Longitudinal immune programs and association with toxicity burden and antitumor response during immunotherapy.

2541 Background: Immune-related adverse events (irAEs) and tumor responses often co-occur during immune checkpoint inhibitor (ICI) therapy. We investigated whether blood immune programs associated with toxicity can be temporally and biologically dissociated from response programs. Methods: ICI-naïve patients with advanced solid tumors (n=37; enriched for melanoma and NSCLC) were profiled at baseline (T0), early on-treatment (T1; week 4), and later timepoints (T2–T3); patients with irAEs had an additional sample at onset (Ttox) before immunosuppression. PBMCs were analyzed by multiparameter flow cytometry and plasma cytokines by 48-plex multiplex assay (log2). We compared timepoints and delta windows (ΔT1–ΔT3), controlled multiple testing with Benjamini–Hochberg (q<0.1), and evaluated baseline predictors from T0 alongside landmark Cox models from T1 for ΔT1 predictors to avoid immortal-time bias; baseline multiple-irAE signatures were tested in penalized multivariable models with clinical covariates. Results: irAEs occurred in 20/37 (54%) patients (grade ≥3: 8/37, 22%); multiple irAEs occurred in 14/37 (38%). Objective response occurred in 15/37 (41%), and 10/15 (67%) responders developed irAEs; median time to first irAE was 86 days (IQR 63–108). Baseline multiple-irAE susceptibility centered on Tfh states (higher Tfh1/Tfh17 PD1+ICOS− and lower Tfh1 PD1−ICOS+), and a MultiTox signature predicted multiple irAEs (OR 5.46; p=0.033). Early dynamics strengthened toxicity prediction: ΔT1 Tfh2 PD1+ICOS− decreased in AnyTox/MultipleTox and predicted subsequent irAEs (HR 0.41; p=0.0019), whereas ΔT1 PDGF-BB (log2) increased risk (HR 2.25; p=0.006). Approaching onset, activated regulatory compartments (activated Treg and Tfr) contracted, followed at Ttox by a surge in IFN-inducible CXCR3 chemokines (CXCL9/MIG p=3.1×10⁻⁵; CXCL10/IP-10 p=0.0021), consistent with a Th1/IFN axis. In contrast, response-associated programs emerged later and reflected a Tfh/B cell–activated CD8 axis (memory B at T1 p=0.036; ΔT2 Tfh2 PD1−ICOS− q<0.1, p=0.0010; ΔT2 eosinophils q<0.1, p=0.0071) and remained independently associated with response (p≈0.02–0.03). Conclusions: Toxicity—particularly high-burden toxicity—appears to reflect a baseline susceptibility that is amplified by early on-treatment immune trajectories and culminates in a chemokine-rich onset state. In contrast, response-associated programs emerge later and are at least partly dissociable from high-burden toxicity. Distinct Tfh states—especially early Tfh2 dynamics—may support timing-informed monitoring and improved benefit–risk stratification during ICI therapy.

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Journal
Journal of Clinical Oncology
Published
2026-05-27
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.2541
Primary Topic
Cancer Immunotherapy and Biomarkers
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article
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article

Longitudinal immune programs and association with toxicity burden and antitumor response during immunotherapy.

Thierry Berghmans, Mariana Brandão, Louis Wolff, Anouk Goudsmit et al.
Journal of Clinical Oncology
Cancer Immunotherapy and Biomarkers
article

Longitudinal immune programs and association with toxicity burden and antitumor response during immunotherapy.

Thierry Berghmans, Mariana Brandão, Louis Wolff, Anouk Goudsmit, Mario Stabile, Mireille Langouo Fontsa, Anaïs Boisson, Soizic Garaud, Doïna Sofronii, Jérémy Blanc, Andrea Garavello, Maxime Ilzkovitz, Francine Padonou, Thila Vanhulst, Pauline Delvaux, Loïc Baudelet, Karen Willard-Gallo, Anne-Pascale Meert, Ahmad Awada
article en

Abstract

2541 Background: Immune-related adverse events (irAEs) and tumor responses often co-occur during immune checkpoint inhibitor (ICI) therapy. We investigated whether blood immune programs associated with toxicity can be temporally and biologically dissociated from response programs. Methods: ICI-naïve patients with advanced solid tumors (n=37; enriched for melanoma and NSCLC) were profiled at baseline (T0), early on-treatment (T1; week 4), and later timepoints (T2–T3); patients with irAEs had an additional sample at onset (Ttox) before immunosuppression. PBMCs were analyzed by multiparameter flow cytometry and plasma cytokines by 48-plex multiplex assay (log2). We compared timepoints and delta windows (ΔT1–ΔT3), controlled multiple testing with Benjamini–Hochberg (q<0.1), and evaluated baseline predictors from T0 alongside landmark Cox models from T1 for ΔT1 predictors to avoid immortal-time bias; baseline multiple-irAE signatures were tested in penalized multivariable models with clinical covariates. Results: irAEs occurred in 20/37 (54%) patients (grade ≥3: 8/37, 22%); multiple irAEs occurred in 14/37 (38%). Objective response occurred in 15/37 (41%), and 10/15 (67%) responders developed irAEs; median time to first irAE was 86 days (IQR 63–108). Baseline multiple-irAE susceptibility centered on Tfh states (higher Tfh1/Tfh17 PD1+ICOS− and lower Tfh1 PD1−ICOS+), and a MultiTox signature predicted multiple irAEs (OR 5.46; p=0.033). Early dynamics strengthened toxicity prediction: ΔT1 Tfh2 PD1+ICOS− decreased in AnyTox/MultipleTox and predicted subsequent irAEs (HR 0.41; p=0.0019), whereas ΔT1 PDGF-BB (log2) increased risk (HR 2.25; p=0.006). Approaching onset, activated regulatory compartments (activated Treg and Tfr) contracted, followed at Ttox by a surge in IFN-inducible CXCR3 chemokines (CXCL9/MIG p=3.1×10⁻⁵; CXCL10/IP-10 p=0.0021), consistent with a Th1/IFN axis. In contrast, response-associated programs emerged later and reflected a Tfh/B cell–activated CD8 axis (memory B at T1 p=0.036; ΔT2 Tfh2 PD1−ICOS− q<0.1, p=0.0010; ΔT2 eosinophils q<0.1, p=0.0071) and remained independently associated with response (p≈0.02–0.03). Conclusions: Toxicity—particularly high-burden toxicity—appears to reflect a baseline susceptibility that is amplified by early on-treatment immune trajectories and culminates in a chemokine-rich onset state. In contrast, response-associated programs emerge later and are at least partly dissociable from high-burden toxicity. Distinct Tfh states—especially early Tfh2 dynamics—may support timing-informed monitoring and improved benefit–risk stratification during ICI therapy.

Journal of Clinical OncologyVol. 44(16_suppl)
Université Libre de Bruxelles (BE), University of Milan (IT), Institut Jules Bordet (BE), Laboratoire de Mathématiques de Bretagne Atlantique (FR), Centre Hospitalier Interrégional Edith Cavell (BE), University of Genoa (IT)
Good health and well-being
Openalex Percentile: Top 10%
Cancer Immunotherapy and Biomarkers
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