Evidence map›Paper›PMID 34366326›Full record

ArticleCancer biomarkers : section A of Disease markers2022

E2F1 transcriptionally regulates CCNA2 expression to promote triple negative breast cancer tumorigenicity.

Yongbin Lu, Fei Su, Hui Yang, Yi Xiao, Xiaobin Zhang, Hongxin Su, Tao Zhang, Yana Bai, Xiaoling Ling

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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

9 authors.

Yongbin LuScientific Development and Planing Department, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Fei SuDepartment of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Hui YangInternational Medical Department Area B, Gansu Provincial Maternity and Child-care Hospital, Lanzhou, Gansu, China.
Yi XiaoBreast surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Xiaobin ZhangBreast surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Hongxin SuDepartment of Radiotherapy, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Tao ZhangDepartment of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Yana BaiCollege of Earth and Environmental Sciences, Lanzhou University, Lanzhou, Gansu, China.
Xiaoling LingDepartment of Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriple-negative breast cancer (TNBC) is a highly malignant breast cancer subtype with a poor prognosis. The cell cycle regulator cyclin A2 (CCNA2) plays a role in tumor development. Herein, we explored the role of CCNA2 in TNBC.

methodsWe analyzed CCNA2 expression in 15 pairs of TNBC and adjacent tissues and assessed the relationship between CCNA2 expression using the tissue microarray cohort. Furthermore, we used two TNBC cohort datasets to analyze the correlation between CCNA2 and E2F transcription factor 1 (E2F1) and a luciferase reporter to explore their association. Through rescue experiments, we analyzed the effects of E2F1 knockdown on CCNA2 expression and cellular behavior.

resultsWe found that CCNA2 expression in TNBC was significantly higher than that in adjacent tissues with similar observations in MDA-MB-231 and MDA-MB-468 cells. E2F1 was highly correlated with CCNA2 as observed through bioinformatics analysis (R= 0.80, P< 0.001) and through TNBC tissue verification analysis (R= 0.53, P< 0.001). We determined that E2F1 binds the +677 position within the CCNA2 promoter. Moreover, CCNA2 overexpression increased cell proliferation, invasion, and migration owing to E2F1 upregulation in TNBC.

conclusionOur data indicate that E2F1 promotes TNBC proliferation and invasion by upregulating CCNA2 expression. E2F1 and CCNA2 are potential candidates that may be targeted for effective TNBC treatment.

Indexed as

Triple Negative Breast NeoplasmsCell Line, TumorCell MovementCell ProliferationCyclin A2E2F1 Transcription FactorGene Expression Regulation, NeoplasticHumansUp-RegulationCCNA2 protein, humanCyclin A2E2F1 protein, humanE2F1 Transcription FactorCCNA2E2F1TNBCtumorigenicity

Identifiers

PMID34366326
PMCPMC12364124

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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.