Evidence map›Paper›PMID 32021247›Full record

ArticleOncoTargets and therapy2019

miR-520b Promotes Breast Cancer Stemness Through Hippo/YAP Signaling Pathway.

Hui Zhang, Ting-Yuan Lang, Dong-Ling Zou, Lei Zhou, Meng Lou, Jing-Shu Liu, Yun-Zhe Li, Dong-Yan Ding, Yu-Cong Li, Na Zhang and 4 more

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

21 citing papers in PubMed.

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  19. The Effect ofJournal of oncology · 2021
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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

14 authors.

Hui Zhang *Department of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.
Ting-Yuan Lang *Department of Gynecologic Oncology, Chongqing University Cancer Hospital and Chongqing Cancer Institute and Chongqing Cancer Hospital, Chongqing 400030, Chongqing, People's Republic of China.
Dong-Ling ZouDepartment of Gynecologic Oncology, Chongqing University Cancer Hospital and Chongqing Cancer Institute and Chongqing Cancer Hospital, Chongqing 400030, Chongqing, People's Republic of China.
Lei ZhouDepartment of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
Meng LouDepartment of Gynecologic Oncology, Chongqing University Cancer Hospital and Chongqing Cancer Institute and Chongqing Cancer Hospital, Chongqing 400030, Chongqing, People's Republic of China.
Jing-Shu LiuBioengineering College of Chongqing University, Chongqing University, Chongqing 400030, Chongqing, People's Republic of China.
Yun-Zhe LiBioengineering College of Chongqing University, Chongqing University, Chongqing 400030, Chongqing, People's Republic of China.
Dong-Yan DingBioengineering College of Chongqing University, Chongqing University, Chongqing 400030, Chongqing, People's Republic of China.
Yu-Cong LiDepartment of Gynecologic Oncology, Chongqing University Cancer Hospital and Chongqing Cancer Institute and Chongqing Cancer Hospital, Chongqing 400030, Chongqing, People's Republic of China.
Na ZhangDepartment of Gynecologic Oncology, Chongqing University Cancer Hospital and Chongqing Cancer Institute and Chongqing Cancer Hospital, Chongqing 400030, Chongqing, People's Republic of China.
Xiao-Dong ZhengBreast Cancer Center, Chongqing University Cancer Hospital and Chongqing Cancer Institute and Chongqing Cancer Hospital, Chongqing 400030, Chongqing, People's Republic of China.
Xiao-Hua ZengBreast Cancer Center, Chongqing University Cancer Hospital and Chongqing Cancer Institute and Chongqing Cancer Hospital, Chongqing 400030, Chongqing, People's Republic of China.
Qi ZhouDepartment of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.
Li LiDepartment of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe breast cancer stem cells contribute to the initiation, progression, recurrence, metastasis as well as resistance of breast cancer. However, the mechanisms underlying the maintenance of breast cancer stemness have not been fully understood. MATERIALS AND

methodsTCGA and GEO data were used for measuring miR-520b expression in breast cancer tissues. Kaplan-meier analysis was used for determining the relationship between miR-520b expression level and the prognosis of patients. Genetic manipulation was performed by lentivirus system and miR-520b inhibitor was used for knockdown of miR-520b. qRT-PCR and Western blot were employed to determine the mRNA and protein levels, respectively. The stemness and EMT (Epithelial to mesenchymal transition) were assessed by sphere-formation and transwell assay as well as the expression of the related markers. The target genes of miR-520b were identified using the online database starBase V3.0.

resultsmiR-520b is upregulated in cancer tissues of breast cancer patients and predicts poor prognosis. Upregulation of miR-520b was found in breast cancer stem cells. Ectopic expression of miR-520b promotes the stemness of the breast cancer cells, conversely, depletion of miR-520b attenuates the stemness of these cells. miR-520b positively regulates Hippo/YAP signaling pathway and overexpression of LAST2 abolished the effect of miR-520b on the stemness of breast cancer cells.

conclusionmiR-520b promotes the stemness of breast cancer patients by activating Hippo/YAP signaling via targeting LATS2.

Indexed as

breast cancerHippo/YAPLATS2miR-520bstemness

Identifiers

PMID32021247
PMCPMC6942529

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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.