Evidence map›Paper›PMID 38730712›Full record

ArticleCancers2024

Kinetics of IFNγ-Induced Cytokines and Development of Immune-Related Adverse Events in Patients Receiving PD-(L)1 Inhibitors.

Leticia Alserawan, Maria Mulet, Geòrgia Anguera, Mariona Riudavets, Carlos Zamora, Rubén Osuna-Gómez, Jorgina Serra-López, Andrés Barba, Ivana Sullivan, Margarita Majem and 1 more

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Review
  6. Article
  7. IL-18-Mediated Tumor Immune Evasion.Current issues in molecular biology · 2026
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Leticia AlserawanImmunology-Inflammatory Diseases, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain.ORCID 0000-0003-0428-9844
Maria MuletImmunology-Inflammatory Diseases, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain.ORCID 0000-0003-3639-3291
Geòrgia AngueraDepartment of Medical Oncology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain.ORCID 0000-0002-6060-1110
Mariona RiudavetsDepartment of Medical Oncology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain.
Carlos ZamoraImmunology-Inflammatory Diseases, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain.
Rubén Osuna-GómezImmunology-Inflammatory Diseases, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain.ORCID 0000-0003-2875-4405
Jorgina Serra-LópezDepartment of Medical Oncology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain.ORCID 0000-0002-2363-7149
Andrés BarbaDepartment of Medical Oncology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain.
Ivana SullivanDepartment of Medical Oncology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain.ORCID 0000-0002-0434-3436
Margarita MajemDepartment of Medical Oncology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain.ORCID 0000-0002-9919-7485
Silvia VidalImmunology-Inflammatory Diseases, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain.ORCID 0000-0002-3909-6682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICI) have the potential to trigger unpredictable immune-related adverse events (irAEs), which can be severe. The underlying mechanisms of these events are not fully understood. As PD-L1 is upregulated by IFN, the heightened immune activation resulting from PD-1/PD-L1 inhibition may enhance the IFN response, triggering the expression of IFN-inducible genes and contributing to irAE development and its severity. In this study, we investigated the interplay between irAEs and the expression of IFN-inducible chemokines and cytokines in 134 consecutive patients with solid tumours treated with PD-(L)1 inhibitors as monotherapy or in combination with chemotherapy or other immunotherapy agents. We compared the plasma levels of IFN-associated cytokines (CXCL9/10/11, IL-18, IL-10, IL-6 and TGFβ) at various time points (at baseline, at the onset of irAE and previous to irAE onset) in three patient groups categorized by irAE development and severity: patients with serious irAEs, mild irAEs and without irAEs after PD-(L)1 inhibitors. No differences were observed between groups at baseline. However, patients with serious irAEs exhibited significant increases in CXCL9/10/11, IL-18 and IL-10 levels at the onset of the irAE compared to baseline. A network analysis and correlation patterns highlighted a robust relationship among these chemokines and cytokines at serious-irAE onset. Combining all of the analysed proteins in a cluster analysis, we identified a subgroup of patients with a higher incidence of serious irAEs affecting different organs or systems. Finally, an ROC analysis and a decision tree model proposed IL-18 levels ≥ 807 pg/mL and TGFβ levels ≤ 114 pg/mL as predictors for serious irAEs in 90% of cases. In conclusion, our study elucidates the dynamic changes in cytokine profiles associated with serious irAE development during treatment with PD-(L)1 inhibitors. The study's findings offer valuable insights into the intricate IFN-induced immune responses associated with irAEs and propose potential predictive markers for their severity.

Indexed as

anti-PD-(L)1 inhibitorscytokinesimmune checkpoint inhibitorsimmune-related adverse events (irAEs)interferonpredictive biomarkers

Identifiers

PMID38730712
PMCPMC11083441

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.