INSERM, Integrative Cancer Immunology Team, INSERM U872, Paris, France.
Gastroenterology. 2010 Apr;138(4):1429-40. doi: 10.1053/j.gastro.2009.10.057. Epub 2009 Nov 10.
BACKGROUND & AIMS: Colorectal cancer is a complex disease involving immune defense mechanisms within the tumor. Herein, we used data integration and biomolecular network reconstruction to generate hypotheses about the mechanisms underlying immune responses in colorectal cancer that are relevant to tumor recurrence.
Mechanistic hypotheses were formulated on the basis of data from 108 patients and tested using different assays (gene expression, phenome mapping, tissue-microarrays, T-cell receptor [TCR] repertoire).
This integrative approach revealed that chemoattraction and adhesion play important roles in determining the density of intratumoral immune cells. The presence of specific chemokines (CX3CL1, CXCL10, CXCL9) and adhesion molecules (ICAM1, VCAM1, MADCAM1) correlated with different subsets of immune cells and with high densities of T-cell subpopulations within specific tumor regions. High expression of these molecules correlated with prolonged disease-free survival. Moreover, the expression of certain chemokines associated with particular TCR repertoire and specific TCR use predicted patient survival.
Data integration and biomolecular network reconstruction is a powerful approach to uncover molecular mechanisms. This study shows the utility of this approach for the investigation of malignant tumors and other diseases. In colorectal cancer, the expression of specific chemokines and adhesion molecules were found as being critical for high densities of T-cell subsets within the tumor and associated with particular TCR repertoire. Intratumoral-specific TCR use correlated with the prognosis of the patients.
结直肠癌是一种涉及肿瘤内免疫防御机制的复杂疾病。在此,我们使用数据集成和生物分子网络重构生成与肿瘤复发相关的结直肠癌免疫反应机制的假说。
基于 108 名患者的数据制定机制假说,并使用不同的检测方法(基因表达、表型图谱、组织微阵列、T 细胞受体[TCR]库)进行检测。
这种综合方法表明趋化和黏附在决定肿瘤内免疫细胞密度方面起着重要作用。特定趋化因子(CX3CL1、CXCL10、CXCL9)和黏附分子(ICAM1、VCAM1、MADCAM1)的存在与特定肿瘤区域内不同免疫细胞亚群和 T 细胞亚群的高密度相关。这些分子的高表达与无病生存时间延长相关。此外,与特定 TCR 库和特定 TCR 使用相关的某些趋化因子的表达可预测患者的生存情况。
数据集成和生物分子网络重构是揭示分子机制的有力方法。本研究表明,该方法可用于恶性肿瘤和其他疾病的研究。在结直肠癌中,特定趋化因子和黏附分子的表达被发现对肿瘤内 T 细胞亚群的高密度至关重要,并与特定 TCR 库相关。肿瘤内特定 TCR 的使用与患者的预后相关。