Evidence map›Paper›PMID 41644647›Full record

ArticleNPJ precision oncology2026

Comparative analysis of ctDNA monitoring strategies in advanced NSCLC with MET exon 14 skipping mutations treated with ensartinib.

Mo Zhou, Yin Zhu, Xuqi Sun, Ying Han, Rui Jin, Panwen Tian, Jun Zhao, Yang Jin, Zhiyuan Guo, Yongchang Zhang and 6 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Mo Zhou *Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yin Zhu *Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xuqi SunDepartment of Medical Oncology, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Ying HanKey Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Rui JinKey Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Panwen TianDepartment of Pulmonary and Critical Care Medicine, Lung Cancer Center/Lung Cancer Institute, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Jun ZhaoDepartment of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China.
Yang JinHubei Province Key Laboratory of Biological Targeted Therapy, Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Zhiyuan GuoSecond Oncology Department, Handan Central Hospital, Handan, Hebei, China.
Yongchang ZhangDepartment of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Yiran MengHangzhou Astrocyte Technology Co,.Ltd, Hangzhou, Zhejiang, China.
Fei LiuHangzhou Astrocyte Technology Co,.Ltd, Hangzhou, Zhejiang, China.
Wen LiKey Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xiuning LeDepartment of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Haifeng ShenDepartment of Thoracic Surgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. shenhaifeng@zju.edu.cn.
Yang XiaKey Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. yxia@zju.edu.cn.

Funding

Beijing Xisike Clinical Oncology Research Y-2024AZ(NSCLC)MS-0200the National Natural Science Foundation of China 82370028the National Natural Science Foundation of China 82403366
6 · The paper itself

Abstract

Mesenchymal-epithelial transition exon 14 skipping mutations (METex14) define a targetable molecular subset of non-small cell lung cancer (NSCLC), but optimal circulating tumor DNA (ctDNA) biomarkers to guide MET tyrosine kinase inhibitor therapy remain undefined. Within the EMBRACE trial of ensartinib, we conducted a prospective biomarker analysis with plasma collected at baseline (V0) and 4 weeks after treatment initiation (V1). ctDNA was profiled using a hybrid-capture next-generation sequencing panel covering 229 cancer-related genes, and mutations were classified into three monitoring paradigms: MET-specific alterations, canonical alterations (tier I/II), and pan-alterations (any variant in any gene on the panel). Baseline ctDNA positivity rates were 48.3%, 48.3%, and 75.9% for MET-specific, canonical, and pan-alterations, respectively, and declined across all categories at V1. Conversion to ctDNA negativity in any paradigm was associated with a tendency toward higher objective response rate (ORR) and longer progression-free survival (PFS). Moreover, clearance of MET-specific alterations conferred the greatest clinical benefit, with an ORR of 75.0% versus 16.7% and a median PFS of 9.3 months versus 2.2 months (p = 0.005). Among the three paradigms, MET-specific monitoring provided the most favorable diagnostic performance to identify long-term responders, with a specificity of 90% and a positive predictive value of 80%. These data demonstrate that early MET-specific ctDNA clearance is a robust on-treatment biomarker for ensartinib benefit in METex14 NSCLC, while broader ctDNA profiling remains valuable for uncovering emerging resistance mechanisms.

Identifiers

PMID41644647
PMCPMC12982539

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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.