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Updated: Sep 8, 2025

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
MET Alterations in Cancer and MET-Targeted Therapy: Detection Strategies, Treatment Efficacy, and Emerging
Jieun Park1, Chaithanya Chelakkot1, Ji-Hye Nam2
1Research Institute of Pharmaceutical Science, College of Pharmacy, Seoul National University, Seoul, Republic of Korea.
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.
Insights
MET signaling pathway dysregulation drives cancer. Optimizing detection of MET alterations, like mutations and amplifications, is key for effective targeted therapies and improved patient outcomes in various cancers.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- The MET signaling pathway is frequently dysregulated in cancer via mutations, amplifications, rearrangements, and overexpression.
- MET inhibitors show clinical efficacy in solid tumors, notably non-small-cell lung cancer (NSCLC).
Purpose of the Study:
- To review the frequency and clinical validation of MET alterations in various cancer types.
- To compare the efficacy of different MET-targeted therapies based on objective response rates (ORR).
- To address challenges in MET alteration detection and explore emerging technologies.
Main Methods:
- Literature review summarizing frequency of MET alterations across cancers.
- Comparative analysis of objective response rates (ORR) for various MET inhibitors.
- Discussion of challenges in detecting MET exon 14 skipping mutations and MET amplification.
- Exploration of circulating tumor DNA (ctDNA) and circulating tumor cell (CTC) analyses.
Main Results:
- MET alterations, including exon 14 skipping, amplification, and overexpression, are common in diverse cancers.
- Clinical trials show variable objective response rates (ORR) for MET inhibitors like crizotinib, capmatinib, and tepotinib.
- Inconsistencies exist in MET alteration detection methods and cut-off values across studies.
- Emerging technologies like ctDNA and CTC analyses show promise for improved detection and response prediction.
Conclusions:
- Standardized detection methods for MET alterations are crucial for optimizing targeted therapy efficacy.
- ctDNA and CTC analyses offer potential for non-invasive detection, treatment response prediction, and resistance mechanism identification.
- Further research is needed to refine detection strategies and improve patient outcomes in MET-targeted cancer therapy.
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