Evidence map›Paper›PMID 37326363›Full record

ArticleCancer medicine2023

Molecular characterization of MET fusions from a large real-world Chinese population: A multicenter study.

Hui Xia, Junhua Zhang, Tong Chen, Mingzhao Wang, Dongna Chen, Tongguo Si, Yutao Liu

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

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  5. Translational lung cancer research · 2024
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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

7 authors at 5 institutions in 1 country.

Hui XiaThoracic Surgery Department, The Fourth Medical Center of PLA General Hospital, Beijing, China.
Junhua ZhangDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Tong ChenDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Mingzhao WangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Dongna ChenDepartment of Medical Oncology, Sanhuan Cancer Hospital of Chaoyang District, Beijing, China.
Tongguo SiDepartment of Interventional Treatment, Tianjin Medical University Cancer Hospital and Institute, Tianjin, China.
Yutao LiuDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID 0000-0001-6477-9875
Chinese Academy of Medical Sciences & Peking Union Medical College · CNCancer Hospital of Huanxing Chaoyang District Beijing · CNChinese PLA General Hospital · CNShanghai Medical College of Fudan University · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMET is a notable driver gene in the diversity of aberrations with clinical relevance, including exon 14 skipping, copy number gain, point mutations, and gene fusions. Compared with the former two, MET fusions are severely under-reported, leaving a series of unanswered questions. In this study, we addressed this gap by characterizing MET fusions in a large, real-world Chinese cancer population.

methodsWe retrospectively included patients with solid tumors who had DNA-based genome profiles acquired through targeted sequencing from August 2015 to May 2021. MET fusion-positive (MET+) patients were subsequently selected for clinical and molecular characterization.

resultsWe screened 79,803 patients across 27 tumor types and detected 155 putative MET fusions from 122 patients, resulting in an overall prevalence of 0.15%. Lung cancer comprised the majority of MET+ patients (92, 75.4%). Prevalence was markedly higher in liver cancer, biliary tract cancer, and renal cancer (range 0.52%-0.60%). It was lower in ovarian cancer (0.06%). A substantial proportion (48/58, 82.8%) of unique partners were reported for the first time. High heterogeneity was observed for partners, with ST7, HLA-DRB1, and KIF5B as the three most common partners. Mutational landscape analysis of lung adenocarcinoma (n = 32) revealed a high prevalence of TP53 in MET+ alterations, EGFR L858R, EGFR L861Q, and MET amplification.

conclusionTo our knowledge, this is currently the largest study in characterizing MET fusions. Our findings warrant that further clinical validation and mechanistic study may translate into therapeutic avenues for MET+ cancer patients.

Indexed as

Adenocarcinoma of LungLung NeoplasmsEast Asian PeopleErbB ReceptorsHumansMutationNeoplasmsProto-Oncogene Proteins c-metRetrospective StudiesErbB ReceptorsMET protein, humanProto-Oncogene Proteins c-metKIF5B-METlung cancerMET fusionnovel partnersprevalence

Identifiers

PMID37326363
PMCPMC10358190
OpenAlexW4380869532

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Registered trials

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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.