Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Emerging biomarkers in breast cancer.

Created on 08 Oct 2026

Authors

Christina Jane Vellan, Kartthigeen Tamel Selvan, Jaime Jacqueline Jayapalan

Published in

Advances in clinical chemistry. Volume 135. Pages 165-226. Epub Sep 21, 2026.

Abstract

Breast cancer (BC) remains the most prevalent malignancy among women and a major contributor to global cancer mortality. Unfortunately, early detection, therapeutic targeting, and prognosis remains challenging due to the profound molecular and clinical heterogeneity in BC. However, recent advances in multi-omics technologies have transformed biomarker discovery by enabling comprehensive interrogation of the genomics, transcriptomics, proteomics, and metabolic networks that drive BC pathogenesis. This chapter reviews key developments in biomarker research and the technological platforms that support their discovery and validation. Innovations in mass spectrometry, single-cell and spatial proteomics, and nanoproteomics have expanded the detectable proteome and markedly improved analytical sensitivity, particularly for low-abundance and heterogeneous tumor signals. Complementary array- and aptamer-based assays further enhance high-throughput, quantitative, and minimally invasive profiling, providing scalable routes toward clinical implementation across diverse BC subtypes. Beyond experimental technologies, the chapter examines emerging computational frameworks that integrate multi-omics data using artificial intelligence and machine learning. These approaches enable multidimensional data interpretation and facilitate the identification of dynamic molecular signatures associated with disease progression, therapeutic response, and resistance. By outlining current methodologies, translational challenges, and future directions, this chapter highlights how converging technological and analytical advances are reshaping the BC biomarker landscape and paving the way toward more precise, adaptive, and clinically actionable diagnostic and therapeutic strategies.

PMID:
42843955
Bibliographic data and abstract were imported from PubMed on 08 Oct 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 11
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement