Biomarkers in Cancer Detection, Diagnosis, and Prognosis

Authors

• Sreyashi Das, Louisiana State University, Baton Rouge, LA
• Mohan Kumar Dey, Louisiana State University, Baton Rouge, LA
• Ram Devireddy, Louisiana State University, Baton Rouge, LA
• Manas Ranjan Gartia, Louisiana State University, Baton Rouge, LA

Document Type

Article

Publication Date

12-20-2023

Publication Title

Sensors

Abstract

Biomarkers are vital in healthcare as they provide valuable insights into disease diagnosis, prognosis, treatment response, and personalized medicine. They serve as objective indicators, enabling early detection and intervention, leading to improved patient outcomes and reduced costs. Biomarkers also guide treatment decisions by predicting disease outcomes and facilitating individualized treatment plans. They play a role in monitoring disease progression, adjusting treatments, and detecting early signs of recurrence. Furthermore, biomarkers enhance drug development and clinical trials by identifying suitable patients and accelerating the approval process. In this review paper, we described a variety of biomarkers applicable for cancer detection and diagnosis, such as imaging-based diagnosis (CT, SPECT, MRI, and PET), blood-based biomarkers (proteins, genes, mRNA, and peptides), cell imaging-based diagnosis (needle biopsy and CTC), tissue imaging-based diagnosis (IHC), and genetic-based biomarkers (RNAseq, scRNAseq, and spatial transcriptomics).

First Page

1

Last Page

55

DOI

10.3390/s24010037

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Das, Sreyashi; Dey, Mohan Kumar; Devireddy, Ram; and Gartia, Manas Ranjan, "Biomarkers in Cancer Detection, Diagnosis, and Prognosis" (2023). LSU-LCMC Cancer Center Faculty Publications. 188.
https://digitalscholar.lsuhsc.edu/llcc_facpubs/188
10.3390/s24010037