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Proteoglycans

Drugs and Chemicals · NLM MeSH · updated 2026-10-31 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

Glycoproteins which have a very high polysaccharide content of which one or more are glycosaminoglycans.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (901 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Glycoproteins which have a very high polysaccharide content of which one or more are glycosaminoglycans.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Proteoglycan; Proteoglycan Type H.

Where it fits in the MeSH classification

Broader topics
Glycoproteins; Polysaccharides
Narrower topics
Chondroitin Sulfate Proteoglycans; Heparan Sulfate Proteoglycans; Proteoglycan 4; Proteoglycan Link Protein; Small Leucine-Rich Proteoglycans

Related concepts

  • Glycosaminoglycans

Research landscape

PubMed indexes 45,025 records tagged with the MeSH heading “Proteoglycans” (counts retrieved 2026-10-31). 6,577 of them (14.6%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 14,267 records.

Reviews account for 3,899 records (8.7%) and meta-analyses for 116. Randomized controlled trials number 218 (0.5%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 11,898 records; 2000-2009: 12,283 records; 2010-2019: 14,267 records; 2020 onward: 6,577 records11,898through 199912,2832000-200914,2672010-20196,5772020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 199911,898
2000-200912,283
2010-201914,267
2020 onward6,577
Share of records by publication typeReviews: 8.7 percent; Meta-analyses: 0.3 percent; Randomized controlled trials: 0.5 percentReviews8.7% (3,899)Meta-analyses0.3% (116)Randomized controlled trials0.5% (218)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 45,025 PubMed records
TypeRecordsShare
Reviews3,8998.7%
Meta-analyses1160.3%
Randomized controlled trials2180.5%

Method: PubMed query "Proteoglycans"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.

Reading the evidence in drugs and chemicals

Studies of a chemical or drug can answer very different questions: what it is and how it behaves in cells and animals, how the body handles it, and whether it changes outcomes in people. Laboratory and animal findings often do not carry over to patients, and observational studies of exposures are confounded by who uses a substance and why. Nothing on this page is a recommendation to use, avoid, start or stop any substance or medicine; talk to a qualified clinician or pharmacist about your own situation. Check the dose, the species, the comparison group and whether a patient-relevant outcome was measured.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
SNORA37/CMTR1/ELAVL1 feedback loop drives gastric cancer progression via facilitating CD44 alternative splicing
Bao B, Tian M, Wang X, Yang C, Qu J, Zhou S, et al.
2025Research article
Design not recorded in structured metadata
21cc by
PMID 39815331 · DOI · PMC11737211
Human CSPG4-targeting CAR-macrophages inhibit melanoma growth
Greiner D, Xue Q, Waddell TQ, Kurudza E, Chaudhary P, Belote RL, et al.
2025Research article
Design not recorded in structured metadata
18cc by
PMID 40082557 · DOI · PMC12122381
Heparan Sulfate Proteoglycans (HSPGs) and Their Degradation in Health and Disease
Greco N, Masola V, Onisto M
2025Review article
Design not recorded in structured metadata
12cc by
PMID 41301515 · DOI · PMC12650130
Metabolic dysfunction-associated steatotic liver disease accelerates pancreatic cancer progression and metastasis via the macrophage migration inhibitory factor-CD44 axis
Yu Q, Song H, Shi XY, Zhu L, Liang Y, Gong RN, et al.
2026Research article
Design not recorded in structured metadata
11cc by
PMID 41545340 · DOI · PMC12811260

SNORA37/CMTR1/ELAVL1 feedback loop drives gastric cancer progression via facilitating CD44 alternative splicing [1]

Research article Bao B, Tian M, Wang X, Yang C, Qu J, Zhou S, et al. · · 2025 · cited 21 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundEmerging evidence shows that small nucleolar RNA (snoRNA), a type of highly conserved non-coding RNA, is involved in tumorigenesis and aggressiveness.
Closing excerpt
ConclusionsThese results indicated that SNORA37/CMTR1/ELAVL1 feedback loop drives gastric cancer progression via facilitating CD44 alternative splicing.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (251 words)

