389/fimmu.2024.1493377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Accepted: 11/18/2024] [Indexed: 12/19/2024] Open
Abstract
Introduction Early detection of oral squamous cell carcinoma (OSCC) is critical for improving clinical outcomes. Precision diagnostics integrating metabolomics and machine learning offer promising non-invasive solutions for identifying tumor-derived biomarkers. Methods We analyzed a multicenter public dataset comprising 61 OSCC patients and 61 healthy controls. Plasma metabolomics data were processed to extract 29 numerical and 47 ratio features. The Extra Trees (ET) algorithm was applied for feature selection, and the TabPFN model was used for classification and prediction. Results The model achieved an area under the curve (AUC) of 93% and an overall accuracy of 76.6% when using top-ranked individual biomarkers. Key metabolic features significantly differentiated OSCC patients from healthy controls, providing a detailed metabolic fingerprint of the disease. Discussion Our findings demonstrate the utility of integrating omics data with advanced machine learning techniques to develop accurate, non-invasive diagnostic tools for OSCC. The study highlights actionable metabolic signatures that have potential applications in personalized therapeutics and early intervention strategies.
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Affiliation(s)
- Yilan Sun
- Department of Oral and Maxillofacial Head and Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
- Shanghai Research Institute of Stomatology, Shanghai, China
| | - Guozhen Cheng
- College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Dongliang Wei
- Department of Oral and Maxillofacial Head and Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
- Shanghai Research Institute of Stomatology, Shanghai, China
| | - Jiacheng Luo
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
| | - Jiannan Liu
- Department of Oral and Maxillofacial Head and Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, China
- National Center for Stomatology, Shanghai, China
- National Clinical Research Center for Oral Diseases, Shanghai, China
- Shanghai Key Laboratory of Stomatology, Shanghai, China
- Shanghai Research Institute of Stomatology, Shanghai, China
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Zhang J, Gao Z, Xiao W, Jin N, Zeng J, Wang F, Jin X, Dong L, Lin J, Gu J, Wang C. A simplified and efficient extracellular vesicle-based proteomics strategy for early diagnosis of colorectal cancer. Chem Sci 2024:d4sc05518g. [PMID: 39421202 PMCID: PMC11480824 DOI: 10.1039/d4sc05518g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Accepted: 10/08/2024] [Indexed: 10/19/2024] Open
Abstract
Colorectal cancer (CRC) is a major cause of cancer-related death worldwide and an effective screening strategy for diagnosis of early-stage CRC is highly desired. Although extracellular vesicles (EVs) are expected to become some of the most promising tools for liquid biopsy of early disease diagnosis, the existing EV-based proteomics methods for practical application in clinical samples are limited by technical challenges in high-throughput isolation and detection of EVs. In the current study, we have developed a simplified and efficient EV-based proteomics strategy for early diagnosis of CRC. DSPE-functionalized beads were specifically designed that enabled direct capture of EVs from plasma samples in 10 minutes with good reproducibility and comprehensive proteome coverage. The single-pot, solid-phase-enhanced sample-preparation (SP3) technology was then combined with data-independent acquisition mass spectrometry (DIA-MS) for in-depth analysis and quantification of EV proteomes. From a cohort with 30 individuals including 11 healthy controls, 8 patients with adenomatous polyp and 11 patients with early-stage CRC, our streamlined workflow reproducibly quantified over 800 proteins from their plasma-derived EV samples, from which dysregulated protein signatures for molecular diagnosis of CRC were revealed. We selected a panel of 10 protein markers to train a machine learning (ML) model, which resulted in accurate prediction of polyp and early-stage CRC in an independent and single-blind validation cohort with excellent diagnostic ability of 89.3% accuracy. Our simplified and efficient clinical proteomic strategy will serve as a valuable tool for fast, accurate, and cost-effective diagnosis of CRC that can be easily extended to other disease samples for discovery of unique EV-based biomarkers.
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Affiliation(s)
- Jin Zhang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University Beijing China
| | - Zhaoya Gao
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital Beijing China
- Center for Precision Diagnosis and Treatment of Colorectal Cancer and Inflammatory Disease, Peking University Health Science Center Beijing China
| | - Weidi Xiao
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University Beijing China
- Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies Chengdu China
| | - Ningxin Jin
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University Beijing China
| | - Jiaming Zeng
- Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies Chengdu China
| | - Fengzhang Wang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University Beijing China
| | - Xiaowei Jin
- Department of Gastroenterology, Peking University Shougang Hospital Beijing China
| | - Liguang Dong
- Center for Health Care Management, Peking University Shougang Hospital Beijing China
| | - Jian Lin
- Department of Pharmacy, NMPA Key Laboratory for Research and Evaluation of Generic Drugs, Peking University Third Hospital Cancer Center, Peking University Third Hospital Beijing China
- Synthetic and Functional Biomolecules Center, Peking University Beijing China
| | - Jin Gu
- Department of Gastrointestinal Surgery, Peking University Shougang Hospital Beijing China
- Center for Precision Diagnosis and Treatment of Colorectal Cancer and Inflammatory Disease, Peking University Health Science Center Beijing China
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Surgery, Peking University Cancer Hospital & Institute Beijing China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University Beijing China
| | - Chu Wang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University Beijing China
- Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies Chengdu China
- Synthetic and Functional Biomolecules Center, Peking University Beijing China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University Beijing China
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Jing F, Zhu L, Zhang J, Zhou X, Bai J, Li X, Zhang H, Li T. Multi-omics reveals lactylation-driven regulatory mechanisms promoting tumor progression in oral squamous cell carcinoma. Genome Biol 2024; 25:272. [PMID: 39407253 PMCID: PMC11476802 DOI: 10.1186/s13059-024-03383-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 08/30/2024] [Indexed: 10/20/2024] Open
Abstract
BACKGROUND Lactylation, a post-translational modification, is increasingly recognized for its role in cancer progression. This study investigates its prevalence and impact in oral squamous cell carcinoma (OSCC). RESULTS Immunohistochemical staining of 81 OSCC cases shows lactylation levels correlate with malignancy grading. Proteomic analyses of six OSCC tissue pairs reveal 2765 lactylation sites on 1033 proteins, highlighting its extensive presence. These modifications influence metabolic processes, molecular synthesis, and transport. CAL27 cells are subjected to cleavage under targets and tagmentation assay for accessible-chromatin with high-throughput sequencing, and transcriptomic sequencing pre- and post-lactate treatment, with 217 genes upregulated due to lactylation. Chromatin immunoprecipitation-quantitative PCR and real-time fluorescence quantitative PCR confirm the regulatory role of lactylation at the K146 site of dexh-box helicase 9 (DHX9), a key factor in OSCC progression. CCK8, colony formation, scratch healing, and Transwell assays demonstrate that lactylation mitigates the inhibitory effect of DHX9 on OSCC, thereby promoting its occurrence and development. CONCLUSIONS Lactylation actively modulates gene expression in OSCC, with significant effects on chromatin structure and cellular processes. This study provides a foundation for developing targeted therapies against OSCC, leveraging the role of lactylation in disease pathogenesis.
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Affiliation(s)
- Fengyang Jing
- Department of Oral Pathology, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, 100081, China
- Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions, Chinese Academy of Medical Sciences (2019RU034), Beijing, 100081, China
| | - Lijing Zhu
- Department of Oral Pathology, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, 100081, China
- Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions, Chinese Academy of Medical Sciences (2019RU034), Beijing, 100081, China
| | - Jianyun Zhang
- Department of Oral Pathology, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, 100081, China
- Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions, Chinese Academy of Medical Sciences (2019RU034), Beijing, 100081, China
| | - Xuan Zhou
- Department of Oral Pathology, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, 100081, China
- Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions, Chinese Academy of Medical Sciences (2019RU034), Beijing, 100081, China
| | - Jiaying Bai
- Department of Oral Pathology, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, 100081, China
| | - Xuefen Li
- Central Laboratory, Peking University School and Hospital of Stomatology, Beijing, 100081, China
| | - Heyu Zhang
- Central Laboratory, Peking University School and Hospital of Stomatology, Beijing, 100081, China.
- Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions, Chinese Academy of Medical Sciences (2019RU034), Beijing, 100081, China.
| | - Tiejun Li
- Department of Oral Pathology, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, 100081, China.
- Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions, Chinese Academy of Medical Sciences (2019RU034), Beijing, 100081, China.
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Garcia PN, de Souza MM, Izidoro MA, Juliano L, Lourenço SV, Camillo CMC. Saliva metabolomics: concepts and applications in oral disorders. Clin Oral Investig 2024; 28:579. [PMID: 39377832 DOI: 10.1007/s00784-024-05990-y] [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: 06/12/2024] [Accepted: 10/02/2024] [Indexed: 10/09/2024]
Abstract
OBJECTIVES The purpose of this review was to present the basic concepts of metabolomics methodology and the use of saliva for diagnostic, prognostic, and predictive strategies. MATERIAL AND METHODS This review followed the focus in: "saliva metabolomics" and "oral diseases". The authors searched studies on PubMed database. The inclusion criteria were original studies and reviews that assessed metabolomics techniques. A descriptive analysis was performed considering the study design, approach system, clinical steps, and tools for the determination of profile or biomarkers metabolites, and the advantages and disadvantages. RESULTS Metabolomic analyses use a combination of analytical instrumentation and informatic tools to provide information on metabolite characteristics. In this review we described different technologies applied and the advantages and limitations of each technique. Furthermore, in the literature search, we retrieved 25 studies that investigated saliva metabolites in oral diseases: 8 studies used targeted analysis and 17 untargeted metabolomics approaches. Most studies included patients with periodontal diseases, oral squamous cell carcinoma, and Sjögren Syndrome. The most frequently reported metabolites were glycine, leucine, phenylalanine, dipeptides, linoleic acid, arachidonic acid, tyrosine, choline, taurine, lactate, valine, and proline. CONCLUSIONS Metabolomics analysis has emerged as a powerful tool for tumor diagnosis and to enhance tumor classification, including salivary gland tumors (SGTs). It also holds promise for developing personalized treatment plans and defining more precise prognostic categories. CLINICAL RELEVANCE Metabolomics is the most functional and comprehensive technique for monitoring and understanding gene functions and identifying the biochemical state of an organism in response to genetic and environmental changes.
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Affiliation(s)
- Pedro Nunes Garcia
- International Research Center, Centro Internacional de Pesquisa, A.C. Camargo Cancer Center, Rua Taguá, 440 - Primeiro andar, São Paulo, 01508-010, Brazil
| | - Milena Monteiro de Souza
- International Research Center, Centro Internacional de Pesquisa, A.C. Camargo Cancer Center, Rua Taguá, 440 - Primeiro andar, São Paulo, 01508-010, Brazil.
| | | | - Luiz Juliano
- Department of Biophysics, Federal University of São Paulo, São Paulo, Brazil
| | | | - Cláudia Malheiros Coutinho Camillo
- International Research Center, Centro Internacional de Pesquisa, A.C. Camargo Cancer Center, Rua Taguá, 440 - Primeiro andar, São Paulo, 01508-010, Brazil
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Belibasakis GN, Seneviratne CJ, Jayasinghe RD, Vo PT, Bostanci N, Choi Y. Bacteriome and mycobiome dysbiosis in oral mucosal dysplasia and oral cancer. Periodontol 2000 2024; 96:95-111. [PMID: 38501658 PMCID: PMC11579824 DOI: 10.1111/prd.12558] [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: 12/12/2023] [Revised: 02/13/2024] [Accepted: 02/17/2024] [Indexed: 03/20/2024]
Abstract
It has long been considered that the oral microbiome is tightly connected to oral health and that dysbiotic changes can be detrimental to the occurrence and progression of dysplastic oral mucosal lesions or oral cancer. Improved understanding of the concepts of microbial dysbiosis together with advances in high-throughput molecular sequencing of these pathologies have charted in greater microbiological detail the nature of their clinical state. This review discusses the bacteriome and mycobiome associated with oral mucosal lesions, oral candidiasis, and oral squamous cell carcinoma, aiming to delineate the information available to date in pursuit of advancing diagnostic and prognostic utilities for oral medicine.
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Affiliation(s)
- Georgios N. Belibasakis
- Division of Oral Diseases, Department of Dental MedicineKarolinska InstitutetStockholmSweden
| | | | - Ruwan Duminda Jayasinghe
- Department of Oral Medicine and Periodontology, Faculty of Dental SciencesUniversity of PeradeniyaPeradeniyaSri Lanka
| | - Phuc Thi‐Duy Vo
- Department of Immunology and Molecular Microbiology, School of DentistrySeoulKorea
| | - Nagihan Bostanci
- Division of Oral Diseases, Department of Dental MedicineKarolinska InstitutetStockholmSweden
| | - Youngnim Choi
- Department of Immunology and Molecular Microbiology, School of DentistrySeoulKorea
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Radaic A, Kamarajan P, Cho A, Wang S, Hung G, Najarzadegan F, Wong DT, Ton‐That H, Wang C, Kapila YL. Biological biomarkers of oral cancer. Periodontol 2000 2024; 96:250-280. [PMID: 38073011 PMCID: PMC11163022 DOI: 10.1111/prd.12542] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/09/2023] [Indexed: 06/12/2024]
Abstract
The oral squamous cell carcinoma (OSCC) 5 year survival rate of 41% has marginally improved in the last few years, with less than a 1% improvement per year from 2005 to 2017, with higher survival rates when detected at early stages. Based on histopathological grading of oral dysplasia, it is estimated that severe dysplasia has a malignant transformation rate of 7%-50%. Despite these numbers, oral dysplasia grading does not reliably predict its clinical behavior. Thus, more accurate markers predicting oral dysplasia progression to cancer would enable better targeting of these lesions for closer follow-up, especially in the early stages of the disease. In this context, molecular biomarkers derived from genetics, proteins, and metabolites play key roles in clinical oncology. These molecular signatures can help predict the likelihood of OSCC development and/or progression and have the potential to detect the disease at an early stage and, support treatment decision-making and predict treatment responsiveness. Also, identifying reliable biomarkers for OSCC detection that can be obtained non-invasively would enhance management of OSCC. This review will discuss biomarkers for OSCC that have emerged from different biological areas, including genomics, transcriptomics, proteomics, metabolomics, immunomics, and microbiomics.
