精密医学
仿形(计算机编程)
结直肠癌
医学
癌症医学
计算生物学
肿瘤科
癌症
内科学
计算机科学
生物
病理
操作系统
作者
Neelakanta Sarvashiva Kiran,Chandrashekar Yashaswini,Rahul Maheshwari,Sankha Bhattacharya,Bhupendra G. Prajapati
出处
期刊:ACS pharmacology & translational science
[American Chemical Society]
日期:2024-03-19
卷期号:7 (4): 967-990
被引量:10
标识
DOI:10.1021/acsptsci.4c00008
摘要
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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