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一种用于接受手术切除的非小细胞肺癌患者的25信号蛋白质组学特征与预后

A 25-signal proteomic signature and outcome for patients with resected non-small-cell lung cancer.

作者信息

Yanagisawa Kiyoshi, Tomida Shuta, Shimada Yukako, Yatabe Yasushi, Mitsudomi Tetsuya, Takahashi Takashi

机构信息

Institute for Advanced Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan.

出版信息

J Natl Cancer Inst. 2007 Jun 6;99(11):858-67. doi: 10.1093/jnci/djk197.

Abstract

BACKGROUND

Among patients with non-small-cell lung cancer (NSCLC), those with poor prognosis cannot be distinguished from those with good prognosis.

METHODS

Matrix-assisted laser desorption-ionization mass spectrometry was used to analyze protein profiles of 174 specimens from NSCLC tumors and 27 specimens from normal lung tissue and to derive a prognosis-associated proteomic signature. Frozen resected tissue specimens were randomly divided into a training set (116 NSCLC and 20 normal lung specimens) and an independent, blinded validation set (58 NSCLC and seven normal lung specimens). Mass spectrometry signals from training set specimens that were differentially associated with specimens from patients with a high risk of recurrence (i.e., who died within 5 years of surgical treatment because of relapse) compared with those from patients with a low risk of recurrence (i.e., alive with no symptoms of relapse after a median follow-up of 89 months) were selected by use of the Fisher's exact test, the Kruskal-Wallis test, and the significance analysis of microarray test. These signals were used to build an individualized, weighted voting-based prognostic signature. The signature was then validated in the independent dataset. Survival was assessed by multivariable Cox regression analysis. Proteins corresponding to individual signals were identified by ion-trap mass spectrometry coupled with high-performance liquid chromatography. All statistical tests were two-sided.

RESULTS

From 2630 mass spectrometry signals from specimens in the training cohort, we derived a signature of 25 signals that was associated with both relapse-free survival and overall survival. Among stage I NSCLC patients in the validation set, the signature was statistically significantly associated with both overall survival (hazard ratio [HR] of death for patients in the high-risk group compared with those in the low-risk group = 61.1, 95% confidence interval [CI] = 8.9 to 419.2, P<.001) and relapse-free survival (HR of relapse = 11.7, 95% CI = 3.1 to 44.8, P<.001). Proteins corresponding to signals in the signature were identified that had various cellular functions, including ribosomal protein L26-like 1, acylphosphatase, and phosphoprotein enriched in astrocytes 15.

CONCLUSIONS

We defined a mass spectrometry signature that was associated with survival among NSCLC patients and appeared to distinguish those with poor prognosis from those with good prognosis.

摘要

背景

在非小细胞肺癌(NSCLC)患者中,预后差的患者与预后好的患者无法区分。

方法

采用基质辅助激光解吸电离质谱分析法分析174例NSCLC肿瘤标本和27例正常肺组织标本的蛋白质谱,得出与预后相关的蛋白质组学特征。将冷冻切除的组织标本随机分为训练集(116例NSCLC和20例正常肺标本)和独立的、盲法验证集(58例NSCLC和7例正常肺标本)。通过Fisher精确检验、Kruskal-Wallis检验和微阵列检验的显著性分析,选择训练集标本中与复发高风险患者(即手术治疗后5年内因复发死亡)的标本相比,与复发低风险患者(即中位随访89个月后无症状复发存活)的标本差异相关的质谱信号。这些信号用于构建基于个体加权投票的预后特征。然后在独立数据集中验证该特征。通过多变量Cox回归分析评估生存率。通过离子阱质谱联用高效液相色谱法鉴定与各个信号相对应的蛋白质。所有统计检验均为双侧检验。

结果

从训练队列标本的2630个质谱信号中,我们得出了一个由25个信号组成的特征,该特征与无复发生存率和总生存率均相关。在验证集的I期NSCLC患者中,该特征与总生存率(高风险组患者与低风险组患者相比的死亡风险比[HR]=61.1,95%置信区间[CI]=8.9至419.2,P<0.001)和无复发生存率(复发HR=11.7,95%CI=3.1至44.8,P<0.001)均具有统计学显著相关性。鉴定出了与该特征中的信号相对应且具有多种细胞功能的蛋白质,包括核糖体蛋白L26样1、酰基磷酸酶和星形胶质细胞富集磷蛋白15。

结论

我们定义了一种质谱特征,该特征与NSCLC患者的生存率相关,似乎可以区分预后差的患者与预后好的患者。

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