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早期非小细胞肺癌的三基因预后分类器

Three-gene prognostic classifier for early-stage non small-cell lung cancer.

作者信息

Lau Suzanne K, Boutros Paul C, Pintilie Melania, Blackhall Fiona H, Zhu Chang-Qi, Strumpf Dan, Johnston Michael R, Darling Gail, Keshavjee Shaf, Waddell Thomas K, Liu Ni, Lau Davina, Penn Linda Z, Shepherd Frances A, Jurisica Igor, Der Sandy D, Tsao Ming-Sound

机构信息

Princess Margaret Hospital, 610 University Ave, Toronto, Ontario, Canada.

出版信息

J Clin Oncol. 2007 Dec 10;25(35):5562-9. doi: 10.1200/JCO.2007.12.0352.

Abstract

PURPOSE

Several microarray studies have reported gene expression signatures that classify non-small-cell lung carcinoma (NSCLC) patients into different prognostic groups. However, the prognostic gene lists reported to date overlap poorly across studies, and few have been validated independently using more quantitative assay methods.

PATIENTS AND METHODS

The expression of 158 putative prognostic genes identified in previous microarray studies was analyzed by reverse transcription quantitative polymerase chain reaction in the tumors of 147 NSCLC patients. Concordance indices and risk scores were used to identify a stage-independent set of genes that could classify patients with significantly different prognoses.

RESULTS

We have identified a three-gene classifier (STX1A, HIF1A, and CCR7) for overall survival (hazard ratio = 3.8; 95% CI, 1.7 to 8.2; P < .001). The classifier was also able to stratify stage I and II patients and further improved the predictive ability of clinical factors such as histology and tumor stage. The predictive value of this three-gene classifier was validated in two large independent microarray data sets from Harvard and Duke Universities.

CONCLUSION

We have identified a new three-gene classifier that is independent of and improves on stage to stratify early-stage NSCLC patients with significantly different prognoses. This classifier may be tested further for its potential value to improve the selection of resected NSCLC patients in adjuvant therapy.

摘要

目的

多项微阵列研究报告了可将非小细胞肺癌(NSCLC)患者分为不同预后组的基因表达特征。然而,迄今为止报告的预后基因列表在不同研究之间重叠性较差,并且很少有使用更定量的检测方法进行独立验证的。

患者与方法

通过逆转录定量聚合酶链反应分析了147例NSCLC患者肿瘤中在先前微阵列研究中鉴定出的158个假定预后基因的表达。一致性指数和风险评分用于确定一组与分期无关的基因,这些基因可将预后显著不同的患者分类。

结果

我们确定了一个用于总体生存的三基因分类器(STX1A、HIF1A和CCR7)(风险比 = 3.8;95% CI,1.7至8.2;P <.001)。该分类器还能够对I期和II期患者进行分层,并进一步提高了组织学和肿瘤分期等临床因素的预测能力。这个三基因分类器的预测价值在来自哈佛大学和杜克大学的两个大型独立微阵列数据集中得到了验证。

结论

我们确定了一个新的三基因分类器,它独立于分期并在分期基础上进行了改进,可对预后显著不同的早期NSCLC患者进行分层。该分类器在辅助治疗中改善可切除NSCLC患者选择方面的潜在价值可能需要进一步测试。

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