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Published in: Journal of Cancer Research and Clinical Oncology 8/2015

01-08-2015 | Original Article – Cancer Research

Osteopontin is a novel prognostic biomarker in early-stage non-small cell lung cancer after surgical resection

Authors: Ci Hui Yan, Mengguo Lv, Hui Li, Xinmiao Song, Fan Yan, Shui Cao, Xiubao Ren

Published in: Journal of Cancer Research and Clinical Oncology | Issue 8/2015

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Abstract

Purposes

Osteopontin (OPN), an extracellular matrix-secreted phosphorylated glycoprotein, has been reported overexpressed in many solid tumors. As an important part of lung cancer, the high recurrence of non-small cell lung cancer (NSCLC) also attracted great attention of scientists.

Methods

In this study, we investigated the expression of OPN and the relationship with prognosis of NSCLC patients. We measured the expression of OPN among 163 NSCLC samples by immunohistochemical method and compared the expression of these 28 matched cDNA between tumor and peritumoral tissue by real-time polymerase chain reaction.

Results

We demonstrated that the percentages of positive OPN expression is 66.8 % and OPN expression in tumor site was much higher than the tissue adjacent to carcinoma (p = 0.0046). By further analysis, we found that OPN expression was significantly correlated with poor prognosis of NSCLC. Moreover, for early-stage patients, OS and DFS rates of OPN (−) group were significantly higher than OPN (+) group. For advanced-stage patients, OPN expression was only associated with OS rates.

Conclusions

These results suggest that OPN is commonly expressed in NSCLC and may guide the evaluation of prognosis with NSCLC, especially for early-stage patients.
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Metadata
Title
Osteopontin is a novel prognostic biomarker in early-stage non-small cell lung cancer after surgical resection
Authors
Ci Hui Yan
Mengguo Lv
Hui Li
Xinmiao Song
Fan Yan
Shui Cao
Xiubao Ren
Publication date
01-08-2015
Publisher
Springer Berlin Heidelberg
Published in
Journal of Cancer Research and Clinical Oncology / Issue 8/2015
Print ISSN: 0171-5216
Electronic ISSN: 1432-1335
DOI
https://doi.org/10.1007/s00432-014-1902-1

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