Evidence map›Paper›PMID 36750807›Full record

ArticleBMC cancer2023

HELLPAR/RRM2 axis related to HMMR as novel prognostic biomarker in gliomas.

Huaxin Zhu, Jiacong Tan, Xinyi Pan, Hengyang Ouyang, Zhixiong Zhang, Meihua Li, Yeyu Zhao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. CD168 Identifies Proliferating Pancreatic Islet Cells in Murine and Human.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

7 authors at 2 institutions in 1 country.

Huaxin ZhuDepartment of Neurosurgery, the First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, China.
Jiacong TanDepartment of Neurosurgery, the First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, China.
Xinyi PanHuankui Academy, Nanchang University, Honggutan New District, Jiangxi, 330006, Nanchang, China.
Hengyang OuyangHuankui Academy, Nanchang University, Honggutan New District, Jiangxi, 330006, Nanchang, China.
Zhixiong ZhangDepartment of Neurosurgery, the First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, China.
Meihua LiDepartment of Neurosurgery, the First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, China. limeihua2000@sina.com.
Yeyu ZhaoDepartment of Neurosurgery, the First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, China. zyp19850922@126.com.
First Affiliated Hospital of Nanchang University · CNNanchang University · CN

Funding

National Natural Science Foundation of China 81860225Natural Science Foundation of Jiangxi Province 20212BAB206029young talents research and cultivation fundation of the First Affiliated Hospital of Nanchang University YFYPY202038
6 · The paper itself

Abstract

backgroundGliomas are the most frequent type of central nervous system tumor, accounting for more than 70% of all malignant CNS tumors. Recent research suggests that the hyaluronan-mediated motility receptor (HMMR) could be a novel potential tumor prognostic marker. Furthermore, mounting data has highlighted the important role of ceRNA regulatory networks in a variety of human malignancies. The complexity and behavioural characteristics of HMMR and the ceRNA network in gliomas, on the other hand, remained unknown.

methodsTranscriptomic expression data were collected from TCGA, GTEx, GEO, and CGGA database.The relationship between clinical variables and HMMR was analyzed with the univariate and multivariate Cox regression. Kaplan-Meier method was used to assess OS. TCGA data are analyzed and processed, and the correlation results obtained were used to perform GO, GSEA, and ssGSEA. Potentially interacting miRNAs and lncRNAs were predicted by miRWalk and StarBase.

resultsHMMR was substantially expressed in gliomas tissues compared to normal tissues. Multivariate analysis revealed that high HMMR expression was an independent predictive predictor of OS in TCGA and CGGA. Functional enrichment analysis found that HMMR expression was associated with nuclear division and cell cycle. Base on ssGSEA analysis, The levels of HMMR expression in various types of immune cells differed significantly. Bioinformatics investigation revealed the HEELPAR-hsa-let-7i-5p-RRM2 ceRNA network, which was linked to gliomas prognosis. And through multiple analysis, the good predictive performance of HELLPAR/RRM2 axis for gliomas patients was confirmed.

conclusionThis study provides multi-layered and multifaceted evidence for the importance of HMMR and establishes a HMMR-related ceRNA (HEELPAR-hsa-let-7i-5p-RRM2) overexpressed network related to the prognosis of gliomas.

Indexed as

GliomaBiomarkers, TumorExtracellular Matrix ProteinsHumansHyaluronan ReceptorsPrognosisRibonucleoside Diphosphate ReductaseBiomarkers, TumorExtracellular Matrix Proteinshyaluronan-mediated motility receptorHyaluronan ReceptorsRibonucleoside Diphosphate Reductaseribonucleotide reductase M2ceRNA networkGliomasHELLPAR/RRM2 axisHMMRPrognosis

Identifiers

PMID36750807
PMCPMC9903609
OpenAlexW4319437566

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Registered trials

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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.