Evidence map›Paper›PMID 40632219›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

ImmunoPET imaging of c-Met using a nanobody-based tracer [

Xinyao Sun, Qi Yang, Lele Song, Youlan Lei, Wenpeng Huang, Zhao Chen, Yongkang Qiu, Lei Kang, Tianyao Wang

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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

9 authors.

Xinyao SunDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Qi YangDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Lele SongDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Youlan LeiDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Wenpeng HuangDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Zhao ChenDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Yongkang QiuDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Lei KangDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China. kanglei@bjmu.edu.cn.ORCID 0000-0001-8729-4547
Tianyao WangDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China. tianyao.wang@pku.edu.cn.

Funding

Beijing Municipal Science and Technology Commission Z221100007422027Beijing Nova Program 20240484725China Postdoctoral Science Foundation 2024M750132National High Level Hospital Clinical Research Funding (Interdisciplinary Research Project of Peking University First Hospital) 2023IR17National High Level Hospital Clinical Research Funding (Interdisciplinary Research Project of Peking University First Hospital) 2024IR07National High Level Hospital Clinical Research Funding (Scientific and Technological Achievements Transformation Incubation Guidance Fund Project of Peking University First Hospital) 2024CX18National High Level Hospital Clinical Research Funding (Scientific Research Seed Fund of Peking University First Hospital) 2024SF64National Key Research and Development Program of China 2024YFE0113500National Natural Science Foundation of China 82171970National Natural Science Foundation of China 82402320National Natural Science Foundation of China 82472018Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0500900
6 · The paper itself

Abstract

purposePancreatic ductal adenocarcinoma (PDAC) is the most prevalent form of pancreatic cancer, with high malignancy and poor prognosis. The cellular mesenchymal-epithelial transition factor (c-Met) is overexpressed in 84% of PDAC and plays a critical role in tumor progression, which is closely associated with poor patient outcomes. In this study, a new

methodsThe Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) data were utilized to assess MET expression and overall survival in patients with different cancers. By immunizing an alpaca with recombinant human c-Met, three clones of nanobodies were screened, and the binding affinity was tested by bio-layer interferometry (BLI). The binding epitope of the nanobodies and c-Met was predicted by AlphaFold3. c-Met expression in human PDAC cell lines was evaluated using western blot, flow cytometry, and confocal microscopy. NOTA (1,4,7-triazacyclononane-1,4,7-triacetic acid) chelator was used to label the nanobodies with

resultsBased on TCGA and GTEx data, MET expression in pancreatic adenocarcinoma (PAAD) is significantly higher than that in normal tissues (P < 0.001). Patients with high MET expression have lower overall survival rates than those with low MET expression. c-Met expression was the highest in BXPC-3 cells but the lowest in MIA PaCa-2 cells, which were set as the positive and negative models respectively. PFCM01 was screened and selected with an excellent binding property with the K

conclusions[

Indexed as

Carcinoma, Pancreatic DuctalHeterocyclic CompoundsHeterocyclic Compounds, 1-RingPancreatic NeoplasmsPositron Emission Tomography Computed TomographyProto-Oncogene Proteins c-metSingle-Domain AntibodiesAnimalsCell Line, TumorGallium RadioisotopesHumansMiceTissue Distribution1,4,7-triazacyclononane-N,N',N''-triacetic acidGallium RadioisotopesHeterocyclic CompoundsHeterocyclic Compounds, 1-RingProto-Oncogene Proteins c-metSingle-Domain AntibodiesC-MetImmunoPETNanobodyPancreatic ductal adenocarcinoma

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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.