Evidence map›Paper›PMID 35840985›Full record

ArticleWorld journal of surgical oncology2022

Heparanase is a prognostic biomarker independent of tumor purity and hypoxia based on bioinformatics and immunohistochemistry analysis of esophageal squamous cell carcinoma.

Yu Wang, Tongjun Song, Kai Li, Hao Liu, Yan Han, Tao Xu, Fengjun Cao, Yong Li, Yuandong Yu

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Yu WangDepartment of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, People's Republic of China.
Tongjun SongDepartment of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, People's Republic of China.
Kai LiDepartment of Pathology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, People's Republic of China.
Hao LiuDepartment of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, People's Republic of China.
Yan HanDepartment of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, People's Republic of China.
Tao XuDepartment of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, People's Republic of China.
Fengjun CaoDepartment of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, People's Republic of China.
Yong LiDepartment of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, People's Republic of China. studyong@outlook.com.
Yuandong YuDepartment of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, People's Republic of China. yydrmyy@outlook.com.
Hubei University of Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEsophageal squamous cell carcinoma (ESCC) is a common malignant tumor of the digestive tract with a poor prognosis. The tumor microenvironment (TME) is mainly composed of tumor cells, stromal cells, and immune cells and plays an important role in ESCC development. There are substantial differences in tumor purity among different parts of ESCC tissues, consisting of distinct immune and stromal cells and variations in the status of hypoxia. Thus, prognostic models of ESCC based on bioinformatic analysis of tumor tissues are unreliable.

methodDifferentially expressed genes (DEGs) independent of tumor purity and hypoxia were screened by Spearman correlation analysis of public ESCC cohorts. Subsequently, the DEGs were subjected to Cox regression analysis. Then, we constructed a protein-protein interaction (PPI) network of the DEGs using Cytoscape. Intersection analysis of the univariate Cox and PPI results indicated that heparanase (HPSE), an endo-β-D-glucuronidase capable of cleaving heparan sulfate side chains, was a predictive factor. Gene set enrichment analysis (GSEA) was used to reveal the potential function of HPSE, and single-cell sequencing data were analyzed to evaluate the distribution of HPSE in immune cells. Furthermore, a human ESCC tissue microarray was used to validate the expression and prognostic value of HPSE.

resultWe found that HPSE was downregulated in ESCC tissues and was not correlated with tumor purity or hypoxia status. HPSE is involved in multiple biological processes. ESCC patients with low HPSE expression in cancerous tissues exhibited poor prognosis.

conclusionsThese results indicate that low HPSE expression in cancerous tissues correlates with poor prognosis in patients with ESCC. HPSE is a novel prognostic biomarker independent of tumor purity and hypoxia status in ESCC.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaBiomarkers, TumorComputational BiologyGene Expression Regulation, NeoplasticGlucuronidaseHeparanaseHumansHypoxiaImmunohistochemistryPrognosisTumor MicroenvironmentBiomarkers, TumorGlucuronidaseHeparanaseEsophageal squamous cancerHypoxiaImmunohistochemical stainingTumor purity

Identifiers

PMID35840985
PMCPMC9288057
OpenAlexW4285587314

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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.