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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.
Fucà, Giovanni; Guarini, Vincenzo; Antoniotti, Carlotta; Morano, Federica; Moretto, Roberto; Corallo, Salvatore; Marmorino, Federica; Lonardi, Sara; Rimassa, Lorenza; Sartore-Bianchi, Andrea; Borelli, Beatrice; Tampellini, Marco; Bustreo, Sara; Claravezza, Matteo; Boccaccino, Alessandra; Murialdo, Roberto; Zaniboni, Alberto; Tomasello, Gianluca; Loupakis, Fotios; Adamo, Vincenzo; Tonini, Giuseppe; Cortesi, Enrico; de Braud, Filippo; Cremolini, Chiara; Pietrantonio, Filippo.
Afiliação
  • Fucà G; Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.
  • Guarini V; Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.
  • Antoniotti C; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
  • Morano F; Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
  • Moretto R; Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.
  • Corallo S; Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
  • Marmorino F; Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.
  • Lonardi S; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
  • Rimassa L; Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
  • Sartore-Bianchi A; Unit of Medical Oncology 1, Department of Clinical and Experimental Oncology, Istituto Oncologico Veneto, IRCCS, Padua, Italy.
  • Borelli B; Medical Oncology and Hematology Unit, Humanitas Cancer Center, Humanitas Clinical and Research Center-IRCCS, Rozzano, Italy.
  • Tampellini M; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
  • Bustreo S; Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy.
  • Claravezza M; Oncology and Hemato-oncology Department, University of Milan, Milan, Italy.
  • Boccaccino A; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
  • Murialdo R; Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
  • Zaniboni A; Department of Oncology, AOU San Luigi di Orbassano, University of Torino, Orbassano, Italy.
  • Tomasello G; Colorectal Cancer Unit, Medical Oncology Division 1, AOU Città della Salute e della Scienza, Torino, Italy.
  • Loupakis F; Medical Oncology Unit, Ente Ospedaliero Ospedali Galliera, Genoa, Italy.
  • Adamo V; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
  • Tonini G; Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
  • Cortesi E; Department of Internal Medicine, University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy.
  • de Braud F; Medical Oncology Unit, Fondazione Poliambulanza, Brescia, Italy.
  • Cremolini C; Medical Oncology Unit, Azienda Socio-Sanitaria Territoriale (ASST) Ospedale di Cremona, Cremona, Italy.
  • Pietrantonio F; Unit of Medical Oncology 1, Department of Clinical and Experimental Oncology, Istituto Oncologico Veneto, IRCCS, Padua, Italy.
Br J Cancer ; 123(3): 403-409, 2020 08.
Article em En | MEDLINE | ID: mdl-32424148
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Biomarcadores Tumorais / Neutrófilos / Antineoplásicos Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Biomarcadores Tumorais / Neutrófilos / Antineoplásicos Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article