ORIGINAL RESEARCH article

Front. Med.

Sec. Pulmonary Medicine

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1582714

Bronchoalveolar lavage cell percentages as diagnostic markers of immune checkpoint inhibitor pneumonitis

Provisionally accepted
Mahnoor  MirMahnoor Mir1*Felipe  SotoFelipe Soto2Pedro  GomezPedro Gomez2Rodrigo  Del Rio ArroyoRodrigo Del Rio Arroyo2Adarsh  SureshAdarsh Suresh3Amber  SuAmber Su4Qiong  GanQiong Gan4John  StewartJohn Stewart4Roberto  AdachiRoberto Adachi4Diwakar  BalachandranDiwakar Balachandran4Lara  BashouraLara Bashoura4Roberto  CasalRoberto Casal4Burton  F DickeyBurton F Dickey4George  EapenGeorge Eapen4Scott  E EvansScott E Evans4Horiana  GrosuHoriana Grosu4Carlos  A JimenezCarlos A Jimenez4Julie  LinJulie Lin4David  OstDavid Ost4Bruce  SabathBruce Sabath4Vickie  ShannonVickie Shannon4Aung  NaingAung Naing4Jianjun  GaoJianjun Gao4Jia  WuJia Wu4Karthik  SureshKarthik Suresh5Saadia  A FaizSaadia A Faiz4Mehmet  AltanMehmet Altan4Ajay  SheshadriAjay Sheshadri4
  • 1University of Texas Health Science Center at Houston, Houston, United States
  • 2School of medicine, Tecnológico de Monterrey,, Monterrey, Mexico
  • 3Texas A and M University, College Station, Texas, United States
  • 4University of Texas MD Anderson Cancer Center, Houston, Texas, United States
  • 5Johns Hopkins Medicine, Johns Hopkins University, Baltimore, Maryland, United States

The final, formatted version of the article will be published soon.

Diagnostic biomarkers for immune checkpoint inhibitor pneumonitis (ICIP) are lacking. Bronchoalveolar lavage (BAL) lymphocytosis has been associated with ICIP, but studies have not evaluated BAL lymphocytosis as a diagnostic biomarker for ICIP.To measure the association of BAL immune cell percentage with ICIP and test its performance as a diagnostic biomarker.We performed a retrospective chart review of 476 patients treated with ICI for solid organ or hematologic malignancies who underwent BAL between 2016 and 2022. Two independent reviewers, blinded to results of BAL cell percentage, confirmed the diagnosis of ICIP or other conditions (e.g., pneumonia) based on clinical history and radiology. We constructed logistic regression models to assess the relationship between BAL lymphocyte, eosinophil, and neutrophil percentages and the diagnosis of pneumonitis, and the area under the receiver-operator curves (AUROC) was used to assess their discriminatory function. We measured the association of BAL immune cell percentages with one-year overall survival using Cox proportional hazards models adjusted for age and cancer diagnosis.Each 1% increase in lymphocyte (OR 1.01, 95% CI 1.011.02, p < 0.001) and eosinophil percentage (OR 1.05, 95% CI 1.01-1.11, p = 0.01) were independently associated with pneumonitis, while neutrophil percentage was inversely associated (OR 0.99, 95% CI 0.98-0.99, p = 0.01) with pneumonitis. In multivariable analysis, lymphocyte percentage (OR 1.02, 95% CI 1.009-1.04, p = 0.002) and eosinophil percentage (OR 1.10, 95% CI 1.01-1.23, p = 0.05) were both associated with ICIP. The AUROC for BAL lymphocytes to diagnose ICIP was 0.62 (95% CI, 0.57-0.67, optimal cutoff 15.5%, sensitivity 69%, specificity 52%) and the AUROC for eosinophils was 0.61 (95% CI, 0.56-0.66, optimal cutoff 1%, sensitivity 58%, specificity 62%). In patients with pneumonitis, lymphocyte percentage (HR 0.99, 95% CI 0.97-1.00, p=0.02), neutrophil percentage (HR 1.01, 95% CI 1.00-1.02, p=0.05), and eosinophil percentage (HR 0.93, 95% CI 0.86-0.99, p=0.03) were associated with one-year survivalBAL lymphocytosis and eosinophilia are associated with ICIP, but their ability to discriminate ICIP from other conditions is modest. BAL immune cell percentages may have prognostic value for one-year survival, but this likely reflects the morbidity of other pulmonary diseases that require BAL for evaluation.

Keywords: Immune check inhibitor (ICI), BAL (bronchoalveolar lavage), Lymphocytosis, Pneumonitis, Eosinophilia, cell percentage

Received: 05 Mar 2025; Accepted: 14 May 2025.

Copyright: © 2025 Mir, Soto, Gomez, Arroyo, Suresh, Su, Gan, Stewart, Adachi, Balachandran, Bashoura, Casal, Dickey, Eapen, Evans, Grosu, Jimenez, Lin, Ost, Sabath, Shannon, Naing, Gao, Wu, Suresh, Faiz, Altan and Sheshadri. 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) or licensor 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.

* Correspondence: Mahnoor Mir, University of Texas Health Science Center at Houston, Houston, United States

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