Evidence map›Paper›PMID 35190862›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2022

A clinical study of a CD44v6-targeted fluorescent agent for the detection of non-muscle invasive bladder cancer.

Wenting Shang, Li Peng, Kunshan He, Pengyu Guo, Han Deng, Yu Liu, Ziyin Chen, Jie Tian, Wanhai Xu

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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  8. Intraoperative fluorescence molecular imaging accelerates the coming of precision surgery in China.European journal of nuclear medicine and molecular imaging · 2022
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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 at 4 institutions in 1 country.

Wenting ShangCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Li PengUrology Surgery Department, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People's Republic of China.
Kunshan HeCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Pengyu GuoUrology Surgery Department, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People's Republic of China.
Han DengCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Yu LiuBeijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Zhongguancun East Road #95, Haidian Dist., Beijing, 100191, China.
Ziyin ChenUrology Surgery Department, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People's Republic of China.
Jie TianCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. jie.tian@ia.ac.cn.
Wanhai XuUrology Surgery Department, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People's Republic of China. xuwanhai@163.com.
Shandong Institute of Automation · CNFourth Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CNBeijing Advanced Sciences and Innovation Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer is the fifth most common malignancy in humans. Cystoscopy under white light imaging is the gold standard for bladder cancer diagnosis, but some tumors are difficult to visualize and can be overlooked, resulting in high recurrence rates. We previously developed a phage display-derived peptide-based near-infrared imaging probe, PLSWT7-DMI, which binds specifically to bladder cancer cells and is nontoxic to animals. Here, we report a clinical research of this probe for near-infrared fluorescence endoscopic detection of bladder cancer.

resultsThe purity, efficacy, safety, and nontoxicity of PLSWT7-DMI were confirmed prior to its clinical application. Twenty-two patients diagnosed with suspected non-muscle invasive bladder cancer were enrolled in the present study. Following intravesical administration of the probe, the entire mucosa was imaged under white and near-infrared imaging using an in-house developed endoscope that could switch between these two modes. The illuminated lesions under near-infrared light were biopsied and sent for histopathological examination. We observed a 5.1-fold increase in the fluorescence intensity in the tumor samples compared to normal tissue, and the probe demonstrated a sensitivity and specificity of 91.2% and 90%, respectively. Common diagnostic challenges, such as small satellite tumors, carcinoma in situ, and benign suspicious mucosa, were visualized and could be distinguished from cancer. Furthermore, no adverse effects were observed in humans. These first-in-human results indicate that PLSWT7-DMI-based near-infrared fluorescence endoscopy is a safe and effective approach for the improved detection of bladder cancer, and may enable thorough resection to prevent recurrence.

Indexed as

Antineoplastic AgentsCarcinoma in SituUrinary Bladder NeoplasmsAnimalsCystoscopyUrinary BladderAntineoplastic AgentsBladder cancerDiagnosisEndoscopyNear-infrared imagingPeptide

Identifiers

PMID35190862
OpenAlexW4226287155

What OpenQuestion holds

Textmetadata
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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.