Abbona Andrea, Ricci Vincenzo, Paccagnella Matteo, Granetto Cristina, Ruatta Fiorella, Cauchi Carolina, Galizia Danilo, Ghidini Michele, Denaro Nerina, Merlano Marco Carlo, Garrone Ornella
Fondazione Arco Cuneo, 12100 Cuneo, Italy.
Medical Oncology Unit, AORN "San Pio", 82100 Benevento, Italy.
Vaccines (Basel). 2023 Feb 2;11(2):335. doi: 10.3390/vaccines11020335.
Metastatic colorectal cancer is frequently associated with poor clinical conditions that may limit therapeutic options. Regorafenib is a small molecule approved for the treatment of metastatic colorectal cancer, but it is hampered by significative toxicities. Moreover, only a relatively limited number of patients benefit from the treatment. Therefore, the identification of reliable markers for response is an unmet need. Eighteen cytokines, selected based on their prevalent Th1 or Th2 effects, were collected. Peripheral blood samples were gathered at baseline in 25 metastatic colorectal cancer patients treated with regorafenib. Data extracted have been linked to progression-free survival. ROC identified the best cytokines associated with outcome. The relative value of the selected cytokines was determined by PCA. Data analysis identified 8 cytokines (TGF-β, TNF-α, CCL-2, IL-6, IL-8, IL-10, IL-13 and IL-21), used to create a signature (TGF-β, TNF-α high; CCL-2, IL-6, IL-8, IL-10, IL-13 and IL-21 low) corresponding to patients with a significantly longer progression-free survival. This report suggests that the analysis of multiple cytokines might identify a cytokine signature related to a patient's outcome that is able to recognize patients who will benefit from treatment. If confirmed, future studies, also based on different drugs, using this approach and including larger patient populations, might identify a signature allowing the a priori identification of patients to be treated.
转移性结直肠癌常伴有可能限制治疗选择的不良临床状况。瑞戈非尼是一种被批准用于治疗转移性结直肠癌的小分子药物,但它存在明显的毒性问题。此外,只有相对有限数量的患者能从该治疗中获益。因此,识别可靠的反应标志物是一项尚未满足的需求。收集了基于其普遍的Th1或Th2效应选择的18种细胞因子。在25例接受瑞戈非尼治疗的转移性结直肠癌患者基线时采集外周血样本。提取的数据与无进展生存期相关联。ROC分析确定了与预后相关的最佳细胞因子。通过主成分分析确定所选细胞因子的相对价值。数据分析确定了8种细胞因子(转化生长因子-β、肿瘤坏死因子-α、趋化因子配体-2、白细胞介素-6、白细胞介素-8、白细胞介素-10、白细胞介素-13和白细胞介素-21),用于创建一种特征(转化生长因子-β、肿瘤坏死因子-α高;趋化因子配体-2、白细胞介素-6、白细胞介素-8、白细胞介素-10、白细胞介素-13和白细胞介素-21低),对应无进展生存期显著更长的患者。本报告表明,对多种细胞因子的分析可能识别出与患者预后相关的细胞因子特征,从而能够识别将从治疗中获益的患者。如果得到证实,未来基于不同药物、采用这种方法并纳入更大患者群体的研究可能会识别出一种特征,从而能够在治疗前识别出适合治疗 的患者。