Journal of Pathology and Translational Medicine

Original Articles

Aquaporin 1 Is an Independent Marker of Poor Prognosis in Lung Adenocarcinoma: Sumi Yun, Ping-Li Sun, Yan Jin, Hyojin Kim, Eunhyang Park, Soo Young Park, Kyuho Lee, Kyoungyul Lee, Jin-Haeng Chung; J Pathol Transl Med. 2016;50(4):251-257. Published online June 7, 2016; DOI: https://doi.org/10.4132/jptm.2016.03.30

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Background
Aquaporin 1 (AQP1) overexpression has been shown to be associated with uncontrolled cell replication, invasion, migration, and tumor metastasis. We aimed to evaluate AQP1 expression in lung adenocarcinomas and to examine its association with clinicopathological features and prognostic significance. We also investigated the association between AQP1 overexpression and epithelial-mesenchymal transition (EMT) markers.
Methods
We examined AQP1 expression in 505 cases of surgically resected lung adenocarcinomas acquired at the Seoul National University Bundang Hospital from 2003 to 2012. Expression of AQP1 and EMT-related markers, including Ecadherin and vimentin, were analyzed by immunohistochemistry and tissue microarray.
Results
AQP1 overexpression was associated with several aggressive pathological parameters, including venous invasion, lymphatic invasion, and tumor recurrence. AQP1 overexpression tended to be associated with higher histological grade, advanced pathological stage, and anaplastic lymphoma kinase (ALK) translocation; however, these differences were not statistically significant. In addition, AQP1 overexpression positively correlated with loss of E-cadherin expression and acquired expression of vimentin. Lung adenocarcinoma patients with AQP1 overexpression showed shorter progression- free survival (PFS, 46.1 months vs. 56.2 months) compared to patients without AQP1 overexpression. Multivariate analysis confirmed that AQP1 overexpression was significantly associated with shorter PFS (hazard ratio, 1.429; 95% confidence interval, 1.033 to 1.977; p=.031).
Conclusions
AQP1 overexpression was thereby concluded to be an independent factor of poor prognosis associated with shorter PFS in lung adenocarcinoma. These results suggested that AQP1 overexpression might be considered as a prognostic biomarker of lung adenocarcinoma.

Citations

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Aquaporin 3 facilitates tumor growth in pancreatic cancer by modulating mTOR signaling
Xunwei Huang, Li Huang, Minhua Shao
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Prognostic implication of aquaporin 1 overexpression in resected lung adenocarcinoma†
Guido Bellezza, Jacopo Vannucci, Fortunato Bianconi, Giulio Metro, Rachele Del Sordo, Marco Andolfi, Ivana Ferri, Paola Siccu, Vienna Ludovini, Francesco Puma, Angelo Sidoni, Lucio Cagini
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Expression of c-MET in Invasive Meningioma: Sumi Yun, Jae Moon Koh, Kyu Sang Lee, An Na Seo, Kyung Han Nam, Gheeyoung Choe; J Pathol Transl Med. 2015;49(1):44-51. Published online January 15, 2015; DOI: https://doi.org/10.4132/jptm.2014.10.13

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Abstract PDF

Background
Meningiomas show high recurrence rates even after curative tumor removal. The invasiveness of meningiomas may contribute to their high recurrence rates. Recently, c-MET and hepatocyte growth factor (HGF) have been reported to be involved in cancer invasion. Methods: We examined the immunohistochemical expression of c-MET and HGF in 100 cases of patients with meningiomas who have undergone complete tumor removal. Results: c-MET^-High and HGFHigh were found in 17% and 13% of meningiomas, respectively. Brain invasion was observed in 17.6% of c-MET^-High meningiomas, but in only 2.4% of c-MET^-Low meningiomas (p=.033). Bone/ soft tissue invasion was observed in 23.5% of c-MET^-High meningiomas and in 9.6% of c-MET^-Low meningiomas (p=.119). HGF^-High did not show statistical association with brain invasion or bone/ soft tissue invasion. c-MET^-High demonstrated shorter recurrence-free survival (RFS, 93.5±8.2 months vs 96.1±1.9 months); however, this difference was not statistically significant (p=.139). There was no association of HGF^-High with RFS. Conclusions: This study demonstrates that c- MET^-High is associated with brain invasion of meningiomas, and that c-MET expression may be a useful predictive marker for meningioma recurrence. Patients with invasive meningiomas with high expressions of c-MET may be good candidates for targeted therapy using c-MET inhibitors.

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Immunohistochemical Classification of Primary and Secondary Glioblastomas: Kyu Sang Lee, Gheeyoung Choe, Kyung Han Nam, An Na Seo, Sumi Yun, Kyung Ju Kim, Hwa Jin Cho, Sung Hye Park; Korean J Pathol. 2013;47(6):541-548. Published online December 24, 2013; DOI: https://doi.org/10.4132/KoreanJPathol.2013.47.6.541

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Abstract PDF

Background

Glioblastomas may develop de novo (primary glioblastomas, P-GBLs) or through progression from lower-grade astrocytomas (secondary glioblastomas, S-GBLs). The aim of this study was to compare the immunohistochemical classification of glioblastomas with clinically determined P-GBLs and S-GBLs to identify the best combination of antibodies for immunohistochemical classification.

Methods

We evaluated the immunohistochemical expression of epidermal growth factor receptor (EGFR), p53, and isocitrate dehydrogenase 1 (IDH-1) in 150 glioblastoma cases.

Results

According to clinical history, the glioblastomas analyzed in this study consisted of 146 P-GBLs and 4 S-GBLs. Immunohistochemical expression of EGFR, p53, and IDH-1 was observed in 62.6%, 49.3%, and 11.1%, respectively. Immunohistochemical profiles of EGFR(+)/p53(-), IDH-1(-)/EGFR(+)/p53(-), and EGFR(-)/p53(+) were noted in 41.3%, 40.2%, and 28.7%, respectively. Expression of IDH-1 and EGFR(-)/p53(+) was positively correlated with young age. The typical immunohistochemical features of S-GBLs comprised IDH-1(+)/EGFR(-)/p53(+), and were noted in 3.6% of clinically P-GBLs. The combination of IDH-1(-) or EGFR(+) was the best set of immunohistochemical stains for identifying P-GBLs, whereas the combination of IDH-1(+) and EGFR(-) was best for identifying S-GBLs.

Conclusions

We recommend a combination of IDH-1 and EGFR for immunohistochemical classification of glioblastomas. We expect our results to be useful for determining treatment strategies for glioblastoma patients.

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