The prognostic impact of anti-cancer immune response: a novel classification of cancer patients.
The prognostic impact of anti-cancer immune response: a novel classification of cancer patients.
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DOI：
10.1007/s00281-011-0264-x
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发表时间：
2011-07
影响因子：
9
通讯作者：
Galon, Jerome
中科院分区：
文献类型：
--
作者：
Bindea, Gabriela;Mlecnik, Bernhard;Fridman, Wolf-Herman;Galon, Jerome
迄今为止，肿瘤的解剖范围（TNM分型）一直是预测结直肠癌患者预后的最重要因素。然而，近年来，从大量人类癌症队列中收集的数据表明，原发肿瘤的免疫环境是患者无病生存和总生存的重要预后因素。肿瘤微环境的全局分析表明，适应性免疫细胞的性质、功能取向、密度和在不同肿瘤区域内的位置影响复发事件的风险。根据肿瘤内免疫细胞的密度和位置对患者进行了免疫分类。免疫分类具有优于TNM分类的预后价值，肿瘤侵袭在统计学上依赖于宿主免疫反应。系统生物学方法预测的肿瘤和免疫标记物参与了有效免疫反应的形成，可以作为新治疗方法的靶点。因此，免疫反应的强度可以促进我们对癌症进化的理解，并在临床实践中具有重要意义。
Until now, the anatomic extent of tumor (TNM classification) has been, by far, the most important factor to predict the prognosis of colorectal cancer patients. However, in recent years, data collected from large cohorts of human cancers demonstrated that the immune contexture of the primary tumors is an essential prognostic factor for patients' disease-free and overall survival. Global analysis of tumor microenvironment showed that the nature, the functional orientation, the density, and the location of adaptive immune cells within distinct tumor regions influence the risk of relapse events. An immune classification of the patients was proposed based on the density and the immune cell location within the tumor. The immune classification has a prognostic value that is superior to the TNM classification, and tumor invasion is statistically dependent on the host immune reaction. Tumor and immunological markers predicted by systems biology methods are involved in the shaping of an efficient immune reaction and can serve as targets for novel therapeutic approaches. Thus, the strength of the immune reaction could advance our understanding of cancer evolution and have important consequences in clinical practice.
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影响因子：
20.3
作者：
Carreras, Joaquim;Lopez-Guillermo, Armando;Banham, Alison H.
通讯作者：
Banham, Alison H.
影响因子：
11.5
作者：
Badoual, C;Hans, S;Tartour, E
通讯作者：
Tartour, E
影响因子：
5.4
作者：
Hoffmann, Petra;Boeld, Tina J.;Edinger, Matthias
通讯作者：
Edinger, Matthias
影响因子：
3.4
作者：
JASS, JR
通讯作者：
JASS, JR
影响因子：
11.2
作者：
Camus, Matthieu;Tosolini, Marie;Galon, Jerome
通讯作者：
Galon, Jerome