A joint profile of cytokines and immune cell populations may identify HNSCC patients who benefit from nivolumab treatment. The Gruppo Oncologico Nord-Ovest (GONO) study Nivactor T-2

Author:

Merlano Marco Carlo1,Paccagnella Matteo2,Denaro Nerina3,Abbona Andrea2,Galizia Danilo1,Sangiolo Dario4,Gammaitoni Loretta1,Fiorino Erika4,Minei Silvia5,Bossi Paolo6,Licitra Lisa7,Garrone Ornella3

Affiliation:

1. Candiolo Cancer Institute, FPO-IRCCS Candiolo

2. Transaltional Oncology ARCO Foundation

3. Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico

4. University of Turin

5. University of Bari “A.Moro”

6. University of Brescia

7. Fondazione IRCCS Istituto Nazionale dei Tumori & University of Milan

Abstract

Abstract Background: Immunotherapy of head and neck cancer induces a limited but reproducible rate of long-term survivors, at the cost of treating a large number of patients exposed to toxicity without benefit, regardless of PD-L1 expression. Therefore, identification of better markers for response is an unmet need. Materials and methods: 18 cytokines and 24 subpopulations of immune cells, selected on their prevalent Th1 or Th2 effect, were collected from peripheral blood. Samples were gathered at baseline (T0) and after 3 courses of nivolumab (T1) in 22 head and neck cancer patients, refractory to platinum containing therapy or in second line treatment for relapsed/metastatic disease. Data extracted at each time point have been linked to overall survival. A threshold value able to discriminate between good or poor survival, have been identified by ROC analysis. The relative value of the most promising cytokines/immune cells was determined by PCA. Results: at T0, 4 cytokines (IL-6, IL-8, IL-10, TGF-β) and 2 immune cells (CD3+ CD8+ LAG3+, CD3+CD11+HLA-DRlowCD14-) were able to discriminate between good and poor survival and allowed the identification of two clusters of patients. Conclusion: with the limitation of an exploratory analysis, this report suggests that a mixed profile of cytokine and immune cells determined at baseline, is potentially able to discriminate between patients who will benefit from nivolumab treatment and those who will do not.

Publisher

Research Square Platform LLC

Reference45 articles.

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