Evidence map›Paper›PMID 37044249›Full record

ArticleBiomedical journal2024

Clinical validation of a saliva-based matrix metalloproteinase-1 rapid strip test for detection of oral cavity cancer.

Lichieh Julie Chu, Ya-Ting Chang, Chih-Yen Chien, Hui-Ching Chung, Shu-Fang Wu, Chih-Jou Chen, Yen-Chun Liu, Wei-Chao Liao, Chien-Hua Chen, Wei-Fan Chiang and 3 more

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In one paragraph

Article in Biomedical journal, 2024. 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
2.5field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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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

13 authors at 5 institutions in 1 country.

Lichieh Julie ChuMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Graduate Institute of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan; Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan.
Ya-Ting ChangS & T Biomed Co., Ltd, Hsinchu, Taiwan.
Chih-Yen ChienDepartment of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan; School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Hui-Ching ChungDepartment of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan; School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Shu-Fang WuMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Chih-Jou ChenS & T Biomed Co., Ltd, Hsinchu, Taiwan.
Yen-Chun LiuMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Wei-Chao LiaoMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Department of Pediatrics, Chang Gung Memorial Hospital, Linkou, Taiwan.
Chien-Hua ChenMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Wei-Fan ChiangDepartment of Oral and Maxillofacial Surgery, Chi-Mei Medical Center, Liouying, Tainan, Taiwan; School of Dentistry, National Yang Ming University, Taipei, Taiwan.
Kai-Ping ChangMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan.
Jun-Sheng WangNational Applied Research Laboratories, Taiwan Instrument Research Institute, Zhubei City, Hsinchu, Taiwan.
Jau-Song YuMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Graduate Institute of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan; Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan; Research Center for Food and Cosmetic Safety, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan. Electronic address: yusong@mail.cgu.edu.tw.
Chang Gung University · TWChang Gung University of Science and Technology · TWNational Institutes of Applied Research · TWNational Yang Ming Chiao Tung University · TWPowertech Technology (Taiwan) · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe previously identified matrix metalloproteinase-1 (MMP-1) as one of the most promising salivary biomarkers for oral squamous cell carcinoma (OSCC) and developed a sensitive ELISA for MMP-1 with good performance in detection of OSCC using a cohort of 1160 saliva samples.

methodsA time-saving rapid strip test (RST) for MMP-1 was developed in this study and its diagnostic performance compared with ELISA using saliva samples from a new cohort of 603 subjects (171 healthy controls, 236 patients with oral potentially malignant disorders, and 196 OSCC patients).

resultsSalivary MMP-1 levels measured using RST and ELISA were highly comparable and both assays could effectively distinguish between OSCC and non-cancerous groups. Similar to ELISA, receiver operating characteristic curve analysis of the MMP-1 RST was effective in identifying patients with OSCC at different oral cavity sites and stages.

conclusionsSalivary MMP-1 can be sensitively detected using both RST and ELISA methods. Our newly developed point-of-care MMP-1 RST is a promising in vitro diagnostic device (IVD) that may serve as a novel auxiliary tool in the routine clinical detection and monitoring of OSCC.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsMouth NeoplasmsBiomarkers, TumorHumansMatrix Metalloproteinase 1SalivaSquamous Cell Carcinoma of Head and NeckBiomarkers, TumorMatrix Metalloproteinase 1ELISAMMP-1Oral cancer diagnosisPoint of careRapid strip testSalivary biomarker

Identifiers

PMID37044249
PMCPMC10821597
OpenAlexW4362736810

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.