Evidence map›Paper›PMID 36145330›Full record

ArticlePharmaceuticals (Basel, Switzerland)2022

A High-Affinity

Ji-Hun Park, Xuran Zhang, Hyunsoo Ha, Jung Young Kim, Joon Young Choi, Kyung-Han Lee, Youngjoo Byun, Yearn Seong Choe

Open access · goldAbstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Diagnostic value of [Frontiers in oncology · 2025
    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

8 authors at 3 institutions in 1 country.

Ji-Hun ParkDepartment of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Xuran ZhangDepartment of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Hyunsoo HaCollege of Pharmacy, Korea University, Sejong 30019, Korea.
Jung Young KimDivision of Applied RI, Korea Institute of Radiological and Medical Sciences, Seoul 01812, Korea.
Joon Young ChoiDepartment of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.ORCID 0000-0003-1060-0096
Kyung-Han LeeDepartment of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Youngjoo ByunCollege of Pharmacy, Korea University, Sejong 30019, Korea.ORCID 0000-0002-0297-7734
Yearn Seong ChoeDepartment of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.ORCID 0000-0002-5164-9809
Samsung Medical Center · KRKorea University · KRKorea Institute of Radiological and Medical Sciences · KR

Funding

National Research Foundation of Korea NRF-2020R1A2C1008192 (Y.S.C.) and NRF-2020R1A2C2005919 (Y.B.)
6 · The paper itself

Abstract

Hepsin, a cell surface serine protease, is a potential biomarker for the detection of prostate cancer due to its high expression in prostate cancer but not in normal prostate. This study aimed to develop a radioligand for positron emission tomography (PET) imaging of hepsin. Six leucine-arginine (Leu-Arg) dipeptide derivatives (two diastereomers for each of three ligands) were synthesized and evaluated for their binding affinities and selectivity for hepsin. Based on the binding assay, a

Indexed as

64Cu-DOTA-conjugated liganddiastereomershepsinLeu–Arg dipeptide derivativesPETprostate cancer

Identifiers

PMID36145330
PMCPMC9503212
OpenAlexW4295007697

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.