BackgroundEmerging evidence shows that small nucleolar RNA (snoRNA), a type of highly conserved non-coding RNA, is involved in tumorigenesis and aggressiveness. However, the roles of snoRNAs in regulating alternative splicing crucial for cancer progression remain elusive.MethodsHigh-throughput RNA sequencing and comprehensive analysis were performed to identify crucial snoRNAs and downstream alternative splicing events. Biotin-labeled RNA pull-down, mass spectrometry, cross-linking RNA immunoprecipitation, and in vitro binding assays were applied to explore interaction of snoRNAs with protein partners. Alternative splicing and gene expression was observed by real-time quantitative RT-PCR and western blot assays. In vitro and in vivo studies were performed to investigate biological effects of snoRNAs and their protein partners in gastric cancer. Survival analysis was undertaken by using Kaplan-Meier method and log-rank test.ResultsSNORA37 was identified as an up-regulated snoRNA essential for tumorigenesis and aggressiveness of gastric cancer. Gain- and loss-of-function studies indicated that SNORA37 promoted the growth, invasion, and metastasis of gastric cancer cells in vitro and in vivo. Mechanistically, as an ELAV like RNA binding protein 1 (ELAVL1)-generated snoRNA, SNORA37 directly bound to cap methyltransferase 1 (CMTR1) to facilitate its interaction with ELAVL1, resulting in nuclear retention and activity of ELAVL1 in regulating alternative splicing of CD44. Rescue studies revealed that SNORA37 exerted oncogenic roles in gastric cancer progression via facilitating CMTR1-ELAVL1 interaction. In clinical gastric cancer cases, high levels of SNORA37, CMTR1, ELAVL1, or CD44 were associated with shorter survival and poor outcomes of patients.ConclusionsThese results indicated that SNORA37/CMTR1/ELAVL1 feedback loop drives gastric cancer progression via facilitating CD44 alternative splicing.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39815331 · DOI · PMC11737211

Human CSPG4-targeting CAR-macrophages inhibit melanoma growth [2]

Research article Greiner D, Xue Q, Waddell TQ, Kurudza E, Chaudhary P, Belote RL, et al. · · 2025 · cited 18 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Approximately half of melanoma patients relapse or fail to respond to current standards of care, highlighting the need for new treatment options.
Closing excerpt
These results suggest engineering macrophages against melanoma antigens is a promising solid tumor immunotherapy approach for treating melanoma.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (189 words)

Approximately half of melanoma patients relapse or fail to respond to current standards of care, highlighting the need for new treatment options. Engineering T-cells with chimeric antigen receptors (CARs) has revolutionized the treatment of hematological malignancies but has been clinically less effective in solid tumors. We therefore sought to engineer alternative immune cell types to inhibit melanoma progression. Engineering macrophages with CARs has emerged as a promising approach to overcome some of the challenges faced by CAR-T cells; however, whether these engineered macrophages can effectively inhibit melanoma growth is unknown. To determine whether CAR-macrophages (CAR-Ms) specifically target and kill melanoma cells, we engineered CAR-Ms targeting chondroitin sulfate proteoglycan 4 (CSPG4), an antigen expressed in melanoma. CSPG4-targeting CAR-Ms exhibited specific phagocytosis of CSPG4-expressing melanoma cells. We developed 3D approaches to show that CSPG4-targeting CAR-Ms efficiently infiltrated melanoma spheroids. Furthermore, combining CSPG4-targeting CAR-Ms with strategies inhibiting CD47/SIRPα "don't eat me" signaling synergistically enhanced CAR-M-mediated phagocytosis and robustly inhibited melanoma spheroid growth in 3D. Importantly, CSPG4-targeting CAR-Ms inhibited melanoma tumor growth in mouse models. These results suggest engineering macrophages against melanoma antigens is a promising solid tumor immunotherapy approach for treating melanoma.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40082557 · DOI · PMC12122381

Heparan Sulfate Proteoglycans (HSPGs) and Their Degradation in Health and Disease [3]

