Acyl-CoA thioesterase 8 is a specific protein related to nodal metastasis and prognosis of lung adenocarcinoma

被引:17
|
作者
Jung, Woon Yong [1 ]
Kim, Young Hye [1 ]
Ryu, Young Joon [1 ]
Kim, Baek-Hui [1 ]
Shin, Bong Kyung [1 ]
Kim, Aeree [1 ]
Kim, Han Kyeom [1 ]
机构
[1] Korea Univ, Coll Med, Dept Pathol, Seoul 152703, South Korea
关键词
Lung; Adenocarcinoma; Neoplasm metastasis; Prognosis; Proteomics; PROLIFERATOR-ACTIVATED RECEPTOR; PEROXISOMAL BETA-OXIDATION; MICROSOMAL EPOXIDE HYDROLASE; ACID-BINDING PROTEIN; CLOFIBRIC ACID; TUMOR SIZE; CANCER; INDUCTION; RAT; ELECTROPHORESIS;
D O I
10.1016/j.prp.2013.02.008
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
Metastasis is a major cause of cancer recurrence or death. This study attempted to quantitatively identify different proteins in metastatic lung adenocarcinoma. The NIT quotient [number of metastatic lymph nodes (n)/tumor diameter (cm)] was used to select samples with an extreme metastatic phenotype. Among the six fresh frozen lung adenocarcinoma specimens, the three showing the highest NIT quotient represented the metastatic group, and others with the greatest tumor diameters without metastasis represented the non-metastatic group. After 2-dimensional electrophoresis, the significantly different protein spots were selected by image analysis and analyzed with MALDI-TOF mass spectrometry. Acyl-CoA thioesterase 8 isoform c (ACOT8) was one of most overexpressed proteins in the metastatic group, and it was validated by Western blot and immunohistochemical staining on 108 paraffin-embedded tumor samples. High ACOT8 expression was correlated with lymph node metastasis (p = 0.002), recurrence (p = 0.034), predominant histologic subtypes (p = 0.007), and higher stage (p = 0.005). In multivariate analysis, high ACOT8 expression was significantly associated with increased risks of lymph node metastasis (p = 0.009) and cancer-related death (p = 0.030), independent of clinical factors. ACOT8 may be a candidate prognostic biomarker and therapeutic target of lung adenocarcinoma. (C) 2013 Elsevier GmbH. All rights reserved.
引用
收藏
页码:276 / 283
页数:8
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