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

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Antineoplastic Agents / therapeutic use*
  • Biomarkers, Tumor / immunology*
  • Clinical Trials as Topic
  • Colorectal Neoplasms / drug therapy*
  • Colorectal Neoplasms / immunology
  • Female
  • Humans
  • Leukocyte Count
  • Lymphocyte Count
  • Male
  • Middle Aged
  • Neoplasm Metastasis
  • Neutrophils / immunology*
  • Platelet Count
  • Prognosis
  • Survival Analysis
  • Treatment Outcome

Substances

  • Antineoplastic Agents
  • Biomarkers, Tumor