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An Updated Review on Molecular Biomarkers in Diagnosis and Therapy of Colorectal Cancer

Authors :
Shruthi, N. R.
Makalakshmi, M. K.
Das, Alakesh
Banerjee, Antara
Veronica, Suhanya
Sun-Zhang, Alexander
Zhang, Hong
Anbalagan, Muralidharan
Sun, Xiao-Feng
Pathak, Surajit
Shruthi, N. R.
Makalakshmi, M. K.
Das, Alakesh
Banerjee, Antara
Veronica, Suhanya
Sun-Zhang, Alexander
Zhang, Hong
Anbalagan, Muralidharan
Sun, Xiao-Feng
Pathak, Surajit
Publication Year :
2024

Abstract

Colorectal cancer is one of the most common cancer types worldwide. Since colorectal cancer takes time to develop, its incidence and mortality can be treated effectively if it is detected in its early stages. As a result, non-invasive or invasive biomarkers play an essential role in the early diagnosis of colorectal cancer. Many experimental studies have been carried out to assess genetic, epigenetic, or protein markers in feces, serum, and tissue. It may be possible to find biomarkers that will help with the diagnosis of colorectal cancer by identifying the genes, RNAs, and/or proteins indicative of cancer growth. Recent advancements in the molecular subtypes of colorectal cancer, DNA methylation, microRNAs, long noncoding RNAs, exosomes, and their involvement in colorectal cancer have led to the discovery of numerous new colorectal cancer biomarkers. In small-scale investigations, most biomarkers appear promising. However, large-scale clinical trials are required to validate their effectiveness before routine clinical implementation. Hence, this review focuses on small-scale investigations and results of big data analysis that may provide an overview of the biomarkers for the diagnosis, therapy, and prognosis of colorectal cancer.<br />The authors would like to thank Chettinad Academy of Research and Education, Chennai, India and University Grants Commission (UGC) for providing financial support through Savitribai Jyotirao Phule Fellowship to the first author Nagainallur Ravichandran Shruthi (ID: UGCES-22-GE-TAM-F-SJSGC-9631).

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1416063734
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.2174.0115680096270555231113074003