Evidence map›Paper›PMID 28235782›Full record

ArticleMolecular & cellular proteomics : MCP2017

Development of a Multiplexed Liquid Chromatography Multiple-Reaction-Monitoring Mass Spectrometry (LC-MRM/MS) Method for Evaluation of Salivary Proteins as Oral Cancer Biomarkers.

Yi-Ting Chen, Hsiao-Wei Chen, Chun-Feng Wu, Lichieh Julie Chu, Wei-Fang Chiang, Chih-Ching Wu, Jau-Song Yu, Cheng-Han Tsai, Kung-Hao Liang, Yu-Sun Chang and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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  4. Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025
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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

12 authors at 4 institutions in 1 country.

Yi-Ting ChenFrom the ‡Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; ytchen@mail.cgu.edu.tw.ORCID 0000-0002-0063-4965
Hsiao-Wei Chen§Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Chun-Feng Wu§Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Lichieh Julie Chu§Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Wei-Fang Chiang‡‡Department of Oral & Maxillofacial Surgery, Chi-Mei Medical Center, Liouying, Taiwan.
Chih-Ching Wu§Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Jau-Song Yu§Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Cheng-Han Tsai¶Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Kung-Hao Liang**Liver Research Center, Chang Gung Memorial Hospital, Linkou, Taiwan.
Yu-Sun Chang§Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Maureen Wu§Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Wei-Ting Ou Yang§Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.
Chang Gung University · TWChang Gung University of Science and Technology · TWChang Gung Memorial Hospital · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple (selected) reaction monitoring (MRM/SRM) of peptides is a growing technology for target protein quantification because it is more robust, precise, accurate, high-throughput, and multiplex-capable than antibody-based techniques. The technique has been applied clinically to the large-scale quantification of multiple target proteins in different types of fluids. However, previous MRM-based studies have placed less focus on sample-preparation workflow and analytical performance in the precise quantification of proteins in saliva, a noninvasively sampled body fluid. In this study, we evaluated the analytical performance of a simple and robust multiple reaction monitoring (MRM)-based targeted proteomics approach incorporating liquid chromatography with mass spectrometry detection (LC-MRM/MS). This platform was used to quantitatively assess the biomarker potential of a group of 56 salivary proteins that have previously been associated with human cancers. To further enhance the development of this technology for assay of salivary samples, we optimized the workflow for salivary protein digestion and evaluated quantification performance, robustness and technical limitations in analyzing clinical samples. Using a clinically well-characterized cohort of two independent clinical sample sets (total

Indexed as

Biomarkers, TumorCalibrationCase-Control StudiesChromatography, LiquidHumansLimit of DetectionMass SpectrometryMouth NeoplasmsNeoplasms, Squamous CellReproducibility of ResultsSalivary Proteins and PeptidesBiomarkers, TumorSalivary Proteins and Peptides

Identifiers

PMID28235782
PMCPMC5417822
OpenAlexW2591572418

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.