Unveiling the Immunophenotypes of Pneumonitis in Cancer Treatment Through Mass Cytometry Exploration

<bold>Background and Aims</bold> Anti-cancer treatments can result in various adverse effects, including infections due to immune suppression/dysregulation and drug-induced toxicity in the lung. One of the major opportunistic infections is Pneumocystis jirovecii pneumonia (PCP), which can cause severe respiratory complications and high mortality rates. Cytotoxic drugs and immune-checkpoint inhibitors (ICIs) can induce interstitial lung diseases (ILDs). The objective of this study was to identify biomarkers that can distinguish between these diseases and investigate their pathogenic mechanisms. <bold>Methods:</bold> An exploratory mass cytometry analysis was conducted to evaluate immune cell subsets in bronchoalveolar lavage fluid from patients with PCP (n=7), cytotoxic drug-induced ILD (DI-ILD) (n=9), and ICI-associated ILD (ICI-ILD) (n=9). Two panels were used in the analysis, containing 64 markers. <bold>Results:</bold> Expansion of the CD16+ T cell population was observed in PCP patients, with the highest proportion of CD16+ T cells observed in a fatal case. In ICI-ILD cases, there was an increase in CD57+ CD8+ T cells expressing immune checkpoints (TIGIT+ LAG3+ TIM-3+ PD-1+), FCRL5+ B cells, and CCR2+ CCR5+ CD14+ monocytes. <bold>Conclusion:</bold> These findings uncover the diverse immunophenotypes and possible pathomechanisms of cancer treatment-related pneumonitis.

Authors

Institutions

Publication Details

Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa5328
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unveiling the Immunophenotypes of Pneumonitis in Cancer Treatment Through Mass Cytometry Exploration

Toyoshi Yanagihara
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
article

Unveiling the Immunophenotypes of Pneumonitis in Cancer Treatment Through Mass Cytometry Exploration

Toyoshi Yanagihara
article en

Abstract

<bold>Background and Aims</bold> Anti-cancer treatments can result in various adverse effects, including infections due to immune suppression/dysregulation and drug-induced toxicity in the lung. One of the major opportunistic infections is Pneumocystis jirovecii pneumonia (PCP), which can cause severe respiratory complications and high mortality rates. Cytotoxic drugs and immune-checkpoint inhibitors (ICIs) can induce interstitial lung diseases (ILDs). The objective of this study was to identify biomarkers that can distinguish between these diseases and investigate their pathogenic mechanisms. <bold>Methods:</bold> An exploratory mass cytometry analysis was conducted to evaluate immune cell subsets in bronchoalveolar lavage fluid from patients with PCP (n=7), cytotoxic drug-induced ILD (DI-ILD) (n=9), and ICI-associated ILD (ICI-ILD) (n=9). Two panels were used in the analysis, containing 64 markers. <bold>Results:</bold> Expansion of the CD16+ T cell population was observed in PCP patients, with the highest proportion of CD16+ T cells observed in a fatal case. In ICI-ILD cases, there was an increase in CD57+ CD8+ T cells expressing immune checkpoints (TIGIT+ LAG3+ TIM-3+ PD-1+), FCRL5+ B cells, and CCR2+ CCR5+ CD14+ monocytes. <bold>Conclusion:</bold> These findings uncover the diverse immunophenotypes and possible pathomechanisms of cancer treatment-related pneumonitis.

Fukuoka University (JP)
Good health and well-being
Openalex Percentile: Top 62%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.