Evidence map›Paper›PMID 37488766›Full record

ArticleIET systems biology2023

High expression of centromere protein A and its molecular mechanism and clinical significance in prostate cancer: A study based on data mining and immunohistochemistry.

Fang-Cheng Jiang, Gao-Qiang Zhai, Jia-Lin Liu, Rui-Gong Wang, Yuan-Ping Yang, Harivignesh Murugesan, Xiao-Xiang Yu, Xiu-Fang Du, Juan He, Zhen-Bo Feng and 4 more

Open access · goldAbstract read
In one paragraph

Article in IET systems biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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

14 authors at 2 institutions in 1 country.

Fang-Cheng JiangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Gao-Qiang ZhaiDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jia-Lin LiuDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Rui-Gong WangDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yuan-Ping YangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Harivignesh MurugesanDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xiao-Xiang YuDepartment of Urology, The 923rd Hospital of Chinese People's Liberation Army Joint Logistics Support Force, Nanning, China.
Xiu-Fang DuDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Juan HeDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Zhen-Bo FengDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Shang Ling PanDepartment of Pathophysiology, School of Pre-clinical Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Gang ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Sheng-Hua LiDepartment of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID 0000-0002-0125-6345
Zhi-Guang HuangDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID 0000-0003-4457-9491
Guangxi Medical University · CN303 Hospital of People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The progression of prostate cancer (PCa) leads to poor prognosis. However, the molecular mechanism of PCa is still not completely clear. This study aimed to elucidate the important role of centromere protein A (CENPA) in PCa. Large numbers of bulk RNA sequencing (RNA-seq) data and in-house immunohistochemistry data were used in analysing the expression level of CENPA in PCa and metastatic PCa (MPCa). Single-cell RNA-seq data was used to explore the expression status of CENPA in different prostate subpopulations. Enrichment analysis was employed to detect the function of CENPA in PCa. Clinicopathological parameters analysis was utilised in analysing the clinical value of CENPA. The results showed that CENPA was upregulated in PCa (standardised mean difference [SMD] = 0.83, p = 0.001) and MPCa (SMD = 0.61, p = 0.029). CENPA was overexpressed in prostate cancer stem cells (CSCs) with androgen receptor (AR) negative compared to epithelial cells with AR positive. CENPA may influence the development of PCa through affecting cell cycle. Patients with nodal metastasis had higher expression level of CENPA. And patients with high CENPA expression had poor disease-free survival. Taken together, Overexpression of CENPA may influence the development of PCa by regulating cell cycle and promoting metastasis.

Indexed as

Clinical RelevanceProstatic NeoplasmsCell Line, TumorCentromere Protein AData MiningGene Expression Regulation, NeoplasticHumansImmunohistochemistryMaleReceptors, AndrogenCentromere Protein AReceptors, Androgencentromere protein A (CENPA)data miningimmunohistochemistryprostate cancer (PCa)single-cell RNA sequencing

Identifiers

PMID37488766
PMCPMC10579994
OpenAlexW4385231059

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.