Evidence map›Paper›PMID 36134697›Full record

ArticleMolecular oncology2022

Hyaluronic acids mediate the infiltration, migration, and M2 polarization of macrophages: evaluating metabolic molecular phenotypes in gliomas.

Hao Zhang, Nan Zhang, Ziyu Dai, Zeyu Wang, Xun Zhang, Xisong Liang, Liyang Zhang, Songshan Feng, Wantao Wu, Weijie Ye and 5 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 21% 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.

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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  6. Hyaluronan: An Architect and Integrator for Cancer and Neural Diseases.International journal of molecular sciences · 2025
    Review
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  8. Article
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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

15 authors at 2 institutions in 1 country.

Hao ZhangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-4582-2556
Nan ZhangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Ziyu DaiDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Zeyu WangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Xun ZhangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Xisong LiangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Liyang ZhangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Songshan FengDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Wantao WuNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
Weijie YeDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.
Jian ZhangDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0001-7217-0111
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0002-8215-2045
Zaoqu LiuDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, China.
Quan ChengDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-2401-5349
Zhixiong LiuDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-0288-6306
Central South University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas cause high mortality around the world. The metabolic pattern of the tumor was previously suggested to be associated with the patient's survival outcome and immune activity. Yet, this relationship in glioma remains unknown. This study systematically evaluated the immune landscape in different phenotypes classified by metabolic-related pathways of 3068 glioma samples and 33 glioblastoma single-cell sequencing samples. Machine learning prediction analysis of microarray with R (pamr) was used for validating clustering results. A total of 5842 pan-cancer samples were used for external validation of the metabolic clusters. Cell Counting Kit-8 (CCK8) assay, cell clone assay, EdU assay, wound healing assay, Transwell assay, and co-culture assay were performed to verify the distinction in molecular characteristics among metabolic clusters. Metabolomics and RNA sequencing were performed on HS683 and U251 cells to annotate potential hyaluronic acid (HA)-mediated pathways. Three distinct metabolic phenotypes were identified. Metabolic cluster 1 correlated with a high number of immune infiltrating cells and poor survival of glioma patients. Metabolic clusters were proved with different levels of the macrophage markers CD68 and CD163 by multiplex immunofluorescence staining. Glioma cells from other metabolic clusters also expressed various levels of HA. HA was further found to mediate glioma proliferation, progression, and invasion. Moreover, HA potentially promoted macrophage recruitment and M2 polarization through the IL-1/CHI3L1 and TGF-b/CHI3L1 axes. HA also regulated the expression of PD-L1. This work revealed the significant connection between metabolic patterns, especially HA, and tumor immune infiltration in gliomas.

Indexed as

GliomaHyaluronic AcidHumansMacrophagesPhenotypeTumor MicroenvironmentHyaluronic Acidcell communicationgliomashyaluronic acidmacrophagemetabolismtumor microenvironment

Identifiers

PMID36134697
PMCPMC9718117
OpenAlexW4296638395

What OpenQuestion holds

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LicenceCC BY
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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.