Evidence map›Paper›PMID 26887056›Full record

ArticleOncotarget2016

Long non-coding RNA MALAT1 increases AKAP-9 expression by promoting SRPK1-catalyzed SRSF1 phosphorylation in colorectal cancer cells.

Zhi-Yan Hu, Xiao-Yan Wang, Wen-Bin Guo, Lin-Ying Xie, Yu-Qi Huang, Yan-Ping Liu, Li-Wei Xiao, Sheng-Nan Li, Hui-Fang Zhu, Zu-Guo Li and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
4.3field-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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Tumor-promoting effect and tumor immunity of SRSFs.Frontiers in cell and developmental biology · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. SRPKs: a promising therapeutic target in cancer.Clinical and experimental medicine · 2023
    Review
  11. MIMT1 and LINC01550 are uncharted lncRNAs down-regulated in colorectal cancer.International journal of experimental pathology · 2023
    Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Noncoding RNAs regulate alternative splicing in Cancer.Journal of experimental & clinical cancer research : CR · 2021
    Review
  18. Review
  19. Hypoxia-induced alternative splicing: the 11th Hallmark of Cancer.Journal of experimental & clinical cancer research : CR · 2020
    Review
  20. Regulatory Networks of LncRNA MALAT-1 in Cancer.Cancer management and research · 2020
    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 2 institutions in 1 country.

Zhi-Yan HuDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiao-Yan WangDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Wen-Bin GuoDepartment of Hepatobiliary Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Lin-Ying XieDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yu-Qi HuangDepartment of Hepatobiliary Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yan-Ping LiuDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Li-Wei XiaoDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Sheng-Nan LiDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Hui-Fang ZhuDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zu-Guo LiDepartment of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Heping KanDepartment of Hepatobiliary Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Nanfang Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our earlier findings indicate that the long non-coding RNA MALAT1 promotes colorectal cancer (CRC) cell proliferation, invasion and metastasis in vitro and in vivo by increasing expression of AKAP-9. In the present study, we investigated the molecular mechanism by which MALAT1 enhances AKAP9 expression in CRC SW480 cells. We found that MALAT1 interacts with both SRPK1 and SRSF1. MALAT1 increases AKAP-9 expression by promoting SRPK1-catalyzed SRSF1 phosphorylation. Following MALAT1 knockdown, overexpression of SRPK1 was sufficient to restore SRSF1 phosphorylation and AKAP-9 expression to a level that promoted cell proliferation, invasion and migration in vitro. Conversely, SRPK1 knockdown after overexpression of MALAT1 in SW480 cells diminished SRSF1 phosphorylation and AKAP-9 expression and suppressed cell proliferation, invasion and migration in vitro. These findings suggest MALAT1 increases AKAP-9 expression by promoting SRPK1-catalyzed SRSF1 phosphorylation in CRC cells. These results reveal a novel molecular mechanism by which MALAT1 regulates AKAP-9 expression in CRC cells.

Indexed as

A Kinase Anchor ProteinsCell Line, TumorCell ProliferationColorectal NeoplasmsCytoskeletal ProteinsHumansPhosphorylationProtein Serine-Threonine KinasesRNA, Long NoncodingSerine-Arginine Splicing FactorsTransfectionAKAP9 protein, humanA Kinase Anchor ProteinsCytoskeletal ProteinsMALAT1 long non-coding RNA, humanProtein Serine-Threonine KinasesRNA, Long NoncodingSerine-Arginine Splicing FactorsSRPK1 protein, humanSRSF1 protein, humanAKAP-9colorectal cancerlong non-coding RNAMALAT-1SRSF1

Identifiers

PMID26887056
PMCPMC4905507
OpenAlexW2278011143

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.