Evidence map›Paper›PMID 31286138›Full record

ArticleJournal of the National Cancer Institute2020

The Role of APAL/ST8SIA6-AS1 lncRNA in PLK1 Activation and Mitotic Catastrophe of Tumor Cells.

Man-Li Luo, Jingjing Li, Liping Shen, Junjun Chu, Qiannan Guo, Guorun Liang, Wei Wu, Jianing Chen, Rufu Chen, Erwei Song

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

42 citing papers in PubMed, 56 citations in OpenAlex.

  1. Review
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  7. AKT1Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  15. ST8SIA6-AS1, a novel lncRNA star in liver cancer.Frontiers in cell and developmental biology · 2024
    Review
  16. Targeting ST8SIA6-AS1 counteracts KRASExperimental hematology & oncology · 2023
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Man-Li LuoGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China.
Jingjing LiGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China.
Liping ShenGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China.
Junjun ChuGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China.
Qiannan GuoGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China.
Guorun LiangGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China.
Wei WuGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China.
Jianing ChenGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China.
Rufu ChenGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China.
Erwei SongGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou, China.
Key Laboratory of Guangdong Province · CNChinese Academy of Sciences · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor growth can be addicted to vital oncogenes, but whether long noncoding RNAs (lncRNAs) are essential to cancer survival is largely uncharacterized.

methodsWe retrieved Gene Expression Omnibus datasets to identify lncRNA overexpression in 257 cancers vs 196 normal tissues and analyzed the association of ST8SIA6-AS1 (termed Aurora A/Polo-like-kinase 1 [PLK1]-associated lncRNA, APAL) with the clinical outcomes of multiple types of cancer from public RNA sequencing and microarray datasets as well as from in-house cancer cohorts. Loss- and gain-of-function experiments were performed to explore the role of APAL in cancers in vitro and in vivo. RNA pulldown and RNA immunoprecipitation were used to investigate APAL-interacting proteins. All statistical tests were two-sided.

resultsAPAL is overexpressed in multiple human cancers associated with poor clinical outcome of patients. APAL knockdown causes mitotic catastrophe and massive apoptosis in human breast, lung, and pancreatic cancer cells. Overexpressing APAL accelerates cancer cell cycle progression, promotes proliferation, and inhibits chemotherapy-induced apoptosis. Mechanism studies show that APAL links up PLK1 and Aurora A to enhance Aurora A-mediated PLK1 phosphorylation. Notably, targeting APAL inhibits the growth of breast and lung cancer xenografts in vivo (MCF-7 xenografts: mean tumor weight, control = 0.18 g [SD = 0.03] vs APAL locked nucleic acids = 0.07 g [SD = 0.02], P < .001, n = 8 mice per group; A549 xenografts: mean tumor weight control = 0.36 g [SD = 0.10] vs APAL locked nucleic acids = 0.10 g [SD = 0.04], P < .001, n = 9 mice per group) and the survival of patient-derived breast cancer organoids in three-dimensional cultures.

conclusionsOur data highlight the essential role of lncRNA in cancer cell survival and the potential of APAL as an attractive therapeutic target for a broad-spectrum of cancers.

Indexed as

A549 CellsAnimalsAurora Kinase ACell Cycle ProteinsHeterograftsHumansMCF-7 CellsMiceMice, NudeMitosisNeoplasmsPolo-Like Kinase 1Protein Serine-Threonine KinasesProto-Oncogene ProteinsRNA, AntisenseRNA, Long NoncodingAURKA protein, humanAurora Kinase ACell Cycle ProteinsPolo-Like Kinase 1Protein Serine-Threonine KinasesProto-Oncogene ProteinsRNA, AntisenseRNA, Long NoncodingSialyltransferasesST8SIA6 protein, human

Identifiers

PMID31286138
PMCPMC7156940
OpenAlexW2957560322

What OpenQuestion holds

Textmetadata
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.