CD5L as an Extracellular Vesicle-Derived Biomarker for Liquid Biopsy of Lung Cancer
Eun-Sook Choi,
Hasan Al Faruque,
Jung-Hee Kim,
Kook Jin Kim,
Jin Eun Choi,
Bo A. Kim,
Bora Kim,
Ye Jin Kim,
Min Hee Woo,
Jae Yong Park,
Keun Hur,
Mi-Young Lee,
Dong Su Kim,
Shin Yup Lee,
Eunjoo Kim
Affiliations
Eun-Sook Choi
Division of Bi-Fusion Research, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Techno-jungangdaero 333, Dague 42988, Korea
Hasan Al Faruque
Division of Bi-Fusion Research, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Techno-jungangdaero 333, Dague 42988, Korea
Jung-Hee Kim
Division of Electronic Information System Research, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Techno-Jungangdaero 333, Dague 42988, Korea
Kook Jin Kim
Genomine Research Division, Genomine Inc., Pohang Technopark, Pohang 37668, Korea
Jin Eun Choi
Department of Biochemistry, School of Medicine, Kyungpook National University, Daegu 41944, Korea
Bo A. Kim
Genomine Research Division, Genomine Inc., Pohang Technopark, Pohang 37668, Korea
Bora Kim
Genomine Research Division, Genomine Inc., Pohang Technopark, Pohang 37668, Korea
Ye Jin Kim
Genomine Research Division, Genomine Inc., Pohang Technopark, Pohang 37668, Korea
Min Hee Woo
Genomine Research Division, Genomine Inc., Pohang Technopark, Pohang 37668, Korea
Jae Yong Park
Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu 41944, Korea
Keun Hur
Department of Biochemistry, School of Medicine, Kyungpook National University, Daegu 41944, Korea
Mi-Young Lee
Department of Medical Science, Soonchunhyang University, Asan 31538, Korea
Dong Su Kim
Genomine Research Division, Genomine Inc., Pohang Technopark, Pohang 37668, Korea
Shin Yup Lee
Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu 41944, Korea
Eunjoo Kim
Division of Electronic Information System Research, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Techno-Jungangdaero 333, Dague 42988, Korea
Cancer screening and diagnosis can be achieved by analyzing specific molecules within serum-derived extracellular vesicles (EVs). This study sought to profile EV-derived proteins to identify potential lung cancer biomarkers. EVs were isolated from 80 serum samples from healthy individuals and cancer patients via polyethylene glycol (PEG)-based precipitation and immunoaffinity separation using antibodies against CD9, CD63, CD81, and EpCAM. Proteomic analysis was performed using 2-D gel electrophoresis and matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI–TOF MS). The expression of proteins that were differentially upregulated in the EVs or tissue of lung cancer samples was validated by Western blotting. The area under the curve (AUC) was calculated to assess the predictability of each differentially expressed protein (DEP) for lung cancer. A total of 55 upregulated protein spots were selected, seven of which (CD5L, CLEC3B, ITIH4, SERFINF1, SAA4, SERFINC1, and C20ORF3) were found to be expressed at high levels in patient-derived EVs by Western blotting. Meanwhile, only the expression of EV CD5L correlated with that in cancer tissues. CD5L also demonstrated the highest AUC value (0.943) and was found to be the core regulator in a pathway related to cell dysfunction. Cumulatively, these results show that EV-derived CD5L may represent a potential biomarker—detected via a liquid biopsy—for the noninvasive diagnosis of lung cancer.