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Affiliation(s)
- Allan Radaic
- School of DentistryUniversity of California, Los Angeles (UCLA)Los AngelesCaliforniaUSA
| | - Pachiyappan Kamarajan
- School of DentistryUniversity of California, Los Angeles (UCLA)Los AngelesCaliforniaUSA
| | - Alex Cho
- School of DentistryUniversity of California, Los Angeles (UCLA)Los AngelesCaliforniaUSA
| | - Sandy Wang
- School of DentistryUniversity of California, Los Angeles (UCLA)Los AngelesCaliforniaUSA
| | - Guo‐Chin Hung
- School of DentistryUniversity of California, Los Angeles (UCLA)Los AngelesCaliforniaUSA
| | | | - David T. Wong
- School of DentistryUniversity of California, Los Angeles (UCLA)Los AngelesCaliforniaUSA
| | - Hung Ton‐That
- School of DentistryUniversity of California, Los Angeles (UCLA)Los AngelesCaliforniaUSA
| | - Cun‐Yu Wang
- School of DentistryUniversity of California, Los Angeles (UCLA)Los AngelesCaliforniaUSA
| | - Yvonne L. Kapila
- School of DentistryUniversity of California, Los Angeles (UCLA)Los AngelesCaliforniaUSA
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Chu S, Chan AKY, Chu CH. Polyamines in Dysbiotic Oral Conditions of Older Adults: A Scoping Review. Int J Mol Sci 2024; 25:10596. [PMID: 39408925 PMCID: PMC11477423 DOI: 10.3390/ijms251910596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Revised: 09/21/2024] [Accepted: 09/25/2024] [Indexed: 10/20/2024] Open
Abstract
Polyamines modulate cellular proliferation and function. Their dysregulation results in inflammatory and oncological repercussions. This study aims to map the current literature and provide an overview of polyamines in dysbiotic oral conditions among older adults. English publications indexed in MEDLINE, Scopus, and Web of Science from January 2000 to May 2024 were screened. Eligibility criteria included clinical and laboratory studies using samples from adults aged 65 or above. This scoping review identified 2725 publications and included 19 publications. Ten studies detected that older adults with oral carcinoma had increased levels of polyamines such as spermidine in saliva and tumour-affected tissues. Eight studies reported older adults suffering from periodontal infection had increased levels of polyamines such as putrescine in saliva, gingival crevicular fluid, and biofilm from the gingival crevice. Two studies showed polyamine levels could reflect the success of periodontal therapy. Three studies found older adults with halitosis had increased levels of polyamines such as cadaverine in saliva and tongue biofilm. Polyamines were suggested as biomarkers for these oral conditions. In conclusion, certain polyamine levels are elevated in older adults with oral cancer, periodontal infections, and halitosis. Polyamines may be used as a simple and non-invasive tool to detect dysbiotic oral conditions and monitor treatment progress in older adults (Open Science Framework registration).
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Affiliation(s)
| | | | - Chun Hung Chu
- Faculty of Dentistry, The University of Hong Kong, Hong Kong 999077, China
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Luo G, Wang S, Lu W, Ju W, Li J, Tan X, Zhao H, Han W, Yang X. Application of metabolomics in oral squamous cell carcinoma. Oral Dis 2024; 30:3719-3731. [PMID: 38376209 DOI: 10.1111/odi.14895] [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: 11/14/2023] [Revised: 01/17/2024] [Accepted: 02/02/2024] [Indexed: 02/21/2024]
Abstract
BACKGROUND Oral squamous cell carcinoma (OSCC) is a prevalent malignancy affecting the head and neck region. The prognosis for OSCC patients remains unfavorable due to the absence of precise and efficient early diagnostic techniques. Metabolomics offers a promising approach for identifying distinct metabolites, thereby facilitating early detection and treatment of OSCC. OBJECTIVE This review aims to provide a comprehensive overview of recent advancements in metabolic marker identification for early OSCC diagnosis. Additionally, the clinical significance and potential applications of metabolic markers for the management of OSCC are discussed. RESULTS This review summarizes metabolic changes during the occurrence and development of oral squamous cell carcinoma and reviews prospects for the clinical application of characteristic, differential metabolites in saliva, serum, and OSCC tissue. In this review, the application of metabolomic technology in OSCC research was summarized, and future research directions were proposed. CONCLUSION Metabolomics, detection technology that is the closest to phenotype, can efficiently identify differential metabolites. Combined with statistical data analyses and artificial intelligence technology, it can rapidly screen characteristic biomarkers for early diagnosis, treatment, and prognosis evaluations.
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Affiliation(s)
- Guanfa Luo
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
- Department of Burn and Plastic Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Shuai Wang
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - Wen Lu
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Wei Ju
- Department of Burn and Plastic Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Jianhong Li
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Xiao Tan
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Huiting Zhao
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Wei Han
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - Xihu Yang
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
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11
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Jagadeesan D, Sathasivam KV, Fuloria NK, Balakrishnan V, Khor GH, Ravichandran M, Solyappan M, Fuloria S, Gupta G, Ahlawat A, Yadav G, Kaur P, Husseen B. Comprehensive insights into oral squamous cell carcinoma: Diagnosis, pathogenesis, and therapeutic advances. Pathol Res Pract 2024; 261:155489. [PMID: 39111016 DOI: 10.1016/j.prp.2024.155489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 07/18/2024] [Accepted: 07/24/2024] [Indexed: 08/18/2024]
Abstract
Oral squamous cell carcinoma (OSCC) is considered the most common type of head and neck squamous cell carcinoma (HNSCC) as it holds 90 % of HNSCC cases that arise from multiple locations in the oral cavity. The last three decades witnessed little progress in the diagnosis and treatment of OSCC the aggressive tumor. However, in-depth knowledge about OSCC's pathogenesis, staging & grading, hallmarks, and causative factors is a prime requirement in advanced diagnosis and treatment for OSCC patients. Therefore present review was intended to comprehend the OSCCs' prevalence, staging & grading, molecular pathogenesis including premalignant stages, various hallmarks, etiology, diagnostic methods, treatment (including FDA-approved drugs with the mechanism of action and side effects), and theranostic agents. The current review updates that for a better understanding of OSCC progress tumor-promoting inflammation, sustained proliferative signaling, and growth-suppressive signals/apoptosis capacity evasion are the three most important hallmarks to be considered. This review suggests that among all the etiology factors the consumption of tobacco is the major contributor to the high incidence rate of OSCC. In OSCC diagnosis biopsy is considered the gold standard, however, toluidine blue staining is the easiest and non-invasive method with high accuracy. Although there are various therapeutic agents available for cancer treatment, however, a few only are approved by the FDA specifically for OSCC treatment. The present review recommends that among all available OSCC treatments, the antibody-based CAR-NK is a promising therapeutic approach for future cancer treatment. Presently review also suggests that theranostics have boosted the advancement of cancer diagnosis and treatment, however, additional work is required to refine the role of theranostics in combination with different modalities in cancer treatment.
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Affiliation(s)
- Dharshini Jagadeesan
- Department of Biotechnology, Faculty of Applied Sciences, AIMST University, Bedong, Kedah, Malaysia
| | - Kathiresan V Sathasivam
- Department of Biotechnology, Faculty of Applied Sciences, AIMST University, Bedong, Kedah, Malaysia
| | | | - Venugopal Balakrishnan
- Institute for Research in Molecular Medicine, Universiti Sains Malaysia,11800 USM, Pulau Pinang, Malaysia
| | - Goot Heah Khor
- Centre of Preclinical Science Studies, Faculty of Dentistry, Universiti Teknologi MARA, Sungai Buloh Campus, Jalan Hospital, SungaiBuloh, Selangor 47000, Malaysia; Oral and Maxillofacial Cancer Research Group, Faculty of Dentistry, Universiti Teknologi MARA, Sungai Buloh Campus, Jalan Hospital, Sungai Buloh, Selangor 47000, Malaysia
| | - Manickam Ravichandran
- Department of Biotechnology, Faculty of Applied Sciences, AIMST University, Bedong, Kedah, Malaysia
| | - Maheswaran Solyappan
- Department of Biotechnology, Faculty of Applied Sciences, AIMST University, Bedong, Kedah, Malaysia
| | | | - Gaurav Gupta
- Centre for Research Impact & Outcome-Chitkara College of Pharmacy, Chitkara University, Punjab, India; Centre of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates
| | - Abhilasha Ahlawat
- Department of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana, India
| | - Geeta Yadav
- Chandigarh Pharmacy College, Chandigarh Group of Colleges-Jhanjeri, Mohali, Punjab 140307, India
| | - Pandeep Kaur
- National Institute of Medical Sciences, NIMS University Rajasthan, Jaipur, India
| | - Beneen Husseen
- Medical Laboratory Technique College, the Islamic University, Najaf, Iraq; Medical Laboratory Technique College, the Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq
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12
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Antonelli R, Setti G, Treister NS, Pertinhez TA, Ferrari E, Gallo M, Bologna-Molina R, Vescovi P, Meleti M. Salivary metabolomics in oral cancer: A systematic review. ORAL ONCOLOGY REPORTS 2024; 11:100657. [DOI: 10.1016/j.oor.2024.100657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/06/2024]
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13
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Liew YX, Kadir K, Phan CW, Leong KH, Kallarakkal TG, Tilakaratne WM. Salivary biomarkers: Effective diagnostic tool for oral leukoplakia and oral squamous cell carcinoma. Oral Dis 2024; 30:3591-3599. [PMID: 38098264 DOI: 10.1111/odi.14835] [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: 06/10/2023] [Revised: 10/25/2023] [Accepted: 11/26/2023] [Indexed: 09/03/2024]
Abstract
OBJECTIVE To identify potential salivary biomarkers for the diagnosis and monitoring of disease progression in oral squamous cell carcinoma and oral leukoplakia. MATERIALS AND METHODS An advance search from PubMed and Hindawi was performed with keywords; oral leukoplakia/oral squamous cell carcinoma, salivary biomarker and diagnosis/prognosis. An additional search of articles was done through a manual search from the Google Scholar database. RESULTS Twenty studies involving salivary biomarkers as diagnostic tools for oral squamous cell carcinoma and/or oral leukoplakia were identified. A narrative review was carried out. CONCLUSION Single or multiple salivary biomarkers reported by most studies have shown great potential as diagnostic tools for oral squamous cell carcinoma and oral leukoplakia. However, the validation of sensitivity and specificity should be carried out to ensure the accuracy of the biomarkers. Furthermore, a standardised method for saliva collection should be established to prevent variability in the expression of biomarkers.
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Affiliation(s)
- Yoon Xuan Liew
- Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
- Department of Pharmaceutical Life Sciences, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur, Malaysia
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur, Malaysia
- Oral Cancer Research and Coordinating Centre (OCRCC), Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Kathreena Kadir
- Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
- Oral Cancer Research and Coordinating Centre (OCRCC), Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Chia Wei Phan
- Department of Pharmaceutical Life Sciences, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Kok Hoong Leong
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Thomas George Kallarakkal
- Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
- Oral Cancer Research and Coordinating Centre (OCRCC), Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Wanninayake Mudiyanselage Tilakaratne
- Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
- Oral Cancer Research and Coordinating Centre (OCRCC), Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
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14
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Gupta I, Badrzadeh F, Tsentalovich Y, Gaykalova DA. Connecting the dots: investigating the link between environmental, genetic, and epigenetic influences in metabolomic alterations in oral squamous cell carcinoma. J Exp Clin Cancer Res 2024; 43:239. [PMID: 39169426 PMCID: PMC11337877 DOI: 10.1186/s13046-024-03141-5] [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: 05/20/2024] [Accepted: 07/28/2024] [Indexed: 08/23/2024] Open
Abstract
Oral squamous cell carcinoma (OSCC) accounts for around 90% of all oral cancers and is the eighth most common cancer worldwide. Despite progress in managing OSCC, the overall prognosis remains poor, with a survival rate of around 50-60%, largely due to tumor size and recurrence. The challenges of late-stage diagnosis and limitations in current methods emphasize the urgent need for less invasive techniques to enable early detection and treatment, crucial for improving outcomes in this aggressive form of oral cancer. Research is currently aimed at unraveling tumor-specific metabolite profiles to identify candidate biomarkers as well as discover underlying pathways involved in the onset and progression of cancer that could be used as new targets for diagnostic and therapeutic purposes. Metabolomics is an advanced technological approach to identify metabolites in different sample types (biological fluids and tissues). Since OSCC promotes metabolic reprogramming influenced by a combination of genetic predisposition and environmental factors, including tobacco and alcohol consumption, and viral infections, the identification of distinct metabolites through screening may aid in the diagnosis of this condition. Moreover, studies have shown the use of metabolites during the catalysis of epigenetic modification, indicating a link between epigenetics and metabolism. In this review, we will focus on the link between environmental, genetic, and epigenetic influences in metabolomic alterations in OSCC. In addition, we will discuss therapeutic targets of tumor metabolism, which may prevent oral tumor growth, metastasis, and drug resistance.
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Affiliation(s)
- Ishita Gupta
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Otorhinolaryngology-Head and Neck Surgery, Marlene & Stewart Greenebaum Comprehensive Cancer Center, University of Maryland Medical Center, Baltimore, MD, USA
| | - Fariba Badrzadeh
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Otorhinolaryngology-Head and Neck Surgery, Marlene & Stewart Greenebaum Comprehensive Cancer Center, University of Maryland Medical Center, Baltimore, MD, USA
| | - Yuri Tsentalovich
- International tomography center CB RAS, Institutskaya str. 3a, Novosibirsk, 630090, Russia
| | - Daria A Gaykalova
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
- Department of Otorhinolaryngology-Head and Neck Surgery, Marlene & Stewart Greenebaum Comprehensive Cancer Center, University of Maryland Medical Center, Baltimore, MD, USA.
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA.
- Institute for Genome Sciences, 670 West Baltimore Street, Baltimore, MD, 21201, USA.
