Identification of a Lung Cancer Biomarker Using a Cancer Cell Line and Screening of Olfactory Receptors for Biomarker Detection

Sang Won Cho, Hwi Jin Ko, Tai Hyun Park

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Several studies investigated the development of a non-invasive and early diagnostic method for cancer. Recently, the volatile organic compounds (VOCs) exhaled from cancer patients have been shown to act as a potential biomarker for cancer. However, the gas profile of breath is highly variable and not conducive to identification of biomarkers accurately. Accordingly, we identified a cancer-specific VOC as a biomarker using an in vitro cancer system in order to exclude the variables from patient condition. VOCs were collected from the headspace gas of lung cancer cell line (SK-MES) and normal lung cell line (MRC-5), followed by analysis using solid-phase microextraction (SPME)-GC/MS. As a result, 2-ethyl-1-hexanol was detected from headspace gas of SK-MES and decided as a potential biomarker for lung cancer. By screening human olfactory receptor libraries to detect a lung cancer biomarker, human olfactory receptor 4D11P (hOR4D11P) was identified as a receptor specific for 2-ethyl-1-hexanol and expressed heterologously in HEK293 cells. Additionally, we generated nanovesicles containing hOR4D11P from HEK293 cells and confirmed the expression and functionality of hOR4D11P in nanovesicles.

Original languageEnglish
Pages (from-to)55-62
Number of pages8
JournalBiotechnology and Bioprocess Engineering
Volume26
Issue number1
DOIs
StatePublished - Jan 2021

Bibliographical note

Publisher Copyright:
© 2021, The Korean Society for Biotechnology and Bioengineering and Springer.

Keywords

  • GC/MS
  • human olfactory receptor
  • lung cancer
  • solid-phase microextraction
  • volatile organic compound

Fingerprint

Dive into the research topics of 'Identification of a Lung Cancer Biomarker Using a Cancer Cell Line and Screening of Olfactory Receptors for Biomarker Detection'. Together they form a unique fingerprint.

Cite this