Evidence map›Paper›PMID 37392200›Full record

ArticleJournal of cancer research and clinical oncology2023

Development and validation of cuproptosis molecular subtype-related signature for predicting immune prognostic characterization in gliomas.

Hao Huang, Zhonghua Lv, Longkun Yang, Xing Zhang, Ying Deng, Zhicong Huang, Haoran Bi, Xizhuo Sun, Ming Zhang, Dongsheng Hu and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 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
0.6field-weighted citation impact, top 27% 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, 2 citations in OpenAlex.

  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

12 authors at 6 institutions in 1 country.

Hao Huang *Department of Epidemiology and Health Statistics, Shenzhen University Medical School, Shenzhen, 518060, Guangdong Province, People's Republic of China.
Zhonghua Lv *Department of Neurosurgery, Third Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Longkun YangDepartment of Epidemiology and Biostatistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, Fujian Province, People's Republic of China.
Xing ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, Fujian Province, People's Republic of China.
Ying DengDepartment of Epidemiology and Biostatistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, Fujian Province, People's Republic of China.
Zhicong HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Fujian Medical University, Fuzhou, 350122, Fujian Province, People's Republic of China.
Haoran BiDepartment of Biostatistics, Xuzhou Medical University, Xuzhou, 221004, Jiangsu Province, People's Republic of China.
Xizhuo SunDepartment of General Practice, The Affiliated Luohu Hospital of Shenzhen University Medical School, Shenzhen, 518020, Guangdong Province, People's Republic of China.
Ming ZhangDepartment of Epidemiology and Health Statistics, Shenzhen University Medical School, Shenzhen, 518060, Guangdong Province, People's Republic of China.
Dongsheng HuDepartment of Epidemiology and Health Statistics, Shenzhen University Medical School, Shenzhen, 518060, Guangdong Province, People's Republic of China.
Hongsheng LiangDepartment of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang Province, People's Republic of China. Lianghongsheng11@163.com.
Fulan HuDepartment of Epidemiology and Health Statistics, Shenzhen University Medical School, Shenzhen, 518060, Guangdong Province, People's Republic of China. hufu1525@163.com.
Fujian Medical University · CNShenzhen University · CNShenzhen Luohu People's Hospital · CNHarbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CNXuzhou Medical College · CN

Funding

National Natural Science Foundation of China 81773531Natural Science Foundation of Guangdong Province 2021A1515012505
6 · The paper itself

Abstract

purposeCuproptosis, a novel programmed cell death, plays an important role in glioma growth, angiogenesis, and immune response. Nonetheless, the role of cuproptosis-related genes (CRGs) in the prognosis and tumor microenvironment (TME) of gliomas remains unknown.

methodsBy non-negative matrix factorization consensus clustering, 1286 glioma patients were classified based on the mRNA expression levels of 27 CRGs and investigated the association of immune infiltration and clinical characteristics with cuproptosis subtypes. A CRG-score system was constructed using LASSO and multivariate Cox regression methods and validated in independent cohorts to predict the prognosis of glioma patients.

resultsGlioma patients were divided into two cuproptosis subtypes. Cluster C2 was enriched in immune-related pathways, had higher macrophage M2, neutrophils, and CD8 + T cells, and poorer prognosis compared with cluster C1 which was enriched in metabolism-related pathways. We further constructed and validated the ten-gene CRG risk scores. Glioma patients in the high CRG-score group had higher tumor mutation burden, higher TME scores, and poorer prognoses compared with the low CRG-score group. Additionally, the AUC value of the CRG-score was 0.778 in predicting the prognosis of gliomas. WHO grading, IDH mutation, 1p/19q codeletion, and MGMT methylation were significant differences between high and low CRG-score groups.

conclusionThis study demonstrated that CRG-score was related to immune cell infiltration and could accurately predict gliomas' prognosis. Our findings may provide a novel understanding of the potential role of cuproptosis molecular pattern and TME in the immune response and prognosis of glioma patients.

Indexed as

AlgorithmsGliomaApoptosisCD8-Positive T-LymphocytesHumansPrognosisTumor MicroenvironmentClassificationCuproptosisGliomasPrognosisTumor microenvironment

Identifiers

PMID37392200
PMCPMC11796944
OpenAlexW4382796773

What OpenQuestion holds

Textmetadata
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.