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15
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Panneerselvam K, Rajkumar K, Kumar S, Mohan AM, Arockiam AS, Sugimoto M. Salivary metabolomics in early detection of oral squamous cell carcinoma - a meta-analysis. Expert Rev Proteomics 2024; 21:317-332. [PMID: 39166387 DOI: 10.1080/14789450.2024.2395398] [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: 05/07/2024] [Accepted: 08/14/2024] [Indexed: 08/22/2024]
Abstract
INTRODUCTION Oral squamous cell carcinoma (OSCC) represents the most prevalent form of oral cancer. Potentially malignant disorders of oral mucosa exhibit an elevated propensity for malignant progression. A substantial proportion of cases are discerned during advanced stages, significantly impacting overall survival. This investigation aims to ascertain salivary metabolites with potential utility in the early detection of OSCC. METHODS A search encompassing PubMed, EMBASE, Scopus, Ovid, Science Direct, and Web of Science databases was conducted to identify eligible articles. The search strategy employed precise terms. The quality assessment of the included studies was executed using the QUADAS 2 ROB tool. This was registered with PROSPERO CRD42021278217. RESULTS Upon removing duplicate articles and publications that didn't satisfy the inclusion criteria, seven articles were included in the current study. The Random Effects Maximum Likelihood (REML) model adopted for quantitative synthesis identified Nacetyl glucosamine as the sole metabolite in two studies included in this metaanalysis. The pathways significantly influenced by these identified metabolites were delineated. CONCLUSION This study highlights Nacetyl glucosamine as a distinctive metabolite with the potential to serve as an early diagnostic marker for OSCC. Nevertheless, further research is warranted to validate its clinical utility.
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Affiliation(s)
- Karthika Panneerselvam
- Department of Oral Pathology & Microbiology, Karpaga Vinayaga Institute of Dental Sciences, Madurantagam, Tamil Nadu, India
| | - K Rajkumar
- Department of Oral & Maxillofacial Pathology, SRM Dental College and Hospital, Chennai, Tamil Nadu, India
| | - Sathish Kumar
- Department of Oral Pathology & Microbiology, Karpaga Vinayaga Institute of Dental Sciences, Madurantagam, Tamil Nadu, India
| | - A Mathan Mohan
- Department of Oral & Maxillofacial Surgery, Karpaga Vinayaga Institute of Dental Sciences, Madurantagam, Tamil Nadu, India
| | - A Selva Arockiam
- Private Practioner, Mahalanobis Statistical Solutions, Virudhachalam, Tamil Nadu
| | - Masahiro Sugimoto
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan
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16
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Ploypetch S, Luo X, Zhao S, Roytrakul S, Li L, Suriyaphol G. Salivary metabolomic identification of biomarker candidates for oral melanoma and oral squamous cell carcinoma in dogs. J Vet Intern Med 2024; 38:2293-2304. [PMID: 38703129 PMCID: PMC11256132 DOI: 10.1111/jvim.17092] [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: 12/13/2023] [Accepted: 04/18/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Oral melanoma (OM) and oral squamous cell carcinoma (OSCC) are frequently diagnosed in dogs, presenting a challenge in distinguishing them from benign oral tumors (BN). Salivary metabolomic biomarkers offer a practical solution because of saliva's direct contact with tumors and the noninvasive nature of collection. OBJECTIVE Assess the diversity and abundance of the salivary metabolome in dogs with BN, OM, and OSCC using amine/phenol submetabolome analysis and high-performance chemical isotope labeling liquid chromatography-mass spectrometry (CIL LC-MS). ANIMALS Study included 11 BN, 24 OM, 10 OSCC, and 20 healthy control dogs. METHODS Case-control cross-sectional study was conducted to assess salivary submetabolic profiles in dogs with BN, OM, and OSCC and healthy dogs. Samples were labeled with 12C-dansyl chloride and analyzed using CIL LC-MS targeted to amine- and phenol-containing metabolites for amine/phenol submetabolome analysis. RESULTS Distinct clusters and significant differences in metabolite concentrations were observed among the oral cancer, BN, and control groups. A total of 154 and 66 metabolites showed significantly altered concentrations, particularly in OM and OSCC, respectively, when compared with BN (Padj < .05). Potential metabolic biomarkers were identified for each cancer, including decreased concentrations of seryl-arginine and sarcosine in OSCC. Moreover, high-confidence putative metabolites were identified, including an increase in tryptophyl-threonine and a decrease in 1,2-dihydroxynapthalene-6-sulfonic acid and hydroxyprolyl-hydroxyproline for OM. CONCLUSIONS AND CLINICAL IMPORTANCE We identified high coverage of the amine/phenol submetabolome, including seryl-arginine, and sarcosine, in OSCC. Our findings emphasize the potential of these biomarkers for distinguishing between oral OSCC and BN in dogs.
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Affiliation(s)
- Sekkarin Ploypetch
- Department of Clinical Sciences and Public Health, Faculty of Veterinary ScienceMahidol UniversityNakhon PathomThailand
| | - Xian Luo
- The Metabolomics Innovation CentreUniversity of AlbertaEdmontonAlbertaCanada
| | - Shuang Zhao
- The Metabolomics Innovation CentreUniversity of AlbertaEdmontonAlbertaCanada
| | - Sittiruk Roytrakul
- Functional Ingredients and Food Innovation Research Group, National Center for Genetic Engineering and BiotechnologyNational Science and Technology Development AgencyPathum ThaniThailand
| | - Liang Li
- The Metabolomics Innovation CentreUniversity of AlbertaEdmontonAlbertaCanada
- Department of ChemistryUniversity of AlbertaEdmontonAlbertaCanada
| | - Gunnaporn Suriyaphol
- Biochemistry Unit, Department of Physiology, Faculty of Veterinary ScienceChulalongkorn UniversityBangkokThailand
- Center of Excellence for Companion Animal Cancer, Faculty of Veterinary ScienceChulalongkorn UniversityBangkokThailand
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17
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Mojumdar A, B S U, Packirisamy G. A simple and effective method for smartphone-based detection of polyamines in oral cancer. Biomed Mater 2024; 19:045044. [PMID: 38871001 DOI: 10.1088/1748-605x/ad581a] [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: 09/17/2023] [Accepted: 06/13/2024] [Indexed: 06/15/2024]
Abstract
Oral cancer accounts for 50%-70% of all cancer-related deaths in India and ranks sixth among the most frequent cancers globally. Roughly 90% of oral malignancies are histologically arise from squamous cells and are therefore called oral squamous cell carcinoma. Organic polycations known as biogenic polyamines, for example, putrescine (Put), spermidine (Spd), and spermine (Spm), are vital for cell proliferation, including gene expression control, regulation of endonuclease-mediated fragmentation of DNA, and DNA damage inhibition. Higher Spm and Spd levels have been identified as cancer biomarkers for detecting tumour development in various cancers. The current study utilises tannic acid, a polyphenolic compound, as a reducing and capping agent to fabricate AuNPs via a one-step microwave-assisted synthesis. The fabricated TA@AuNPs were utilised as a nanoprobe for colourimetric sensing of polyamines in PBS. When TA@AuNPs are added to the polyamine, the amine groups in polyamines interact with the phenolic groups of TA@AuNPs via hydrogen bonding or electrostatic interactions. These interactions cause the aggregation of TA@AuNPs, resulting in a red shift of the Surface Plasmon Resonance band of TA@AuNPs from 530 nm to 560 nm. The nanoprobe was found to be highly specific for Spm at low concentrations. TA@AuNPs were able to detect Spm successfully in artificial saliva samples. On recording the RGB values of the sensing process using a smartphone app, it was found that as the nanoparticles aggregated due to the presence of Spm, the intensity of theR-value decreased, indicating the aggregation of TA@AuNPs due to interaction with the polyamine.
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Affiliation(s)
- Asmita Mojumdar
- Centre for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
| | - Unnikrishnan B S
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
| | - Gopinath Packirisamy
- Centre for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
- Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
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18
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Hua W, Zhang W, Brown H, Wu J, Fang X, Shahi M, Chen R, Zhang H, Jiao B, Wang N, Xu H, Fu M, Wang X, Zhang J, Zhang X, Wang Q, Zhu W, Ye D, Garcia DM, Chaichana K, Cooks RG, Ouyang Z, Mao Y, Quinones-Hinojosa A. Rapid detection of IDH mutations in gliomas by intraoperative mass spectrometry. Proc Natl Acad Sci U S A 2024; 121:e2318843121. [PMID: 38805277 PMCID: PMC11161794 DOI: 10.1073/pnas.2318843121] [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: 10/29/2023] [Accepted: 04/25/2024] [Indexed: 05/30/2024] Open
Abstract
The development and performance of two mass spectrometry (MS) workflows for the intraoperative diagnosis of isocitrate dehydrogenase (IDH) mutations in glioma is implemented by independent teams at Mayo Clinic, Jacksonville, and Huashan Hospital, Shanghai. The infiltrative nature of gliomas makes rapid diagnosis necessary to guide the extent of surgical resection of central nervous system (CNS) tumors. The combination of tissue biopsy and MS analysis used here satisfies this requirement. The key feature of both described methods is the use of tandem MS to measure the oncometabolite 2-hydroxyglutarate (2HG) relative to endogenous glutamate (Glu) to characterize the presence of mutant tumor. The experiments i) provide IDH mutation status for individual patients and ii) demonstrate a strong correlation of 2HG signals with tumor infiltration. The measured ratio of 2HG to Glu correlates with IDH-mutant (IDH-mut) glioma (P < 0.0001) in the tumor core data of both teams. Despite using different ionization methods and different mass spectrometers, comparable performance in determining IDH mutations from core tumor biopsies was achieved with sensitivities, specificities, and accuracies all at 100%. None of the 31 patients at Mayo Clinic or the 74 patients at Huashan Hospital were misclassified when analyzing tumor core biopsies. Robustness of the methodology was evaluated by postoperative re-examination of samples. Both teams noted the presence of high concentrations of 2HG at surgical margins, supporting future use of intraoperative MS to monitor for clean surgical margins. The power of MS diagnostics is shown in resolving contradictory clinical features, e.g., in distinguishing gliosis from IDH-mut glioma.
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Affiliation(s)
- Wei Hua
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai200040, China
- National Center for Neurological Disorders, Shanghai200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai200040, China
- Neurosurgical Institute of Fudan University, Shanghai200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai200040, China
| | - Wenpeng Zhang
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing100084, China
| | - Hannah Brown
- Department of Chemistry, Purdue University, West Lafayette, IN47907
| | - Junhan Wu
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing100084, China
| | - Xinqi Fang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai200040, China
- National Center for Neurological Disorders, Shanghai200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai200040, China
- Neurosurgical Institute of Fudan University, Shanghai200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai200040, China
| | - Mahdiyeh Shahi
- Department of Chemistry, Purdue University, West Lafayette, IN47907
| | - Rong Chen
- Department of Chemistry, Purdue University, West Lafayette, IN47907
| | - Haoyue Zhang
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai200040, China
| | - Bin Jiao
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai200040, China
| | - Nan Wang
- PurSpecTechnologies, Beijing100084, China
| | - Hao Xu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai200040, China
- National Center for Neurological Disorders, Shanghai200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai200040, China
- Neurosurgical Institute of Fudan University, Shanghai200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai200040, China
| | - Minjie Fu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai200040, China
- National Center for Neurological Disorders, Shanghai200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai200040, China
- Neurosurgical Institute of Fudan University, Shanghai200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai200040, China
| | - Xiaowen Wang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai200040, China
- National Center for Neurological Disorders, Shanghai200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai200040, China
- Neurosurgical Institute of Fudan University, Shanghai200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai200040, China
| | - Jinsen Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai200040, China
- National Center for Neurological Disorders, Shanghai200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai200040, China
- Neurosurgical Institute of Fudan University, Shanghai200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai200040, China
| | - Xin Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai200040, China
- National Center for Neurological Disorders, Shanghai200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai200040, China
- Neurosurgical Institute of Fudan University, Shanghai200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai200040, China
| | - Qijun Wang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai200040, China
- National Center for Neurological Disorders, Shanghai200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai200040, China
- Neurosurgical Institute of Fudan University, Shanghai200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai200040, China
| | - Wei Zhu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai200040, China
- National Center for Neurological Disorders, Shanghai200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai200040, China
- Neurosurgical Institute of Fudan University, Shanghai200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai200040, China
| | - Dan Ye
- The Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai200232, China
| | | | | | - R. Graham Cooks
- Department of Chemistry, Purdue University, West Lafayette, IN47907
| | - Zheng Ouyang
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing100084, China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai200040, China
- National Center for Neurological Disorders, Shanghai200040, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai200040, China
- Neurosurgical Institute of Fudan University, Shanghai200040, China
- Shanghai Clinical Medical Center of Neurosurgery, Shanghai200040, China
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19
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Zhang X, Shi J, Jin S, Wang R, Li M, Zhang Z, Yang X, Ma H. Metabolic landscape of head and neck squamous cell carcinoma informs a novel kynurenine/Siglec-15 axis in immune escape. Cancer Commun (Lond) 2024; 44:670-694. [PMID: 38734931 PMCID: PMC11194450 DOI: 10.1002/cac2.12545] [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: 08/08/2023] [Revised: 03/30/2024] [Accepted: 04/18/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Metabolic reprograming and immune escape are two hallmarks of cancer. However, how metabolic disorders drive immune escape in head and neck squamous cell carcinoma (HNSCC) remains unclear. Therefore, the aim of the present study was to investigate the metabolic landscape of HNSCC and its mechanism of driving immune escape. METHODS Analysis of paired tumor tissues and adjacent normal tissues from 69 HNSCC patients was performed using liquid/gas chromatography-mass spectrometry and RNA-sequencing. The tumor-promoting function of kynurenine (Kyn) was explored in vitro and in vivo. The downstream target of Kyn was investigated in CD8+ T cells. The regulation of CD8+ T cells was investigated after Siglec-15 overexpression in vivo. An engineering nanoparticle was established to deliver Siglec-15 small interfering RNA (siS15), and its association with immunotherapy response were investigated. The association between Siglec-15 and CD8+ programmed cell death 1 (PD-1)+ T cells was analyzed in a HNSCC patient cohort. RESULTS A total of 178 metabolites showed significant dysregulation in HNSCC, including carbohydrates, lipids and lipid-like molecules, and amino acids. Among these, amino acid metabolism was the most significantly altered, especially Kyn, which promoted tumor proliferation and metastasis. In addition, most immune checkpoint molecules were upregulated in Kyn-high patients based on RNA-sequencing. Furthermore, tumor-derived Kyn was transferred into CD8+ T cells and induced T cell functional exhaustion, and blocking Kyn transporters restored its killing activity. Accroding to the results, mechanistically, Kyn transcriptionally regulated the expression of Siglec-15 via aryl hydrocarbon receptor (AhR), and overexpression of Siglec-15 promoted immune escape by suppressing T cell infiltration and activation. Targeting AhR in vivo reduced Kyn-mediated Siglec-15 expression and promoted intratumoral CD8+ T cell infiltration and killing capacity. Finally, a NH2-modified mesoporous silica nanoparticle was designed to deliver siS15, which restored CD8+ T cell function status and enhanced anti-PD-1 efficacy in tumor-bearing immunocompetent mice. Clinically, Siglec-15 was positively correlated with AhR expression and CD8+PD-1+ T cell infiltration in HNSCC tissues. CONCLUSIONS The findings describe the metabolic landscape of HNSCC comprehensively and reveal that the Kyn/Siglec-15 axis may be a novel potential immunometabolism mechanism, providing a promising therapeutic strategy for cancers.
