Evolving stratification and biomarker discovery in cancer research with technological advancement of proteomics: 35 years and counting

  • 0Department of Genetics, University of Delhi South Campus, New Delhi, 110021, India.

|

|

Summary

This summary is machine-generated.

This review explores mass spectrometry-based proteomics to understand cancer progression and develop targeted therapies. It highlights advancements in biomarker discovery and single-cell proteomics for improved cancer treatment strategies.

Area Of Science

  • Biochemistry
  • Molecular Biology
  • Oncology

Background

  • The proteome, a key product of cellular machinery, is crucial for predicting cancer behavior and progression.
  • Translational research in oncology heavily relies on protein-based molecular therapies and patient stratification.
  • Understanding cancer pathology requires identifying sensitive biomarkers and elucidating signaling pathway rewiring.

Purpose Of The Study

  • To provide a comprehensive overview of mass spectrometry-based proteomics methods for studying the proteome and post-translational modifications.
  • To summarize the utility of these methods in cancer research, including biomarker discovery and understanding therapy resistance.
  • To discuss the application of single-cell proteomics in analyzing the tumor microenvironment and current methodological challenges.

Main Methods

  • Review of mass spectrometry-based proteomics techniques.
  • Discussion of various labeling strategies for proteomic analysis.
  • Exploration of single-cell proteomics for spatial analysis.

Main Results

  • Mass spectrometry-based proteomics has evolved significantly, offering insights into cancer processes.
  • These methods aid in decoding novel biomarkers and identifying drivers of therapy resistance.
  • Single-cell proteomics enhances the understanding of tumor microenvironment spatial attributes.

Conclusions

  • Proteomics is vital for advancing cancer therapy through biomarker discovery and understanding resistance mechanisms.
  • Mass spectrometry-based methods are continuously improving for comprehensive proteomic analysis.
  • Further research is needed to address current challenges in proteomic methodologies for cancer research.

Related Concept Videos

Proteomics 01:33

9.3K

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...

Tumor Progression 02:07

7.2K

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...

Combination Therapies and Personalized Medicine 02:50

5.9K

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...

Cancer Survival Analysis 01:21

645

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...