Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.
Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Br J Cancer. 2020 Aug;123(3):403-409. doi: 10.1038/s41416-020-0894-7. Epub 2020 May 19.
Immune-inflammatory biomarkers (IIBs) showed a prognostic relevance in patients with metastatic CRC (mCRC). We aimed at evaluating the prognostic power of a new comprehensive biomarker, the Pan-Immune-Inflammation Value (PIV), in patients with mCRC receiving first-line therapy.
In the present pooled-analysis, we included patients enrolled in the Valentino and TRIBE trials. PIV was calculated as: (neutrophil count × platelet count × monocyte count)/lymphocyte count. A cut-off was determined using the maximally selected rank statistics method. Generalised boosted regression (GBR), the Kaplan-Meier method and Cox hazards regression models were used for survival analyses.
A total of 438 patients were included. Overall, 208 patients (47%) had a low-baseline PIV and 230 (53%) had a high-baseline PIV. Patients with high PIV experienced a worse PFS (HR, 1.66; 95% CI, 1.36-2.03, P < 0.001) and worse OS (HR, 2.01; 95% CI, 1.57-2.57; P < 0.001) compared to patients with low PIV. PIV outperformed the other IIBs in the GBR model and in the multivariable models.
PIV is a strong predictor of survival outcomes with better performance than other well-known IIBs in patients with mCRC treated with first-line therapy. PIV should be prospectively validated to better stratify mCRC patients undergoing first-line therapy.
免疫炎症生物标志物(IIBs)在转移性结直肠癌(mCRC)患者中显示出预后相关性。我们旨在评估新的综合生物标志物-全免疫炎症值(PIV)在接受一线治疗的 mCRC 患者中的预后能力。
在本汇总分析中,我们纳入了 Valentino 和 TRIBE 试验中入组的患者。PIV 的计算方法为:(中性粒细胞计数×血小板计数×单核细胞计数)/淋巴细胞计数。使用最大选择秩统计方法确定截断值。使用广义增强回归(GBR)、Kaplan-Meier 方法和 Cox 风险回归模型进行生存分析。
共纳入 438 例患者。总体而言,208 例患者(47%)基线 PIV 较低,230 例患者(53%)基线 PIV 较高。PIV 较高的患者 PFS 更差(HR,1.66;95%CI,1.36-2.03,P<0.001)和 OS 更差(HR,2.01;95%CI,1.57-2.57;P<0.001),与 PIV 较低的患者相比。PIV 在 GBR 模型和多变量模型中均优于其他 IIBs。
PIV 是一线治疗 mCRC 患者生存结局的有力预测指标,其性能优于其他著名的 IIBs。应前瞻性验证 PIV,以更好地分层接受一线治疗的 mCRC 患者。