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Affiliation(s)
- Xin‐Yu Zhang
- Department of Oral Maxillofacial‐Head and Neck OncologyShanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
- National Clinical Research Center for Oral DiseasesShanghaiP. R. China
- Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of StomatologyShanghaiP. R. China
| | - Jian‐Bo Shi
- Department of Oral Maxillofacial‐Head and Neck OncologyShanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
- National Clinical Research Center for Oral DiseasesShanghaiP. R. China
- Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of StomatologyShanghaiP. R. China
| | - Shu‐Fang Jin
- National Clinical Research Center for Oral DiseasesShanghaiP. R. China
- Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of StomatologyShanghaiP. R. China
- Department of Second Dental CenterShanghai Ninth People's HospitalShanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong UniversityShanghaiP. R. China
| | - Rui‐Jie Wang
- Department of Oral Maxillofacial‐Head and Neck OncologyShanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
- National Clinical Research Center for Oral DiseasesShanghaiP. R. China
- Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of StomatologyShanghaiP. R. China
| | - Ming‐Yu Li
- Department of Oral Maxillofacial‐Head and Neck OncologyShanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
- National Clinical Research Center for Oral DiseasesShanghaiP. R. China
- Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of StomatologyShanghaiP. R. China
| | - Zhi‐Yuan Zhang
- Department of Oral Maxillofacial‐Head and Neck OncologyShanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
- National Clinical Research Center for Oral DiseasesShanghaiP. R. China
- Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of StomatologyShanghaiP. R. China
| | - Xi Yang
- Department of Oral Maxillofacial‐Head and Neck OncologyShanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
- National Clinical Research Center for Oral DiseasesShanghaiP. R. China
- Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of StomatologyShanghaiP. R. China
| | - Hai‐Long Ma
- Department of Oral Maxillofacial‐Head and Neck OncologyShanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of MedicineShanghaiP. R. China
- National Clinical Research Center for Oral DiseasesShanghaiP. R. China
- Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of StomatologyShanghaiP. R. China
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20
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Kashyap B, Kullaa A. Salivary Metabolites Produced by Oral Microbes in Oral Diseases and Oral Squamous Cell Carcinoma: A Review. Metabolites 2024; 14:277. [PMID: 38786754 PMCID: PMC11122927 DOI: 10.3390/metabo14050277] [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: 03/06/2024] [Revised: 04/01/2024] [Accepted: 05/08/2024] [Indexed: 05/25/2024] Open
Abstract
In recent years, salivary metabolome studies have provided new biological information and salivary biomarkers to diagnose different diseases at early stages. The saliva in the oral cavity is influenced by many factors that are reflected in the salivary metabolite profile. Oral microbes can alter the salivary metabolite profile and may express oral inflammation or oral diseases. The released microbial metabolites in the saliva represent the altered biochemical pathways in the oral cavity. This review highlights the oral microbial profile and microbial metabolites released in saliva and its use as a diagnostic biofluid for different oral diseases. The importance of salivary metabolites produced by oral microbes as risk factors for oral diseases and their possible relationship in oral carcinogenesis is discussed.
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Affiliation(s)
| | - Arja Kullaa
- Institute of Dentistry, University of Eastern Finland, 70211 Kuopio, Finland;
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21
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Wang S, Li K, Zhao T, Sun Y, Zeng T, Wu Y, Ding L, Huang X, Celentano A, Yang X, Hu Q, Ni Y. Oral tongue squamous cell carcinoma diagnosis from tissue metabolic profiling. Oral Dis 2024; 30:2158-2165. [PMID: 37486619 DOI: 10.1111/odi.14696] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 06/15/2023] [Accepted: 07/13/2023] [Indexed: 07/25/2023]
Abstract
OBJECTIVE Disease metabolomes have been studied for identifying diagnostic and predictive biomarkers of pathology. Oral tongue squamous cell carcinoma (OTSCC) is one of the most prevalent subtypes of head and neck squamous cell carcinoma, yet the profile and diagnostic value of its tissue metabolite are unclear. SUBJECTS AND METHODS Tumor tissue samples and matched normal mucosal tissue samples were collected from 40 OTSCC patients. Untargeted metabolic analysis by liquid chromatography-mass spectrometry/mass spectrometry, in positive and negative ion modes, was used to identify dysregulated metabolites in OTSCC. Further, utilizing LASSO regression and receiver operating characteristic analyses, biomarker metabolites were selected and validated, and a diagnostic model was established. RESULTS One hundred and ninety metabolites were detected. The OTSCC had a total of 89 dysregulated metabolites, of which 73 were elevated. A diagnostic panel of nine metabolites was subsequently created that could accurately identify OTSCC with 100% sensitivity of 100%, 100% specificity and an AUC of 1.00. CONCLUSIONS This study identified distinct metabolic characteristics of OTSCC and established a diagnostic model. Our research also contributes to the investigation of the pathogenesis of OTSCC.
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Affiliation(s)
- Shuai Wang
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Ke Li
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Tong Zhao
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Yawei Sun
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Tao Zeng
- State Key Lab of Pharmaceutical Biotechnology, College of Life Sciences, Nanjing University, Nanjing, Jiangsu, China
| | - Yan Wu
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Department of Oral Pathology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Liang Ding
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Xiaofeng Huang
- Department of Oral Pathology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Antonio Celentano
- Melbourne Dental School, The University of Melbourne, Carlton, Victoria, Australia
| | - Xihu Yang
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Qingang Hu
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Yanhong Ni
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
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22
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Cai L, Zhu H, Mou Q, Wong PY, Lan L, Ng CWK, Lei P, Cheung MK, Wang D, Wong EWY, Lau EHL, Yeung ZWC, Lai R, Meehan K, Fung S, Chan KCA, Lui VWY, Cheng ASL, Yu J, Chan PKS, Chan JYK, Chen Z. Integrative analysis reveals associations between oral microbiota dysbiosis and host genetic and epigenetic aberrations in oral cavity squamous cell carcinoma. NPJ Biofilms Microbiomes 2024; 10:39. [PMID: 38589501 PMCID: PMC11001959 DOI: 10.1038/s41522-024-00511-x] [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: 04/09/2023] [Accepted: 03/27/2024] [Indexed: 04/10/2024] Open
Abstract
Dysbiosis of the human oral microbiota has been reported to be associated with oral cavity squamous cell carcinoma (OSCC) while the host-microbiota interactions with respect to the potential impact of pathogenic bacteria on host genomic and epigenomic abnormalities remain poorly studied. In this study, the mucosal bacterial community, host genome-wide transcriptome and DNA CpG methylation were simultaneously profiled in tumors and their adjacent normal tissues of OSCC patients. Significant enrichment in the relative abundance of seven bacteria species (Fusobacterium nucleatum, Treponema medium, Peptostreptococcus stomatis, Gemella morbillorum, Catonella morbi, Peptoanaerobacter yurli and Peptococcus simiae) were observed in OSCC tumor microenvironment. These tumor-enriched bacteria formed 254 positive correlations with 206 up-regulated host genes, mainly involving signaling pathways related to cell adhesion, migration and proliferation. Integrative analysis of bacteria-transcriptome and bacteria-methylation correlations identified at least 20 dysregulated host genes with inverted CpG methylation in their promoter regions associated with enrichment of bacterial pathogens, implying a potential of pathogenic bacteria to regulate gene expression, in part, through epigenetic alterations. An in vitro model further confirmed that Fusobacterium nucleatum might contribute to cellular invasion via crosstalk with E-cadherin/β-catenin signaling, TNFα/NF-κB pathway and extracellular matrix remodeling by up-regulating SNAI2 gene, a key transcription factor of epithelial-mesenchymal transition (EMT). Our work using multi-omics approaches explored complex host-microbiota interactions and provided important insights into genetic and functional basis in OSCC tumorigenesis, which may serve as a precursor for hypothesis-driven study to better understand the causational relationship of pathogenic bacteria in this deadly cancer.
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Affiliation(s)
- Liuyang Cai
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Hengyan Zhu
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Qianqian Mou
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Po Yee Wong
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Linlin Lan
- Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Cherrie W K Ng
- Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Pu Lei
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Man Kit Cheung
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Daijuanru Wang
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Eddy W Y Wong
- Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Eric H L Lau
- Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Zenon W C Yeung
- Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ronald Lai
- Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Katie Meehan
- Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Sherwood Fung
- Department of Chemical Pathology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Kwan Chee A Chan
- Department of Chemical Pathology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Vivian W Y Lui
- Georgia Cancer Center, Augusta, GA, 30912, USA
- Department of Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA
| | - Alfred S L Cheng
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jun Yu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Paul K S Chan
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jason Y K Chan
- Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Zigui Chen
- Department of Microbiology, The Chinese University of Hong Kong, Hong Kong SAR, China.
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23
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Fang L, Zhai Q, Zhang H, Ji P, Chen C, Zhang H. Comparisons of different extraction methods and solvents for saliva samples. Metabolomics 2024; 20:38. [PMID: 38460055 DOI: 10.1007/s11306-024-02105-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 02/19/2024] [Indexed: 03/11/2024]
Abstract
INTRODUCTION Changes in the categories and concentrations of salivary metabolites may be closely related to oral, intestinal or systemic diseases. To study salivary metabolites, the first analytical step is to extract them from saliva samples as much as possible, while reducing interferences to a minimum. Frequently used extraction methods are protein precipitation (PPT), liquid-liquid extraction (LLE) and solid-phase extraction (SPE), with various organic solvents. The types and quantities of metabolites extracted with different methods may vary greatly, but few studies have systematically evaluated them. OBJECTIVES This study aimed to select the most suitable methods and solvents for the extraction of saliva according to different analytical targets. METHODS An untargeted metabolomics approach based on liquid chromatography-mass spectrometry was applied to obtain the raw data. The numbers of metabolites, repeatability of the data and intensities of mass spectrometry signals were used as evaluation criteria. RESULTS PPT resulted in the highest coverage. Among the PPT solvents, acetonitrile displayed the best repeatability and the highest coverage, while acetone resulted in the best signal intensities for the extracted compounds. LLE with the mixture of chloroform and methanol was the most suitable for the extraction of small hydrophobic compounds. CONCLUSION PPT with acetonitrile or acetone was recommended for untargeted analysis, while LLE with the mixture of chloroform and methanol was recommended for small hydrophobic compounds.
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Affiliation(s)
- Lingli Fang
- Chongqing Key Laboratory of Oral Disease and Biomedical Sciences, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Qiming Zhai
- Chongqing Key Laboratory of Oral Disease and Biomedical Sciences, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Hua Zhang
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ping Ji
- Chongqing Key Laboratory of Oral Disease and Biomedical Sciences, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Chang Chen
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China.
| | - Hongmei Zhang
- Department of Pediatric Dentistry, Stomatological Hospital of Chongqing Medical University, Chongqing, China.
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24
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Ma J, Na S, Wang P, Li J, He S, Liu F. miR-626 Inhibition Enhanced the Radiosensitivity to Oral Squamous Cell Carcinoma via the Downregulation of Nuclear Factor Kappa-B Signaling. Cancer Biother Radiopharm 2024; 39:144-152. [PMID: 35549438 DOI: 10.1089/cbr.2021.0344] [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] [Indexed: 11/13/2022] Open
Abstract
Objective: The effect of miR-626 on the radiosensitivity to oral squamous cell carcinoma (OSCC) was evaluated in this study. Materials and Methods: The level of miR-626 in OSCC patients was determined by analyzing the data of miRNA microarray GSE113956. miR-626 was overexpressed by miR-626 mimics and knockdown were performed by miR-626 inhibitor. The level of miR-626 was detected by quantitative real-time polymerase chain reaction. 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) and colony formation assays were used to detect the effect of miR-626 on the growth of OSCC cells. Flow cytometry was used to detect the apoptosis of OSCC cells. Western blot and dual luciferase reporter assays were used to explore the underlying mechanism of miR-626 regulating the radiosensitivity to OSCC. The effect of miR-626 on the radiosensitivity to OSCC were examined in an in vivo xenograft model. Results: The serum miR-626 level of OSCC patients was significantly higher than that of healthy controls. miR-626 mimics significantly promoted the OSCC cell growth, but the miR-626 inhibitor significantly suppressed the OSCC cell growth. Radiation combined with the miR-626 inhibitor significantly suppressed the cell proliferation and promoted the apoptosis of SCC-4 and HSC4 cells. Moreover, miR-626 regulates the nuclear factor kappa-B (NF-κB) signaling mediated by TRAF-interacting protein with forkhead-associated domain B. Furthermore, inhibition of miR-626 enhances the radiosensitivity to OSCC in nude mice. Conclusions: miR-626 inhibition enhanced the radiosensitivity to OSCC through the downregulation of NF-κB signaling.
