Evidence map›Paper›PMID 34393500›Full record

ArticleInternational journal of general medicine2021

PROZ May Serve as a Prognostic Biomarker for Early Hepatocellular Carcinoma.

Xiaocong Jiang, Ting Song, Xiuhua Pan, Xinyu Zhang, Yuhong Lan, Li Bai

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2021. 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
0.3field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 2 institutions in 1 country.

Xiaocong Jiang *Department of Radiotherapy Oncology, Huizhou Central People's Hospital, Huizhou, 516001, Guangdong, People's Republic of China.
Ting Song *Department of Hepatology, The Sixth People's Hospital of Qingdao, Qingdao, 266033, Shandong, People's Republic of China.
Xiuhua PanDepartment of Radiotherapy Oncology, Huizhou Central People's Hospital, Huizhou, 516001, Guangdong, People's Republic of China.
Xinyu ZhangDepartment of Radiotherapy Oncology, Huizhou Central People's Hospital, Huizhou, 516001, Guangdong, People's Republic of China.
Yuhong LanDepartment of Radiotherapy Oncology, Huizhou Central People's Hospital, Huizhou, 516001, Guangdong, People's Republic of China.
Li BaiDepartment of Radiotherapy Oncology, Huizhou Central People's Hospital, Huizhou, 516001, Guangdong, People's Republic of China.
Huizhou Central People's Hospital · CNQingdao Eighth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe occurrence and development of hepatocellular carcinoma (HCC) remain unclear. This study aimed to investigate potential diagnostic or prognostic markers for early HCC by applying bioinformatic analysis.

methodsThe gene expression profiles of early HCC and normal tissues from a TCGA dataset were used to identify differentially expressed genes (DEGs) and then analysed by weighted gene coexpression network analysis. The integrated genes were selected to construct the protein-protein interaction (PPI) network and determine the hub genes. The prognostic impact of the hub genes was then analysed.

resultsA total of 508 integrated genes were selected from the 615 DEGs and 8956 genes in the turquoise module. A PPI network was constructed, and the top 20 hub genes, including apolipoprotein A-IV (APOA4), fibrinogen gamma chain (FGG), vitamin K-dependent protein Z (PROZ), secreted phosphoprotein 24 (SPP2) and fetuin-B (FETUB), were identified. Only PROZ was significantly associated with the prognosis of early HCC.

conclusionIn this study, we demonstrated that the expression of PROZ was decreased in early HCC compared with normal liver controls, and low PROZ expression might result in poor overall survival of early HCC.

Indexed as

bioinformatics analysishepatocellular carcinomavitamin K-dependent protein Zweighted gene coexpression network analysis

Identifiers

PMID34393500
PMCPMC8354773
OpenAlexW3187644531

What OpenQuestion holds

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LicenceCC BY-NC
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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.