Evidence map›Paper›PMID 39254804›Full record

ArticleDiscover oncology2024

LINC00461 promotes bladder cancer cells EMT through miR-518b/HNRNPUL1 axis.

Yijie Zhou, Keyuan Zhao, Junlong Li, Chao Peng, Jing Jin, Jiajun Chen, Yulei Li, Gang Xu, Shouhua Pan

Abstract read
In one paragraph

Article in Discover oncology, 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

9 authors.

Yijie Zhou *Department of Urology, Shaoxing People's Hospital, Shaoxing, 312000, Zhejiang, China.
Keyuan Zhao *Department of Urology, Shaoxing People's Hospital, Shaoxing, 312000, Zhejiang, China.
Junlong LiDepartment of Urology, Shaoxing People's Hospital, Shaoxing, 312000, Zhejiang, China.
Chao PengDepartment of Urology, Shaoxing People's Hospital, Shaoxing, 312000, Zhejiang, China.
Jing JinDepartment of Urology, Shaoxing People's Hospital, Shaoxing, 312000, Zhejiang, China.
Jiajun ChenDepartment of Urology, Shaoxing People's Hospital, Shaoxing, 312000, Zhejiang, China.
Yulei LiDepartment of Urology, Shaoxing People's Hospital, Shaoxing, 312000, Zhejiang, China.
Gang XuDepartment of Urology, Shaoxing People's Hospital, Shaoxing, 312000, Zhejiang, China. shxdxy@163.com.
Shouhua PanDepartment of Urology, Shaoxing People's Hospital, Shaoxing, 312000, Zhejiang, China. 13606550587@163.com.

Funding

Zhejiang Province Traditional Chinese Medicine Science and Technology Plan Project 2024ZL1135Zhejiang Provincial Medicine, Health, and Science and Technology Project 2022KY1297Zhejiang Provincial Medicine, Health, and Science and Technology Project 2023KY1253
6 · The paper itself

Abstract

Bladder cancer (BC) is a prevalent type of tumor in the urinary system, and it has been discovered that long non-coding RNA (lncRNA) plays a significant role in its occurrence and development. However, thus far, no reports have been published on the involvement of LINC00461 in BC. Here, we found that LINC00461 levels were upregulated in BC tissues and cell lines. Besides, knockdown of LINC00461 inhibited BC cell proliferation, migration, invasion through epithelial-mesenchymal transition (EMT), and slowed down tumor growth in vivo. Moreover, we found that LINC00461 regulated HNRNPUL1 expression through miR-518b sponge activity, and the miR-518 inhibitor could reverse the inhibitory effects of LINC00461 knockdown on BC cell proliferation, migration, and EMT. Our results suggest that LINC00461 may serve as a potential biomarker and therapeutic target for BC.

Indexed as

EMTHNRNPUL1LINC00461MiR-518b

Identifiers

PMID39254804
PMCPMC11387575

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.