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Affiliation(s)
- Jing Ma
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medical Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, P.R. China
- Department of Endodontics and Affiliated Stomatology Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
| | - Sijia Na
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medical Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, P.R. China
- Department of Oral and Maxillofacial Surgery, Affiliated Stomatology Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
| | - Panxi Wang
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medical Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, P.R. China
| | - Jinyi Li
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medical Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, P.R. China
| | - Shuyang He
- Faculty of Dentistry, The University of Hong Kong, Hong Kong, Hong Kong
| | - Fei Liu
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medical Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, P.R. China
- Department of Pediatric Dentistry, Affiliated Stomatology Hospital of Xi'an Jiaotong University, Xi'an, P.R. China
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25
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Zhi Y, Wang Q, Zi M, Zhang S, Ge J, Liu K, Lu L, Fan C, Yan Q, Shi L, Chen P, Fan S, Liao Q, Guo C, Wang F, Gong Z, Xiong W, Zeng Z. Spatial Transcriptomic and Metabolomic Landscapes of Oral Submucous Fibrosis-Derived Oral Squamous Cell Carcinoma and its Tumor Microenvironment. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2306515. [PMID: 38229179 PMCID: PMC10966560 DOI: 10.1002/advs.202306515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 12/19/2023] [Indexed: 01/18/2024]
Abstract
In South and Southeast Asia, the habit of chewing betel nuts is prevalent, which leads to oral submucous fibrosis (OSF). OSF is a well-established precancerous lesion, and a portion of OSF cases eventually progress to oral squamous cell carcinoma (OSCC). However, the specific molecular mechanisms underlying the malignant transformation of OSCC from OSF are poorly understood. In this study, the leading-edge techniques of Spatial Transcriptomics (ST) and Spatial Metabolomics (SM) are integrated to obtain spatial location information of cancer cells, fibroblasts, and immune cells, as well as the transcriptomic and metabolomic landscapes in OSF-derived OSCC tissues. This work reveals for the first time that some OSF-derived OSCC cells undergo partial epithelial-mesenchymal transition (pEMT) within the in situ carcinoma (ISC) region, eventually acquiring fibroblast-like phenotypes and participating in collagen deposition. Complex interactions among epithelial cells, fibroblasts, and immune cells in the tumor microenvironment are demonstrated. Most importantly, significant metabolic reprogramming in OSF-derived OSCC, including abnormal polyamine metabolism, potentially playing a pivotal role in promoting tumorigenesis and immune evasion is discovered. The ST and SM data in this study shed new light on deciphering the mechanisms of OSF-derived OSCC. The work also offers invaluable clues for the prevention and treatment of OSCC.
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Affiliation(s)
- Yuan Zhi
- Department of Oral and Maxillofacial SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaHunan410011China
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer MetabolismHunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaHunan410078China
| | - Qian Wang
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer MetabolismHunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaHunan410078China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of EducationCancer Research Institute and School of Basic Medicine SciencesCentral South UniversityChangshaHunan410078China
| | - Moxin Zi
- Department of Oral and Maxillofacial SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaHunan410011China
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer MetabolismHunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaHunan410078China
| | - Shanshan Zhang
- Department of StomatologyXiangya HospitalCentral South UniversityChangshaHunan410008China
| | - Junshang Ge
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of EducationCancer Research Institute and School of Basic Medicine SciencesCentral South UniversityChangshaHunan410078China
| | - Keyue Liu
- Department of Oral and Maxillofacial SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaHunan410011China
| | - Linsong Lu
- Department of Oral and Maxillofacial SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaHunan410011China
| | - Chunmei Fan
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of EducationCancer Research Institute and School of Basic Medicine SciencesCentral South UniversityChangshaHunan410078China
| | - Qijia Yan
- Department of StomatologyXiangya HospitalCentral South UniversityChangshaHunan410008China
| | - Lei Shi
- Department of Oral and Maxillofacial SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaHunan410011China
| | - Pan Chen
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer MetabolismHunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaHunan410078China
| | - Songqing Fan
- Department of Oral and Maxillofacial SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaHunan410011China
| | - Qianjin Liao
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer MetabolismHunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaHunan410078China
| | - Can Guo
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of EducationCancer Research Institute and School of Basic Medicine SciencesCentral South UniversityChangshaHunan410078China
| | - Fuyan Wang
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of EducationCancer Research Institute and School of Basic Medicine SciencesCentral South UniversityChangshaHunan410078China
| | - Zhaojian Gong
- Department of Oral and Maxillofacial SurgeryThe Second Xiangya Hospital of Central South UniversityChangshaHunan410011China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of EducationCancer Research Institute and School of Basic Medicine SciencesCentral South UniversityChangshaHunan410078China
| | - Wei Xiong
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer MetabolismHunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaHunan410078China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of EducationCancer Research Institute and School of Basic Medicine SciencesCentral South UniversityChangshaHunan410078China
| | - Zhaoyang Zeng
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer MetabolismHunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaHunan410078China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of EducationCancer Research Institute and School of Basic Medicine SciencesCentral South UniversityChangshaHunan410078China
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26
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Balakittnen J, Ekanayake Weeramange C, Wallace DF, Duijf PHG, Cristino AS, Hartel G, Barrero RA, Taheri T, Kenny L, Vasani S, Batstone M, Breik O, Punyadeera C. A novel saliva-based miRNA profile to diagnose and predict oral cancer. Int J Oral Sci 2024; 16:14. [PMID: 38368395 PMCID: PMC10874410 DOI: 10.1038/s41368-023-00273-w] [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: 08/09/2023] [Revised: 11/13/2023] [Accepted: 12/25/2023] [Indexed: 02/19/2024] Open
Abstract
Oral cancer (OC) is the most common form of head and neck cancer. Despite the high incidence and unfavourable patient outcomes, currently, there are no biomarkers for the early detection of OC. This study aims to discover, develop, and validate a novel saliva-based microRNA signature for early diagnosis and prediction of OC risk in oral potentially malignant disorders (OPMD). The Cancer Genome Atlas (TCGA) miRNA sequencing data and small RNA sequencing data of saliva samples were used to discover differentially expressed miRNAs. Identified miRNAs were validated in saliva samples of OC (n = 50), OPMD (n = 52), and controls (n = 60) using quantitative real-time PCR. Eight differentially expressed miRNAs (miR-7-5p, miR-10b-5p, miR-182-5p, miR-215-5p, miR-431-5p, miR-486-3p, miR-3614-5p, and miR-4707-3p) were identified in the discovery phase and were validated. The efficiency of our eight-miRNA signature to discriminate OC and controls was: area under curve (AUC): 0.954, sensitivity: 86%, specificity: 90%, positive predictive value (PPV): 87.8% and negative predictive value (NPV): 88.5% whereas between OC and OPMD was: AUC: 0.911, sensitivity: 90%, specificity: 82.7%, PPV: 74.2% and NPV: 89.6%. We have developed a risk probability score to predict the presence or risk of OC in OPMD patients. We established a salivary miRNA signature that can aid in diagnosing and predicting OC, revolutionising the management of patients with OPMD. Together, our results shed new light on the management of OC by salivary miRNAs to the clinical utility of using miRNAs derived from saliva samples.
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Affiliation(s)
- Jaikrishna Balakittnen
- Saliva & Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery, Griffith University, Nathan, QLD, Australia
- Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, University of Jaffna, Jaffna, Sri Lanka
| | - Chameera Ekanayake Weeramange
- Saliva & Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery, Griffith University, Nathan, QLD, Australia
- Menzies Health Institute, Griffith University, Gold Coast, QLD, Australia
| | - Daniel F Wallace
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Pascal H G Duijf
- Centre for Cancer Biology, Clinical and Health Sciences, University of South Australia & SA Pathology, Adelaide, SA, Australia
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Alexandre S Cristino
- Griffith Institute for Drug Discovery, Griffith University, Nathan, QLD, Australia
| | - Gunter Hartel
- QIMR Berghofer Medical Research Institute, Statistics Unit, Brisbane, QLD, Australia
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
- School of Nursing, Queensland University of Technology, Brisbane, QLD, Australia
| | - Roberto A Barrero
- eResearch, Research Infrastructure, Academic Division, Queensland University of Technology, Brisbane, QLD, Australia
| | - Touraj Taheri
- Department of Anatomical Pathology, Royal Brisbane and Women's Hospital, Herston, QLD, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Liz Kenny
- Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Royal Brisbane and Women's Hospital, Cancer Care Services, Herston, QLD, Australia
| | - Sarju Vasani
- Saliva & Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery, Griffith University, Nathan, QLD, Australia
- Royal Brisbane and Women's Hospital, Cancer Care Services, Herston, QLD, Australia
- Department of Otolaryngology, Royal Brisbane and Women's Hospital, Herston, QLD, Australia
| | - Martin Batstone
- Department of Oral and Maxillofacial Surgery, Royal Brisbane and Women's Hospital, Herston, QLD, Australia
| | - Omar Breik
- Royal Brisbane and Women's Hospital, Cancer Care Services, Herston, QLD, Australia
- Department of Oral and Maxillofacial Surgery, Royal Brisbane and Women's Hospital, Herston, QLD, Australia
| | - Chamindie Punyadeera
- Saliva & Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery, Griffith University, Nathan, QLD, Australia.
- Menzies Health Institute, Griffith University, Gold Coast, QLD, Australia.
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Mortazavi H, Yousefi-Koma AA, Yousefi-Koma H. Extensive comparison of salivary collection, transportation, preparation, and storage methods: a systematic review. BMC Oral Health 2024; 24:168. [PMID: 38308289 PMCID: PMC10837873 DOI: 10.1186/s12903-024-03902-w] [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: 09/08/2023] [Accepted: 01/16/2024] [Indexed: 02/04/2024] Open
Abstract
BACKGROUND Human saliva as a bodily fluid-similar to blood-is utilized for diagnostic purposes. Unlike blood sampling, collecting saliva is non-invasive, inexpensive, and readily accessible. There are no previously published systematic reviews regarding different collection, transportation, preparation, and storage methods for human saliva. DESIGN This study has been prepared and organized according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) 2020 guidelines. This systematic review has been registered at PROSPERO (Registration ID: CRD42023415384). The study question according to the PICO format was as followed: Comparison of the performance (C) of different saliva sampling, handling, transportation, and storage techniques and methods (I) assessed for analyzing stimulated or unstimulated human saliva (P and O). An electronic search was executed in Scopus, Google Scholar, and PubMed. RESULTS Twenty-three descriptive human clinical studies published between 1995 and 2022 were included. Eight categories of salivary features and biomarkers were investigated (i.e., salivary flow rate, total saliva quantity, total protein, cortisol, testosterone, DNA quality and quantity, pH and buffering pH). Twenty-two saliva sampling methods/devices were utilized. Passive drooling, Salivette®, and spitting were the most utilized methods. Sampling times with optimum capabilities for cortisol, iodine, and oral cancer metabolites are suggested to be 7:30 AM to 9:00 AM, 10:30 AM to 11:00 AM, and 14:00 PM to 20:00 PM, respectively. There were 6 storage methods. Centrifuging samples and storing them at -70 °C to -80 °C was the most utilized storage method. For DNA quantity and quality, analyzing samples immediately after collection without centrifuging or storage, outperformed centrifuging samples and storing them at -70 °C to -80 °C. Non-coated Salivette® was the most successful method/device for analyzing salivary flow rate. CONCLUSION It is highly suggested that scientists take aid from the reported categorized outcomes, and design their study questions based on the current voids for each method/device.
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Affiliation(s)
- Hamed Mortazavi
- School of Dentistry, Shahid Beheshti University of Medical Sciences, Daneshjoo Blvd, Evin, Shahid Chamran Highway, Tehran, 1983963113, Iran
| | - Amir-Ali Yousefi-Koma
- School of Dentistry, Shahid Beheshti University of Medical Sciences, Daneshjoo Blvd, Evin, Shahid Chamran Highway, Tehran, 1983963113, Iran.
- Research Institute of Dental Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Nazar NSBM, Ramanathan A, Ghani WMN, Rokhani FB, Jacob PS, Sabri NEB, Hassan MS, Kadir K, Dharmarajan L. Salivary metabolomics in oral potentially malignant disorders and oral cancer patients-a systematic review with meta-analysis. Clin Oral Investig 2024; 28:98. [PMID: 38225483 DOI: 10.1007/s00784-023-05481-6] [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: 08/10/2023] [Accepted: 12/27/2023] [Indexed: 01/17/2024]
Abstract
OBJECTIVES The aim of this systematic review and meta-analysis is to assess the diagnostic potential of salivary metabolomics in the detection of oral potentially malignant disorders (OPMDs) and oral cancer (OC). MATERIALS AND METHODS A systematic review was performed in accordance with the 3rd edition of the Centre for Reviews and Dissemination (CRD) and Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. Electronic searches for articles were carried out in the PubMed, Web of Science, and Scopus databases. The quality assessment of the included studies was evaluated using the Newcastle-Ottawa Quality Assessment Scale (NOS) and the new version of the QUADOMICS tool. Meta-analysis was conducted whenever possible. The effect size was presented using the Forest plot, whereas the presence of publication bias was examined through Begg's funnel plot. RESULTS A total of nine studies were included in the systematic review. The metabolite profiling was heterogeneous across all the studies. The expression of several salivary metabolites was found to be significantly altered in OPMDs and OCs as compared to healthy controls. Meta-analysis was able to be conducted only for N-acetylglucosamine. There was no significant difference (SMD = 0.15; 95% CI - 0.25-0.56) in the level of N-acetylglucosamine between OPMDs, OC, and the control group. CONCLUSION Evidence for N-acetylglucosamine as a salivary biomarker for oral cancer is lacking. Although several salivary metabolites show changes between healthy, OPMDs, and OC, their diagnostic potential cannot be assessed in this review due to a lack of data. Therefore, further high-quality studies with detailed analysis and reporting are required to establish the diagnostic potential of the salivary metabolites in OPMDs and OC. CLINICAL RELEVANCE While some salivary metabolites exhibit significant changes in oral potentially malignant disorders (OPMDs) and oral cancer (OC) compared to healthy controls, the current evidence, especially for N-acetylglucosamine, is inadequate to confirm their reliability as diagnostic biomarkers. Additional high-quality studies are needed for a more conclusive assessment of salivary metabolites in oral disease diagnosis.
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Affiliation(s)
- Nur Syahirah Binti Mohd Nazar
- Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
- Department of Oral and Maxillofacial Surgery, Medicine and Pathology, Faculty of Dentistry, Universiti Sains Islam Malaysia, Kuala Lumpur, Malaysia
| | - Anand Ramanathan
- Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia.
