Evidence map›Paper›PMID 39586885›Full record

ArticleFunctional & integrative genomics2024

TBP activates DCBLD1 transcription to promote cell cycle progression in cervical cancer.

Zhigang Shen, Mei Li, He Zhu, Tao Song

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Article in Functional & integrative genomics, 2024. 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
–field-weighted citation impact
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

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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.

  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

4 authors.

Zhigang ShenDepartment of Pharmacy, Jilin Cancer Hospital, NO. 1066, Jinhu Road, High-tech District, Changchun, Jilin, 130012, P.R. China.
Mei LiDepartment of Pharmacy, Jilin Cancer Hospital, NO. 1066, Jinhu Road, High-tech District, Changchun, Jilin, 130012, P.R. China.
He ZhuDepartment of Gynecology and Oncology, The Second Affiliated Hospital of Jilin University, Changchun, Jilin, 130041, P.R. China.
Tao SongDepartment of Pharmacy, Jilin Cancer Hospital, NO. 1066, Jinhu Road, High-tech District, Changchun, Jilin, 130012, P.R. China. Songtao4181@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discoidin, CUB, and LCCL domain-containing (DCBLD) proteins have been associated with poor prognosis of human cancers. This study investigated the function of DCBLD1 in the development of cervical cancer (CC) and explored its associated mechanism. DCBLD1 was identified as a dysregulated gene in CC via bioinformatics analysis. Immunohistochemistry and RT-qPCR assays revealed increased DCBLD1 expression in CC specimens and cells. Artificial DCBLD1 knockdown blocked the proliferation, invasion, and migration of cells, while promoting cell apoptosis and inducing cell cycle arrest in the G1 phase. Following bioinformatic predictions and subsequent chromatin-immunoprecipitation and luciferase reporter assays, TATA-box binding protein (TBP) was found to be a transcription factor that binds to the DCBLD1 promoter region for transcriptional activation. Knockdown of TBP similarly blocked the malignant properties of CC cells and induced cell cycle arrest, but these changes were reversed by further DCBLD1 overexpression. Xenograft mouse tumors were generated for in vivo validation. Consistently, the tumorigenic activity of CC cells in nude mice was suppressed by TBP knockdown, but restored by DCBLD1 overexpression. In conclusion, this study provides novel evidence that TBP-mediated DCBLD1 activation is correlated with cell cycle and CC progression. TBP and DCBLD1 may serve as potential therapeutic targets for CC management.

Indexed as

TATA-Box Binding ProteinUterine Cervical NeoplasmsAnimalsApoptosisCell CycleCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMiceMice, NudePromoter Regions, GeneticTranscriptional ActivationTATA-Box Binding ProteinTBP protein, humanCell cycle arrestCervical cancerDCBLD1TBPXenograft tumors

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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.