Evidence map›Paper›PMID 38720397›Full record

ArticleBiological research2024

Novel role of LLGL2 silencing in autophagy: reversing epithelial-mesenchymal transition in prostate cancer.

Geum-Lan Hong, Kyung-Hyun Kim, Yae-Ji Kim, Hui-Ju Lee, Sung-Pil Cho, Seung-Yun Han, Seung Woo Yang, Jong-Soo Lee, Shin-Kwang Kang, Jae-Sung Lim and 1 more

Abstract read
In one paragraph

Article in Biological research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

11 authors.

Geum-Lan Hong *Department of Veterinary Medicine, Institute of Veterinary Science, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Yusung-gu, Daejeon, 34134, Republic of Korea.
Kyung-Hyun Kim *Department of Veterinary Medicine, Institute of Veterinary Science, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Yusung-gu, Daejeon, 34134, Republic of Korea.
Yae-Ji KimDepartment of Veterinary Medicine, Institute of Veterinary Science, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Yusung-gu, Daejeon, 34134, Republic of Korea.
Hui-Ju LeeDepartment of Veterinary Medicine, Institute of Veterinary Science, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Yusung-gu, Daejeon, 34134, Republic of Korea.
Sung-Pil ChoDepartment of Veterinary Medicine, Institute of Veterinary Science, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Yusung-gu, Daejeon, 34134, Republic of Korea.
Seung-Yun HanDepartment of Anatomy, College of Medicine, Konyang University, Daejeon, 35365, Republic of Korea.
Seung Woo YangDepartment of Urology, College of Medicine, Chungnam National University Hospital, Daejeon, 35015, Republic of Korea.
Jong-Soo LeeDepartment of Veterinary Medicine, Institute of Veterinary Science, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Yusung-gu, Daejeon, 34134, Republic of Korea.
Shin-Kwang KangDepartment of Thoracic and Cardiovascular Surgery, College of Medicine, Chungnam National University Hospital, Daejeon, 35015, Republic of Korea.
Jae-Sung LimDepartment of Urology, College of Medicine, Chungnam National University Hospital, Daejeon, 35015, Republic of Korea.
Ju-Young JungDepartment of Veterinary Medicine, Institute of Veterinary Science, College of Veterinary Medicine, Chungnam National University, 99 Daehak-ro, Yusung-gu, Daejeon, 34134, Republic of Korea. jyjung@cnu.ac.kr.ORCID https://orcid.org/0000-0002-6355-5738

Funding

Ministry of Science and ICT, South Korea 2020R1A2C1014324Ministry of Science and ICT, South Korea 2021R1A6A1A03045495Ministry of Science and ICT, South Korea RS-2023-00246985
6 · The paper itself

Abstract

purposeProstate cancer (PCa) is a major urological disease that is associated with significant morbidity and mortality in men. LLGL2 is the mammalian homolog of Lgl. It acts as a tumor suppressor in breast and hepatic cancer. However, the role of LLGL2 and the underlying mechanisms in PCa have not yet been elucidated. Here, we investigate the role of LLGL2 in the regulation of epithelial-mesenchymal transition (EMT) in PCa through autophagy in vitro and in vivo.

methodsPC3 cells were transfected with siLLGL2 or plasmid LLGL2 and autophagy was examined. Invasion, migration, and wound healing were assessed in PC3 cells under autophagy regulation. Tumor growth was evaluated using a shLLGL2 xenograft mouse model.

resultsIn patients with PCa, LLGL2 levels were higher with defective autophagy and increased EMT. Our results showed that the knockdown of LLGL2 induced autophagy flux by upregulating Vps34 and ATG14L. LLGL2 knockdown inhibits EMT by upregulating E-cadherin and downregulating fibronectin and α-SMA. The pharmacological activation of autophagy by rapamycin suppressed EMT, and these effects were reversed by 3-methyladenine treatment. Interestingly, in a shLLGL2 xenograft mouse model, tumor size and EMT were decreased, which were improved by autophagy induction and worsened by autophagy inhibition.

conclusionDefective expression of LLGL2 leads to attenuation of EMT due to the upregulation of autophagy flux in PCa. Our results suggest that LLGL2 is a novel target for alleviating PCa via the regulation of autophagy.

Indexed as

AutophagyEpithelial-Mesenchymal TransitionProstatic NeoplasmsAnimalsCell Line, TumorCell MovementCytoskeletal ProteinsGene SilencingHumansMaleMiceMice, NudeTumor Suppressor ProteinsCytoskeletal Proteinsllgl2 protein, humanTumor Suppressor ProteinsAutophagyEMTLLGL2ProliferationProstate cancer

Identifiers

PMID38720397
PMCPMC11077766

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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.