TPM1 是一种新型胃癌诊断和预后的预测性生物标志物。

TPM1 is a Novel Predictive Biomarker for Gastric Cancer Diagnosis and Prognosis.

出版信息

Clin Lab. 2020 Apr 1;66(4). doi: 10.7754/Clin.Lab.2019.190235.

DOI:10.7754/Clin.Lab.2019.190235

Abstract

BACKGROUND

Tropomyosin alpha-1 chain (TPM1) is a member of the tropomyosin family and the expression of TPM1 is found to be dysregulated in various tumors. The present study aimed to investigate the clinical performance and significance of TPM1 in gastric cancer.

METHODS

First, the levels of TPM1 mRNA and protein were detected through real-time polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC) respectively. The correlation between TPM1 expression and clinicopathological variables was analyzed. Then, receiver operating characteristic (ROC) curve was applied to determine the diagnostic performance of TPM1 in gastric cancer. Finally, overall survival analysis was carried out using Kaplan-Meier method in order to determine the prognostic performance of TPM1 in gastric cancer.

RESULTS

Compared with the controls, TPM1 mRNA and protein expression levels were significantly downregulated in patients with gastric cancer. Downregulation of TPM1 was associated with depth of invasion and tumor node metastasis (TNM; p = 0.0030 and 0.0175, respectively). Furthermore, TPM1 might be a novel predictive biomarker for gastric cancer with an area under curve (AUC) of 0.8327. Overall survival analysis indicated that low TPM1 expression predicted poor survival (log-rank test, p = 0.0058).

CONCLUSIONS

TPM1 might be a novel predictive diagnostic and prognostic biomarker for gastric cancer (95% con-fidence interval = 0.7705 - 0.8949, p < 0.0001).

摘要

背景

原肌球蛋白α-1 链（TPM1）是原肌球蛋白家族的成员，其在各种肿瘤中的表达被发现失调。本研究旨在探讨 TPM1 在胃癌中的临床性能和意义。

方法

首先，通过实时聚合酶链反应（RT-qPCR）和免疫组织化学（IHC）分别检测 TPM1 mRNA 和蛋白水平。分析 TPM1 表达与临床病理变量之间的相关性。然后，应用受试者工作特征（ROC）曲线来确定 TPM1 在胃癌中的诊断性能。最后，采用 Kaplan-Meier 法进行总生存分析，以确定 TPM1 在胃癌中的预后性能。

结果

与对照组相比，胃癌患者 TPM1 mRNA 和蛋白表达水平显著下调。TPM1 的下调与浸润深度和肿瘤淋巴结转移（TNM；p = 0.0030 和 0.0175）有关。此外，TPM1 可能是胃癌的一种新的预测性生物标志物，曲线下面积（AUC）为 0.8327。总生存分析表明，低 TPM1 表达预示着不良的生存（对数秩检验，p = 0.0058）。