Evidence map›Paper›PMID 42205749›Full record

ArticleFrontiers in oncology2026

Case Report: Personalized treatment in an advanced lung adenocarcinoma patient with EGFR exon 21 L858R mutations based on the patient-derived tumor organoids.

Fan Zhang, Yuxiang Wang, Xi Zhang, Yuting Bai, Li Zhang, Shuqing Wei

Abstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 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

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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fan ZhangDepartment of Comprehensive Medicine, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Yuxiang WangUltrasonic Department, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Xi ZhangDepartment of Comprehensive Medicine, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Yuting BaiDepartment of Comprehensive Medicine, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Li ZhangDepartment of Comprehensive Medicine, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Shuqing WeiDepartment of Comprehensive Medicine, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the most frequently diagnosed cancer and the leading cause of cancer deaths worldwide. Despite substantial therapeutic advances, the prognosis of lung cancer patients remains dismal. Here, we report a case of advanced lung adenocarcinoma harboring EGFR exon 21 L858R mutations who finally achieved partial response (PR) in the lung lesion following patient-derived tumor organoid (PDTO)-guided personalized therapy, even after multiple lines of systemic treatment. In May 2021, a 52-year-old woman was diagnosed with right lung adenocarcinoma (cT3N2M1c IVB), accompanied by multiple metastases. Although Osimertinib was initiated as first-line therapy based on the identified EGFR exon 21 L858R mutations, the patient experienced disease progression. Subsequent treatment with ivonescimab plus pemetrexed disodium was administered, but disease progression persisted. Based on serial organoid drug sensitivity testing, repeated adjustments to the therapeutic regimen were made, and the patient ultimately achieved PR in the lung lesion. Our case demonstrates that the lung cancer organoids serve as a powerful preclinical platform for individualized treatment selection in patients with advanced lung adenocarcinoma via rapid functional drug screening. This personalized strategy shows great potential to optimize clinical outcomes for heavily pretreated patients.

Indexed as

advanced lung adenocarcinomaEGFR mutationspatient-derived tumor organoidspersonalized treatmentsacituzumab govitecan

Identifiers

PMID42205749
PMCPMC13201197

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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.