Infectious Disease and Immunogenetics Section (IDIS), Department of Transfusion Medicine and Center for Human Immunology, National Institutes of Health, Bethesda, MD 20892, USA.
Breast Cancer Res Treat. 2012 Feb;131(3):871-80. doi: 10.1007/s10549-011-1470-x. Epub 2011 Apr 11.
The clinical significance of tumor-infiltrating immune cells has been reported in a variety of human carcinomas including breast cancer. However, molecular signature of tumor-infiltrating immune cells and their prognostic value in breast cancer patients remain elusive. We hypothesized that a distinct network of immune function genes at the tumor site can predict a low risk versus high risk of distant relapse in breast cancer patients regardless of the status of ER, PR, or HER-2/neu in their tumors. We conducted retrospective studies in a diverse cohort of breast cancer patients with a 1-5 year tumor relapse versus those with up to 7 years relapse-free survival. The RNAs were extracted from the frozen tumor specimens at the time of diagnosis and subjected to microarray analysis and real-time RT-PCR. Paraffin-embedded tissues were also subjected to immunohistochemistry staining. We determined that a network of immune function genes involved in B cell development, interferon signaling associated with allograft rejection and autoimmune reaction, antigen presentation pathway, and cross talk between adaptive and innate immune responses were exclusively upregulated in patients with relapse-free survival. Among the 299 genes, five genes which included B cell response genes were found to predict with >85% accuracy relapse-free survival. Real-time RT-PCR confirmed the 5-gene prognostic signature that was distinct from an FDA-cleared 70-gene signature of MammaPrint panel and from the Oncotype DX recurrence score assay panel. These data suggest that neoadjuvant immunotherapy in patients with high risk of relapse may reduce tumor recurrence by inducing the immune function genes.
肿瘤浸润免疫细胞的临床意义已在多种人类癌中得到报道,包括乳腺癌。然而,肿瘤浸润免疫细胞的分子特征及其在乳腺癌患者中的预后价值仍然难以捉摸。我们假设肿瘤部位独特的免疫功能基因网络可以预测乳腺癌患者远处复发的低风险与高风险,而与肿瘤中 ER、PR 或 HER-2/neu 的状态无关。我们对具有 1-5 年肿瘤复发的不同乳腺癌患者队列进行了回顾性研究,以及具有长达 7 年无复发生存的患者。在诊断时从冷冻肿瘤标本中提取 RNA,并进行微阵列分析和实时 RT-PCR。石蜡包埋组织也进行了免疫组织化学染色。我们确定了一组参与 B 细胞发育、与同种异体移植排斥和自身免疫反应相关的干扰素信号、抗原呈递途径以及适应性免疫和固有免疫反应之间的串扰的免疫功能基因网络,仅在无复发生存的患者中上调。在 299 个基因中,发现包括 B 细胞反应基因在内的 5 个基因可以预测无复发生存的准确率>85%。实时 RT-PCR 证实了 5 个基因的预后特征,与 FDA 批准的 MammaPrint 面板的 70 个基因特征和 Oncotype DX 复发评分检测面板不同。这些数据表明,在高复发风险的患者中进行新辅助免疫治疗可能通过诱导免疫功能基因来降低肿瘤复发。