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管理这种疾病的关键。代谢组学涉及细胞和生理现象在其细胞器中的完整分析，从而有助于深入了解疾病的病理状态。已经证明在癌症早期筛查中，代谢组学是最佳策略之一。 本综述涵盖了代谢组学在癌症易感个体中显著生化标志物鉴定方面的最新进展。文献资料通过Scopus、PubMed和Google Scholar等各种数据库收集，重点放在过去十年的出版物上。本综述评估了通过与转录组学和蛋白质组学相结合的完整代谢谱分析可以实现对癌症生长的早期识别。结果基于多个临床研究，预测出多种生物标志物，如色氨酸、苯丙氨酸、乳酸以及与华尔堡效应相关的不同代谢途径。这种代谢物成像已经成为获得治疗靶点、评估早期癌症生物标志物和对癌症治疗的展望以及进行关键评估的基础步骤。应该采取重要努力使该技术更可靠和易于操作。版权所有©Bentham Science Publishers；如有任何疑问，请发送电子邮件至epub@benthamscience.net。

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.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.The literature was collected through various databases, like Scopus, PubMed, and Google Scholar, with stress laid on the last ten years' publications.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.Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.