Evidence map›Paper›PMID 25196439›Full record

ArticleInternational journal of molecular sciences2014

Quantitative proteomic analysis of serum proteins from oral cancer patients: comparison of two analytical methods.

Yan Yang, Junwei Huang, Bahareh Rabii, Ramin Rabii, Shen Hu

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
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

5 authors.

Yan YangDepartment of Stomatology, Zhongnan Hospital, Wuhan University, Wuhan 430071, China. yangfionayan@gmail.com.
Junwei HuangSchool of Dentistry, University of California, Los Angeles, CA 90095, USA. huangjunwei007@gmail.com.
Bahareh RabiiSchool of Dentistry, University of California, Los Angeles, CA 90095, USA. baharehrabii@gmail.com.
Ramin RabiiSchool of Dentistry, University of California, Los Angeles, CA 90095, USA. raminrabii@gmail.com.
Shen HuSchool of Dentistry, University of California, Los Angeles, CA 90095, USA. shenhu@ucla.edu.

Funding

Serum Proteome Analysis of Oral Cancer MetastasisR21CA122806 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HU, SHEN · 2007 to 2009
$359k
NCI NIH HHS R21 CA122806NCI NIH HHS R21CA122806
6 · The paper itself

Abstract

Serum proteomic analysis can be a valuable approach for the discovery of protein biomarkers for early detection or monitoring of a disease. In this study, two analytical methods were compared for quantification of serum proteins in patients with oral cancer. In the first approach, we quantified serum proteins between oral squamous cell carcinoma (OSCC) and healthy control subjects by performing in-solution digestion of serum proteins, isobaric tags for relative and absolute quantification (iTRAQ) labeling of the resulting peptides, strong cation exchange (SCX) fractionation of labeled peptides and finally capillary liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis of the peptides. In the second approach, we first separated serum proteins with SDS-PAGE. The gel-separated proteins were then digested with trypsin and the resulting peptides were labeled with iTRAQ and analyzed with LC-MS/MS for protein quantification. A total of 319 serum proteins were quantified with the first proteomic approach whereas a total of 281 proteins were quantified by the second proteomic approach. Most of the proteins were identified and quantified by both approaches, suggesting that these methods are similarly effective for serum proteome analysis. This study provides compelling evidence that quantitative serum proteomic analysis of OSCC is a valuable approach for identifying differentially expressed proteins in cancer patients' circulation systems that may be used as potential biomarkers for disease detection. Further validation in large oral cancer patient populations may lead to a simple and low invasive clinical tool for OSCC diagnosis or monitoring.

Indexed as

Blood ProteinsChromatography, LiquidHumansIsotope LabelingMouth NeoplasmsTandem Mass SpectrometryBlood Proteins

Identifiers

PMID25196439
PMCPMC4159857

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.