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Dakal TC, Dhakar R, Beura A, Moar K, Maurya PK, Sharma NK, Ranga V, Kumar A. Emerging methods and techniques for cancer biomarker discovery. Pathol Res Pract 2024; 262:155567. [PMID: 39232287 DOI: 10.1016/j.prp.2024.155567] [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: 04/28/2024] [Revised: 08/24/2024] [Accepted: 08/28/2024] [Indexed: 09/06/2024]
Abstract
Modern cancer research depends heavily on the identification and validation of biomarkers because they provide important information about the diagnosis, prognosis, and response to treatment of the cancer. This review will provide a comprehensive overview of cancer biomarkers, including their development phases and recent breakthroughs in transcriptomics and computational techniques for detecting these biomarkers. Blood-based biomarkers have great potential for non-invasive tumor dynamics and treatment response monitoring. These include circulating tumor DNA, exosomes, and microRNAs. Comprehensive molecular profiles are provided by multi-omic technologies, which combine proteomics, metabolomics, and genomes to support the identification of biomarkers and the targeting of therapeutic interventions. Genetic changes are detected by next-generation sequencing, and patterns of protein expression are found by protein arrays and mass spectrometry. Tumor heterogeneity and clonal evolution can be understood using metabolic profiling and single-cell studies. It is projected that the use of several biomarkers-genetic, protein, mRNA, microRNA, and DNA profiles, among others-will rise, enabling multi-biomarker analysis and improving individualised treatment plans. Biomarker identification and patient outcome prediction are further improved by developments in AI algorithms and imaging techniques. Robust biomarker validation and reproducibility require cooperation between industry, academia, and doctors. Biomarkers can provide individualized care, meet unmet clinical needs, and enhance patient outcomes despite some obstacles. Precision medicine will continue to take shape as scientific research advances and the integration of biomarkers with cutting-edge technologies continues to offer a more promising future for personalized cancer care.
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Affiliation(s)
- Tikam Chand Dakal
- Genome and Computational Biology Lab, Department of Biotechnology, Mohanlal Sukhadia University, Udaipur, Rajasthan 313001, India.
| | - Ramgopal Dhakar
- Deparment of Life Science, Mewar University, Chittorgarh, Rajasthan 312901, India
| | - Abhijit Beura
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India
| | - Kareena Moar
- Department of Biochemistry, Central University of Haryana, Mahendergarh, Haryana 123031, India
| | - Pawan Kumar Maurya
- Department of Biochemistry, Central University of Haryana, Mahendergarh, Haryana 123031, India
| | - Narendra Kumar Sharma
- Deparment of Bioscience and Biotechnology, Banasthali Vidyapith, Tonk, Rajasthan 304022, India
| | - Vipin Ranga
- DBT-NECAB, Assam Agriculture University, Jorhat, Assam 785013, India
| | - Abhishek Kumar
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India; Manipal Academy of Higher Education (MAHE) Manipal, Karnataka, India.
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El-Tanani M, Rabbani SA, El-Tanani Y, Matalka II. Metabolic vulnerabilities in cancer: A new therapeutic strategy. Crit Rev Oncol Hematol 2024; 201:104438. [PMID: 38977145 DOI: 10.1016/j.critrevonc.2024.104438] [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: 05/09/2024] [Accepted: 07/02/2024] [Indexed: 07/10/2024] Open
Abstract
Cancer metabolism is now a key area for therapeutic intervention, targeting unique metabolic reprogramming crucial for tumor growth and survival. This article reviews the therapeutic potential of addressing metabolic vulnerabilities through glycolysis and glutaminase inhibitors, which disrupt cancer cell metabolism. Challenges such as tumor heterogeneity and adaptive resistance are discussed, with strategies including personalized medicine and predictive biomarkers to enhance treatment efficacy. Additionally, integrating diet and lifestyle changes with metabolic targeting underscores a holistic approach to improving therapy outcomes. The article also examines the benefits of incorporating these strategies into standard care, highlighting the potential for more tailored, safer treatments. In conclusion, exploiting metabolic vulnerabilities promises a new era in oncology, positioning metabolic targeting at the forefront of personalized cancer therapy and transforming patient care.
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Affiliation(s)
- Mohamed El-Tanani
- RAK College of Pharmacy, RAK Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates.
| | - Syed Arman Rabbani
- RAK College of Pharmacy, RAK Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates.
| | - Yahia El-Tanani
- Medical School, St George's University of London, Cranmer Terrace, Tooting, London, UK
| | - Ismail I Matalka
- RAK Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates; Department of Pathology and Microbiology, Medicine, Jordan University of Science and Technology, Irbid, Jordan.
