Evidence map›Paper›PMID 25184692›Full record

ArticleJournal of proteome research2014

Comparative studies of the proteome, glycoproteome, and N-glycome of clear cell renal cell carcinoma plasma before and after curative nephrectomy.

Francisca O Gbormittah, Ling Y Lee, KyOnese Taylor, William S Hancock, Othon Iliopoulos

Abstract readComparative Study
In one paragraph

Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Glycosylation in kidney diseases.Precision clinical medicine · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Comprehensive MembraneMass spectrometry (Tokyo, Japan) · 2023
    Article
  8. Article
  9. Review
  10. CD146, from a melanoma cell adhesion molecule to a signaling receptor.Signal transduction and targeted therapy · 2020
    Review
  11. Review
  12. Article
  13. Clinical application of quantitative glycomics.Expert review of proteomics · 2018
    Review
  14. Review
  15. Review
  16. Review
  17. Article
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.

Francisca O GbormittahBarnett Institute and Department of Chemistry and Chemical Biology, Northeastern University , 360 Huntington Avenue, Boston, Massachusetts 02115, United States.
Ling Y Lee
KyOnese Taylor
William S Hancock
Othon Iliopoulos

Funding

Detection of Pre-Invasive Pancreatic Cysts Using Protein and Glycan BiomarkersU01CA152653 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI ALLEN, PETER J, BRAND, RANDALL · 2010 to 2021
$5.8M
NCI NIH HHS 1U01CA152653-01NCI NIH HHS U01 CA152653
6 · The paper itself

Abstract

Clear cell renal cell carcinoma is the most prevalent of all reported kidney cancer cases, and currently there are no markers for early diagnosis. This has stimulated great research interest recently because early detection of the disease can significantly improve the low survival rate. Combining the proteome, glycoproteome, and N-glycome data from clear cell renal cell carcinoma plasma has the potential of identifying candidate markers for early diagnosis and prognosis and/or to monitor disease recurrence. Here, we report on the utilization of a multi-dimensional fractionation approach (12P-M-LAC) and LC-MS/MS to comprehensively investigate clear cell renal cell carcinoma plasma collected before (disease) and after (non-disease) curative nephrectomy (n = 40). Proteins detected in the subproteomes were investigated via label-free quantification. Protein abundance analysis revealed a number of low-level proteins with significant differential expression levels in disease samples, including HSPG2, CD146, ECM1, SELL, SYNE1, and VCAM1. Importantly, we observed a strong correlation between differentially expressed proteins and clinical status of the patient. Investigation of the glycoproteome returned 13 candidate glycoproteins with significant differential M-LAC column binding. Qualitative analysis indicated that 62% of selected candidate glycoproteins showed higher levels (upregulation) in M-LAC bound fraction of disease samples. This observation was further confirmed by released N-glycans data in which 53% of identified N-glycans were present at different levels in plasma in the disease vs non-disease samples. This striking result demonstrates the potential for significant protein glycosylation alterations in clear cell renal cell carcinoma cancer plasma. With future validation in a larger cohort, information derived from this study may lead to the development of clear cell renal cell carcinoma candidate biomarkers.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellCell FractionationChromatography, LiquidGlycoproteinsHumansNephrectomyPolysaccharidesPostoperative PeriodProteomeProteomicsTandem Mass SpectrometryBiomarkers, TumorGlycoproteinsPolysaccharidesProteomeglycomicsGlycoproteomicslectinsmulti-lectin affinity chromatographyN-glycans

Identifiers

PMID25184692
PMCPMC4227548

What OpenQuestion holds

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Registered trials

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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.