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Advances in Precision Medicine Approaches for Colorectal Cancer: From Molecular Profiling to Targeted Therapies

Overview
Specialty Biochemistry
Date 2024 Apr 18
PMID 38633600
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Abstract

Precision medicine is transforming colorectal cancer treatment through the integration of advanced technologies and biomarkers, enhancing personalized and effective disease management. Identification of key driver mutations and molecular profiling have deepened our comprehension of the genetic alterations in colorectal cancer, facilitating targeted therapy and immunotherapy selection. Biomarkers such as microsatellite instability (MSI) and DNA mismatch repair deficiency (dMMR) guide treatment decisions, opening avenues for immunotherapy. Emerging technologies such as liquid biopsies, artificial intelligence, and machine learning promise to revolutionize early detection, monitoring, and treatment selection in precision medicine. Despite these advancements, ethical and regulatory challenges, including equitable access and data privacy, emphasize the importance of responsible implementation. The dynamic nature of colorectal cancer, with its tumor heterogeneity and clonal evolution, underscores the necessity for adaptive and personalized treatment strategies. The future of precision medicine in colorectal cancer lies in its potential to enhance patient care, clinical outcomes, and our understanding of this intricate disease, marked by ongoing evolution in the field. The current reviews focus on providing in-depth knowledge on the various and diverse approaches utilized for precision medicine against colorectal cancer, at both molecular and biochemical levels.

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References
1.
Zhong J, Sun Z, Li S, Yang L, Cao Y, Bao J . Immune checkpoint blockade therapy for BRAF mutant metastatic colorectal cancer: the efficacy, new strategies, and potential biomarkers. Discov Oncol. 2023; 14(1):94. PMC: 10258190. DOI: 10.1007/s12672-023-00718-y. View

2.
Cartry J, Bedja S, Boileve A, Mathieu J, Gontran E, Annereau M . Implementing patient derived organoids in functional precision medicine for patients with advanced colorectal cancer. J Exp Clin Cancer Res. 2023; 42(1):281. PMC: 10598932. DOI: 10.1186/s13046-023-02853-4. View

3.
Satam H, Joshi K, Mangrolia U, Waghoo S, Zaidi G, Rawool S . Next-Generation Sequencing Technology: Current Trends and Advancements. Biology (Basel). 2023; 12(7). PMC: 10376292. DOI: 10.3390/biology12070997. View

4.
Pasquale E . Eph receptors and ephrins in cancer progression. Nat Rev Cancer. 2023; 24(1):5-27. PMC: 11015936. DOI: 10.1038/s41568-023-00634-x. View

5.
DeGroat W, Abdelhalim H, Patel K, Mendhe D, Zeeshan S, Ahmed Z . Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine. Sci Rep. 2024; 14(1):1. PMC: 10762256. DOI: 10.1038/s41598-023-50600-8. View