Evidence map›Paper›PMID 18339795›Full record

ArticleMolecular & cellular proteomics : MCP2008

Discovery and verification of head-and-neck cancer biomarkers by differential protein expression analysis using iTRAQ labeling, multidimensional liquid chromatography, and tandem mass spectrometry.

Ranju Ralhan, Leroi V Desouza, Ajay Matta, Satyendra Chandra Tripathi, Shaun Ghanny, Siddartha Datta Gupta, Sudhir Bahadur, K W Michael Siu

2 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 89 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 2 pooled it
11.3field-weighted citation impact, top 1% 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.

NCT04622462 recruitingnot on this mapstarted 2015, after this paper: background citation

A Multi-Centre Prospective Community-Based Observational Study on Prediction of Malignant Progression of Clinically Suspicious Oral Lesions With STRATICYTE

TypeobservationalSponsorProteocyte Diagnostics Inc.Ran2015 to 2026Enrolled500ConditionsOral NeoplasmArmsStandard of Care Histopathology, STRATICYTE Assessment
NCT05853783 recruitingnot on this mapstarted 2023, after this paper: background citation

Evaluation of Oral Potentially Malignant Disorders (OPMDs) with STRATICYTE™

TypeobservationalSponsorProteocyte Diagnostics Inc.Ran2023 to 2024Enrolled180ConditionsMouth DiseasesArmsSTRATICYTE™ Test
3 · Its place in the literature

Who cites it

89 citing papers in PubMed, 2 syntheses or guidelines pooled it, 218 citations in OpenAlex.

  1. Pooled it
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  6. RAGE Inhibitors for Targeted Therapy of Cancer: A Comprehensive Review.International journal of molecular sciences · 2022
    Review
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  15. Global Scenario of Research in Oral Cancer.Journal of maxillofacial and oral surgery · 2019
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

29 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 2 countries.

Ranju RalhanDepartment of Chemistry, York University, Toronto, Ontario M2J 1P3, Canada. ralhanr@yorku.ca
Leroi V Desouza
Ajay Matta
Satyendra Chandra Tripathi
Shaun Ghanny
Siddartha Datta Gupta
Sudhir Bahadur
K W Michael Siu
All India Institute of Medical Sciences · INYork University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multidimensional LC-MS/MS has been used for the analysis of biological samples labeled with isobaric mass tags for relative and absolute quantitation (iTRAQ) to identify proteins that are differentially expressed in human head-and-neck squamous cell carcinomas (HNSCCs) in relation to non-cancerous head-and-neck tissues (controls) for cancer biomarker discovery. Fifteen individual samples (cancer and non-cancerous tissues) were compared against a pooled non-cancerous control (prepared by pooling equal amounts of proteins from six non-cancerous tissues) in five sets by on-line and off-line separation. We identified 811 non-redundant proteins in HNSCCs, including structural proteins, signaling components, enzymes, receptors, transcription factors, and chaperones. A panel of proteins showing consistent differential expression in HNSCC relative to the non-cancerous controls was discovered. Some of the proteins include stratifin (14-3-3sigma); YWHAZ (14-3-3zeta); three calcium-binding proteins of the S100 family, S100-A2, S100-A7 (psoriasin), and S100-A11 (calgizarrin); prothymosin alpha (PTHA); L-lactate dehydrogenase A chain; glutathione S-transferase Pi; APC-binding protein EB1; and fascin. Peroxiredoxin2, carbonic anhydrase I, flavin reductase, histone H3, and polybromo-1D (BAF180) were underexpressed in HNSCCs. A panel of the three best performing biomarkers, YWHAZ, stratifin, and S100-A7, achieved a sensitivity of 0.92 and a specificity of 0.91 in discriminating cancerous from non-cancerous head-and-neck tissues. Verification of differential expression of YWHAZ, stratifin, and S100-A7 proteins in clinical samples of HNSCCs and paired and non-paired non-cancerous tissues by immunohistochemistry, immunoblotting, and RT-PCR confirmed their overexpression in head-and-neck cancer. Verification of YWHAZ, stratifin, and S100-A7 in an independent set of HNSCCs achieved a sensitivity of 0.92 and a specificity of 0.87 in discriminating cancerous from non-cancerous head-and-neck tissues, thereby confirming their overexpressions and utility as credible cancer biomarkers.

Indexed as

Gene Expression ProfilingGene Expression Regulation, Neoplastic14-3-3 ProteinsBiomarkers, TumorCalcium-Binding ProteinsChromatography, LiquidEpitheliumExonucleasesExoribonucleasesHead and Neck NeoplasmsHumansImmunohistochemistryModels, MolecularNeoplasm ProteinsProteomicsS100 Calcium Binding Protein A714-3-3 ProteinsBiomarkers, TumorCalcium-Binding ProteinsExonucleasesExoribonucleasesNeoplasm ProteinsS100A7 protein, humanS100 Calcium Binding Protein A7S100 ProteinsSFN protein, human

Identifiers

PMID18339795
PMCPMC2424195
OpenAlexW2148104731

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.