- Oral Cancer Research & Coordinating Center, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia.
| | - Wan Maria Nabillah Ghani
- Oral Cancer Research & Coordinating Center, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Faezah Binti Rokhani
- Department of Oral and Maxillofacial Surgery, Medicine and Pathology, Faculty of Dentistry, Universiti Sains Islam Malaysia, Kuala Lumpur, Malaysia
| | - Pulikkotil Shaju Jacob
- Division of Clinical Dentistry, School of Dentistry, International Medical University, Kuala Lumpur, Malaysia
| | - Nurul Elma Binti Sabri
- Department of Agrotechnology and Bioscience, Malaysian Nuclear Agency, Bangi, Selangor, Malaysia
| | - Mohd Sukri Hassan
- Faculty of Science and Technology, Universiti Sains Islam Malaysia, Kuala Lumpur, Malaysia
| | - Kathreena Kadir
- Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
- Oral Cancer Research & Coordinating Center, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia
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Linh VTN, Kim H, Lee MY, Mun J, Kim Y, Jeong BH, Park SG, Kim DH, Rho J, Jung HS. 3D plasmonic hexaplex paper sensor for label-free human saliva sensing and machine learning-assisted early-stage lung cancer screening. Biosens Bioelectron 2024; 244:115779. [PMID: 37922808 DOI: 10.1016/j.bios.2023.115779] [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: 08/08/2023] [Revised: 10/16/2023] [Accepted: 10/21/2023] [Indexed: 11/07/2023]
Abstract
A label-free detection method for noninvasive biofluids enables rapid on-site disease screening and early-stage cancer diagnosis by analyzing metabolic alterations. Herein, we develop three-dimensional plasmonic hexaplex nanostructures coated on a paper substrate (3D-PHP). This flexible and highly absorptive 3D-PHP sensor is integrated with commercial saliva collection tube to create an efficient on-site sensing platform for lung cancer screening via surface-enhanced Raman scattering (SERS) measurement of human saliva. The multispike hexaplex-shaped gold nanostructure enhances contact with saliva viscosity, enabling effective sampling and SERS enhancement. Through testing patient salivary samples, the 3D-PHP sensor demonstrates successful lung cancer detection and diagnosis. A logistic regression-based machine learning model successfully classifies benign and malignant patients, exhibiting high clinical sensitivity and specificity. Additionally, important Raman peak positions related to different lung cancer stages are investigated, suggesting insights for early-stage cancer diagnosis. Integrating 3D-PHP senor with the conventional saliva collection tube platform is expected to offer promising practicality for rapid on-site disease screening and diagnosis, and significant advancements in cancer detection and patient care.
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Affiliation(s)
- Vo Thi Nhat Linh
- Department of Nano-Bio Convergence, Korea Institute of Materials Science (KIMS), Changwon, 51508, South Korea
| | - Hongyoon Kim
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea
| | - Min-Young Lee
- Department of Nano-Bio Convergence, Korea Institute of Materials Science (KIMS), Changwon, 51508, South Korea
| | - Jungho Mun
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea
| | - Yeseul Kim
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea
| | - Byeong-Ho Jeong
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, South Korea
| | - Sung-Gyu Park
- Department of Nano-Bio Convergence, Korea Institute of Materials Science (KIMS), Changwon, 51508, South Korea
| | - Dong-Ho Kim
- Department of Nano-Bio Convergence, Korea Institute of Materials Science (KIMS), Changwon, 51508, South Korea; Advanced Materials Engineering Division, University of Science and Technology (UST), Daejeon, 34113, South Korea.
| | - Junsuk Rho
- Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea; Department of Chemical Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea; POSCO-POSTECH-RIST Convergence Research Center for Flat Optics and Metaphotonics, Pohang, 37673, South Korea.
| | - Ho Sang Jung
- Department of Nano-Bio Convergence, Korea Institute of Materials Science (KIMS), Changwon, 51508, South Korea; Advanced Materials Engineering Division, University of Science and Technology (UST), Daejeon, 34113, South Korea; School of Convergence Science and Technology, Medical Science and Engineering, POSTECH, Pohang, 37673, South Korea.
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30
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de Souza HMR, Pereira TTP, de Sá HC, Alves MA, Garrett R, Canuto GAB. Critical Factors in Sample Collection and Preparation for Clinical Metabolomics of Underexplored Biological Specimens. Metabolites 2024; 14:36. [PMID: 38248839 PMCID: PMC10819689 DOI: 10.3390/metabo14010036] [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: 11/24/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 01/23/2024] Open
Abstract
This review article compiles critical pre-analytical factors for sample collection and extraction of eight uncommon or underexplored biological specimens (human breast milk, ocular fluids, sebum, seminal plasma, sweat, hair, saliva, and cerebrospinal fluid) under the perspective of clinical metabolomics. These samples are interesting for metabolomics studies as they reflect the status of living organisms and can be applied for diagnostic purposes and biomarker discovery. Pre-collection and collection procedures are critical, requiring protocols to be standardized to avoid contamination and bias. Such procedures must consider cleaning the collection area, sample stimulation, diet, and food and drug intake, among other factors that impact the lack of homogeneity of the sample group. Precipitation of proteins and removal of salts and cell debris are the most used sample preparation procedures. This review intends to provide a global view of the practical aspects that most impact results, serving as a starting point for the designing of metabolomic experiments.
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Affiliation(s)
- Hygor M. R. de Souza
- Instituto de Química, Universidade Federal do Rio de Janeiro, LabMeta—LADETEC, Rio de Janeiro 21941-598, Brazil;
| | - Tássia T. P. Pereira
- Departamento de Genética, Ecologia e Evolucao, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil;
- Departamento de Biodiversidade, Evolução e Meio Ambiente, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, Brazil
| | - Hanna C. de Sá
- Departamento de Química Analítica, Instituto de Química, Universidade Federal da Bahia, Salvador 40170-115, Brazil;
| | - Marina A. Alves
- Instituto de Pesquisa de Produtos Naturais Walter Mors, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-599, Brazil;
| | - Rafael Garrett
- Instituto de Química, Universidade Federal do Rio de Janeiro, LabMeta—LADETEC, Rio de Janeiro 21941-598, Brazil;
- Department of Laboratory Medicine, Boston Children’s Hospital—Harvard Medical School, Boston, MA 02115, USA
| | - Gisele A. B. Canuto
- Departamento de Química Analítica, Instituto de Química, Universidade Federal da Bahia, Salvador 40170-115, Brazil;
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31
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Adeoye J, Su YX. Artificial intelligence in salivary biomarker discovery and validation for oral diseases. Oral Dis 2024; 30:23-37. [PMID: 37335832 DOI: 10.1111/odi.14641] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 05/19/2023] [Accepted: 05/28/2023] [Indexed: 06/21/2023]
Abstract
Salivary biomarkers can improve the efficacy, efficiency, and timeliness of oral and maxillofacial disease diagnosis and monitoring. Oral and maxillofacial conditions in which salivary biomarkers have been utilized for disease-related outcomes include periodontal diseases, dental caries, oral cancer, temporomandibular joint dysfunction, and salivary gland diseases. However, given the equivocal accuracy of salivary biomarkers during validation, incorporating contemporary analytical techniques for biomarker selection and operationalization from the abundant multi-omics data available may help improve biomarker performance. Artificial intelligence represents one such advanced approach that may optimize the potential of salivary biomarkers to diagnose and manage oral and maxillofacial diseases. Therefore, this review summarized the role and current application of techniques based on artificial intelligence for salivary biomarker discovery and validation in oral and maxillofacial diseases.
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Affiliation(s)
- John Adeoye
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, University of Hong Kong, Hong Kong SAR, China
| | - Yu-Xiong Su
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, University of Hong Kong, Hong Kong SAR, China
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32
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Vlocskó M, Piffkó J, Janovszky Á. Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy. Cancers (Basel) 2023; 16:121. [PMID: 38201548 PMCID: PMC10777979 DOI: 10.3390/cancers16010121] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024] Open
Abstract
In parallel with the increasing number of oncological cases, the need for faster and more efficient diagnostic tools has also appeared. Different diagnostic approaches are available, such as radiological imaging or histological staining methods, but these do not provide adequate information regarding the resection margin, intraoperatively, or are time consuming. The purpose of this review is to summarize the current knowledge on spectrometric diagnostic modalities suitable for intraoperative use, with an emphasis on their relevance in the management of oral cancer. The literature agrees on the sensitivity, specificity, and accuracy of spectrometric diagnostic modalities, but further long-term prospective, multicentric clinical studies are needed, which may standardize the intraoperative assessment of the resection margin and the use of real-time spectroscopic approaches.
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Affiliation(s)
| | | | - Ágnes Janovszky
- Department of Oral and Maxillofacial Surgery, Albert Szent-Györgyi Medical School, University of Szeged, Kálvária 57, H-6725 Szeged, Hungary; (M.V.); (J.P.)
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33
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Han J, Gong S, Bian X, Qian Y, Wang G, Li N, Wu JL. Polarity-regulated derivatization-assisted LC-MS method for amino-containing metabolites profiling in gastric cancer. J Pharm Anal 2023; 13:1353-1364. [PMID: 38174119 PMCID: PMC10759254 DOI: 10.1016/j.jpha.2023.06.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 06/01/2023] [Accepted: 06/20/2023] [Indexed: 01/05/2024] Open
Abstract
Amino-containing compounds, including amino acids, aliphatic amines, aromatic amines, small peptides and catecholamines, are involved in various biological processes and play vital roles in multiple metabolic pathways. Previous studies indicated that some amino-containing metabolites are significant diagnostic and prognostic biomarkers of gastric cancer. However, the discovery of precise biomarkers for the preoperative diagnosis of gastric cancer is still in an urgent need. Herein, we established a polarity-regulated derivatization method coupled with liquid chromatography-mass spectrometry (LC-MS) for amino-containing metabolites profiling in the serum samples of patients with gastric cancer and healthy controls, based on our newly designed and synthesized derivatization reagent (S)-3-(1-(diisopropoxyphosphoryl) pyrrolidine-2-carboxamido)-N-hydroxysuccinimidyl ester (3-DP-NHS). Enhanced separation efficiency and detection sensitivity for amino-containing metabolites were achieved after derivatization. This method exhibited good linearity, recovery, intra- and inter-day precision and accuracy. Only 5 μL serum is needed for untargeted analysis, enabling 202 amino-containing metabolites to be detected. Statistical analysis revealed altered amino acid metabolisms in patients with gastric cancer. Furthermore, ultra high performance liquid chromatography coupled with mass spectrometry (UHPLC-MS/MS) analysis quantification revealed increased serum levels of tryptamine and decreased concentrations of arginine and tryptophan in patients with gastric cancer. Receiver operating characteristic (ROC) curves indicated that an increased tryptamine/tryptophan ratio could serve as a potential biomarker for gastric cancer diagnosis. This study demostrated the possibility of using serum amino acid biomarkers for gastric cancer diagnosis, providing new avenues for the treatment of gastric cancer.
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Affiliation(s)
- Jie Han
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, 999078, China
| | - Shilin Gong
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, 999078, China
| | - Xiqing Bian
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, 999078, China
| | - Yun Qian
- Department of Gastroenterology and Hepatology, Shenzhen University General Hospital, Shenzhen, Guangdong, 518055, China
| | - Guilan Wang
- Department of Pediatrics, Zhongshan Boai Hospital, Zhongshan, Guangdong, 528403, China
| | - Na Li
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, 999078, China
| | - Jian-Lin Wu
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, 999078, China
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Greenfield E, Alves MDS, Rodrigues F, Nogueira JO, da Silva L, de Jesus HP, Cavalcanti DR, Carvalho BFDC, Almeida JD, Mendes MA, Oliveira Alves MG. Preliminary Findings on the Salivary Metabolome of Hookah and Cigarette Smokers. ACS OMEGA 2023; 8:36845-36855. [PMID: 37841134 PMCID: PMC10569005 DOI: 10.1021/acsomega.3c03683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/10/2023] [Indexed: 10/17/2023]
Abstract
The aim of the study was to evaluate the salivary metabolomic profile of patients who habitually smoke hookah and cigarettes. The groups consisted of 33 regular and exclusive hookah smokers, 26 regular and exclusive cigarette smokers, and 30 nonsmokers. Unstimulated whole saliva was collected for the measurement of salivary metabolites by gas chromatography coupled with tandem mass spectrometry (GC-MS/MS). The MetaboAnalyst software was used for statistical analysis and evaluation of biomarkers. 11 smoking salivary biomarkers were identified using the area under receiving-operator curver criterion and threshold of 0.9. Xylitol and octadecanol were higher in cigarette smokers compared to controls; arabitol and maltose were higher in controls compared to cigarette smokers; octadecanol and tyramine were higher in hookah smokers compared to controls; phenylalanine was higher in controls compared to hookah smokers; and fructose, isocitric acid, glucuronic acid, tryptamine, maltose, tyramine, and 3-hydroxyisolvaleric acid were higher in hookah smokers compared to cigarettes smokers. Conclusions: The evaluation of the salivary metabolome of hookah smokers, showing separation between the groups, especially between the control versus hookah groups and cigarette versus hookah groups, and it seems to demonstrate that the use of hookah tobacco is more damaging to health.
