Evidence map›Paper›PMID 31273952›Full record

ArticleJournal of cellular and molecular medicine2019

Metformin mediates induction of miR-708 to inhibit self-renewal and chemoresistance of breast cancer stem cells through targeting CD47.

Weige Tan, Hailin Tang, Xinhua Jiang, Feng Ye, Lili Huang, Dingbo Shi, Laisheng Li, Xiaojia Huang, Li Li, Xiaoming Xie and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 5% of its field
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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Recent advances in the regulation of CD47 by non-coding RNAs and its therapeutic potential in cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  4. Macrophage-cancer cell crosstalk in breast cancer chemotherapy resistance.Medical oncology (Northwood, London, England) · 2025
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Deciphering the role of CD47 in cancer immunotherapy.Journal of advanced research · 2024
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Targeting Breast Cancer Stem Cells.International journal of biological sciences · 2023
    Review
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

11 authors at 3 institutions in 1 country.

Weige TanDepartment of Breast Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID 0000-0001-8633-1692
Hailin TangSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Xinhua JiangSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Feng YeSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Lili HuangGuangzhou School of Medicine, Guangzhou Medical University, Guangzhou, China.
Dingbo ShiSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Laisheng LiDepartment of Laboratory Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xiaojia HuangSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Li LiSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Xiaoming XieSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Xinhua XieSun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.ORCID 0000-0002-2775-0990
Sun Yat-sen University · CNFirst Affiliated Hospital of Guangzhou Medical University · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer stem cells (BCSCs) have been considered responsible for cancer progression, recurrence, metastasis and drug resistance. However, the mechanisms by which cells acquire self-renewal and chemoresistance properties are remaining largely unclear. Herein, we evaluated the role of miR-708 and metformin in BCSCs, and found that the expression of miR-708 is significantly down-regulated in BCSCs and tumour tissues, and correlates with chemotherapy response and prognosis. Moreover, miR-708 markedly inhibits sphere formation, CD44

Indexed as

BreastBreast NeoplasmsCD24 AntigenCD47 AntigenCell Line, TumorCell Self RenewalDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticHumansHyaluronan ReceptorsMacrophagesMCF-7 CellsMetforminMicroRNAsMiddle AgedCD24 AntigenCD24 protein, humanCD44 protein, humanCD47 AntigenCD47 protein, humanHyaluronan ReceptorsMetforminMicroRNAsMIRN708 microRNA, humanRNA, Small InterferingBCSCsCD47metforminMiR-708

Identifiers

PMID31273952
PMCPMC6714171
OpenAlexW2955317546

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.