Evidence map›Paper›PMID 33622998›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2021

Expression of Cell Division Cycle Protein 45 in Tissue Microarrays and the CDC45 Gene by Bioinformatics Analysis in Human Hepatocellular Carcinoma and Patient Outcomes.

Hui-Ping Lu, Xiu-Fang Du, Jian-Di Li, Su-Ning Huang, Rong-Quan He, Hua-Yu Wu, Ming-Fen Li, Wei-Zi Wu, Ji-Tian Chen, Wei-Jia Mo and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

15 citing papers in PubMed, 18 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

11 authors at 3 institutions in 1 country.

Hui-Ping LuDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Xiu-Fang DuDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Jian-Di LiDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Su-Ning HuangDepartment of Radiotherapy, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China (mainland).
Rong-Quan HeDepartment of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Hua-Yu WuDepartment of Cell Biology and Genetics, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China (mainland).
Ming-Fen LiLaboratory Department, The First Affiliated Hospital of The University of Chinese Medicine in Guangxi, Nanning, Guangxi, China (mainland).
Wei-Zi WuDepartment of Pathology, Lingshan People's Hospital, Qinzhou, Guangxi, China (mainland).
Ji-Tian ChenDepartment of Pathology, Lingshan People's Hospital, Qinzhou, Guangxi, China (mainland).
Wei-Jia MoDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Gang ChenDepartment of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CNPeople's Hospital of Bishan District · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Hepatocellular carcinoma (HCC) causes a heavy disease burden worldwide. Cell division cycle 45 (Cdc45) and its encoding gene (CDC45) have been studied for a long time, but their expression patterns and roles in liver carcinogenesis and advanced HCC deterioration are still incompletely understood. This study integrated tissue microarray and bioinformatics analyses to explore the expression and clinical value of CDC45 and Cdc45 in HCC. MATERIAL AND METHODS In HCC, the expression and relationships with clinic-pathological parameters of CDC45 and Cdc45 were investigated by integrating the RNA-sequencing data, downloaded from The Cancer Genome Atlas and Oncomine databases, and tissue microarray with immunohistochemistry staining. Co-expressed genes and genetic alterations of CDC45 separately obtained from Oncomine and cBioPortal databases were identified to shed light on the potential mechanisms of CDC45 in HCC. RESULTS CDC45 and Cdc45 were both overexpressed in HCC tissues, and the CDC45 level progressively increased from stage I to III. The survival outcomes of the group with high CDC45 expression were significantly worse compared with the group with low expression. Amplification and deep deletion were 2 major significant alteration types in HCC patients, and the outcomes were worse in patients with altered versus unaltered CDC45. NUDT1, E2F1, CCNE2, MCM5, and CENPM were identified as the most significantly co-expressed genes. CONCLUSIONS CDC45 and Cdc45 were both upregulated in HCC, and increased expression levels and genetic alternations of CDC45 were correlated with worse prognosis in HCC patients. CDC45 may promote HCC by co-expressing with NUDT1, E2F1, CCNE2, MCM5, and CENPM.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularCell Cycle ProteinsComputational BiologyGene ExpressionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLiver NeoplasmsPrognosisSequence Analysis, RNATranscriptomeBiomarkers, TumorCDC45 protein, humanCell Cycle Proteins

Identifiers

PMID33622998
PMCPMC7919231
OpenAlexW3117048746

What OpenQuestion holds

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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.