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Decoding Cancer Exploring Metabolomics in Oncology

Abstract

Tao Kairov*

Cancer, a complex and multifaceted disease, continues to challenge medical science. Precision oncology strategies guided by multi-omics profiling hold the promise of delivering more effective and tailored treatments, ultimately improving patient survival and quality of life. While metabolomics offers tremendous potential in oncology, several challenges need to be addressed to realize its full clinical impact. Standardization of metabolomic workflows, data analysis pipelines, and reference databases is essential to ensure reproducibility and comparability across studies. Despite significant advancements in understanding its mechanisms and developing treatments, cancer remains one of the leading causes of death worldwide. However, in recent years, a promising field called metabolomics has emerged, offering new insights into cancer biology and potential avenues for improved diagnosis, prognosis, and treatment. In this article, we delve into the fascinating world of metabolomics and its applications in oncology, exploring how it contributes to decoding the intricate nature of cancer.

Avertissement: Ce résumé a été traduit à l'aide d'outils d'intelligence artificielle et n'a pas encore été examiné ni vérifié

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