Evidence map›Paper›PMID 33376348›Full record

ArticleOncoTargets and therapy2020

MiR-519d and miR-328-3p Combinatorially Suppress Breast Cancer Progression.

Haiming Ma, Tao Liu, Yanhua Xu, Xinying Wang, Jin Wang, Xiaokang Liu

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Potential biomarkers as a predictive factor of response to primary chemotherapy in breast cancer patients.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024
    Article
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4 · The record

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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

6 authors.

Haiming MaDepartment of Oncology, Guangrao County People's Hospital, Dongying City, Shandong Province 257300, People's Republic of China.
Tao LiuDepartment of General Surgery, Guangrao County People's Hospital, Dongying City, Shandong Province 257300, People's Republic of China.
Yanhua XuDepartment of Anesthesiology, Guangrao County People's Hospital, Dongying City, Shandong Province 257300, People's Republic of China.
Xinying WangDepartment of Pathology, Guangrao County People's Hospital, Dongying City, Shandong Province 257300, People's Republic of China.
Jin WangDepartment of Oncology, Guangrao County People's Hospital, Dongying City, Shandong Province 257300, People's Republic of China.
Xiaokang LiuDepartment of Oncology, Guangrao County People's Hospital, Dongying City, Shandong Province 257300, People's Republic of China.ORCID 0000-0002-2250-9989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMiR-519d and miR-328-3p had tumor-regulatory properties in different cancers, but their combinatorial effects and potential common target in breast cancer had not been fully reported. This research targeted to study the underlying mechanism of how miR-519d and miR-328-3p cooperatively suppressed breast cancer.

methodsMiR-519d and miR-328-3p expressions in breast cancer tissues and cells were assessed and Ki-67 expression was also checked. DLR assay was executed to verify whether Ki-67 was a common target of miR-519d and miR-328-3p. Western blot, flow cytometry, colony formation, wound healing and transwell assays were applied to examine the inhibitory roles of these two miRNAs on the malignant behaviors of breast cancer cells and the potential molecular mechanism.

resultsImpeded miR-519d and miR-328-3p expressions and enhanced Ki-67 expression were detected in breast cancer tissues and cells. Ki-67 was confirmed as a target of these two miRNAs. MiR-519d and miR-328-3p hampered cell proliferation and blocked cell cycle via binding to Ki-67 and they also suppressed migration and invasion. The combinatorial effects of two miRNAs were much stronger than a single miRNA.

conclusionOur findings proved that miR-519d and miR-328-3p played combinatorial anti-cancer roles in breast cancer by directly targeting a common target Ki-67. Our study suggested that these two miRNAs might own the potential to become novel therapeutic biomarkers involved in the diagnosis and therapy of breast cancer.

Indexed as

breast cancerKi-67miR-328-3pmiR-519d

Identifiers

PMID33376348
PMCPMC7755341

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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.