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Klupczynska-Gabryszak A, Daskalaki E, Wheelock CE, Kasprzyk M, Dyszkiewicz W, Grabicki M, Brajer-Luftmann B, Pawlak M, Kokot ZJ, Matysiak J. Metabolomics-based search for lung cancer markers among patients with different smoking status. Sci Rep 2024; 14:15444. [PMID: 38965272 PMCID: PMC11224321 DOI: 10.1038/s41598-024-65835-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 06/24/2024] [Indexed: 07/06/2024] Open
Abstract
Tobacco smoking is the main etiological factor of lung cancer (LC), which can also cause metabolome disruption. This study aimed to investigate whether the observed metabolic shift in LC patients was also associated with their smoking status. Untargeted metabolomics profiling was applied for the initial screening of changes in serum metabolic profile between LC and chronic obstructive pulmonary disease (COPD) patients, selected as a non-cancer group. Differences in metabolite profiles between current and former smokers were also tested. Then, targeted metabolomics methods were applied to verify and validate the proposed LC biomarkers. For untargeted metabolomics, a single extraction-dual separation workflow was applied. The samples were analyzed using a liquid chromatograph-high resolution quadrupole time-of-flight mass spectrometer. Next, the selected metabolites were quantified using liquid chromatography-triple-quadrupole mass spectrometry. The acquired data confirmed that patients' stratification based on smoking status impacted the discriminating ability of the identified LC marker candidates. Analyzing a validation set of samples enabled us to determine if the putative LC markers were truly robust. It demonstrated significant differences in the case of four metabolites: allantoin, glutamic acid, succinic acid, and sphingosine-1-phosphate. Our research showed that studying the influence of strong environmental factors, such as tobacco smoking, should be considered in cancer marker research since it reduces the risk of false positives and improves understanding of the metabolite shifts in cancer patients.
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Affiliation(s)
| | - Evangelia Daskalaki
- Unit of Integrative Metabolomics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Craig E Wheelock
- Unit of Integrative Metabolomics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Respiratory Medicine and Allergy, Karolinska University Hospital, Stockholm, Sweden
| | - Mariusz Kasprzyk
- Department of Thoracic Surgery, Poznan University of Medical Sciences, Poznan, Poland
| | - Wojciech Dyszkiewicz
- Department of Thoracic Surgery, Poznan University of Medical Sciences, Poznan, Poland
| | - Marcin Grabicki
- Department of Pulmonology, Allergology and Respiratory Oncology, Poznan University of Medical Sciences, Poznan, Poland
| | - Beata Brajer-Luftmann
- Department of Pulmonology, Allergology and Respiratory Oncology, Poznan University of Medical Sciences, Poznan, Poland
| | - Magdalena Pawlak
- Department of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, Poznan, Poland
| | - Zenon J Kokot
- Faculty of Health Sciences, Calisia University, Kalisz, Poland
| | - Jan Matysiak
- Department of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, Poznan, Poland
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Vieira de Sousa T, Guedes de Pinho P, Pinto J. Metabolomic Signatures of Treatment Response in Bladder Cancer. Int J Mol Sci 2023; 24:17543. [PMID: 38139377 PMCID: PMC10743932 DOI: 10.3390/ijms242417543] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 12/13/2023] [Accepted: 12/15/2023] [Indexed: 12/24/2023] Open
Abstract
Bladder cancer (BC) stands as one of the most prevalent urological malignancies, with over 500 thousand newly diagnosed cases annually. Treatment decisions in BC depend on factors like the risk of recurrence, the type of tumor, and the stage of the disease. While standard therapeutic approaches encompass transurethral resection of the bladder tumor, radical cystectomy, and chemo- or immunotherapy, these methods exhibit limited efficacy in mitigating the aggressive and recurrent nature of bladder tumors. To overcome this challenge, it is crucial to develop innovative methods for monitoring and predicting treatment responses among patients with BC. Metabolomics is gaining recognition as a promising approach for discovering biomarkers. It has the potential to reveal metabolic disruptions that precisely reflect how BC patients respond to particular treatments, providing a revolutionary method to improve accuracy in monitoring and predicting outcomes. In this article, we present a comprehensive review of studies employing metabolomics approaches to investigate the metabolic responses associated with different treatment modalities for BC. The review encompasses an exploration of various models, samples, and analytical techniques applied in this context. Special emphasis is placed on the reported changes in metabolite levels derived from these studies, highlighting their potential as biomarkers for personalized medicine in BC.
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Affiliation(s)
- Tiago Vieira de Sousa
- Associate Laboratory i4HB–Institute for Health and Bioeconomy, University of Porto, 4050-313 Porto, Portugal;
- UCIBIO–Applied Molecular Biosciences Unit, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal
| | - Paula Guedes de Pinho
- Associate Laboratory i4HB–Institute for Health and Bioeconomy, University of Porto, 4050-313 Porto, Portugal;
- UCIBIO–Applied Molecular Biosciences Unit, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal
| | - Joana Pinto
- Associate Laboratory i4HB–Institute for Health and Bioeconomy, University of Porto, 4050-313 Porto, Portugal;
- UCIBIO–Applied Molecular Biosciences Unit, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal
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