Evidence map›Paper›PMID 39329209›Full record

ArticleInternational journal of oncology2024

AUP1 transcriptionally activated by KDM5B reprograms lipid metabolism to promote the malignant progression of cervical cancer.

Yingping Zhu, Wenjuan Yang, Xinyan Wang, Mengmeng Chen

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Article in International journal of oncology, 2024. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yingping ZhuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang 310006, P.R. China.
Wenjuan YangFirst Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310059, P.R. China.
Xinyan WangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang 310006, P.R. China.
Mengmeng ChenGynecology and Obstetrics Department, Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer is one of the reproductive malignancies threatening women's lives worldwide. In the present study, it was aimed to explore the role and mechanism of ancient ubiquitous protein 1 (AUP1) in cervical cancer. Through bioinformatics analysis, AUP1 expression in cervical cancer tissues and the correlation between AUP1 and the prognosis of patients were analyzed. AUP1 expression in several cervical cancer cell lines was detected. Following the co‑transfection of short hairpin RNA specific to AUP1 with or without lysine demethylase 5B (KDM5B) overexpression plasmids in SiHa cells, the proliferation and apoptosis of SiHa cells were detected. Additionally, wound healing and Transwell assays were used to detect SiHa cell migration and invasion. Cellular lipid droplets level was detected using the Oil red O staining. Meantime, the levels of triglyceride, cholesterol, oxygen consumption rates and expression of lipid metabolism‑related proteins were detected to assess the lipid metabolism in SiHa cells. Then, the luciferase reporter assay and ChIP assay were used to verify the binding between KDM5B and AUP1. Finally, the effects of AUP1 and KDM5B on the growth and lipid metabolism in SiHa tumor‑bearing mice were measured. AUP1 was significantly upregulated in cervical cancer tissues and cells. AUP1 interference inhibited the malignant biological behaviors and lipid metabolism reprogramming of SiHa cells, which was blocked by KDM5B overexpression. Moreover, KDM5B could transcriptionally activate AUP1 and upregulate AUP1 expression. Furthermore, AUP1 knockdown transcriptionally regulated by KDM5B limited the tumor growth and suppressed the lipid metabolism reprogramming

Indexed as

Cell ProliferationDisease ProgressionGene Expression Regulation, NeoplasticJumonji Domain-Containing Histone DemethylasesLipid MetabolismUterine Cervical NeoplasmsAnimalsApoptosisCell Line, TumorCell MovementFemaleHumansMiceMice, NudeMiddle AgedNuclear ProteinsJumonji Domain-Containing Histone DemethylasesKDM5B protein, humanNuclear ProteinsRepressor ProteinsRetinoblastoma-Binding Protein 2ancient ubiquitous protein 1cervical cancerlipid metabolism reprogramminglysine demethylase 5Bproliferation

Identifiers

PMID39329209
PMCPMC11436259

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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.