Literature DB >> 26870276

CCR7 as a predictive biomarker associated with computed tomography for the diagnosis of lymph node metastasis in bladder carcinoma.

Jinbo Chen1, Y U Cui1, Longfei Liu1, Chao Li1, Yunhua Tang1, X U Zhou1, Lin Qi1, Xiongbing Zu1.   

Abstract

The aim of the present study was to investigate whether the expression levels of CC-chemokine receptor 7 (CCR7) combined with computed tomography (CT) was associated with lymph node metastasis in bladder transitional cell carcinoma (BTCC). For this purpose, 115 cases of BTCC were analyzed at the Department of Urology of Xiangya Hospital, Central South University (Changsha, China). Preoperative CT scans of abdomen and pelvis, immunohistochemistry of CCR7 expression in the tumor specimens and pathological findings for lymph node metastasis were assessed. In addition, the sensitivity, specificity and accuracy of CCR7 and CT for the diagnosis of lymph node metastasis in BTCC were evaluated separately and jointly. The expression levels of CCR7 were observed to be significantly higher in BTCC than in normal controls (P<0.01). Multivariate analysis indicated that the overexpression of CCR7 was an independent predictor for lymph node metastasis in BTCC (P<0.05). The sensitivity, specificity and accuracy of CCR7 combined with CT scan for the diagnosis of lymph node metastasis in BTCC were 92.3, 83.6 and 70.0%, respectively. By contrast, the sensitivity, specificity and accuracy of CCR7 alone were 88.1, 69.9 and 76.5%, respectively, while the sensitivity, specificity and accuracy of CT alone were 52.4, 79.5 and 69.6%, respectively. The results of the present study indicated that CCR7 is an independent predictor of lymph node metastasis in BTCC. Therefore, the use of CCR7 combined with CT may improve the accuracy of the diagnosis of lymph node metastasis in BTCC.

Entities:  

Keywords:  CCR7; bladder carcinoma; computed tomography; lymph node metastasis

Year:  2015        PMID: 26870276      PMCID: PMC4727088          DOI: 10.3892/ol.2015.3939

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


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