Trial reportJCO precision oncology2023
Plasma and Urine Free Glycosaminoglycans as Monitoring and Predictive Biomarkers in Metastatic Renal Cell Carcinoma: A Prospective Cohort Study.
Trial report in JCO precision oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 6 papers.
What it found
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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.
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.
A Phase II Clinical Trial to Evaluate the Efficacy of BAY 43-9006 With or Without Low Dose Interferon in Metastatic Renal Cell Carcinoma
Phase II Non-Randomized Pre-Surgical Study Evaluating Sunitinib in Patients With Metastatic Renal Cell Carcinoma (RCC) Who Are Eligible for Cytoreductive Nephrectomy
Sensitivity and Specificity of Glycosaminoglycan Scores in the Diagnosis of Early Progression in Advanced Renal Cell Carcinoma
Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Transcriptomic profiling and structural characterization reveal UQCRC1 and COX4I1 as key mitochondrial regulators associated with oxidative stress in multiple sclerosis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- 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 · 2025Article
- High-throughput glycosaminoglycan extraction and UHPLC-MS/MS quantification in human biofluids.Nature protocols · 2025Review
- Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025Review
- Discriminating Benign from Malignant Lung Diseases Using Plasma Glycosaminoglycans and Cell-Free DNA.International journal of molecular sciences · 2024Article
- Biomarkers in renal cell carcinoma and their targeted therapies: a review.Exploration of targeted anti-tumor therapy · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeNo liquid biomarkers are approved in metastatic renal cell carcinoma (mRCC) despite the need to predict and monitor response noninvasively to tailor treatment choices. Urine and plasma free glycosaminoglycan profiles (GAGomes) are promising metabolic biomarkers in mRCC. The objective of this study was to explore if GAGomes could predict and monitor response in mRCC. PATIENTS AND
methodsWe enrolled a single-center prospective cohort of patients with mRCC elected for first-line therapy (ClinicalTrials.gov identifier: NCT02732665) plus three retrospective cohorts (ClinicalTrials.gov identifiers: NCT00715442 and NCT00126594) for external validation. Response was dichotomized as progressive disease (PD) versus non-PD every 8-12 weeks. GAGomes were measured at treatment start, after 6-8 weeks, and every third month in a blinded laboratory. We correlated GAGomes with response and developed scores to classify PD versus non-PD, which were used to predict response at treatment start or after 6-8 weeks.
resultsFifty patients with mRCC were prospectively included, and all received tyrosine kinase inhibitors (TKIs). PD correlated with alterations in 40% of GAGome features. We developed plasma, urine, and combined glycosaminoglycan progression scores that monitored PD at each response evaluation visit with the area under the receiving operating characteristic curve (AUC) of 0.93, 0.97, and 0.98, respectively. For internal validation, the scores predicted PD at treatment start with the AUC of 0.66, 0.68, and 0.74 and after 6-8 weeks with the AUC of 0.76, 0.66, and 0.75. For external validation, 70 patients with mRCC were retrospectively included and all received TKI-containing regimens. The plasma score predicted PD at treatment start with the AUC of 0.90 and at 6-8 weeks with the AUC of 0.89. The pooled sensitivity and specificity were 58% and 79% at treatment start. Limitations include the exploratory study design.
conclusionGAGomes changed in association with mRCC response to TKIs and may provide biologic insights into mRCC mechanisms of response.
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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.