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Affiliation(s)
- Ellen Greenfield
- Technology
Research Center (NPT), Universidade de Mogi
das Cruzes, Mogi das
Cruzes 08780-911, Brazil
| | - Mariana de Sá Alves
- Department
of Biosciences and Oral Diagnosis, Institute
of Science and Technology, São Paulo State University (UNESP), São José dos Campos, São Paulo 01049-010, Brazil
| | - Fernanda Rodrigues
- Technology
Research Center (NPT), Universidade de Mogi
das Cruzes, Mogi das
Cruzes 08780-911, Brazil
| | | | | | | | | | - Bruna Fernandes do Carmo Carvalho
- Department
of Biosciences and Oral Diagnosis, Institute
of Science and Technology, São Paulo State University (UNESP), São José dos Campos, São Paulo 01049-010, Brazil
| | - Janete Dias Almeida
- Department
of Biosciences and Oral Diagnosis, Institute
of Science and Technology, São Paulo State University (UNESP), São José dos Campos, São Paulo 01049-010, Brazil
| | - Maria Anita Mendes
- Dempster
MS Lab, Department of Chemical Engineering, Polytechnic School, University of Sao Paulo, Sao Paulo 05508-900, Brazil
| | - Mônica Ghislaine Oliveira Alves
- Technology
Research Center (NPT), Universidade de Mogi
das Cruzes, Mogi das
Cruzes 08780-911, Brazil
- Department
of Biosciences and Oral Diagnosis, Institute
of Science and Technology, São Paulo State University (UNESP), São José dos Campos, São Paulo 01049-010, Brazil
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Fonseca AU, Felix JP, Pinheiro H, Vieira GS, Mourão ÝC, Monteiro JCG, Soares F. An Intelligent System to Improve Diagnostic Support for Oral Squamous Cell Carcinoma. Healthcare (Basel) 2023; 11:2675. [PMID: 37830712 PMCID: PMC10572543 DOI: 10.3390/healthcare11192675] [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: 08/18/2023] [Revised: 09/12/2023] [Accepted: 09/25/2023] [Indexed: 10/14/2023] Open
Abstract
Oral squamous cell carcinoma (OSCC) is one of the most-prevalent cancer types worldwide, and it poses a serious threat to public health due to its high mortality and morbidity rates. OSCC typically has a poor prognosis, significantly reducing the chances of patient survival. Therefore, early detection is crucial to achieving a favorable prognosis by providing prompt treatment and increasing the chances of remission. Salivary biomarkers have been established in numerous studies to be a trustworthy and non-invasive alternative for early cancer detection. In this sense, we propose an intelligent system that utilizes feed-forward artificial neural networks to classify carcinoma with salivary biomarkers extracted from control and OSCC patient samples. We conducted experiments using various salivary biomarkers, ranging from 1 to 51, to train the model, and we achieved excellent results with precision, sensitivity, and specificity values of 98.53%, 96.30%, and 97.56%, respectively. Our system effectively classified the initial cases of OSCC with different amounts of biomarkers, aiding medical professionals in decision-making and providing a more-accurate diagnosis. This could contribute to a higher chance of treatment success and patient survival. Furthermore, the minimalist configuration of our model presents the potential for incorporation into resource-limited devices or environments.
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Affiliation(s)
- Afonso U. Fonseca
- Institute of Informatics, Federal University of Goiás, Goiânia 74690-900, GO, Brazil; (J.P.F.); (H.P.); (G.S.V.); (F.S.)
| | - Juliana P. Felix
- Institute of Informatics, Federal University of Goiás, Goiânia 74690-900, GO, Brazil; (J.P.F.); (H.P.); (G.S.V.); (F.S.)
| | - Hedenir Pinheiro
- Institute of Informatics, Federal University of Goiás, Goiânia 74690-900, GO, Brazil; (J.P.F.); (H.P.); (G.S.V.); (F.S.)
| | - Gabriel S. Vieira
- Institute of Informatics, Federal University of Goiás, Goiânia 74690-900, GO, Brazil; (J.P.F.); (H.P.); (G.S.V.); (F.S.)
- Federal Institute Goiano, Computer Vision Lab, Urutaí 75790-000, GO, Brazil
| | | | | | - Fabrizzio Soares
- Institute of Informatics, Federal University of Goiás, Goiânia 74690-900, GO, Brazil; (J.P.F.); (H.P.); (G.S.V.); (F.S.)
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36
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Yu M, Hu S, Tang B, Yang H, Sun D. Engineering Escherichia coli Nissle 1917 as a microbial chassis for therapeutic and industrial applications. Biotechnol Adv 2023; 67:108202. [PMID: 37343690 DOI: 10.1016/j.biotechadv.2023.108202] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 05/19/2023] [Accepted: 06/17/2023] [Indexed: 06/23/2023]
Abstract
Genetically engineered microbes, especially Escherichia coli, have been widely used in the biosynthesis of proteins and metabolites for medical and industrial applications. As a traditional probiotic with a well-established safety record, E. coli Nissle 1917 (EcN) has recently emerged as a microbial chassis for generating living therapeutics, drug delivery vehicles, and microbial platforms for industrial production. Despite the availability of genetic tools for engineering laboratory E. coli K-12 and B strains, new genetic engineering systems are still greatly needed to expand the application range of EcN. In this review, we have summarized the latest progress in the development of genetic engineering systems in EcN, as well as their applications in the biosynthesis and delivery of valuable small molecules and biomacromolecules of medical and/or industrial interest, followed by a glimpse of how this rapidly growing field will evolve in the future.
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Affiliation(s)
- Mingjing Yu
- College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China
| | - Shilong Hu
- College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China
| | - Biao Tang
- Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, Zhejiang, China
| | - Hua Yang
- Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, Zhejiang, China
| | - Dongchang Sun
- College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China.
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37
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Kumar BS. Recent Advances and Applications of Ambient Mass Spectrometry Imaging in Cancer Research: An Overview. Mass Spectrom (Tokyo) 2023; 12:A0129. [PMID: 37789912 PMCID: PMC10542858 DOI: 10.5702/massspectrometry.a0129] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 08/25/2023] [Indexed: 10/05/2023] Open
Abstract
Cancer metabolic variability has a significant impact on both diagnosis and treatment outcomes. The discovery of novel biological indicators and metabolic dysregulation, can significantly rely on comprehension of the modified metabolism in cancer, is a research focus. Tissue histology is a critical feature in the diagnostic testing of many ailments, such as cancer. To assess the surgical margin of the tumour on patients, frozen section histology is a tedious, laborious, and typically arbitrary method. Concurrent monitoring of ion images in tissues facilitated by the latest advancements in mass spectrometry imaging (MSI) is far more efficient than optical tissue image analysis utilized in conventional histopathology examination. This article focuses on the "desorption electrospray ionization (DESI)-MSI" technique's most recent advancements and uses in cancer research. DESI-MSI can provide wealthy information based on the variances in metabolites and lipids in normal and cancerous tissues by acquiring ion images of the lipid and metabolite variances on biopsy samples. As opposed to a systematic review, this article offers a synopsis of the most widely employed cutting-edge DESI-MSI techniques in cancer research.
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Affiliation(s)
- Bharath S. Kumar
- Correspondence to: Bharath S. Kumar, 21, B2, 27th Street, Nanganallur, Chennai, India, e-mail:
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38
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Li Z, Sun C, Jia K, Wang X, Han J, Chen J, Wang J, Liu H, Nie Z. Biofluid Metabolic Profiling for Lung Cancer Screening via Reactive Matrix-Assisted Laser Desorption Ionization Mass Spectrometry. Anal Chem 2023; 95:12062-12070. [PMID: 37534414 DOI: 10.1021/acs.analchem.3c02015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
Lung cancer (LC) has the highest mortality rate among various cancer diseases. Developing an early screening method for LC with high classification accuracy is essential. Herein, 2-hydrazinoquinoline (2-HQ) is utilized as a dual-mode reactive matrix for metabolic fingerprint analysis and LC screening via matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS). Metabolites in both positive mode and negative mode can be detected using 2-HQ as the matrix, and derivative analysis of aldehyde and ketone compounds can be achieved simultaneously. Hundreds of serum and urine samples from LC patients and healthy volunteers were analyzed. Combined with machine learning, LC patients and healthy volunteers were successfully distinguished with a high area under the curve value (0.996 for blind serum samples and 0.938 for urine). The MS signal was identified for metabolic profiling, and dysregulated metabolites of the LC group were analyzed. The above results showed that this method has great potential for rapid screening of LC.
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Affiliation(s)
- Zhengzhou Li
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chen Sun
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Ke Jia
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiao Wang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jing Han
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Junyu Chen
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jiyun Wang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Huihui Liu
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Zongxiu Nie
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Zhou Y, Liu Z. Saliva biomarkers in oral disease. Clin Chim Acta 2023; 548:117503. [PMID: 37536520 DOI: 10.1016/j.cca.2023.117503] [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: 04/23/2023] [Revised: 07/26/2023] [Accepted: 07/31/2023] [Indexed: 08/05/2023]
Abstract
Saliva is a versatile biofluid that contains a wide variety of biomarkers reflecting both physiologic and pathophysiologic states. Saliva collection is noninvasive and highly applicable for tests requiring serial sampling. Furthermore, advances in test accuracy, sensitivity and precision for saliva has improved diagnostic performance as well as the identification of novel markers especially in oral disease processes. These include dental caries, periodontitis, oral squamous cell carcinoma (OSCC) and Sjögren's syndrome (SS). Numerous growth factors, enzymes, interleukins and cytokines have been identified and are the subject of much research investigation. This review highlights current procedures for successful determination of saliva biomarkers including preanalytical factors associated with sampling, storage and pretreatment as well as subsequent analysis. Moreover, it provides an overview of the diagnostic applications of these salivary biomarkers in common oral diseases.
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Affiliation(s)
- Yuehong Zhou
- Wenzhou Medical University Renji College, Wenzhou, China
| | - Zhenqi Liu
- Department of Cariology and Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
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Alapati S, Fortuna G, Ramage G, Delaney C. Evaluation of Metabolomics as Diagnostic Targets in Oral Squamous Cell Carcinoma: A Systematic Review. Metabolites 2023; 13:890. [PMID: 37623834 PMCID: PMC10456490 DOI: 10.3390/metabo13080890] [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: 06/30/2023] [Revised: 07/21/2023] [Accepted: 07/25/2023] [Indexed: 08/26/2023] Open
Abstract
In recent years, high-throughput technologies have facilitated the widespread use of metabolomics to identify biomarkers and targets for oral squamous cell carcinoma (OSCC). As a result, the primary goal of this systematic review is to identify and evaluate metabolite biomarkers and their pathways for OSCC that featured consistently across studies despite methodological variations. Six electronic databases (Medline, Cochrane, Web of Science, CINAHL, ProQuest, and Embase) were reviewed for the longitudinal studies involving OSCC patients and metabolic marker analysis (in accordance with PRISMA 2020). The studies included ranged from the inception of metabolomics in OSCC (i.e., 1 January 2007) to 30 April 2023. The included studies were then assessed for their quality using the modified version of NIH quality assessment tool and QUADOMICS. Thirteen studies were included after screening 2285 studies. The majority of the studies were from South Asian regions, and metabolites were most frequently derived from saliva. Amino acids accounted for more than quarter of the detected metabolites, with glutamate and methionine being the most prominent. The top dysregulated metabolites indicated dysregulation of six significantly enriched pathways including aminoacyl-tRNA biosynthesis, glutathione metabolism and arginine biosynthesis with the false discovery rate (FDR) <0.05. Finally, this review highlights the potential of metabolomics for early diagnosis and therapeutic targeting of OSCC. However, larger studies and standardized protocols are needed to validate these findings and make them a clinical reality.
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Affiliation(s)
- Susanth Alapati
- Oral Sciences Research Group, Glasgow Dental School, School of Medicine, Dentistry and Nursing, University of Glasgow, 378 Sauchiehall Street, Glasgow G2 3JZ, UK; (S.A.)
| | - Giulio Fortuna
- Department of Oral Medicine, Glasgow Dental School, School of Medicine, Dentistry and Nursing, University of Glasgow, 378 Sauchiehall Street, Glasgow G2 3JZ, UK
| | - Gordon Ramage
- Oral Sciences Research Group, Glasgow Dental School, School of Medicine, Dentistry and Nursing, University of Glasgow, 378 Sauchiehall Street, Glasgow G2 3JZ, UK; (S.A.)
| | - Christopher Delaney
- Oral Sciences Research Group, Glasgow Dental School, School of Medicine, Dentistry and Nursing, University of Glasgow, 378 Sauchiehall Street, Glasgow G2 3JZ, UK; (S.A.)
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Hibino S, Eto S, Hangai S, Endo K, Ashitani S, Sugaya M, Osawa T, Soga T, Taniguchi T, Yanai H. Tumor cell-derived spermidine is an oncometabolite that suppresses TCR clustering for intratumoral CD8 + T cell activation. Proc Natl Acad Sci U S A 2023; 120:e2305245120. [PMID: 37276392 PMCID: PMC10268234 DOI: 10.1073/pnas.2305245120] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 05/03/2023] [Indexed: 06/07/2023] Open
Abstract
The activation and expansion of T cells that recognize cancer cells is an essential aspect to antitumor immunity. Tumors may escape destruction by the immune system through ectopic expression of inhibitory immune ligands typically exemplified by the PD-L1/PD-1 pathway. Here, we reveal another facet of tumor evasion from T cell surveillance. By secretome profiling of necrotic tumor cells, we identified an oncometabolite spermidine as a unique inhibitor of T cell receptor (TCR) signaling. Mechanistically, spermidine causes the downregulation of the plasma membrane cholesterol levels, resulting in the suppression of TCR clustering. Using syngeneic mouse models, we show that spermidine is abundantly detected in the tumor immune microenvironment (TIME) and that administration of the polyamine synthesis inhibitor effectively enhanced CD8+ T cell-dependent antitumor responses. Further, the combination of the polyamine synthesis inhibitor with anti-PD-1 immune checkpoint antibody resulted in a much stronger antitumor immune response. This study reveals an aspect of immunosuppressive TIME, wherein spermidine functions as a metabolic T cell checkpoint that may offer a unique approach for promoting tumor immunotherapy.
