Evidence map›Paper›PMID 40292095›Full record

ArticlePeerJ2025

Long non-coding RNA CYTOR promotes the progression of melanoma

Haitao Lu, Yunhua Zhao, Yanli Zhang, Shaomin Shi, Huanrong Hu, Xuefei Li, Yandong Niu, Haihua Qi, Shang Ji, Xinsuo Duan and 1 more

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Haitao LuDepartment of Dermatology, The Third Hospital of Hebei Medical University, Hebei, Shijiazhuang, China.
Yunhua ZhaoDepartment of Otolaryngology, Chengde Central Hospital, Hebei, Chengde, China.
Yanli ZhangDepartment of Dermatology, The Third Hospital of Hebei Medical University, Hebei, Shijiazhuang, China.
Shaomin ShiDepartment of Dermatology, The Third Hospital of Hebei Medical University, Hebei, Shijiazhuang, China.
Huanrong HuDepartment of Dermatology, The Third Hospital of Hebei Medical University, Hebei, Shijiazhuang, China.
Xuefei LiDepartment of Dermatology, The Affiliated Hospital of Chengde Medical University, Hebei, Chengde, China.
Yandong NiuDepartment of Dermatology, The Affiliated Hospital of Chengde Medical University, Hebei, Chengde, China.
Haihua QiDepartment of Dermatology, The Affiliated Hospital of Chengde Medical University, Hebei, Chengde, China.
Shang JiDepartment of Dermatology, The Third Hospital of Hebei Medical University, Hebei, Shijiazhuang, China.
Xinsuo DuanDepartment of Dermatology, The Affiliated Hospital of Chengde Medical University, Hebei, Chengde, China.
Yaling LiuDepartment of Dermatology, The Third Hospital of Hebei Medical University, Hebei, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recent research has underscored the critical role of long non-coding RNAs (lncRNAs) in tumorigenesis and malignancy development. Nevertheless, the role of lncRNA cytoskeleton regulator RNA (CYTOR) in the progression of melanoma remains only partially elucidated. This research seeks to explore the impact of CYTOR on melanoma development and to elucidate the molecular mechanisms involved. Methods: Results: Our investigation identified a marked increase in CYTOR expression levels in both melanoma tissues and cells. Experiments conducted both

Indexed as

MelanomaMicroRNAsRNA, Long NoncodingAnimalsCell Line, TumorCell MovementCell ProliferationDisease ProgressionGene Expression Regulation, NeoplasticHumansMiceMice, NudeNeoplasm InvasivenessMicroRNAsMIRN485 microRNA, humanRNA, Long NoncodingCYTORGPIMelanomamiR-485-5p

Identifiers

PMID40292095
PMCPMC12024439

What OpenQuestion holds

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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.