Evidence map›Paper›PMID 27933273›Full record

ArticleFrontiers in oncology2016

Prognostic Value of Plasma and Urine Glycosaminoglycan Scores in Clear Cell Renal Cell Carcinoma.

Francesco Gatto, Marco Maruzzo, Cristina Magro, Umberto Basso, Jens Nielsen

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05785052 (Biomarkers of Renal Cancer), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 12% 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.

NCT05785052 unknown statusnot on this mapstarted 2019, after this paper: background citation

Biomarkers of Renal Cancer

TypeobservationalSponsorBiorek S.R.L.Ran2019 to 2026Enrolled1,000ConditionsRenal Cell Carcinoma, Tumor, Solid, Oncocytoma, Angiomyolipoma
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025
    Review
  4. Article
  5. Noninvasive detection of any-stage cancer using free glycosaminoglycans.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. 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 at 2 institutions in 2 countries.

Francesco GattoDepartment of Biology and Biological Engineering, Chalmers University of Technology , Göteborg , Sweden.
Marco MaruzzoMedical Oncology Unit 1, IOV Istituto Oncologico Veneto (IRCSS) , Padova , Italy.
Cristina MagroMedical Oncology Unit 1, IOV Istituto Oncologico Veneto (IRCSS) , Padova , Italy.
Umberto BassoMedical Oncology Unit 1, IOV Istituto Oncologico Veneto (IRCSS) , Padova , Italy.
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology , Göteborg , Sweden.
Istituto Oncologico Veneto · ITChalmers University of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognosis of metastatic clear cell renal cell carcinoma (ccRCC) vastly improved since the introduction of antiangiogenic-targeted therapy. However, it is still unclear which biological processes underlie ccRCC aggressiveness and affect prognosis. Here, we checked whether a recently discovered systems biomarker based on plasmatic or urinary measurements of glycosaminoglycans (GAGs) aggregated into diagnostic scores correlated with ccRCC prognosis.

methodsThirty-one patients with a diagnosis of ccRCC (23 metastatic) were prospectively enrolled, and their urine and plasma biomarker scores were correlated to progression-free survival (PFS) and overall survival (OS) as either a dichotomous ("Low" vs. "High") or a continuous variable in a multivariate survival analysis.

resultsThe survival difference between "High"- vs. "Low"-scored patients was significant in the case of urine scores (2-year PFS rate = 53.3 vs. 100%,

conclusionThis is the first report on an association between plasma or urine GAG scores and the prognosis of ccRCC patients. Prospective trials validating the prognostic and predictive role of this novel systems biomarker are warranted.

Indexed as

kidney cancermolecular biomarkersprognostic biomarkerssystems medicine

Identifiers

PMID27933273
PMCPMC5121125
OpenAlexW2551258273

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.