Semantic Scholar Open Access 2017 17 sitasi

Calsyntenin-1, clusterin and neutrophil gelatinase-associated lipocalin are candidate serological biomarkers for lung adenocarcinoma

Yen Chu Yu-Heng Lai Ming‐Cheng Lee Yu-Jung Yeh Yao-Kuang Wu +3 lainnya

Abstrak

It has been drawn attention that secreted proteins with signal peptide from cancer cells provide new potential biomarkers of cancer. In this study, three lung adenocarcinoma cell lines and serum samples from 20 patients were used for identifying potential serologic tumor biomarker with proteomic and bioinformatics approaches. One-dimensional electrophoresis, and identified with mass spectrometry and database research were performed. We found17 secreted proteins in common, while another 17 proteins with signal peptide were identified in all three lung adenocarcinoma cell lines alone with patient samples. With matching these two groups of identified proteins, calsyntenin-1 (CLSTN1), clusterin (CLU) and neutrophil gelatinase-associated lipocalin (NGAL) were found highly secreted from both cell lines and serum with unique signal peptides. Therefore, in our study, we demonstrated that cancer cells secret specific proteins to the environment that may serve as unique markers for cancer diagnosis. To combination of proteomic study with bioinformatic prediction on signal peptides, higher expression level of CLSTN1, CLU and NGAL were found and may be new solid serologic biomarkers for patients with lung adenocarcinoma.

Topik & Kata Kunci

Penulis (8)

Y

Yen Chu

Y

Yu-Heng Lai

M

Ming‐Cheng Lee

Y

Yu-Jung Yeh

Y

Yao-Kuang Wu

W

Wayne Tsao

C

Chun-Yao Huang

S

Semon Wu

Format Sitasi

Chu, Y., Lai, Y., Lee, M., Yeh, Y., Wu, Y., Tsao, W. et al. (2017). Calsyntenin-1, clusterin and neutrophil gelatinase-associated lipocalin are candidate serological biomarkers for lung adenocarcinoma. https://doi.org/10.18632/oncotarget.22438

Akses Cepat

Lihat di Sumber doi.org/10.18632/oncotarget.22438
Informasi Jurnal
Tahun Terbit
2017
Bahasa
en
Total Sitasi
17×
Sumber Database
Semantic Scholar
DOI
10.18632/oncotarget.22438
Akses
Open Access ✓