Evidence map›Paper›PMID 40305510›Full record

ArticlePloS one2025

Identification and functional analysis of five hub lncRNAs associated with oncogenesis of Hepatocellular Carcinoma.

Zhaomin Deng, Lu Pu, Yongxin Ma, Hao Jiang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Zhaomin DengLaboratory for Aging and Cancer Research, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Lu PuLaboratory for Aging and Cancer Research, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Yongxin MaDepartment of Medical Genetics, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Hao JiangLaboratory for Aging and Cancer Research, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.ORCID 0009-0008-2736-5604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cancer stands as one of the most pervasive and aggressive malignant neoplasms on a global scale, with hepatocellular carcinoma (HCC) accounting for over 90% of primary liver cancer cases. It has been documented that long non-coding RNA (lncRNA) plays a significant role in various pathological contexts and serves as a pivotal determinant in numerous malignancies, including HCC. Leveraging mRNA sequencing data and lncRNA expression profiles from 346 HCC samples and 50 pairs of adjacent normal samples sourced from the TCGA database, a comprehensive bioinformatics analysis was conducted. The dataset was randomly partitioned into a training subset and a validation subset. This rigorous analysis aimed to pinpoint the lncRNAs intricately linked to the oncogenesis of HCC, unveiling distinct expression patterns of these lncRNAs between normal liver and HCC samples across different stages. Moreover, the construction of a lncRNA-mRNA co-expression network led to the identification of five central lncRNA hubs (AC091057, AC099850, AC012073, DDX11-AS1, and AL035461). Subsequently, these five lncRNAs were validated using the independent validation set. In summary, this investigation successfully discerned five lncRNAs closely associated with the oncogenesis of HCC, thereby shedding light on their potential utility as diagnostic or therapeutic targets for this formidable disease.

Indexed as

CarcinogenesisCarcinoma, HepatocellularLiver NeoplasmsRNA, Long NoncodingComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleRNA, MessengerRNA, Long NoncodingRNA, Messenger

Identifiers

PMID40305510
PMCPMC12043124

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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.