Evidence map›Paper›PMID 41454619›Full record

ArticleCancer medicine2026

A Novel MPT-Driven Necrosis-Related lncRNA Signature for Prognostic Prediction in Hepatocellular Carcinoma: Validation Using Organoids.

Yang Liu, Liye Tao, Zefeng Shen, Junhao Zheng, Yali Wang, Meijie Chen, Yangyang Xie, Hongjun Chen, Jingwei Cai, Haoyu Pan and 4 more

Abstract read
In one paragraph

Article in Cancer medicine, 2026. 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. Review
  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

14 authors.

Yang LiuKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0009-0004-2459-3557
Liye TaoKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zefeng ShenKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Junhao ZhengKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yali WangKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Meijie ChenHangzhou Medical College, Hangzhou, China.
Yangyang XieKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hongjun ChenKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jingwei CaiKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Haoyu PanKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Shihao LiKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Renan JinKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Junjie XuKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiao LiangKey Laboratory of Laparoscopic Technology of Zhejiang Province, Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0002-9423-9201

Funding

The Key Project in the Agricultural and Social Development Sector of the Science and Technology Bureau of Hangzhou 20231203A09The Major project of Health Science and Technology Program of Zhejiang Province WKJ-ZJ-2407The National Natural Science Foundation of China 82072625The Zhejiang Provincial Department of Science and Technology 2024C03049
6 · The paper itself

Abstract

backgroundMitochondrial permeability transition (MPT)-driven necrosis, a recently identified form of programmed cell death, significantly influences tumor progression, therapy response, and prognosis. However, research on mitochondrial permeability transition-driven necrosis-related long non-coding ribonucleic acids (MPTDNRlncRNAs) in hepatocellular carcinoma (HCC) remains limited.

methodsIn the current study, we aimed to construct an MPTDNRlncRNA signature to predict survival and classify patients with HCC. RNA sequencing and clinical data were sourced from the Cancer Genome Atlas database, while MPT-driven necrosis-linked genes were obtained from the Gene Set Enrichment Analysis database. We identified MPTDNRlncRNAs in HCC tumor tissues and deployed the least absolute shrinkage and selection operator-Cox analysis to construct a predictive lncRNA signature. Immune cell infiltration variations were analyzed between high- and low-risk subgroups. The MPTDNRlncRNA signature performance was estimated using statistical methodologies, and bioinformatics methods were utilized to investigate functional and pathway differences across risk groups.

resultsA seven-lncRNA signature specific to HCC was developed, and its predictive accuracy was systematically evaluated using survival analysis, time-dependent receiver operating characteristic curves, and Cox regression analyses. Correlation analysis demonstrated a strong association between the lncRNA signature and immune cell infiltration, several immune checkpoint targets, and its significant prognostic value for patients with HCC. Additionally, LINC02313 was recognized as a hub lncRNA in vitro, demonstrating its role in promoting cell proliferation and tumor metastasis. Finally, we validated the function of LINC02313 using a liver cancer organoid model.

conclusionThe effective construction of an MPT-driven necrosis-related prognostic model highlights its potential to independently predict the prognosis of patients with HCC. These findings not only deepen our understanding of MPT-driven necrosis but also offer novel theoretical foundations for developing more effective treatment strategies. The gene LINC02313 has been identified as a promoter of HCC's ability to proliferate and invade, underscoring its potential as a therapeutic target for HCC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsRNA, Long NoncodingFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNecrosisOrganoidsPrognosisBiomarkers, TumorRNA, Long NoncodingHCClncRNAsMPT‐driven necrosisorganoidprognostic signature

Identifiers

PMID41454619
PMCPMC12743202

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.