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Serum reactive oxygen species modulator 1 (Romo1) as a potential diagnostic biomarker for non-small cell lung cancer

Authors
Lee, Seung HyeunLee, Ji SungLee, Eun JooMin, Kyung HoonHur, Gyu YoungLee, Seung HeonLee, Sung YongKim, Je HyeongLee, Sang YeubShin, CholShim, Jae JeongKang, Kyung HoIn, Kwang Ho
Issue Date
8월-2014
Publisher
ELSEVIER IRELAND LTD
Keywords
Non-small cell lung cancer; Serum; Biomarker; Reactive oxygen species; Oxidative stress; Diagnosis
Citation
LUNG CANCER, v.85, no.2, pp.175 - 181
Indexed
SCIE
SCOPUS
Journal Title
LUNG CANCER
Volume
85
Number
2
Start Page
175
End Page
181
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/97882
DOI
10.1016/j.lungcan.2014.05.023
ISSN
0169-5002
Abstract
Objectives: Reactive oxygen species modulator 1 (Romo1) is a novel protein that localizes in the mitochondrial membrane and induces mitochondrial reactive oxygen species (ROS) generation. Romo1 is increased in most cancer cell lines and is related with resistance to chemotherapy in vitro. However, data on its expression in patients with malignancy is very limited. We evaluated the usefulness of serum Romo1 as a potential diagnostic biomarker in non-mall cell lung cancer (NSCLC). Materials and methods: We initially assessed the expression of Romo1 using Western blotting and enzyme-linked immunosorbent assay in paired lung tissue and serum specimen from NSCLC patients who underwent surgical resection. Then we evaluated and compared serum Romo1 level in a healthy population (n = 55), patients with benign lung diseases (n = 63) and NSCLC patients (n = 58). We explored the correlation between Romo1 expression and clinical parameters and assessed diagnostic performance of serum Romo1 for NSCLC using receiver operating characteristic (ROC) curve analysis. Results: Romo1 expression in lung cancer tissues was significantly increased compared with non-tumorous tissues (p < 0.001). Romo1 expression in cancer tissues positively correlated with that in serum (r = 0.68, p = 0.009). Serum Romo1 level in NSCLC patients significantly increased compared with that of healthy population or patients with benign lung diseases (both p < 0.001). ROC curve analysis using an optimal cutoff value of 329.7 pg/mL revealed sensitivity and specificity for the diagnosis of NSCLC of 81.9% and 89.8%, respectively, with an area under the curve of 0.847 (95% confidence interval: 0.789-0.892, p < 0.001). Serum Romo1 level was not related with age, gender, smoking status, tumor differentiation, histological type or stage. Conclusions: Serum Romo1 discriminated NSCLC patients from the population without cancer with considerable sensitivity and specificity. Serum Romol could be a potential diagnostic biomarker for NSCLC. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
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