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Affiliation(s)
- Sana Hibino
- Department of Inflammology, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo153-0041, Japan
| | - Shotaro Eto
- Department of Inflammology, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo153-0041, Japan
| | - Sho Hangai
- Department of Inflammology, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo153-0041, Japan
| | - Keiko Endo
- Institute for Advanced Biosciences, Keio University, Yamagata997-0052, Japan
| | - Sanae Ashitani
- Institute for Advanced Biosciences, Keio University, Yamagata997-0052, Japan
| | - Maki Sugaya
- Division of Nutriomics and Oncology, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo153-8904, Japan
| | - Tsuyoshi Osawa
- Division of Nutriomics and Oncology, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo153-8904, Japan
| | - Tomoyoshi Soga
- Institute for Advanced Biosciences, Keio University, Yamagata997-0052, Japan
| | - Tadatsugu Taniguchi
- Department of Inflammology, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo153-0041, Japan
| | - Hideyuki Yanai
- Department of Inflammology, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo153-0041, Japan
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42
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Yin C, Yan B. Machine learning in basic scientific research on oral diseases. DIGITAL MEDICINE 2023; 9. [DOI: 10.1097/dm-2023-00001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
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He Z, Huang J, Shen W, Lei X, Zhang Y, Zhu L, Shen X, Zhang D, Yu D, Zhou M. A Paper-Based Fluorescent Sensor for Rapid Early Screening of Oral Squamous Cell Carcinoma. ACS APPLIED MATERIALS & INTERFACES 2023; 15:24913-24922. [PMID: 37163749 DOI: 10.1021/acsami.3c03545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Various types of sensors play an irreplaceable role in the detection of biomarkers, but their high cost and complicated operation make it difficult to benefit ordinary people. Herein, we develop a low-cost, double-layered, paper-based fluorescent sensor (CP/HQ) structurally consisting of the upper reaction layer loaded with two oxidases (lactate oxidase and choline oxidase) and the bottom fluorescent layer that physically associates with the porphine-grafted composite fluorescent polymer colloids (PF-PDMTP/HQ). Based on the dramatic and rapid fluorescence decrease of porphine induced by the oxidation between saliva and oxidases and subsequent fluorescence resonance energy transfer from oxidized hydroquinone, the resultant fluorescent paper sensor enables us to achieve visual detection of OSCC, which was further recognized by smartphone scanning as the grayscale variation. It was found that the linear sensing range of grayscale value are 10-200 μM for lactic acid and 10-100 μM for choline, with LODs of 5.7 and 8.9 μM, respectively. More importantly, the sensor can achieve a powerful detection capability comparable to that of high-performance liquid chromatography (HPLC) in clinical settings with simple operation, demonstrating its great application potential. Our proposed sensor not only improves the accuracy of OSCC diagnosis but also provides a valuable attempt for the device modification of polymer-sensing systems and the development of non-invasive and easy-to-operate disease screening methods.
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Affiliation(s)
- Zejian He
- College of Materials Science and Engineering, Zhejiang University of Technology, Zhejiang 310014, P. R. China
| | - Jianyao Huang
- Department of Stomatology Surgery, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang 322000, P. R. China
| | - Wenyi Shen
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang 310003, P. R. China
| | - Xiaoyue Lei
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang 310003, P. R. China
| | - Yifan Zhang
- College of Materials Science and Engineering, Zhejiang University of Technology, Zhejiang 310014, P. R. China
| | - Liangliang Zhu
- College of Materials Science and Engineering, Zhejiang University of Technology, Zhejiang 310014, P. R. China
| | - Xinyi Shen
- College of Materials Science and Engineering, Zhejiang University of Technology, Zhejiang 310014, P. R. China
| | - Dong Zhang
- The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, United States
| | - Dan Yu
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang 310003, P. R. China
| | - Mi Zhou
- College of Materials Science and Engineering, Zhejiang University of Technology, Zhejiang 310014, P. R. China
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Hyvärinen E, Kashyap B, Kullaa AM. Oral Sources of Salivary Metabolites. Metabolites 2023; 13:metabo13040498. [PMID: 37110157 PMCID: PMC10145445 DOI: 10.3390/metabo13040498] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/10/2023] [Accepted: 03/28/2023] [Indexed: 03/31/2023] Open
Abstract
The oral cavity is very diverse, where saliva plays an important role in maintaining oral health. The metabolism of saliva has been used to investigate oral diseases as well as general diseases, mainly to detect diagnostic biomarkers. There are many sources of salivary metabolites in the mouth. The online English language search and PubMed databases were searched to retrieve relevant studies on oral salivary metabolites. The physiological balance of the mouth is influenced by many factors that are reflected in the salivary metabolite profile. Similarly, the dysbiosis of microbes can alter the salivary metabolite profile, which may express oral inflammation or oral diseases. This narrative review highlights the factors to be considered when examining saliva and its use as a diagnostic biofluid for different diseases. Salivary metabolites, mainly small molecular metabolites may enter the bloodstream and cause illness elsewhere in the body. The importance of salivary metabolites produced in the oral cavity as risk factors for general diseases and their possible relationship to the body’s function are also discussed.
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Saliva Metabolomic Profile in Dental Medicine Research: A Narrative Review. Metabolites 2023; 13:metabo13030379. [PMID: 36984819 PMCID: PMC10052075 DOI: 10.3390/metabo13030379] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023] Open
Abstract
Metabolomic research tends to increase in popularity over the years, leading to the identification of new biomarkers related to specific health disorders. Saliva is one of the most newly introduced and systematically developed biofluids in the human body that can serve as an informative substance in the metabolomic profiling armamentarium. This review aims to analyze the current knowledge regarding the human salivary metabolome, its alterations due to physiological, environmental and external factors, as well as the limitations and drawbacks presented in the most recent research conducted, focusing on pre—analytical and analytical workflows. Furthermore, the use of the saliva metabolomic profile as a promising biomarker for several oral pathologies, such as oral cancer and periodontitis will be investigated.
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46
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Wang X, Sun X, Ma C, Zhang Y, Kong L, Huang Z, Hu Y, Wan H, Wang P. Multifunctional AuNPs@HRP@FeMOF immune scaffold with a fully automated saliva analyzer for oral cancer screening. Biosens Bioelectron 2023; 222:114910. [PMID: 36542992 DOI: 10.1016/j.bios.2022.114910] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 10/13/2022] [Accepted: 11/10/2022] [Indexed: 11/13/2022]
Abstract
Delayed diagnosis of cancer-causing death is a worldwide concern. General diagnosis methods are invasive, time-consuming, and operation complicated, which are not suitable for preliminary screening. To address these challenges, the sensing platform based on immune scaffold and fully automated saliva analyzer (FASA) was proposed for oral cancer screening for the first time by non-invasive detection of Cyfra21-1 in saliva. Through one-step synthesis method with unique covalent and electrostatic adsorption strategy, AuNPs@HRP@FeMOF immune scaffold features multiple functions including antibody carrier, catalytic activity, and signal amplification. Highly integrated FASA with the immune scaffold provides automatic testing to avoid false-positive results and reduce pretreatment time without any user intervention. Compared with the commercial analyzer, FASA has comparable performance for Cyfra21-1 detection with a detection range of 3.1-50.0 ng/mL and R2 of 0.971, and superior features in full automation, high integration, time saving and low cost. Oral cancer patients could be distinguished accurately by the platform with an excellent correlation (R2 of 0.904) and average RSD (5.578%) without sample dilution. The proposed platform provides an effective and promising tool for cancer screening in point-of-care applications, which can be further extended for biomarker detection in universal body fluids, disease screening, prognosis review and homecare monitoring.
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Affiliation(s)
- Xinyi Wang
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China; Binjiang Institute of Zhejiang University, Hangzhou, 310053, China
| | - Xianyou Sun
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Chiyu Ma
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Yanchi Zhang
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Liubing Kong
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Zhuoru Huang
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Yanjie Hu
- Department of Respiratory Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China
| | - Hao Wan
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China; Binjiang Institute of Zhejiang University, Hangzhou, 310053, China.
| | - Ping Wang
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China; Binjiang Institute of Zhejiang University, Hangzhou, 310053, China; The MOE Frontier Science Center for Brain Science & Brain-machine Integration, Zhejiang University, Hangzhou, 310027, China.
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Hamilton S, Shea D, Ibsen S, Brasino M. On-chip dielectrophoretic recovery and detection of a lactate sensing probiotic from model human saliva. Electrophoresis 2023; 44:442-449. [PMID: 36401837 PMCID: PMC10090127 DOI: 10.1002/elps.202200214] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/28/2022] [Accepted: 11/06/2022] [Indexed: 11/20/2022]
Abstract
Early detection has led to increased survival for multiple cancers; however, the 5-year survival rate of oral carcinoma (OC) has remained at 40% for the last several decades. Screening for OC is routinely done via visual examinations, followed by tissue biopsy and laboratory testing. Point-of-care testing would be a more convenient and widely available alternative for at-risk individuals. Increased lactate production is a hallmark of many head-and-neck tumors, due to the Warburg Effect, where tumor cells favor glycolysis in the place of oxidative phosphorylation. To detect excess lactate, we have modified the commensal bacterium Escherichia coli Nissle 1917 to express fluorescent reporter genes in response to extracellular lactate. Administering this commensal as a mouth wash and subsequently collecting saliva for the detection of the reporter may allow for noninvasive, early detection of cancerous lesions in at-risk individuals. Furthermore, we demonstrate a new on-chip electrokinetic technique to recover these probiotic probes from model saliva fluid to improve the detection of reporter gene activation.
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Affiliation(s)
- Sean Hamilton
- Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97201, USA
- Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University, Portland, OR 97201, USA
| | - Delaney Shea
- Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97201, USA
- Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University, Portland, OR 97201, USA
| | - Stuart Ibsen
- Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97201, USA
- Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University, Portland, OR 97201, USA
| | - Michael Brasino
- Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97201, USA
- Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University, Portland, OR 97201, USA
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48
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Huang Z, Yang X, Huang Y, Tang Z, Chen Y, Liu H, Huang M, Qing L, Li L, Wang Q, Jie Z, Jin X, Jia B. Saliva - a new opportunity for fluid biopsy. Clin Chem Lab Med 2023; 61:4-32. [PMID: 36285724 DOI: 10.1515/cclm-2022-0793] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 09/29/2022] [Indexed: 12/15/2022]
Abstract
Saliva is a complex biological fluid with a variety of biomolecules, such as DNA, RNA, proteins, metabolites and microbiota, which can be used for the screening and diagnosis of many diseases. In addition, saliva has the characteristics of simple collection, non-invasive and convenient storage, which gives it the potential to replace blood as a new main body of fluid biopsy, and it is an excellent biological diagnostic fluid. This review integrates recent studies and summarizes the research contents of salivaomics and the research progress of saliva in early diagnosis of oral and systemic diseases. This review aims to explore the value and prospect of saliva diagnosis in clinical application.
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Affiliation(s)
- Zhijie Huang
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Xiaoxia Yang
- Department of Endodontics, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Yisheng Huang
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Zhengming Tang
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Yuanxin Chen
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Hongyu Liu
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Mingshu Huang
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Ling Qing
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Li Li
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Qin Wang
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Zhuye Jie
- BGI Genomics, BGI-Shenzhen, Shenzhen, P.R. China
- Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, Shenzhen, P.R. China
- Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Xin Jin
- BGI Genomics, BGI-Shenzhen, Shenzhen, P.R. China
- School of Medicine, South China University of Technology, Guangzhou, P.R. China
| | - Bo Jia
- Department of Oral Surgery, Stomatological Hospital, Southern Medical University, Guangzhou, P.R. China
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49
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Mofidfar M, Song X, Kelly JT, Rubenstein MH, Zare RN. Silicone Wristband Spray Ionization Mass Spectrometry for Combined Exposome and Metabolome Profiling. Isr J Chem 2023. [DOI: 10.1002/ijch.202200116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Affiliation(s)
| | - Xiaowei Song
- Department of Chemistry Stanford University Stanford CA 94305 USA
| | - John T. Kelly
- Air Force Research Laboratory Wright-Patterson AFB OH 45433 USA
| | | | - Richard N. Zare
- Department of Chemistry Stanford University Stanford CA 94305 USA
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50
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Saproo S, Sarkar SS, Gautam V, Konyak CW, Dass G, Karmakar A, Sharma M, Ahuja G, Gupta A, Tayal J, Mehta A, Naidu S. Salivary protein kinase C alpha and novel microRNAs as diagnostic and therapeutic resistance markers for oral squamous cell carcinoma in Indian cohorts. Front Mol Biosci 2023; 9:1106963. [PMID: 36703917 PMCID: PMC9871261 DOI: 10.3389/fmolb.2022.1106963] [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: 11/24/2022] [Accepted: 12/28/2022] [Indexed: 01/12/2023] Open
Abstract
Oral squamous cell carcinoma (OSCC) is the second leading cause of cancer-related morbidity and mortality in India. Tobacco, alcohol, poor oral hygiene, and socio-economic factors remain causative for this high prevalence. Identification of non-invasive diagnostic markers tailored for Indian population can facilitate mass screening to reduce overall disease burden. Saliva offers non-invasive sampling and hosts a plethora of markers for OSCC diagnosis. Here, to capture the OSCC-specific salivary RNA markers suitable for Indian population, we performed RNA-sequencing of saliva from OSCC patients (n = 9) and normal controls (n = 5). Differential gene expression analysis detected an array of salivary RNAs including mRNAs, long non-coding RNAs, transfer-RNAs, and microRNAs specific to OSCC. Computational analysis and functional predictions identified protein kinase c alpha (PRKCA), miR-6087, miR-449b-5p, miR-3656, miR-326, miR-146b-5p, and miR-497-5p as potential salivary indicators of OSCC. Notably, higher expression of PRKCA, miR-6087 and miR-449b-5p were found to be associated with therapeutic resistance and poor survival, indicating their prognostic potential. In addition, sequencing reads that did not map to the human genome, showed alignments with microbial reference genomes. Metagenomic and statistical analysis of these microbial reads revealed a remarkable microbial dysbiosis between OSCC patients and normal controls. Moreover, the differentially abundant microbial taxa showed a significant association with tumor promoting pathways including inflammation and oxidative stress. Summarily, we provide an integrated landscape of OSCC-specific salivary RNAs relevant to Indian population which can be instrumental in devising non-invasive diagnostics for OSCC.
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Affiliation(s)
- Sheetanshu Saproo
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Shashanka S. Sarkar
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Vishakha Gautam
- Department of Computational Biology, Indraprastha Institute of Information Technology- Delhi (IIIT-Delhi), New Delhi, India
| | - Chingmei W. Konyak
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Gouri Dass
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Arpita Karmakar
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Mansi Sharma
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India
| | - Gaurav Ahuja
- Department of Computational Biology, Indraprastha Institute of Information Technology- Delhi (IIIT-Delhi), New Delhi, India
| | - Anand Gupta
- Department of Dentistry, Government Medical College and Hospital, Chandigarh, India
| | - Juhi Tayal
- Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Anurag Mehta
- Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Srivatsava Naidu
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India,*Correspondence: Srivatsava Naidu,
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