Evidence map›Paper›PMID 31158075›Full record

Trial reportEuropean urology oncology2018

Plasma Glycosaminoglycans as Diagnostic and Prognostic Biomarkers in Surgically Treated Renal Cell Carcinoma.

Francesco Gatto, Kyle A Blum, Seyedeh Shaghayegh Hosseini, Mazyar Ghanaat, Mahyar Kashan, Francesca Maccari, Fabio Galeotti, James J Hsieh, Nicola Volpi, A Ari Hakimi and 1 more

Registry-linked trialOpen access · hybridAbstract readClinical Trial
In one paragraph

Trial report in European urology oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03471897 (Plasma Glycosaminoglycans as Diagnostic and Prognostic Biomarkers in Surgically Treated Renal Cell Carcinoma), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.2field-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.

NCT03471897 completednot on this map

Plasma Glycosaminoglycans as Diagnostic and Prognostic Biomarkers in Surgically Treated Renal Cell Carcinoma

TypeobservationalSponsorChalmers University of TechnologyRan2016 to 2018Enrolled237ConditionsRenal Cell CarcinomaArmsGlycosaminoglycan plasma score
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. External Validation of Plasma Glycosaminoglycans as Biomarkers to Improve Lung Cancer Risk Stratification.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  6. Article
  7. Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Noninvasive detection of any-stage cancer using free glycosaminoglycans.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

11 authors at 3 institutions in 3 countries.

Francesco GattoDepartment of Biology and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden.
Kyle A BlumDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Seyedeh Shaghayegh HosseiniDepartment of Biology and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden.
Mazyar GhanaatDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Mahyar KashanDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Francesca MaccariDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Fabio GaleottiDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
James J HsiehDepartment of Medicine, Genitourinary Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nicola VolpiDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
A Ari HakimiDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden. Electronic address: nielsenj@chalmers.se.
Memorial Sloan Kettering Cancer Center · USChalmers University of Technology · SEUniversity of Modena and Reggio Emilia · IT

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
UROLOGY ONCOLOGY RESEARCH TRAINING GRANTT32CA082088 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Brett Stewart Carver · 1999 to 2026
$7.1M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundPlasma glycosaminoglycan (GAG) measurements, when aggregated into diagnostic scores, accurately distinguish metastatic clear-cell renal cell carcinoma (RCC) from healthy samples and correlate with prognosis. However, it is unknown if GAG scores can detect RCC in earlier stages or if they correlate with prognosis after surgery.

objectiveTo explore the sensitivity and specificity of plasma GAGs for detection of early-stage RCC and prediction of recurrence and death after RCC surgery. DESIGN, SETTING, AND

participantsThis was a retrospective case-control study consisting of a consecutive series of 175 RCC patients surgically treated between May 2011 and February 2014 and 19 healthy controls. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Plasma GAGs in preoperative and postoperative RCC and healthy samples were measured using capillary electrophoresis with laser-induced fluorescence in a single blinded laboratory. A discovery set was first analyzed to update the historical GAG score. The sensitivity of the new GAG score for RCC detection versus healthy subjects was validated using the remaining samples. The correlation of the new GAG score to histopathologic variables, overall survival, and recurrence-free survival was evaluated using nonparametric and log-rank tests and multivariable Cox regression analyses. RESULTS AND LIMITATIONS: The RCC cohort included 94 stage I, 58 stage II-III, and 22 stage IV cases. In the first discovery set (n=67), the new GAG score distinguished RCC from healthy samples with an area under the receiver operating characteristic curve (AUC) of 0.999. In the validation set (n=108), the GAG score achieved an AUC of 0.991, with 93.5% sensitivity. GAG scores were elevated in RCC compared to healthy samples, irrespective of and uncorrelated to stage, grade, histology, age, or gender. The total chondroitin sulfate concentration was an independent prognostic factor for both overall and recurrence-free survival (hazard ratios 1.51 and 1.25) with high concordance when combined with variables available at pathologic diagnosis (C-index 0.926 and 0.849) or preoperatively (C-index 0.846 and 0.736). Limitations of the study include its retrospective nature and moderate variability in GAG laboratory measurements.

conclusionsPlasma GAGs are highly sensitive diagnostic and prognostic biomarkers in surgically treated RCC independent of stage, grade, or histology. Prospective validation studies on GAG scores for early detection, prediction, and surveillance for RCC recurrence are thus warranted. PATIENT SUMMARY: In this study, we examined if a new molecular blood test can detect renal cell carcinoma in the early stages and predict if the cancer might relapse after surgery. The trial is registered on ClinicalTrial.gov as NCT03471897.

Indexed as

AgedBiomarkers, TumorCarcinoma, Renal CellCase-Control StudiesFemaleGlycosaminoglycansHumansKidney NeoplasmsLiquid BiopsyMaleMiddle AgedNephrectomyPredictive Value of TestsPrognosisRetrospective StudiesSensitivity and SpecificityBiomarkers, TumorGlycosaminoglycansDiagnostic biomarkersLiquid biopsyPrognostic biomarkersRenal cell carcinoma

Identifiers

PMID31158075
PMCPMC8253162
OpenAlexW2807841464

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.