Evidence map›Paper›PMID 39183296›Full record

ArticleBMC medicine2024

Multispectral fluorescence imaging of EGFR and PD-L1 for precision detection of oral squamous cell carcinoma: a preclinical and clinical study.

Nenghao Jin, Yu An, Yu Tian, Zeyu Zhang, Kunshan He, Chongwei Chi, Wei Mu, Jie Tian, Yang Du

Abstract read
In one paragraph

Article in BMC medicine, 2024. 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
–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

8 citing papers in PubMed.

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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.

Nenghao Jin *Medical School of Chinese PLA, Beijing, 100853, China.
Yu An *Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People' S Republic of China, School of Engineering Medicine, Beihang University, Beijing, 100191, China.
Yu Tian *Medical School of Chinese PLA, Beijing, 100853, China.
Zeyu Zhang *Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People' S Republic of China, School of Engineering Medicine, Beihang University, Beijing, 100191, China.
Kunshan HeCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Chongwei ChiCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Wei MuKey Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People' S Republic of China, School of Engineering Medicine, Beihang University, Beijing, 100191, China. weimu@buaa.edu.cn.
Jie TianCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. ji.tian@ia.ac.cn.
Yang DuCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. yang.du@ia.ac.cn.

Funding

National Key R&D Program of China 2023YFC3402800National Natural Science Foundation of China 62027901National Natural Science Foundation of China 82272111National Natural Science Foundation of China 92159303Natural Science Foundation of Beijing Municipality L232097
6 · The paper itself

Abstract

backgroundEarly detection and treatment are effective methods for the management of oral squamous cell carcinoma (OSCC), which can be facilitated by the detection of tumor-specific OSCC biomarkers. The epidermal growth factor receptor (EGFR) and programmed death-ligand 1 (PD-L1) are important therapeutic targets for OSCC. Multispectral fluorescence molecular imaging (FMI) can facilitate the detection of tumor multitarget expression with high sensitivity and safety. Hence, we developed Nimotuzumab-ICG and Atezolizumab-Cy5.5 imaging probes, in combination with multispectral FMI, to sensitively and noninvasively identify EGFR and PD-L1 expression for the detection and comprehensive treatment of OSCC.

methodsThe expression of EGFR and PD-L1 was analyzed using bioinformatics data sources and specimens. Nimotuzumab-ICG and Atezolizumab-Cy5.5 imaging probes were developed and tested on preclinical OSCC cell line and orthotopic OSCC mouse model, fresh OSCC patients' biopsied samples, and further clinical mouthwash trials were conducted in OSCC patients.

resultsEGFR and PD-L1 were specifically expressed in human OSCC cell lines and tumor xenografts. Nimotuzumab-ICG and Atezolizumab-Cy5.5 imaging probes can specifically target to the tumor sites in an in situ human OSCC mouse model with good safety. The detection sensitivity and specificity of Nimotuzumab-ICG in patients were 96.4% and 100%, and 95.2% and 88.9% for Atezolizumab-Cy5.5.

conclusionsEGFR and PD-L1 are highly expressed in OSCC, the combination of which is important for a precise prognosis of OSCC. EGFR and PD-L1 expression can be sensitively detected using the newly synthesized multispectral fluorescence imaging probes Nimotuzumab-ICG and Atezolizumab-Cy5.5, which can facilitate the sensitive and specific detection of OSCC and improve treatment outcomes.

trial registrationChinese Clinical Trial Registry, ChiCTR2100045738. Registered 23 April 2021, https://www.chictr.org.cn/bin/project/edit?pid=125220.

Indexed as

Antibodies, Monoclonal, HumanizedB7-H1 AntigenCarcinoma, Squamous CellErbB ReceptorsMouth NeoplasmsOptical ImagingAnimalsBiomarkers, TumorCell Line, TumorFemaleHumansMaleMiceMiddle AgedMolecular ImagingAntibodies, Monoclonal, HumanizedatezolizumabB7-H1 AntigenBiomarkers, TumorCD274 protein, humanEGFR protein, humanErbB ReceptorsnimotuzumabEpidermal growth factor receptor (EGFR)Imaging probeMultispectral fluorescence molecular imagingOral squamous cell carcinoma (OSCC)Programmed death-ligand 1 (PD-L1)

Identifiers

PMID39183296
PMCPMC11346054

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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.