Review article Greco N, Masola V, Onisto M · · 2025 · cited 12 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Heparan sulfate proteoglycans (HSPGs) are essential constituents of the extracellular matrix (ECM) and cell surface, orchestrating a wide range of biological processes, such as cell adhesion, migration, proliferation, and intercellular communication.
Closing excerpt
A deeper understanding of the HSPG/HPSE axis may pave the way for innovative therapeutic interventions in cancer, inflammatory disorders, and fibrotic diseases.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (241 words)

Heparan sulfate proteoglycans (HSPGs) are essential constituents of the extracellular matrix (ECM) and cell surface, orchestrating a wide range of biological processes, such as cell adhesion, migration, proliferation, and intercellular communication. Through their highly sulfated glycosaminoglycan chains, HSPGs serve as crucial modulators of bioavailability and signaling of growth factors, cytokines, and chemokines, thereby influencing tissue homeostasis. Their dynamic remodeling is mediated by numerous enzymes, with heparanase (HPSE) playing a predominant role as the only known human endo-β-D-glucuronidase that specifically cleaves heparan sulfate chains. Beyond its well-documented enzymatic activity in ECM degradation and the release of HS-bound molecules, HPSE also exerts non-enzymatic functions that regulate intracellular signaling cascades, transcriptional programs, and immune cell behavior. Dysregulated HPSE expression or activity has been implicated in various pathological conditions, including fibrosis, chronic inflammation, cancer progression, angiogenesis, metastasis, and immune evasion, positioning this enzyme as a pivotal driver of ECM plasticity in both health and disease. This review provides an updated overview of HSPG biosynthesis, structure, localization, and functional roles, emphasizing the activity of HPSE and its impact on tissue remodeling and disease pathogenesis. We further explored its involvement in the hallmark processes of cancer, the inflammatory tumor microenvironment, and its contribution to fibrosis. Finally, we summarize current therapeutic strategies targeting HPSE, outlining their potential to restore ECM homeostasis and counteract HPSE-driven pathological mechanisms. A deeper understanding of the HSPG/HPSE axis may pave the way for innovative therapeutic interventions in cancer, inflammatory disorders, and fibrotic diseases.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41301515 · DOI · PMC12650130

Metabolic dysfunction-associated steatotic liver disease accelerates pancreatic cancer progression and metastasis via the macrophage migration inhibitory factor-CD44 axis [4]

Research article Yu Q, Song H, Shi XY, Zhu L, Liang Y, Gong RN, et al. · · 2026 · cited 11 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a poor prognosis, particularly in the presence of liver metastases.
Closing excerpt
This study highlights the MIF-CD44 axis as a promising therapeutic target and underscores the importance of tailoring treatments for PDAC patients with concurrent MASLD.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (220 words)

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a poor prognosis, particularly in the presence of liver metastases. The mechanisms by which metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease (NAFLD), influences PDAC progression and metastasis remain poorly understood. This study investigates the role of MASLD in fostering an immunosuppressive microenvironment conducive to PDAC liver metastases and identifies the macrophage migration inhibitory factor (MIF)-CD44 axis as a key mediator of this process. Utilizing data from the UK Biobank (450,754 participants, median follow-up 14.5 years), we observed an overall increased risk of PDAC in the MASLD population (HR: 3.48; 95% CI: 2.69-4.50; P < 0.0001). Clinical cohorts confirmed the strong association between MASLD and hepatic metastases (OR: 7.06; 95% CI: 4.62-10.78; P < 0.0001). Experimental mouse models demonstrated that MASLD enhances tumor cell stemness, immune evasion, and focal adhesion in metastatic liver tissues. Mechanistically, MASLD-induced MIF secretion promotes CD44-positive PDAC cell migration, stemness, and adhesion. Targeting MIF, either genetically or pharmacologically using the MIF tautomerase inhibitor IPG1576 significantly attenuated liver metastasis in preclinical models. Validation in patient samples revealed elevated hepatic MIF and CD44 expression in MASLD-associated PDAC liver metastases. This study highlights the MIF-CD44 axis as a promising therapeutic target and underscores the importance of tailoring treatments for PDAC patients with concurrent MASLD.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41545340 · DOI · PMC12811260

