Evidence map›Paper›PMID 39583112›Full record

SynthesisPeerJ2024

The diagnostic utility of glycosaminoglycans (GAGs) in the early detection of cancer: a systematic review.

Sarah Douglah, Reem Khalil, Reem Kanaan, Moza Almeqbaali, Nada Abdelmonem, Marc Abdelmessih, Yousr Khairalla, Natheer H Al-Rawi

Abstract readSystematic Review
In one paragraph

Synthesis in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Anticancer potential of lactoferrin: effects, drug synergy and molecular interactions.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025
    Review
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.

Sarah DouglahOral & Craniofacial Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Reem KhalilOral & Craniofacial Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Reem KanaanOral & Craniofacial Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Moza AlmeqbaaliOral & Craniofacial Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Nada AbdelmonemOral & Craniofacial Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Marc AbdelmessihOral & Craniofacial Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Yousr KhairallaOral & Craniofacial Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.
Natheer H Al-RawiOral & Craniofacial Health Sciences, University of Sharjah, Sharjah, United Arab Emirates.ORCID 0000-0002-7483-6594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glycosaminoglycans (GAGs) are a family of polysaccharides found abundantly in the extracellular matrix (ECM) of tissues. Research has indicated that the dysregulation of ECM, including changes and disruptions in GAGs, contributes to various cancer hallmarks such as metabolic reprogramming, persistent growth signals, immunosuppression, angiogenesis, tumor invasion, and metastasis. Objective: This systematic review aims to evaluate the diagnostic accuracy of GAGs, including heparan sulfate (HS), chondroitin sulfate (CS), and hyaluronic acid (HA), in early detection of cancer. Method: Four databases (PubMed, Scopus, EBSCO, and Ovid) were searched for studies in English within the last 15 years, involving at least 50 human participants. Using a two-stage process: identification and screening, 11 articles were selected and critically appraised using Critical Appraisal Skills Programme (CASP) checklists and Newcastle-Ottawa Scale (NOS) appropriate for each study design. Result: Eleven studies met the inclusion criteria, encompassing various cancers like renal cell carcinoma (RCC), upper GI cancer (UGI), ovarian cancer, prostate cancer, breast cancer, lung cancer, colorectal cancer and oral cancer. Methodological quality was assessed using two established tools, with no studies exhibiting a high risk of bias. Heparan sulfate levels showed diagnostic potential in renal cancer with a maximum accuracy of 98.9%, achieving 94.7% specificity and 100% sensitivity. Chondroitin sulfate disaccharides emerged as a promising diagnostic marker in ovarian cancer and showed potential as diagnostic markers in renal cancer. However, there were no statistically significant differences in urinary chondroitin sulfate levels between patients and controls in prostate cancer. In breast cancer, hyaluronic acid showed moderate accuracy (AUC = 0.792) in distinguishing metastatic from non-metastatic disease, and a composite score incorporating multiple markers, including HA, showed even higher accuracy (AUC = 0.901) in detecting metastatic breast cancer. HA demonstrated moderate diagnostic accuracy for UGI cancers. Serum HA levels were significantly elevated in patients with oral cancer and pleural malignant mesothelioma and associated with tumor progression in patients with lung cancer. Elevated low molecular weight form of hyaluronan (~6 k Da HA) levels were found in colorectal cancer tissues. Conclusion: GAGs hold potential as early cancer detection biomarkers. Further validation with larger, diverse populations is needed to validate their diagnostic accuracy and clinical utility.

Indexed as

Biomarkers, TumorChondroitin SulfatesEarly Detection of CancerGlycosaminoglycansNeoplasmsFemaleHeparan SulfateHumansHyaluronic AcidMaleSensitivity and SpecificityBiomarkers, TumorChondroitin SulfatesGlycosaminoglycansHeparan SulfateHyaluronic AcidCancerChondroitin sulfateGycosaminoglycansHeparan sulfateHyaluronic acid

Identifiers

PMID39583112
PMCPMC11586047

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.