Callari Maurizio, Musella Valeria, Di Buduo Eleonora, Sensi Marialuisa, Miodini Patrizia, Dugo Matteo, Orlandi Rosaria, Agresti Roberto, Paolini Biagio, Carcangiu Maria Luisa, Cappelletti Vera, Daidone Maria Grazia
Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Amadeo, 42, 20133 Milan, Italy.
Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian, 1, 20133 Milan, Italy.
Mol Oncol. 2014 Oct;8(7):1278-89. doi: 10.1016/j.molonc.2014.04.010. Epub 2014 May 4.
The majority of gene expression signatures developed to predict the likelihood to relapse in breast cancer (BC) patients assigns a high risk score to patients with Estrogen Receptor (ER) negative or highly proliferating tumors. We aimed to identify a signature of differentially expressed (DE) metagenes, rather than single DE genes, associated with distant metastases beyond classical risk factors. We used 105 gene expression profiles from consecutive BCs to identify metagenes whose prognostic role was defined on an independent series of 92 ESR1+/ERBB2- node-negative BCs (42 cases developing metastases within 5 years from diagnosis and 50 cases metastasis-free for more than 5 years, comparable for age, tumor size, ER status and surgery). Findings were validated on publicly available datasets of 684 node-negative BCs including all the subtypes. Only a metagene containing interferon-induced genes (IFN metagene) proved to be predictive of distant metastasis in our series of patients with ESR1+/ERBB2- tumors (P = 0.029), and such a finding was validated on 457 ESR1+/ERBB2- BCs from public datasets (P = 0.0424). Conversely, the IFN metagene was associated with a low risk of metastasis in 104 ERBB2+ tumors (P = 0.0099) whereas it did not prove to significantly affect prognosis in 123 ESR1-/ERBB2- tumors (P = 0.2235). A complex prognostic interaction was revealed in ESR1+/ERBB2- and ERBB2+ tumors when the association between the IFN metagene and a T-cell metagene was considered. The study confirms the importance of analyzing prognostic variables separately within BC subtypes, highlights the advantages of using metagenes rather than genes, and finally identifies in node-negative ESR1+/ERBB2- BCs, the unfavorable role of high IFN metagene expression.
为预测乳腺癌(BC)患者复发可能性而开发的大多数基因表达特征,会将高风险评分赋予雌激素受体(ER)阴性或肿瘤增殖活跃的患者。我们旨在识别与远处转移相关的差异表达(DE)元基因特征,而非单个DE基因,且不考虑经典风险因素。我们使用了105例连续BC患者的基因表达谱,以识别其预后作用在92例ESR1 + / ERBB2 - 淋巴结阴性BC患者的独立队列中得到定义的元基因(42例在诊断后5年内发生转移,50例无转移超过5年,年龄、肿瘤大小、ER状态和手术情况相当)。研究结果在包含所有亚型的684例淋巴结阴性BC患者的公开可用数据集上得到验证。在我们这组ESR1 + / ERBB2 - 肿瘤患者中,只有一个包含干扰素诱导基因的元基因(IFN元基因)被证明可预测远处转移(P = 0.029),这一发现也在来自公共数据集的457例ESR1 + / ERBB2 - BC患者中得到验证(P = 0.0424)。相反,IFN元基因与104例ERBB2 + 肿瘤的低转移风险相关(P = 0.0099),而在123例ESR1 - / ERBB2 - 肿瘤中未证明其对预后有显著影响(P = 0.2235)。当考虑IFN元基因与T细胞元基因之间的关联时,在ESR1 + / ERBB2 - 和ERBB2 + 肿瘤中揭示了一种复杂的预后相互作用。该研究证实了在BC亚型内分别分析预后变量的重要性,突出了使用元基因而非单个基因的优势,最终在淋巴结阴性ESR1 + / ERBB2 - BC患者中确定了高IFN元基因表达的不利作用。