The Role of Multi-Omics Data Integration in Identifying Early Colon Cancer Biomarkers

Shufeng  Han<sup>1,2</sup>; Shipeng  Shang<sup>1</sup>

Feature Review

The Role of Multi-Omics Data Integration in Identifying Early Colon Cancer Biomarkers

Shufeng Han^1,2

, Shipeng Shang¹

1 Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, 408099, Chongqing, China
2 School of Basic Medicine, Qingdao University, Qingdao, 266073, Shangdong, China

Author

Correspondence author
International Journal of Molecular Medical Science, 2024, Vol. 14, No. 5
Received: 26 Jul., 2024 Accepted: 02 Sep., 2024 Published: 15 Sep., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The integration of multi-omics data has emerged as a powerful approach to identify early biomarkers for colon cancer, offering a comprehensive understanding of the molecular mechanisms underlying cancer progression. This study explores the methodologies and applications of multi-omics data integration in cancer research. By combining genomics, transcriptomics, proteomics, and epigenomics, researchers can uncover novel biomarkers that are crucial for early diagnosis, prognosis, and personalized treatment of colon cancer. The study highlights various computational tools and frameworks that have been developed to facilitate the integration of diverse omics data types, emphasizing their effectiveness in improving the accuracy of cancer biomarker identification. Additionally, this study discusses the challenges and future directions in the field, aiming to provide a roadmap for translating multi-omics discoveries into clinical practice. The integration of multi-omics data not only enhances our understanding of cancer biology but also holds promise for the development of precision medicine strategies tailored to individual patients.

Keywords

Colon cancer; Multi-omics; Data integration; Biomarkers; Early diagnosis; Prognosis; Precision medicine

(The advance publishing of the abstract of this manuscript does not mean final published, the end result whether or not published will depend on the comments of peer reviewers and decision of our editorial board.)

The complete article is available as a Provisional PDF if requested. The fully formatted PDF and HTML versions are in production.

International Journal of Molecular Medical Science

• Volume 14

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