Evidence map›Paper›PMID 36672493›Full record

ArticleCancers2023

Revealing Prognostic and Immunotherapy-Sensitive Characteristics of a Novel Cuproptosis-Related LncRNA Model in Hepatocellular Carcinoma Patients by Genomic Analysis.

Zhenzhen Mao, Ye Nie, Weili Jia, Yanfang Wang, Jianhui Li, Tianchen Zhang, Xinjun Lei, Wen Shi, Wenjie Song, Xiao Zhang

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
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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

10 authors.

Zhenzhen MaoXi'an Medical University, Xi'an 710021, China.ORCID 0000-0002-9788-533X
Ye NieDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
Weili JiaXi'an Medical University, Xi'an 710021, China.ORCID 0000-0001-5045-8835
Yanfang WangXi'an Medical University, Xi'an 710021, China.
Jianhui LiXi'an Medical University, Xi'an 710021, China.ORCID 0000-0002-7946-0768
Tianchen ZhangXi'an Medical University, Xi'an 710021, China.
Xinjun LeiXi'an Medical University, Xi'an 710021, China.
Wen ShiXi'an Medical University, Xi'an 710021, China.
Wenjie SongDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
Xiao ZhangThe State Key Laboratory of Cancer Biology, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an 710032, China.ORCID 0000-0001-7842-9489

Funding

National Natural Science Foundation of China No. 81903149Natural Science Basic Research Project of Shaanxi Province, China No. 2021SF-058Shaanxi Province "High-level Talents Special Support Program" project (Wenjie Song) and the Medical and Health science and technology Foundation of Sanya No. 2019YW19
6 · The paper itself

Abstract

Immunotherapy has shown strong anti-tumor activity in a subset of patients. However, many patients do not benefit from the treatment, and there is no effective method to identify sensitive immunotherapy patients. Cuproptosis as a non-apoptotic programmed cell death caused by excess copper, whether it is related to tumor immunity has attracted our attention. In the study, we constructed the prognostic model of 9 cuproptosis-related LncRNAs (crLncRNAs) and assessed its predictive capability, preliminarily explored the potential mechanism causing treatment sensitivity difference between the high-/low-risk group. Our results revealed that the risk score was more effective than traditional clinical features in predicting the survival of HCC patients (AUC = 0.828). The low-risk group had more infiltration of immune cells (B cells, CD8+ T cells, CD4+ T cells), mainly with anti-tumor immune function (p < 0.05). It showed higher sensitivity to immune checkpoint inhibitors (ICIs) treatment (p < 0.001) which may exert the effect through the AL365361.1/hsa-miR-17-5p/NLRP3 axis. In addition, NLRP3 mutation-sensitive drugs (VNLG/124, sunitinib, linifanib) may have better clinical benefits in the high-risk group. All in all, the crLncRNAs model has excellent specificity and sensitivity, which can be used for classifying the therapy-sensitive population and predicting the prognosis of HCC patients.

Indexed as

AL365361.1cuproptosis-related LncRNAs (crLncRNAs)immune checkpoint inhibitors (ICIs)immunotherapytumor immune microenvironment (TIME)

Identifiers

PMID36672493
PMCPMC9857215

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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.