Evidence map›Paper›PMID 36597032›Full record

ArticleBMC bioinformatics2023

Comprehensive analysis of cuproptosis-related lncRNAs in immune infiltration and prognosis in hepatocellular carcinoma.

Chunhua Liu, Simin Wu, Liying Lai, Jinyu Liu, Zhaofu Guo, Zegen Ye, Xiang Chen

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 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
2.2field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Chunhua LiuRehabilitation Center, The Second Affiliated Hospital of Wenzhou Medical University, 108 Xueyuan West Road, Wenzhou, Zhejiang, China.
Simin WuRehabilitation Center, The Second Affiliated Hospital of Wenzhou Medical University, 108 Xueyuan West Road, Wenzhou, Zhejiang, China.
Liying LaiDepartment of Cancer Rehabilitation, Lishui Hospital of Traditional Chinese Medicine Affiliated to the Zhejiang University of Chinese Medicine, Lishui, Zhejiang, China.
Jinyu LiuDepartment of Cancer Rehabilitation, Lishui Hospital of Traditional Chinese Medicine Affiliated to the Zhejiang University of Chinese Medicine, Lishui, Zhejiang, China.
Zhaofu GuoDepartment of Cancer Rehabilitation, Lishui Hospital of Traditional Chinese Medicine Affiliated to the Zhejiang University of Chinese Medicine, Lishui, Zhejiang, China.
Zegen YeDepartment of Cancer Rehabilitation, Lishui Hospital of Traditional Chinese Medicine Affiliated to the Zhejiang University of Chinese Medicine, Lishui, Zhejiang, China.
Xiang ChenRehabilitation Center, The Second Affiliated Hospital of Wenzhou Medical University, 108 Xueyuan West Road, Wenzhou, Zhejiang, China. 516307535@qq.com.
Zhejiang University · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBeing among the most common malignancies worldwide, hepatocellular carcinoma (HCC) accounting for the third cause of cancer mortality. The regulation of cell death is the most crucial step in tumor progression and has become a crucial target for nearly all therapeutic options. Cuproptosis, a copper-induced cell death, was recently reported in Science. However, its primary function in carcinogenesis is still unclear.

methodsCuproptosis-related lncRNAs significantly associated with overall survival (OS) were screened by stepwise univariate Cox regression. The signature of cuproptosis-related lncRNAs for HCC prognosis was constructed by the LASSO algorithm and multivariate Cox regression. Further Kaplan-Meier analysis, proportional hazards model, and ROC analysis were performed. Functional annotation was performed using gene set enrichment analysis (GSEA). The relationship between prognostic cuproptosis-related lncRNAs and HCC prognosis was further explored by GEPIA( http://gepia.cancer-pku.cn/ ) online analysis tool. Finally, we used the ESTIMATE and XCELL algorithms to estimate stromal and immune cells in tumor tissue and cast each sample to infer the underlying mechanism of cuproptosis-related lncRNAs in the tumor immune microenvironment (TIME) of HCC patients.

resultsFour cuproptosis-related lncRNAs were used to construct a prognostic lncRNA signature, which was an independent factor in predicting OS in HCC patients. Kaplan-Meier curves showed significant differences in survival rates between risk subgroups (p = 0.002). At the same time, we found that the expression levels of most immune checkpoint genes increased with increasing risk scores. Tumorigenesis and immunological-related pathways were primarily enhanced in the high-risk group, as determined by GSEA. The results of drug sensitivity analysis showed that compared with patients in the high-risk group, the IC50 values of erlotinib and lapatinib were lower in patients in the low-risk group, while the opposite was true for sunitinib, paclitaxel, gemcitabine, and imatinib. We also found that elevated AL133243.2 expression was significantly associated with worse OS and disease-free survival (DFS), more advanced T stage and higher tumor grade, and reduced immune cell infiltration, suggesting that HCC patients with low AL133243.2 expression in tumor tissues may have a better response to immunotherapy.

conclusionCollectively, the cuproptosis-associated lncRNA signature can serve as an independent predictor to guide individual treatment strategies. Furthermore, AL133243.2 is a promising marker for predicting immunotherapy response in HCC patients. This data may facilitate further exploration of more effective immunotherapy strategies for HCC.

Indexed as

ApoptosisCarcinoma, HepatocellularLiver NeoplasmsRNA, Long NoncodingCarcinogenesisCopperHumansImmunotherapyTumor MicroenvironmentCopperRNA, Long NoncodingCuproptosis-related lncRNAsDrug therapyHepatocellular carcinomaImmune infiltrationTumor immune microenvironment

Identifiers

PMID36597032
PMCPMC9811804
OpenAlexW4313522041

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.