Deciphering a proteomic signature for the early detection of breast cancer from breast milk: the role of quantitative proteomics

2Citations
Citations of this article
28Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Introduction: Breast cancer is one of the most prevalent cancers among women in the United States. Current research regarding breast milk has been focused on the composition and its role in infant growth and development. There is little information about the proteins, immune cells, and epithelial cells present in breast milk which can be indicative of the emergence of BC cells and tumors Areas covered: We summarize all breast milk studies previously done in our group using proteomics. These studies include 1D-PAGE and 2D-PAGE analysis of breast milk samples, which include within woman and across woman comparisons to identify dysregulated proteins in breast milk and the roles of these proteins in both the development of BC and its diagnosis. Our projected outlook for the use of milk for cancer detection is also discussed. Expert Opinion: Analyzing the samples by multiple methods allows one to interrogate a set of samples with various biochemical methods that complement each other, thus providing a more comprehensive proteome. Complementing methods like 1D-PAGE, 2D-PAGE, in-solution digestion and proteomics analysis with PTM-omics, peptidomics, degradomics, or interactomics will provide a better understanding of the dysregulated proteins, but also the modifications or interactions between these proteins.

Cite

CITATION STYLE

APA

Whitham, D., Bruno, P., Haaker, N., Arcaro, K. F., Pentecost, B. T., & Darie, C. C. (2024). Deciphering a proteomic signature for the early detection of breast cancer from breast milk: the role of quantitative proteomics. Expert Review of Proteomics. Taylor and Francis Ltd. https://doi.org/10.1080/14789450.2024.2320158

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free