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Research Article

Correlation of a Serological Proteome and Lung Cancer Prognosis

Yongzhen Zhang1, Wenyan Wu1, Fang Su1, Zhaohui Ma1, Yi Xu1, Yuan Wang1, Ling Cao1, Ruifeng Zhang1, Xinchen Wang1, Guodong Li1, Jianzhong Ma2,3 and Christopher I Amos4*
1Department of Epidemiology, Shanxi Tumor Hospital, Zhigongxin Street 3, Xinghualing District, 030013, Taiyuan, Shanxi Province, China
2Biostatistics/Epidemiology/Research Design Core, Center for Clinical and Translational Sciences, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
3Division of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
4Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
Corresponding Author : Christopher I Amos
Department of Community and Family Medicine
Geisel School of Medicine, Dartmouth College
Lebanon, NH 03766, USA
Tel: 603-653-3615
E-mail: [email protected]
Received June 17, 2013; Accepted July 11, 2014; Published July 15, 2014
Citation: Zhang Y, Wu W, Su F, Ma Z, Xu Y, et al.(2014) Correlation of a Serological Proteome and Lung Cancer Prognosis. Transcriptomics 2:103. doi: 10.4172/2329-8936.1000103
Copyright: © 2014 Zhang Y, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Abstract Background To study the correlation of the lost goodwill target (LGT) proteome and the prognosis in patients with lung cancer and explore whether the LGT proteome can be used as an accurate and reliable prognostic biomarker for lung cancer. Methods One hundred eighty eight patients with lung cancer were enrolled in the Shanxi Cancer Hospital, China. For each patient, LGT test in serum was performed using the technique SELDITOF-MS after the pathological diagnosis. Kaplan- Meier survival analysis, Log-rank test and multivariate Cox proportional hazards regression analysis were performed to explore the influence of LGT different expression on the prognosis. Results The median survival times were 865 and 514 days in the LGT negative and LGT positive groups, respectively. There was statistically significant difference between the two survival curves, and the survival rate of the LGT negative group was higher than that of the LGT positive (χ2=5.757, P=0.016). Multivariate Cox proportional hazards regression analysis confirmed that the LGT proteome (RR=1.5, 95% CI 1.075~2.196, P=0.019) predicted for death. Conclusion Our results showed that the prognosis of lung cancer is related to LGT proteome expression, suggesting that LGT may be regarded as one of the serological protein that signs a poor prognosis in lung cancer and has important clinical significance in predicting illness development.

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