Evidence map›Paper›PMID 31253657›Full record

ArticleMolecular & cellular proteomics : MCP2019

Identification of Salivary Biomarkers for Oral Cancer Detection with Untargeted and Targeted Quantitative Proteomics Approaches.

Hao-Wei Chu, Kai-Ping Chang, Chia-Wei Hsu, Ian Yi-Feng Chang, Hao-Ping Liu, Yi-Ting Chen, Chih-Ching Wu

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 3 pooled it
5.4field-weighted citation impact, top 3% 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

54 citing papers in PubMed, 3 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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  20. Prediction of Oral Cancer Biomarkers by Salivary Proteomics Data.International journal of molecular sciences · 2024
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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

7 authors at 3 institutions in 1 country.

Hao-Wei Chu‡Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Kai-Ping Chang§Department of Otolaryngology-Head & Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Chia-Wei Hsu¶Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Ian Yi-Feng Chang¶Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Hao-Ping Liu‖Department of Veterinary Medicine, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan.
Yi-Ting Chen‡Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; ¶Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; **Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; ‡‡Kidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Chih-Ching Wu‡Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; §Department of Otolaryngology-Head & Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan; ¶Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; §§Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan; ¶¶Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan. Electronic address: luckywu@mail.cgu.edu.tw.
Chang Gung University · TWChang Gung Memorial Hospital · TWNational Chung Hsing University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral cavity squamous cell carcinoma (OSCC) is one of the most common cancers worldwide. In Taiwan, OSCC is the fifth leading cause of cancer-related mortality and leads to 2800 deaths per year. The poor outcome of OSCC patients is principally ascribed to the fact that this disease is often advanced at the time of diagnosis, suggesting that early detection of OSCC is urgently needed. Analysis of cancer-related body fluids is one promising approach to identify biomarker candidates of cancers. To identify OSCC biomarkers, salivary proteomes of OSCC patients, individuals with oral potentially malignant disorders (OPMDs), and healthy volunteers were comparatively profiled with isobaric tags for relative and absolute quantitation (iTRAQ)-based mass spectrometry (MS). The salivary levels of 67 and 18 proteins in the OSCC group are elevated and decreased compared with that in the noncancerous group (OPMD and healthy groups), respectively. The candidate biomarkers were further selected using the multiple reaction monitoring (MRM)-MS and validated with the immunoassays. More importantly, the higher salivary level of three proteins, complement factor H (CFH), fibrinogen alpha chain (FGA), and alpha-1-antitrypsin (SERPINA1) was correlated with advanced stages of OSCC. Our results indicate that analysis of salivary proteome is a feasible strategy for biomarker discovery, and the three proteins are potential salivary markers for OSCC diagnosis.

Indexed as

AdultAgedalpha 1-AntitrypsinBiomarkers, TumorCarcinoma, Squamous CellCase-Control StudiesComplement Factor HEnzyme-Linked Immunosorbent AssayFemaleFibrinogenHumansLimit of DetectionMaleMass SpectrometryMiddle AgedMouth Neoplasmsalpha 1-AntitrypsinBiomarkers, TumorCFH protein, humanComplement Factor HFGA protein, humanFibrinogenSERPINA1 protein, humanBiomarker: DiagnosticBiomarker: PrognosticCancer biomarker(s)Head and neck canceriTRAQMultiple reaction monitoringOral cavity squamous cell carcinomaOral potentially malignant disorder

Identifiers

PMID31253657
PMCPMC6731081
OpenAlexW2953620318

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.