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免疫炎症指数(Pan-Immune-Inflammation Value)是转移性结直肠癌的一种新的预后生物标志物:来自 Valentino 和 TRIBE 一线试验的 pooled-analysis 的结果。

The Pan-Immune-Inflammation Value is a new prognostic biomarker in metastatic colorectal cancer: results from a pooled-analysis of the Valentino and TRIBE first-line trials.

机构信息

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.

出版信息

Br J Cancer. 2020 Aug;123(3):403-409. doi: 10.1038/s41416-020-0894-7. Epub 2020 May 19.

Abstract

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

摘要

背景

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。

方法

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。

结果

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。

结论

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2635/7403416/a6b507b2524a/41416_2020_894_Fig1_HTML.jpg

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