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. 2020 Feb 7;11:125. doi: 10.3389/fimmu.2020.00125

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Copyright © 2020 Ottonello, Genova, Cossu, Fontana, Rijavec, Rossi, Biello, Dal Bello, Tagliamento, Alama, Coco, Boccardo, Vanni, Ferlazzo, Moretta, Grossi, Mingari, Carrega and Pietra.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Correlation between baseline PB lymphocyte subsets and survival (n = 73). (A) Caterpillar plots showing the impact of each immune biomarker evaluated at baseline on overall survival (OS), RECIST, and irRC PFS. HR and corresponding 95% CL were derived from a Cox regression analysis adjusted for gender, age at enrollment, time since diagnosis, ECOG-PS, number of previous treatments and histotype. Vertical line at HR = 1 divides HR associated with a better prognosis (left side) from those associated with a worsen prognosis (right side). (B) Kaplan-Meier survival curves illustrating the prognostic effect on OS of CD3⁺ T cells and CD56⁺ CD3⁻ NK cells frequencies, and CD8⁺/CD39⁺ Treg ratio for patients with higher (dotted lines) and lower (solid lines) values. (C) Kaplan–Meier survival curves for patients with high or low expression of PD-1 on CD3⁺ T cells and on CD8⁺ T cells. (B,C) The median values used as thresholds for categorizing immune biomarkers are indicated in the scatter plots on the left side of each curve.