Zakhour John, Njeim Maria, Haddad Rita, Akiki Joseph, Njeim Clara, Nakouzi Nicolas, Rustom Michel, Karam Elias, Kesrouani Carole, Gharios Joseph, Kourie Hampig Raphael
Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
Département de Médecine Oncologique, Gustave Roussy, Villejuif, France.
Future Oncol. 2025 Aug;21(20):2689-2699. doi: 10.1080/14796694.2025.2531427. Epub 2025 Jul 16.
The Immunoscore (IS), introduced by Jerome Galon in the early 2000s, evaluates immune cell densities within tumors, offering a more accurate prediction of clinical outcomes in colorectal cancer (CRC) compared to the TNM system. Studies have demonstrated that IS enhances the prediction of recurrence, disease-free survival, and overall survival in early-stage CRC, identifying high-risk patients and optimizing treatment decisions. The IS serves as a prognostic tool with high predictive value in guiding immunotherapy, especially immune checkpoint inhibitors (ICIs). Studies show that high IS scores correlate with better response rates to ICI therapy, facilitating personalized treatment. In addition to CRC, the IS has demonstrated utility across various cancers by predicting treatment responses and survival outcomes. Despite its advantages, the IS faces limitations with traditional tumor-infiltrating lymphocyte assessments. Moreover, the IS's application in guiding adjuvant chemotherapy is constrained by cost and limited data. Nonetheless, advancements combining IS with markers like p21 and p16(INK4a) as well as integrating artificial intelligence and digital pathology, enhance prognostic predictions and patient management. Overall, the IS represents a significant advancement in oncology, with ongoing research likely to further enhance its utility across diverse cancer types.
免疫评分(IS)由杰罗姆·加隆于21世纪初提出,用于评估肿瘤内免疫细胞密度,与TNM系统相比,能更准确地预测结直肠癌(CRC)的临床结局。研究表明,IS可提高早期CRC复发、无病生存期和总生存期的预测能力,识别高危患者并优化治疗决策。IS作为一种预后工具,在指导免疫治疗尤其是免疫检查点抑制剂(ICI)方面具有很高的预测价值。研究表明,高IS评分与对ICI治疗的更好反应率相关,有助于个性化治疗。除CRC外,IS通过预测治疗反应和生存结局,在各种癌症中都显示出实用性。尽管IS有诸多优点,但在传统肿瘤浸润淋巴细胞评估方面仍存在局限性。此外,IS在指导辅助化疗中的应用受到成本和数据有限的限制。尽管如此,将IS与p21和p16(INK4a)等标志物相结合,以及整合人工智能和数字病理的进展,可提高预后预测和患者管理水平。总体而言,IS代表了肿瘤学领域的一项重大进展,正在进行的研究可能会进一步提高其在多种癌症类型中的实用性。