Evidence map›Paper›PMID 34758872›Full record

ArticleExperimental hematology & oncology2021

MET amplification identified by next-generation sequencing and its clinical relevance for MET inhibitors.

Lun-Xi Peng, Guang-Ling Jie, An-Na Li, Si-Yang Liu, Hao Sun, Mei-Mei Zheng, Jia-Ying Zhou, Jia-Tao Zhang, Xu-Chao Zhang, Qing Zhou and 6 more

Open access · goldAbstract read
In one paragraph

Article in Experimental hematology & oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Non-small cell lung cancer withFrontiers in oncology · 2023
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  17. ALK-tyrosine kinase inhibitor intrinsic resistance due toTranslational lung cancer research · 2024
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  18. Article
  19. Targeting MET in NSCLC: An Ever-Expanding Territory.JTO clinical and research reports · 2024
    Review
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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

16 authors at 2 institutions in 1 country.

Lun-Xi Peng *The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Guang-Ling Jie *Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
An-Na LiGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Si-Yang LiuGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Hao SunGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Mei-Mei ZhengGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Jia-Ying ZhouGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Jia-Tao ZhangThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Xu-Chao ZhangThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Qing ZhouThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Wen-Zhao ZhongThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Jin-Ji YangThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Hai-Yan TuGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Jian SuGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Hong-Hong YanGuangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Yi-Long WuThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, China. syylwu@live.cn.ORCID http://orcid.org/0000-0002-3611-0258
Guangdong Academy of Medical Sciences · CNSecond Affiliated Hospital of Guangzhou Medical University · CN

Funding

the National Key R&D Program of China 2016YFC1303800the Special Fund of Public Interest, the National Health and Family Control Committee 201402031
6 · The paper itself

Abstract

backgroundMET amplification plays an important role in the development of non-small-cell lung cancer (NSCLC) either de novo or in resistance to epidermal growth factor receptor tyrosine-kinase inhibitor (EGFR-TKI) settings. Fluorescence in situ hybridization (FISH) is the standard method for MET amplification. With more and more discoveries of oncogenic driver genes, next-generation sequencing (NGS) plays a significant role in precision oncology. Meanwhile, the role of NGS in MET amplification remains uncertain.

methodsForty patients diagnosed with advanced NSCLC were included. FISH and NGS were conducted prior to MET inhibitors treatment. MET amplification by FISH was defined as a MET/CEP7 ratio of  >  2.0 and/or copy number (CN)  >  5. MET amplification by NGS was defined as gene copy number (GCN)  ≥  5.

resultsThe concordance rate among FISH and NGS was 62.5% (25/40). MET amplification identified by FISH showed the optimal predictive value. The partial response (PR) rate was 68.0% (17/25 with MET amplification) vs. 6.7% (1/15 without MET amplification); the median progression-free survival (PFS) was 5.4 months versus 1.0 months (P  < 0.001). MET amplification identified by NGS failed to distinguish significant clinical outcomes. The PR rate was 60.0% (6/10, with MET GCN  ≥ 5) vs. 40.0% (12/30, with MET GCN  < 5); the median PFS was 4.8 months vs. 2.2 months (P  = 0.357). The PR rate was 68.8% (11/16) and the median PFS was 4.8 months in patients with focal amplification by NGS.

conclusionsMET amplification identified by FISH remains the optimal biomarker to identify suitable candidates for MET-TKI therapy. In comparison, amplification identified by NGS seems not as robust to be effective predictive biomarker. Further exploration is needed regarding the focal amplification by NGS in predicting the efficacy.

Indexed as

FISH-NGSMET amplificationPredictive factorsSurvival benefits

Identifiers

PMID34758872
PMCPMC8579577
OpenAlexW3212376093

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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.