Evidence map›Paper›PMID 29434914›Full record

ArticleOncology letters2018

Long non-coding RNA MALAT-1 contributes to maintenance of stem cell-like phenotypes in breast cancer cells.

Linghuan Zeng, Ying Cen, Junjie Chen

RetractedAbstract readRetracted Publication
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Long non-coding RNAs in breast cancer stem cells.Medical oncology (Northwood, London, England) · 2023
    Review
  4. Article
  5. Targeting Breast Cancer Stem Cells.International journal of biological sciences · 2023
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Regulatory Networks of LncRNA MALAT-1 in Cancer.Cancer management and research · 2020
    Review
  17. Review
  18. The emerging role of lncRNAs in the regulation of cancer stem cells.Cellular oncology (Dordrecht, Netherlands) · 2018
    Review
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Linghuan ZengDepartment of Burn and Plastic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China.
Ying CenDepartment of Burn and Plastic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China.
Junjie ChenDepartment of Burn and Plastic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the accumulating evidence that has demonstrated the vital role of cancer stem cells (CSCs) in tumor initiation, progression and metastasis, the mechanisms that maintain the stemness of CSCs have attracted increasing attention. Metastasis-associated lung adenocarcinoma transcript-1 (MALAT-1), a long non-coding RNA, which has been revealed to be associated with the malignant behavior of tumors, performs a critical role in maintaining the stemness in several CSCs. In the present study, it was hypothesized that MALAT-1 promotes stem cell-like phenotypes in breast cancer cells. The present data demonstrated that the expression of MALAT-1 was higher in the CSC subpopulation compared with that in the overall MCF7 cell group and that the knockdown of MALAT-1 decreased the proportion of CSCs. The self-renewal assay also demonstrated that knockdown of MALAT-1 decreased the sphere formation rate

Indexed as

breast cancer cellscancer stem cellsmetastasis-associated lung adenocarcinoma transcript-1sex-determining region Y-box 2

Identifiers

PMID29434914
PMCPMC5777122

What OpenQuestion holds

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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.