Ivshina Anna V, George Joshy, Senko Oleg, Mow Benjamin, Putti Thomas C, Smeds Johanna, Lindahl Thomas, Pawitan Yudi, Hall Per, Nordgren Hans, Wong John E L, Liu Edison T, Bergh Jonas, Kuznetsov Vladimir A, Miller Lance D
Genome Institute of Singapore, Singapore.
Cancer Res. 2006 Nov 1;66(21):10292-301. doi: 10.1158/0008-5472.CAN-05-4414.
Histologic grading of breast cancer defines morphologic subtypes informative of metastatic potential, although not without considerable interobserver disagreement and clinical heterogeneity particularly among the moderately differentiated grade 2 (G2) tumors. We posited that a gene expression signature capable of discerning tumors of grade 1 (G1) and grade 3 (G3) histology might provide a more objective measure of grade with prognostic benefit for patients with G2 disease. To this end, we studied the expression profiles of 347 primary invasive breast tumors analyzed on Affymetrix microarrays. Using class prediction algorithms, we identified 264 robust grade-associated markers, six of which could accurately classify G1 and G3 tumors, and separate G2 tumors into two highly discriminant classes (termed G2a and G2b genetic grades) with patient survival outcomes highly similar to those with G1 and G3 histology, respectively. Statistical analysis of conventional clinical variables further distinguished G2a and G2b subtypes from each other, but also from histologic G1 and G3 tumors. In multivariate analyses, genetic grade was consistently found to be an independent prognostic indicator of disease recurrence comparable with that of lymph node status and tumor size. When incorporated into the Nottingham prognostic index, genetic grade enhanced detection of patients with less harmful tumors, likely to benefit little from adjuvant therapy. Our findings show that a genetic grade signature can improve prognosis and therapeutic planning for breast cancer patients, and support the view that low- and high-grade disease, as defined genetically, reflect independent pathobiological entities rather than a continuum of cancer progression.
乳腺癌的组织学分级可定义具有转移潜能的形态学亚型,尽管观察者之间存在相当大的分歧,且临床存在异质性,尤其是在中度分化的2级(G2)肿瘤中。我们推测,一种能够区分1级(G1)和3级(G3)组织学肿瘤的基因表达特征,可能为G2疾病患者提供更客观的分级指标,并具有预后价值。为此,我们研究了在Affymetrix微阵列上分析的347例原发性浸润性乳腺癌的表达谱。使用分类预测算法,我们鉴定出264个与分级相关的可靠标志物,其中6个能够准确分类G1和G3肿瘤,并将G2肿瘤分为两个高度有区分度的类别(称为G2a和G2b基因分级),其患者生存结果分别与G1和G3组织学患者的生存结果高度相似。对传统临床变量的统计分析进一步区分了G2a和G2b亚型,也区分了它们与组织学G1和G3肿瘤。在多变量分析中,基因分级一直被发现是疾病复发的独立预后指标,与淋巴结状态和肿瘤大小相当。当纳入诺丁汉预后指数时,基因分级增强了对危害较小肿瘤患者的检测,这些患者可能从辅助治疗中获益甚微。我们的研究结果表明,基因分级特征可以改善乳腺癌患者的预后和治疗规划,并支持这样一种观点,即从基因定义的低级别和高级别疾病反映了独立的病理生物学实体,而不是癌症进展的连续体。