Medical Faculty, Ruprecht-Karls-University, Heidelberg, Germany.
Department of Urology, Medical School, University of Pecs, Munkacsy M. u. 2, Pécs, H-7621, Hungary.
Cell Oncol (Dordr). 2017 Dec;40(6):651-656. doi: 10.1007/s13402-017-0346-4. Epub 2017 Sep 21.
The mortality of conventional renal cell carcinoma (RCC) correlates directly with the presence or postoperative development of metastases. The aim of this study was to identify new markers associated with the postoperative progression of conventional RCC.
Tissue microarrays (TMA) of conventional RCC from a cohort of 414 patients were analysed by immunohistochemistry for expression of the lipopolysaccharide binding protein (LBP), which was identified as a candidate biomarker through Affymetrix U133 Plus 2.0 array analysis. Univariate and multivariate Cox regression models were addressed to cancer-specific survival in association with age, sex, clinicopathological parameters and LBP expression. The survival time of the patients was estimated by Kaplan-Meier analyses, and comparisons of survival curves were made using the Log rank test.
Univariate analysis revealed an association of patient survival with all clinicopathological parameters tested and LBP expression. In multivariate analysis only T classification, grade and LBP staining showed a significant association with postoperative cancer-specific survival (p < 0.001). LBP expression was found to be associated with a poor patient survival in Kaplan-Meier analyses. The estimated median survival time for patients with tumours showing LBP expression was 74 months, whereas the overall survival time was 142 months.
LBP expression in conventional RCC defines a group of patients at a high risk of postoperative progression and may help to direct optimized active surveillance and timely adjuvant therapy.
传统肾细胞癌（RCC）的死亡率与转移的存在或术后发展直接相关。本研究旨在确定与传统 RCC 术后进展相关的新标志物。
通过免疫组织化学分析 414 例患者的传统 RCC 组织微阵列（TMA），以检测脂多糖结合蛋白（LBP）的表达，通过 Affymetrix U133 Plus 2.0 阵列分析确定其为候选生物标志物。采用单因素和多因素 Cox 回归模型分析与年龄、性别、临床病理参数和 LBP 表达相关的癌症特异性生存率。通过 Kaplan-Meier 分析估计患者的生存时间，并使用对数秩检验比较生存曲线。
单因素分析显示，患者的生存与所有测试的临床病理参数和 LBP 表达有关。多因素分析仅显示 T 分类、分级和 LBP 染色与术后癌症特异性生存率显著相关（p<0.001）。Kaplan-Meier 分析发现 LBP 表达与患者预后不良相关。LBP 表达阳性肿瘤患者的估计中位生存时间为 74 个月，而总生存时间为 142 个月。
在传统 RCC 中 LBP 表达定义了一组术后进展风险较高的患者，可能有助于指导优化的主动监测和及时的辅助治疗。
