ArticleBMC pulmonary medicine2017
Case report: continued treatment with alectinib is possible for patients with lung adenocarcinoma with drug-induced interstitial lung disease.
Article in BMC pulmonary medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Drug-induced eosinophilic pneumonia: a real-world data mining study of the FAERS and Vigibase database reveals potential safety signals and risk patterns.Frontiers in medicine · 2026Article
- Exploring cellular plasticity and resistance mechanisms in lung cancer: Innovations and emerging therapies.Journal of pharmaceutical analysis · 2025Review
- A non-small cell lung carcinoma patient responded to crizotinib therapy after alectinib-induced interstitial lung disease.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2023Article
- [Early Onset Pulmonary Events and Management Strategies during the Treatment of ALK Positive NSCLC Patients with Brigatinib].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023Article
- Case report: Indolent drug-related pneumonitis with alectinib therapy in the treatment of non-small cell lung cancer.Frontiers in pharmacology · 2022Article
- Safety of lorlatinib following alectinib-induced pneumonitis in two patients withTranslational lung cancer research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlectinib, a second-generation anaplastic lymphoma kinase (ALK) inhibitor, is a key drug for ALK rearranged lung adenocarcinoma. Interstitial lung disease (ILD) is an important adverse effect of alectinib, which generally requires termination of treatment. However, we treated two patients with drug-induced ILD who continued to receive alectinib. CASE PRESENTATION: Patient 1 was a 57-year-old male with an ALK-rearranged Stage IV lung adenocarcinoma who was administered alectinib as first-line therapy. Computed tomography (CT) detected asymptomatic ground-glass opacity (GGO) on day 33 of treatment. Alectinib therapy was therefore discontinued for 7 days and then restarted. GGO disappeared, and the progression of ILD ceased. Patient 2 was a 64-year-old woman with an ALK-positive lung adenocarcinoma who was administered alectinib as third-line therapy. One year later, CT detected GGO; and she had a slight, nonproductive cough. Alectinib therapy was continued in the absence of other symptoms, and GGO slightly diminished after 7 days. Two months later, CT detected increased GGO, and alectinib therapy was continued. GGO diminished again after 7 days. The patient has taken alectinib for more than 2 years without progression of ILD.
conclusionsCertain patients with alectinib-induced ILD Grade 2 or less may continue alectinib therapy if they are closely managed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.