Evidence map›Paper›PMID 42516366›Full record

ArticleFrontiers in immunology2026

Disproportionality analysis of drug-related interstitial lung disease in patients with head and neck squamous cell carcinoma: a signal mining study.

Jie Ju, Zhongfen Liu, Lin Cao, Lina Xia, Pei Zhang, Yanfei Wang

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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Jie Ju *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Day Oncology Unit, Peking University Cancer Hospital and Institute, Beijing, China.
Zhongfen Liu *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Supportive Care, Peking University Cancer Hospital and Institute, Beijing, China.
Lin CaoKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Day Oncology Unit, Peking University Cancer Hospital and Institute, Beijing, China.
Lina XiaKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Supportive Care, Peking University Cancer Hospital and Institute, Beijing, China.
Pei ZhangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Supportive Care, Peking University Cancer Hospital and Institute, Beijing, China.
Yanfei WangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Day Oncology Unit, Peking University Cancer Hospital and Institute, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the widespread use of novel therapeutic agents, an increasing number of drugs have been confirmed to be associated with interstitial lung disease (ILD). However, real-world evidence regarding ILD reporting signals in patients with head and neck squamous cell carcinoma (HNSCC) remains limited. Methods: We performed a signal mining study using data from the FDA Adverse Event Reporting System (FAERS) database from Q1 2004 to Q1 2025. Eligible adverse event reports related to ILD in HNSCC patients were included. Disproportionality analysis was performed using the combination of reporting odds ratio (ROR) and information component (IC). Time to onset (TTO) was analyzed using descriptive statistics and Weibull distribution modeling. Results: A total of 513 patients with ILD related to HNSCC treatment in the FAERS database were included. The median age was 68.00 years (IQR 60.00-75.00), the median weight was 56.00kg (IQR 47.80-68.00), and a total of 42 drugs were involved. Based on ROR and IC, three drugs showed definite positive ILD signals: cetuximab [ROR = 1.46 (95%CI: 1.22-1.74), IC = 0.36 (95%CI: 0.12-0.60)], nivolumab [ROR = 1.67 (95%CI: 1.35-2.06), IC = 0.61 (95%CI: 0.30-0.90)], and pembrolizumab [ROR = 2.39 (95%CI: 1.93-2.96), IC = 1.06 (95%CI: 0.74-1.35)]. In addition, etoposide showed a positive ROR [ROR = 4.51 (95%CI: 1.41-14.43)] but a negative IC [IC = 2.11 (95%CI: -0.26-2.72)]. Drug class analysis revealed that anti-EGFR monoclonal antibodies [ROR = 1.45 (95%CI: 1.21-1.72), IC = 0.35 (95%CI: 0.11-0.59)] and PD-1/PD-L1 inhibitors [ROR = 2.14 (95%CI: 1.80-2.54), IC = 0.72 (95%CI: 0.49-0.95)] were classes with positive safety signals for ILD. The median TTO was 32.00 days (IQR 14.00-73.50), α=61.70 (95%CI 52.98-71.85), β=0.83 (95%CI 0.76-0.90), and ILD was mainly characterized by early onset. Conclusion: ILD reports associated with HNSCC treatment were mainly concentrated among anti-EGFR monoclonal antibodies and PD-1/PD-L1 inhibitors, with the early treatment stage representing a critical window that warrants strengthened monitoring for ILD in clinical practice. Given spontaneous reporting data, causality cannot be confirmed and further verification is required.

Indexed as

Head and Neck NeoplasmsLung Diseases, InterstitialSquamous Cell Carcinoma of Head and NeckAdverse Drug Reaction Reporting SystemsAgedAntibodies, Monoclonal, HumanizedCetuximabDatabases, FactualData MiningFemaleHumansImmune Checkpoint InhibitorsMaleMiddle AgedAntibodies, Monoclonal, HumanizedCetuximabImmune Checkpoint Inhibitorscetuximabdisproportionality analysishead and neck squamous cell carcinomainterstitial lung diseasePD-1/PD-L1 inhibitor

Identifiers

PMID42516366
PMCPMC13402548

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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.