TY - JOUR
T1 - MET Alterations in Cancer and MET-Targeted Therapy
T2 - Detection Strategies, Treatment Efficacy, and Emerging Technologies
AU - Park, Jieun
AU - Chelakkot, Chaithanya
AU - Nam, Ji Hye
AU - Lee, Hun Seok
AU - Kim, Chae Rin
AU - Lee, Yeonwoo
AU - Lee, Mi Sook
AU - Choi, Yoon La
AU - Shin, Young Kee
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.
PY - 2025/9
Y1 - 2025/9
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105010955019
U2 - 10.1007/s11523-025-01166-0
DO - 10.1007/s11523-025-01166-0
M3 - Review article
C2 - 40679792
AN - SCOPUS:105010955019
SN - 1776-2596
VL - 20
SP - 767
EP - 789
JO - Targeted Oncology
JF - Targeted Oncology
IS - 5
ER -