Decreased green autofluorescence of lung parenchyma is a biomarker for lung cancer tissues

J Biophotonics. 2022 Aug;15(8):e202200072. doi: 10.1002/jbio.202200072. Epub 2022 May 14.

Abstract

It is highly valuable to discover novel biomarkers for differentiating noninvasively the cancerous tissues from the nonneoplastic tissues of lung cancer. In current study, we determined the green autofluorescence (AF) of the pulmonary parenchyma of lung cancer patients, indicating that decreased green AF of pulmonary parenchyma may be the biomarker of this type: First, the green AF intensity of the cancerous tissues was significantly lower than that of the nonneoplastic tissues of the lung cancer patients; second, the green AF intensity of the nonneoplastic tissues of the lung squamous cell carcinoma was significantly lower than that of the lung adenocarcinoma; and third, "decreased green AF intensity" could be used for differentiating the nonneoplastic tissues and the cancerous tissues. Collectively, our study has suggested that decreased green AF of lung parenchyma is a biomarker for differentiating the cancerous tissues from the nonneoplastic tissues of lung cancer.

Keywords: autofluorescence; diagnosis; lung cancer; pulmonary parenchyma.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • Carcinoma, Non-Small-Cell Lung*
  • Carcinoma, Squamous Cell* / diagnostic imaging
  • Humans
  • Lung / diagnostic imaging
  • Lung Neoplasms* / diagnostic imaging
  • Lung Neoplasms* / pathology

Substances

  • Biomarkers