Evidence map›Paper›PMID 38078880›Full record

ArticleAging2023

Crosstalk of cuproptosis-related prognostic signature and competing endogenous RNAs regulation in hepatocellular carcinoma.

Jun Zhu, Jingyan Wang, Hong Liu, Tong Lei, Jiankang Yang, Sheng Lan, Haokun Jian, Hanlu Fang, Yu Zhang, Kuiwu Ren and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2023. 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
1.0field-weighted citation impact, top 20% of its field
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, 4 citations in OpenAlex.

  1. Article
  2. Review
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 at 10 institutions in 1 country.

Jun ZhuDepartment of Oncology, Guoyang County People’s Hospital, Guoyang Branch of Anhui Provincial Hospital, Guoyang 233607, Anhui, China.
Jingyan WangDepartment of Anesthesia, Shaoxing People’s Hospital, Shaoxing 312000, Zhejiang, China.
Hong LiuDepartment of Cardiovascular Medicine, Fuyang Hospital of Anhui Medical University, Fuyang 236000, Anhui, China.
Tong LeiThe First Affiliated Hospital, Nanchang University, Nanchang 330006, Jiangxi, China.
Jiankang YangDepartment of Cardiac Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui, China.
Sheng LanThe Second Clinical College of Guangzhou Medical University, Guangzhou 510030, Guangdong, China.
Haokun JianSchool of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, Henan, China.
Hanlu FangInstitute of Medical and Health Science, Hebei Medical University, Shijiazhuang 050017, Hebei, China.
Yu ZhangThe Second Clinical Medical College, Lanzhou University, Lanzhou 730000, Gansu, China.
Kuiwu RenDepartment of Hepatobiliary Surgery, Fuyang People’s Hospital, Fuyang 236000, Anhui, China.
Fei ZhongDepartment of Oncology, Fuyang Hospital of Anhui Medical University, Fuyang 236000, Anhui, China.
First Affiliated Hospital of Anhui Medical University · CNAnhui Medical University · CNAnhui Provincial Hospital · CNFirst Affiliated Hospital of Nanchang University · CNFuyang Second People's Hospital · CNGuangzhou Medical University · CNHebei Medical University · CNLanzhou University · CNShaoxing People's Hospital · CNXinxiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCuproptosis is a new type of programmed cell death involved in the regulation of neuroendocrine tumors, immune microenvironment, and substance metabolism. However, the role of cuproptosis-related genes (CRGs) in Hepatocellular carcinoma (HCC) remains unclear.

methodThrough multiple bioinformatics analysis, we constructed a prognostic gene model and competing endogenous RNA (ceRNA) network. The correlation between CRGs and prognosis, immune infiltration, immune checkpoints, microsatellite instability (MSI) and tumor mutational burden (TMB) was analyzed by Kaplan-Meier curve, univariate Cox, multivariate regression, and Spearman's analysis in HCC patients. Besides, the qRT-PCR and immunohistochemistry assays were used to determine prognostic CRGs mRNA and protein expression in HCC.

resultsWe established a novel 3-gene signature related to CRGs for evaluating the prognosis of HCC patients. HCC patients with high risk scores had a poor prognosis with an area under the curve of 0.737, 0.646, and 0.634 on 1-year, 3-year, and 5-year receiver operating characteristic curves. Significant correlation was observed between prognostic CRGs and immune infiltration, immune checkpoints, MSI and TMB. We also developed five ceRNA networks to regulate the occurrence and progression of HCC. CDKN2A, DLAT, and PDHA1 protein expression was up-regulated in HCC versus normal tissues. Besides, the mRNA expression levels of CDKN2A, DLAT, GLS, and PDHA1 were elevated in the HCC cell lines compared to the normal liver cell lines.

conclusionsThis novel prognostic CRGs signature could be accurately predict the prognosis of patients with HCC. The ceRNA regulatory network might be potential prognostic biomarkers and therapeutic targets for HCC patients.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsApoptosisCopperCyclin-Dependent Kinase Inhibitor ProteinsHumansMicrosatellite InstabilityPrognosisRNARNA, Competitive EndogenousRNA, MessengerTumor MicroenvironmentCopperCyclin-Dependent Kinase Inhibitor ProteinsRNARNA, Competitive EndogenousRNA, Messengercuproptosishepatocellular carcinomaimmune microenvironmentmetabolismsignature

Identifiers

PMID38078880
PMCPMC10756090
OpenAlexW4389521927

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.