Advances in the Clinical Application of High-throughput Proteomics

Area of Science:

• Biomedical Science
• Proteomics
• Clinical Translation

Background:

• High-throughput proteomics has advanced significantly since the early 2000s, offering potential for modern medicine.
• Translating these proteomic advancements into clinical applications remains a significant challenge.
• This review focuses on the progress and challenges of high-throughput proteomics in various cancers and COVID-19.

Purpose of the Study:

• To review recent advances in clinical applications of high-throughput proteomics.
• To discuss the challenges, advantages, and future directions of this field.
• To highlight specific applications in breast cancer, bladder cancer, gastric cancer, and other diseases.

Main Methods:

• Review of recent research and clinical applications of high-throughput proteomics.
• Focus on specific cancer types (breast, bladder, laryngeal, gastric, colorectal) and COVID-19.
• Discussion of emerging proteomic technologies like DIA-MS, nanopore-based, 4-D, and SIMS.

Main Results:

• High-throughput proteomics offers advantages such as identifying novel protein networks and synergistic integration with other omics data.
• Challenges include protein variability, statistical modeling limitations, data handling issues, and regulatory requirements.
• Emerging technologies and applications like single-cell proteomics and deep learning show future potential.

Conclusions:

• High-throughput proteomics is poised to revolutionize translational research, clinical practice, and public health.
• Overcoming current challenges is crucial for realizing the full clinical potential of proteomics.
• Continued advancements in technology and data integration will drive future breakthroughs.