Evidence map›Paper›PMID 42005588›Full record

ArticleBritish journal of biomedical science2026

Challenges in Diagnosis of Lepidic Subtype in Lung Cancer According to W.H.O Classification: A Case Report.

Cuong Pham Nguyen, Long Thien Phan, Phuong Thi Phan, Do Quyen Thi Phan, Tuong Pham Nguyen, Thoi Van Dang

Abstract readCase Reports
In one paragraph

Article in British journal of biomedical science, 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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0citing papers in PubMed
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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

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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

6 authors.

Cuong Pham Nguyen *Department of Pathology, Hue Central Hospital, Hue, Vietnam.
Long Thien Phan *Department of Oncology, International Medical Center, Hue Central Hospital, Hue, Vietnam.
Phuong Thi PhanPulmonary Disease Department, Hue Central Hospital, Hue, Vietnam.
Do Quyen Thi PhanOncology Center, Hue Central Hospital, Hue, Vietnam.
Tuong Pham NguyenOncology Center, Hue Central Hospital, Hue, Vietnam.
Thoi Van DangDa Nang University of Medical Technology and Pharmacy, Da Nang, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lepidic adenocarcinoma of the lung often presents with atypical radiological patterns mimicking pneumonia, posing significant diagnostic challenges, particularly from small cytology samples. This can lead to delayed diagnosis and advanced-stage presentation. Case presentation: A 57-year-old non-smoking female presented with a persistent cough, massive sputum production, and diffuse bilateral pulmonary lesions on computed tomography scan, resembling pneumonia. The patient's condition rapidly deteriorated into acute respiratory failure unresponsive to antibiotics. A sputum cell block confirmed lung adenocarcinoma (CK7+, TTF-1+). Liquid biopsy via Next-Generation Sequencing (NGS) identified an EGFR L858R mutation (VAF 80%). First-line Osimertinib induced a dramatic clinical and radiological response within days. However, disease progression occurred after 9 months. A repeat biopsy and NGS re-evaluation revealed a persistent L858R mutation with an increased VAF (89%), without secondary resistance mutations (T790M, C797S) or bypass alterations, suggesting non-genetic resistance mechanisms. Conclusion: This case underscores the critical difficulty of diagnosing lepidic-patterned tumors in an oncological emergency. It highlights the necessity of a multidisciplinary approach, combining cytology, radiology, and early molecular testing as a surrogate for traditional histopathology to guide urgent targeted therapy.

Indexed as

Adenocarcinoma of LungLung NeoplasmsAcrylamidesAniline CompoundsErbB ReceptorsFemaleHigh-Throughput Nucleotide SequencingHumansIndolesMiddle AgedMutationPyrimidinesTomography, X-Ray ComputedAcrylamidesAniline CompoundsEGFR protein, humanErbB ReceptorsIndolesosimertinibPyrimidinesEGFR mutationslepidic adenocarcinomaosimertinibpathologyrespiratory Insufficiency

Identifiers

PMID42005588
PMCPMC13083043

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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.