Evidence map›Paper›PMID 41326340›Full record

Trial reportSignal transduction and targeted therapy2025

A prospective, multicenter, comprehensive genomic profile signature study in patients with EGFR-mutant advanced non-small cell lung cancer at the first-line treatment failure of osimertinib.

Yuankai Shi, Dongqing Lv, Weineng Feng, Shuoyan Liu, Puyuan Xing, Yan Yu, Jun Yin, Xiubao Ren, Junqiang Zhang, Gaohua Han and 6 more

Registry-linked trialAbstract readClinical Trial, Phase IVMulticenter Study
In one paragraph

Trial report in Signal transduction and targeted therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05219162 (Gene Profile in EGFRm Locally Advanced or Metastatic NSCLC Patients Post Osimertinib 1L Treatment Failure), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT05219162 phase4completednot on this map

Gene Profile in EGFRm Locally Advanced or Metastatic NSCLC Patients Post Osimertinib 1L Treatment Failure: A Real-world, Multi-center Study (GPS)

TypeinterventionalSponsorAstraZenecaRan2022 to 2024Enrolled182ConditionsAdvanced NSCLCArmsGene Profile explore
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Targeting ClassicalCancers · 2026
    Review
  3. Review
  4. Review
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  7. Review
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  9. Review
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

16 authors.

Yuankai ShiDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China. syuankai@cicams.ac.cn.ORCID 0000-0002-3342-4964
Dongqing LvDepartment of Breath Internal Medicine, Taizhou Hospital of Zhejiang Province, Taizhou, People's Republic of China.
Weineng FengPulmonary Oncology Department, The First People's Hospital of Foshan, Foshan, People's Republic of China.
Shuoyan LiuDepartment of Thoracic Oncology Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, People's Republic of China.
Puyuan XingDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
Yan YuDepartment of Respiratory Medicine, Harbin Medical University Cancer Hospital, Harbin, People's Republic of China.
Jun YinPulmonary and Critical Care Medicine, The Third People's Hospital of Chengdu, Southwest Jiaotong University, Chongqing Medical University, Chengdu, People's Republic of China.
Xiubao RenDepartment of Biotherapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.ORCID 0000-0003-4137-2049
Junqiang ZhangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei, People's Republic of China.
Gaohua HanDepartment of Oncology, The People's Hospital of Taizhou, Taizhou Medical School, Jiangsu and Nantong University, Taizhou, People's Republic of China.
Yongchang ZhangDepartment of Lung/Gastrointestinal Oncology, Hunan Cancer Hospital, Xiangya School of Medicine, Central South University, Changsha, People's Republic of China.
Shundong CangDepartment of Oncology, Henan Provincial People's Hospital, Zhengzhou, People's Republic of China.
Jun ChenDepartment of Oncology, The Second Hospital of Dalian Medical University, Dalian, The People's Republic of China.
Enguo ChenDepartment of Pulmonary and Critical Care Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Lingxin MengDepartment of Oncology, Rizhao People's Hospital, Rizhao, People's Republic of China.
Yong ZhangDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osimertinib, the first approved third-generation epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI), exhibits notable efficacy in EGFR-mutant non-small cell lung cancer (NSCLC). This is a prospective, multicenter, comprehensive genomic profile signature (GPS) study in paired tissue and plasma samples from 149 patients with advanced NSCLC harboring EGFR exon 19 deletion (Ex19del) or L858R mutation at the first-line treatment failure of osimertinib (NCT05219162). Next-generation sequencing (NGS) was used for comprehensive GPS analysis of paired tissue and plasma samples. Fluorescence in situ hybridization (FISH) and next-generation sequencing (NGS) were used for tissue samples, while droplet digital polymerase chain reaction (ddPCR) and NGS were used for plasma samples to perform a concordance analysis of MET amplification. At the first-line treatment failure of osimertinib (study entry), EGFR alterations in tissue samples included EGFR Ex19del (49.0%, 73/149), EGFR L858R mutation (43.0%, 64/149), EGFR amplification (32.9%, 49/149), EGFR L718Q/V mutation (4.7%, 7/149), and EGFR C797S mutation (3.4%, 5/149); bypass signaling activation and downstream pathway activation alterations included TP53 mutation (69.8%, 104/149) and MET amplification (30.9%, 46/149). Among the 136 patients with EGFR Ex19del/L858R mutation in tissue samples, 72.1% (98/136), 35.3% (48/136), and 32.4% (44/136) had TP53 mutations, EGFR amplification, and MET amplification, respectively. Taking tissue samples as references, the GPS in plasma samples showed high specificity (90.7-100%) for almost all genomic alterations. Compared with FISH (gene copy number [GCN] ≥10), the overall percent agreement of tissue NGS, optimized tissue NGS (GCN ≥ 8.63), plasma NGS, and plasma ddPCR for MET amplification were 75.0% (27/36), 100% (36/36), 88.9% (32/36), and 94.4% (34/36), respectively. This study represents the largest-scale, prospective study with paired tissue and plasma samples to enable comprehensive analysis of GPS, providing a novel perspective into coalterations at the first-line treatment failure of osimertinib. A plasma sample serves as a supplement for identifying GPS when a tissue sample is unavailable. Moreover, the integration of FISH, NGS, and ddPCR provided a comprehensive assessment of MET amplification.

Indexed as

AcrylamidesAniline CompoundsCarcinoma, Non-Small-Cell LungLung NeoplasmsAdultAgedAged, 80 and overErbB ReceptorsFemaleHigh-Throughput Nucleotide SequencingHumansIndolesMaleMiddle AgedMutationProspective StudiesAcrylamidesAniline CompoundsEGFR protein, humanErbB ReceptorsIndolesosimertinibPyrimidines

Identifiers

PMID41326340
PMCPMC12669594

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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.