The Advent of Salivary Breast Cancer Biomarker Detection Using Affinity Sensors

Sensors (Basel). 2019 May 23;19(10):2373. doi: 10.3390/s19102373.

Abstract

Breast Cancer is one of the world's most notorious diseases affecting two million women in 2018 worldwide. It is a highly heterogeneous disease, making it difficult to treat. However, its linear progression makes it a candidate for early screening programs, and the earlier its detection the higher the chance of recovery. However, one key hurdle for breast cancer screening is the fact that most screening techniques are expensive, time-consuming, and cumbersome, making them impractical for use in several parts of the world. One current trend in breast cancer detection has pointed to a possible solution, the use of salivary breast cancer biomarkers. Saliva is an attractive medium for diagnosis because it is readily available in large quantities, easy to obtain at low cost, and contains all the biomarkers present in blood, albeit in lower quantities. Affinity sensors are devices that detect molecules through their interactions with biological recognition molecules. Their low cost, high sensitivity, and selectivity, as well as rapid detection time make them an attractive alternative to traditional means of detection. In this review article, we discuss the current status of breast cancer diagnosis, its salivary biomarkers, as well as the current trends in the development of affinity sensors for their detection.

Keywords: Breast Cancer (BC); Diagnosis; affinity biosensors (AS); enzyme-linked immunosorbent assay (ELISA).

Publication types

  • Review

MeSH terms

  • Autoantibodies / metabolism
  • Biomarkers, Tumor / analysis
  • Biomarkers, Tumor / metabolism*
  • Breast Neoplasms / diagnosis*
  • Breast Neoplasms / mortality
  • Breast Neoplasms / pathology
  • Female
  • Humans
  • Mammography
  • Metabolomics
  • MicroRNAs / metabolism
  • Mucins / metabolism
  • Saliva / chemistry
  • Saliva / metabolism*

Substances

  • Autoantibodies
  • Biomarkers, Tumor
  • MicroRNAs
  • Mucins