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article The biology and role of CD44 in cancer progression: therapeutic implications [5]
    Chen C, Zhao S, Karnad A, Freeman JW · J Hematol Oncol · 2018 · cited 1,068 times (Europe PMC)
  • Research article The Biology of Regeneration Failure and Success After Spinal Cord Injury [6]
    Tran AP, Warren PM, Silver J · Physiol Rev · 2018 · cited 727 times (Europe PMC)
  • Research article The nature and biology of basement membranes [7]
    Pozzi A, Yurchenco PD, Iozzo RV · Matrix Biol · 2017 · cited 464 times (Europe PMC)
  • Research article Casting a Wide Net: Role of Perineuronal Nets in Neural Plasticity [8]
    Sorg BA, Berretta S, Blacktop JM, Fawcett JW, Kitagawa H, Kwok JC, et al. · J Neurosci · 2016 · cited 414 times (Europe PMC)
  • Research article Heparan Sulfate Proteoglycans and Viral Attachment: True Receptors or Adaptation Bias? [9]
    Cagno V, Tseligka ED, Jones ST, Tapparel C · Viruses · 2019 · cited 326 times (Europe PMC)
  • Research article Glypican-3: A promising biomarker for hepatocellular carcinoma diagnosis and treatment [10]
    Zhou F, Shang W, Yu X, Tian J · Med Res Rev · 2018 · cited 325 times (Europe PMC)

References

  1. Bao B, Tian M, Wang X, Yang C, Qu J, Zhou S, et al.. SNORA37/CMTR1/ELAVL1 feedback loop drives gastric cancer progression via facilitating CD44 alternative splicing. . 2025. PMID 39815331 · DOI · PMC11737211
  2. Greiner D, Xue Q, Waddell TQ, Kurudza E, Chaudhary P, Belote RL, et al.. Human CSPG4-targeting CAR-macrophages inhibit melanoma growth. . 2025. PMID 40082557 · DOI · PMC12122381
  3. Greco N, Masola V, Onisto M. Heparan Sulfate Proteoglycans (HSPGs) and Their Degradation in Health and Disease. . 2025. PMID 41301515 · DOI · PMC12650130
  4. Yu Q, Song H, Shi XY, Zhu L, Liang Y, Gong RN, et al.. Metabolic dysfunction-associated steatotic liver disease accelerates pancreatic cancer progression and metastasis via the macrophage migration inhibitory factor-CD44 axis. . 2026. PMID 41545340 · DOI · PMC12811260
  5. Chen C, Zhao S, Karnad A, Freeman JW. The biology and role of CD44 in cancer progression: therapeutic implications. J Hematol Oncol. 2018. PMID 29747682 · DOI · PMC5946470
  6. Tran AP, Warren PM, Silver J. The Biology of Regeneration Failure and Success After Spinal Cord Injury. Physiol Rev. 2018. PMID 29513146 · DOI · PMC5966716
  7. Pozzi A, Yurchenco PD, Iozzo RV. The nature and biology of basement membranes. Matrix Biol. 2017. PMID 28040522 · DOI · PMC5387862
  8. Sorg BA, Berretta S, Blacktop JM, Fawcett JW, Kitagawa H, Kwok JC, et al.. Casting a Wide Net: Role of Perineuronal Nets in Neural Plasticity. J Neurosci. 2016. PMID 27911749 · DOI · PMC5125213
  9. Cagno V, Tseligka ED, Jones ST, Tapparel C. Heparan Sulfate Proteoglycans and Viral Attachment: True Receptors or Adaptation Bias?. Viruses. 2019. PMID 31266258 · DOI · PMC6669472
  10. Zhou F, Shang W, Yu X, Tian J. Glypican-3: A promising biomarker for hepatocellular carcinoma diagnosis and treatment. Med Res Rev. 2018. PMID 28621802 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-31.

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At a glance

45,025
PubMed records on this heading
15%
published since 2020
3,899
review articles
218
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-31; they show how much has been written, not how strong the evidence is.

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