Metabolomics: A Tool to Envisage Biomarkers in Clinical Interpretation of Cancer.

Q3 Medicine
Medha Bhalla, Roopal Mittal, Manish Kumar, Rohit Bhatia, Ajay Singh Kushwah
{"title":"Metabolomics: A Tool to Envisage Biomarkers in Clinical Interpretation of Cancer.","authors":"Medha Bhalla, Roopal Mittal, Manish Kumar, Rohit Bhatia, Ajay Singh Kushwah","doi":"10.2174/2589977516666230912120412","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Cancer is amongst the most dreadful ailments of modern times, and its impact continuously worsens global health systems. Early diagnosis and suitable therapeutic agents are the prime keys to managing this disease. Metabolomics deals with the complete profiling of cells and physiological phenomena in their organelles, thus helping in keen knowledge of the pathological status of the disease. It has been proven to be one of the best strategies in the early screening of cancer.</p><p><strong>Objective: </strong>This review has covered the recent updates on the promising role of metabolomics in the identification of significant biochemical markers in cancer-prone individuals that could lead to the identification of cancer in the early stages.</p><p><strong>Methods: </strong>The literature was collected through various databases, like Scopus, PubMed, and Google Scholar, with stress laid on the last ten years' publications.</p><p><strong>Conclusion: </strong>It was assessed in this review that early recognition of cancerous growth could be achieved via complete metabolic profiling in association with transcriptomics and proteomics. The outcomes are rooted in various clinical studies that anticipated various biomarkers like tryptophan, phenylalanine, lactates, and different metabolic pathways associated with the Warburg effect. This metabolite imaging has been a fundamental step for the target acquisition, evaluation of predictive cancer biomarkers for early detection, and outlooks into cancer therapy along with critical evaluation. Significant efforts should be made to make this technique most reliable and easy.</p>","PeriodicalId":37008,"journal":{"name":"Current Drug Research Reviews","volume":" ","pages":"333-348"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Drug Research Reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/2589977516666230912120412","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Cancer is amongst the most dreadful ailments of modern times, and its impact continuously worsens global health systems. Early diagnosis and suitable therapeutic agents are the prime keys to managing this disease. Metabolomics deals with the complete profiling of cells and physiological phenomena in their organelles, thus helping in keen knowledge of the pathological status of the disease. It has been proven to be one of the best strategies in the early screening of cancer.

Objective: This review has covered the recent updates on the promising role of metabolomics in the identification of significant biochemical markers in cancer-prone individuals that could lead to the identification of cancer in the early stages.

Methods: The literature was collected through various databases, like Scopus, PubMed, and Google Scholar, with stress laid on the last ten years' publications.

Conclusion: It was assessed in this review that early recognition of cancerous growth could be achieved via complete metabolic profiling in association with transcriptomics and proteomics. The outcomes are rooted in various clinical studies that anticipated various biomarkers like tryptophan, phenylalanine, lactates, and different metabolic pathways associated with the Warburg effect. This metabolite imaging has been a fundamental step for the target acquisition, evaluation of predictive cancer biomarkers for early detection, and outlooks into cancer therapy along with critical evaluation. Significant efforts should be made to make this technique most reliable and easy.

代谢组学:在癌症临床解读中预见生物标记物的工具。
背景:癌症是当代最可怕的疾病之一,其影响不断恶化全球卫生系统。早期诊断和合适的治疗药物是控制这种疾病的首要关键。代谢组学对细胞及其细胞器中的生理现象进行全面剖析,从而有助于敏锐地了解疾病的病理状态。它已被证明是癌症早期筛查的最佳策略之一:本综述介绍了代谢组学在确定癌症易感人群的重要生化标记物方面的最新进展,这些标记物可帮助早期发现癌症:方法:通过Scopus、PubMed和Google Scholar等各种数据库收集文献,重点放在过去十年的出版物上:结论:本综述评估认为,通过完整的代谢分析以及转录组学和蛋白质组学,可以实现癌症生长的早期识别。这些成果源于各种临床研究,这些研究预测了各种生物标志物,如色氨酸、苯丙氨酸、乳酸盐以及与沃伯格效应相关的不同代谢途径。这种代谢物成像是获取目标、评估用于早期检测的预测性癌症生物标志物以及展望癌症治疗和关键评估的基本步骤。为了使这项技术最可靠、最简便,我们应该做出巨大的努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Current Drug Research Reviews
Current Drug Research Reviews Medicine-Psychiatry and Mental Health
CiteScore
3.70
自引率
0.00%
发文量
38
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信