Baseline Cytokine Profile Identifies a Favorable Outcome in a Subgroup of Colorectal Cancer Patients Treated with Regorafenib

Author:

Abbona Andrea1ORCID,Ricci Vincenzo2ORCID,Paccagnella Matteo1ORCID,Granetto Cristina3ORCID,Ruatta Fiorella4,Cauchi Carolina4,Galizia Danilo5,Ghidini Michele4ORCID,Denaro Nerina4ORCID,Merlano Marco Carlo5ORCID,Garrone Ornella4ORCID

Affiliation:

1. Fondazione Arco Cuneo, 12100 Cuneo, Italy

2. Medical Oncology Unit, AORN “San Pio”, 82100 Benevento, Italy

3. Azienda Ospedaliera S. Croce e Carle, 12100 Cuneo, Italy

4. Department of Medical Oncology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milano, Italy

5. Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy

Abstract

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.

Publisher

MDPI AG

Subject

Pharmacology (medical),Infectious Diseases,Drug Discovery,Pharmacology,Immunology

Reference45 articles.

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