Evidence map›Paper›PMID 42220682›Full record

ArticleCureus2026

Leptomeningeal Carcinomatosis During Dose-Reduced Osimertinib Therapy in Epidermal Growth Factor Receptor (EGFR) L858R-Mutated Lung Adenocarcinoma: A Case Report.

Yu Tsukasa, Yukihiro Sugimoto, Takayuki Yamamoto, Ryota Aoki, Hirofumi Nakano

Abstract readCase Reports
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yu TsukasaDepartment of Respiratory Medicine, Fukuoka Seisyukai Hospital, Fukuoka, JPN.
Yukihiro SugimotoDepartment of Respiratory Medicine, Fukuoka Seisyukai Hospital, Fukuoka, JPN.
Takayuki YamamotoDepartment of Respiratory Medicine, Fukuoka Seisyukai Hospital, Fukuoka, JPN.
Ryota AokiDepartment of Respiratory Medicine, Fukuoka Seisyukai Hospital, Fukuoka, JPN.
Hirofumi NakanoDepartment of Respiratory Medicine, Fukuoka Seisyukai Hospital, Fukuoka, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leptomeningeal carcinomatosis (LMC) remains a devastating complication of epidermal growth factor receptor (EGFR)-mutated non-small cell lung cancer despite the availability of central nervous system (CNS)-active EGFR tyrosine kinase inhibitors (TKIs). We report the case of a 77-year-old woman with EGFR L858R-mutated lung adenocarcinoma (cT1cN3M1c stage IVB) who initiated first-line osimertinib 80 mg/day. Severe hematologic toxicity required sequential dose reductions to 40 mg/day and subsequently 40 mg every other day. Although extracranial disease remained well controlled, the patient developed LMC three months after treatment initiation, accompanied by a rapid rise in carcinoembryonic antigen and sialyl Lewis X levels. Erlotinib 150 mg/day was introduced based on reports of dose‑dependent CNS efficacy, resulting in prompt improvement of neurological symptoms; however, grade 3 thrombocytopenia led to treatment interruption, followed by rapid neurological decline and death. This case illustrates that reduced‑dose EGFR TKI therapy, even with a CNS‑penetrant agent such as osimertinib, may provide insufficient cerebrospinal fluid drug exposure to prevent CNS progression. Clinicians should recognize that dose modification necessitated by adverse events may compromise CNS control, and vigilant monitoring for neurological symptoms is essential in patients receiving reduced‑dose EGFR TKIs.

Indexed as

egfr-mutant lung adenocarcinomaegfr tyrosine kinase inhibitorsleptomeningeal carcinomatosisnon-small cell lung cancerthrombocytopenia

Identifiers

PMID42220682
PMCPMC13218829

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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.