Evidence map›Paper›PMID 29416769›Full record

ArticleOncotarget2018

Roles of MALAT1 in development and migration of triple negative and Her-2 positive breast cancer.

Zhang Xiping, Chen Bo, Yang Shifeng, Yu Feijiang, Yang Hongjian, Cheng Qihui, Tang Binbin

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

29 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Deciphering the role of CD47 in cancer immunotherapy.Journal of advanced research · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Hypoxia-driven ncRNAs in breast cancer.Frontiers in oncology · 2023
    Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Hypoxia-induced alternative splicing: the 11th Hallmark of Cancer.Journal of experimental & clinical cancer research : CR · 2020
    Review
  20. Article
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

7 authors at 3 institutions in 1 country.

Zhang XipingDepartment of Breast Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, Zhejiang Province, China.
Chen BoDepartment of Pathology, Zhejiang Cancer Hospital, Hangzhou 310022, Zhejiang Province, China.
Yang ShifengDepartment of Pathology, Zhejiang Cancer Hospital, Hangzhou 310022, Zhejiang Province, China.
Yu FeijiangDepartment of Medical Records Room, Zhejiang Cancer Hospital, Hangzhou 310022, Zhejiang Province, China.
Yang HongjianDepartment of Breast Surgery, Zhejiang Cancer Hospital, Hangzhou 310022, Zhejiang Province, China.
Cheng QihuiDepartment of Obstetrics and Gynecology, Hangzhou First People's Hospital, Hangzhou 310006, Zhejiang Province, China.
Tang BinbinSecond Outpatient Department of Traditional Chinese Internal Medicine, Tongde Hospital of Zhejiang Province, Hangzhou 310012, Zhejiang Province, China.
Zhejiang Cancer Hospital · CNHangzhou First People's Hospital · CNTongde Hospital of Zhejiang Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a type of new targets for prognosis of malignancies, long non-coding RNA MALAT1 (metastasis-associated lung adenocarcinoma transcription 1) is associated with proliferation and metastatic abilities of several malignancies. However, its relations to development and migration of triple negative and human epidermal growth factor receptor 2 (Her-2) positive breast cancers haven't been reported.

objectivesIn this paper, we aimed to discuss how MALAT1 is connected with and affects proliferation and invasion abilities of cells in Her-2 positive and triple-negative breast cancers (TNBC).

methodsThe expression of MALAT1 in clinical samples with TNBC and Her-2 positive breast cancers was tested by qRT-PCR. The statistical analysis was performed to unveil the potential relationships between the expression of MALAT1 and prognostic factors of breast cancer such as OS (overall survival), RFS (relapse-free survival), number of metastatic lymph nodes and pTNM staging in patients with TNBC or Her-2 positive breast cancer. MALAT1 and XBP1 were knockdown respectively in Her-2 positive cell line MDA-MB-231, and MALAT1 and Her-2 were knockdown respectively in TNBC cell line MDA-MD-435 using siRNA. The alterations of expressions of MALAT1 and related genes were detected by qRT-PCR in two breast cancer cell lines. The changes of proliferation abilities in two cell lines were observed using CCK8 assays. Furthermore, transwell assays were performed to detect changes to invasion abilities of the cells.

resultsThe expression of MALAT1 in triple negative and Her-2 positive breast cancers was positively correlated to the number of metastatic lymph nodes in patients with breast cancer. MALAT1 promotes proliferation and invasion abilities of breast cancer cells through XBP1 (X-box binding protein 1)-HIF (hypoxia-inducible factor)-1α pathway in MDA-MB-231 and through Her-2 pathway in MDA-MD-435. Moreover, MALAT1 could possibly be involved in regulation of MYC gene and CD47 (an immune checkpoint gene) in both cell lines.

conclusionsOur study suggested that MALAT1 is a core signaling molecule for promoting development and migration of triple negative and Her-2 positive breast cancers. It would be employed as common markers for prognosis of the two types of breast cancer mentioned above and potential targets for treating them.

Indexed as

breast cancerHer-2 positiveMALAT1triple negative

Identifiers

PMID29416769
PMCPMC5788637
OpenAlexW2777294334

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.