Evidence map›Paper›PMID 40679792›Full record

ReviewTargeted oncology2025

MET Alterations in Cancer and MET-Targeted Therapy: Detection Strategies, Treatment Efficacy, and Emerging Technologies.

Jieun Park, Chaithanya Chelakkot, Ji-Hye Nam, Hun Seok Lee, Chae Rin Kim, Yeonwoo Lee, Mi-Sook Lee, Yoon-La Choi, Young Kee Shin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Targeted oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Review
  2. Article
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

9 authors.

Jieun ParkResearch Institute of Pharmaceutical Science, College of Pharmacy, Seoul National University, Seoul, Republic of Korea.
Chaithanya ChelakkotResearch Institute of Pharmaceutical Science, College of Pharmacy, Seoul National University, Seoul, Republic of Korea.
Ji-Hye NamCentral Research Institute, Logone Bio-Convergence Research Foundation, Seoul, Republic of Korea.
Hun Seok LeeCichlid Corporation, Seoul, Republic of Korea.
Chae Rin KimAbion Inc, Seoul, Republic of Korea.
Yeonwoo LeeDepartment of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.
Mi-Sook LeeDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.
Yoon-La ChoiDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea. ylachoi@skku.edu.
Young Kee ShinResearch Institute of Pharmaceutical Science, College of Pharmacy, Seoul National University, Seoul, Republic of Korea. ykeeshin@snu.ac.kr.

Funding

Ministry of Education NRF-2022R1A6A1A03046247Ministry of Education RS-2024-00451303Ministry of Science and ICT, South Korea RS-2023-00217189
6 · The paper itself

Abstract

The MET signaling pathway is dysregulated in several cancers through various mechanisms, including gene mutations, amplifications, rearrangements, and protein overexpression. MET inhibitors have demonstrated clinical benefits in solid tumors including non-small-cell lung cancer (NSCLC), highlighting the importance of optimizing MET alteration detection methods and cut-off values to enhance the efficacy of MET-targeted therapies and improve patient outcomes. Research on MET alterations has primarily focused on MET exon 14 skipping mutations, MET amplification, and MET overexpression. This review summarizes the frequency of MET alterations across different cancer types and the clinical validation of MET alterations in MET-targeted therapies, offering a detailed comparison of objective response rates (ORR) for therapies including crizotinib, capmatinib, tepotinib, savolitinib, telisotuzumab vedotin, telisotuzumab adizutecan, and amivantamab. The review also addresses the challenges in detecting MET exon 14 skipping mutations, such as issues with false positives and negatives, and underscores the need for standardization in MET amplification detection. Trials vary in their cut-offs for MET gene copy number (GCN) and MET/CEP7 ratio and MET expression detection methods, leading to inconsistencies in detection. Additionally, emerging technologies such as circulating tumor DNA (ctDNA) and circulating tumor cell (CTC) analyses have been investigated for their potential to improve MET alterations detection. This review also highlights studies that demonstrate the potential of MET ctDNA and CTC analyses to predict treatment responses and identify resistance mechanisms in MET-targeted therapies.

Indexed as

Molecular Targeted TherapyNeoplasmsProto-Oncogene Proteins c-metHumansMET protein, humanProto-Oncogene Proteins c-met

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.