Kirilovsky Amos, Marliot Florence, El Sissy Carine, Haicheur Nacilla, Galon Jérôme, Pagès Franck
Laboratory of Integrative Cancer Immunology, INSERM UMRS1138, Cordeliers Research Center, 15 Rue de l'Ecole de Medecine, 75006 Paris, France University Paris Descartes, 45 Rue Saints Pères, 75006 Paris, France Centre de Recherche des Cordeliers, University Pierre et Marie Curie Paris 6, 15 Rue de l'Ecole de Medecine, 75006 Paris, France Immunomonitoring Platform, Laboratory of Immunology, Georges Pompidou European Hospital, 20-40 Rue Leblanc, 75015 Paris, France.
Laboratory of Integrative Cancer Immunology, INSERM UMRS1138, Cordeliers Research Center, 15 Rue de l'Ecole de Medecine, 75006 Paris, France Immunomonitoring Platform, Laboratory of Immunology, Georges Pompidou European Hospital, 20-40 Rue Leblanc, 75015 Paris, France.
Int Immunol. 2016 Aug;28(8):373-82. doi: 10.1093/intimm/dxw021. Epub 2016 Apr 27.
The American Joint Committee on Cancer/Union Internationale Contre le Cancer (AJCC/UICC) tumor, nodes, metastasis (TNM) classification system based on tumor features is used for prognosis estimation and treatment recommendations in most cancers. However, the clinical outcome can vary significantly among patients within the same tumor stage and TNM classification does not predict response to therapy. Therefore, many efforts have been focused on the identification of new markers. Multiple tumor cell-based approaches have been proposed but very few have been translated into the clinic. The recent demonstration of the essential role of the immune system in tumor progression has allowed great advances in the understanding of this complex disease and in the design of novel therapies. The analysis of the immune infiltrate by imaging techniques in large patient cohorts highlighted the prognostic impact of the in situ immune cell infiltrate in tumors. Moreover, the characterization of the immune infiltrates (e.g. type, density, distribution within the tumor, phenotype, activation status) in patients treated with checkpoint-blockade strategies could provide information to predict the disease outcome. In colorectal cancer, we have developed a prognostic score ('Immunoscore') that takes into account the distribution of the density of both CD3(+) lymphocytes and CD8(+) cytotoxic T cells in the tumor core and the invasive margin that could outperform TNM staging. Currently, an international retrospective study is under way to validate the Immunoscore prognostic performance in patients with colon cancer. The use of Immunoscore in clinical practice could improve the patients' prognostic assessment and therapeutic management.
美国癌症联合委员会/国际抗癌联盟(AJCC/UICC)基于肿瘤特征的肿瘤、淋巴结、转移(TNM)分类系统用于大多数癌症的预后评估和治疗建议。然而,同一肿瘤分期的患者临床结局可能差异很大,且TNM分类无法预测对治疗的反应。因此,许多努力都集中在寻找新的标志物上。已经提出了多种基于肿瘤细胞的方法,但很少能转化到临床应用。最近关于免疫系统在肿瘤进展中关键作用的证明,使得在理解这种复杂疾病和设计新疗法方面取得了巨大进展。通过成像技术对大量患者队列中的免疫浸润进行分析,突出了肿瘤原位免疫细胞浸润的预后影响。此外,对接受检查点阻断策略治疗的患者的免疫浸润特征(如类型、密度、在肿瘤内的分布、表型、激活状态)进行表征,可为预测疾病结局提供信息。在结直肠癌中,我们开发了一种预后评分(“免疫评分”),该评分考虑了肿瘤核心和浸润边缘中CD3(+)淋巴细胞和CD8(+)细胞毒性T细胞密度的分布,其表现可能优于TNM分期。目前,一项国际回顾性研究正在进行,以验证免疫评分在结肠癌患者中的预后性能。在临床实践中使用免疫评分可改善患者的预后评估和治疗管理。