Evidence map›Paper›PMID 41169526›Full record

ArticleJournal of translational internal medicine2025

Comprehensive investigation of cuproptosis-related genes in clinical features, biological characteristics, and immune microenvironment in B-cell Non-Hodgkin lymphoma.

Chengcheng Liu, Ruonan Shao, Xiaoqing Li, Yiran Li, Zhi Tian, Fenling Zhou, Lu Chen, Jiajun Liu, Boyang Chang, Wenjian Liu and 1 more

Abstract read
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Article in Journal of translational internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Chengcheng LiuDepartment of Hematology, The Third Affiliated Hospital of Sun Yat-Sen University; Sun Yat-Sen Institute of Hematology, Guangzhou, Guangdong Province, China.
Ruonan ShaoState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong Province, China.
Xiaoqing LiDepartment of Hematology, The Third Affiliated Hospital of Sun Yat-Sen University; Sun Yat-Sen Institute of Hematology, Guangzhou, Guangdong Province, China.
Yiran LiDepartment of Hematology, The Third Affiliated Hospital of Sun Yat-Sen University; Sun Yat-Sen Institute of Hematology, Guangzhou, Guangdong Province, China.
Zhi TianTaneja College of Pharmacy, University of South Florida, Tampa, FL, USA.
Fenling ZhouDepartment of Hematology, The Third Affiliated Hospital of Sun Yat-Sen University; Sun Yat-Sen Institute of Hematology, Guangzhou, Guangdong Province, China.
Lu ChenDepartment of Hematology, The Third Affiliated Hospital of Sun Yat-Sen University; Sun Yat-Sen Institute of Hematology, Guangzhou, Guangdong Province, China.
Jiajun LiuDepartment of Hematology, The Third Affiliated Hospital of Sun Yat-Sen University; Sun Yat-Sen Institute of Hematology, Guangzhou, Guangdong Province, China.
Boyang ChangDepartment of Interventional Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China.
Wenjian LiuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong Province, China.ORCID https://orcid.org/0000-0002-3206-782X
Hailin TangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Despite the discovery of cuproptosis as a new type of cell death, less is known about the role cuproptosis-related genes (CRGs) may play in B-cell Non-Hodgkin Lymphoma (NHL). There remained a lack of knowledge regarding the clinical and biological roles of CRG signatures and the therapeutic value of the potent copper ionophore (elesclomol) in B-cell NHL. In this study, the purpose is to investigate the prognostic value of CRGs and their relationship to the tumor immune microenvironment, as well as the mechanism of cuproptosis in B-cell NHL. Methods: B-cell NHL patients' clinical and gene expression data were retrieved from Gene Expression Omnibus (GEO). Our prognostic model was developed using least absolute shrinkage and selection operator (LASSO) regression analysis and univariate Cox analysis. Prediction accuracy of the model was estimated by receiver operating characteristic (ROC) curves. Functional pathway enrichments and immune features were also analyzed. Vitro experiments were conducted to investigate the combination therapy of elesclomol and doxorubicin, and to explore the application value in B-cell NHL. Results: Seven CRGs were strongly associated with patient survival and 4 genes were identified to construct the prognostic model. ROC curves indicated great predictive sensitivity and specificity of the model in all cohorts. Patients were divided into low-and high-risk groups by median risk score in each cohort and the survival of the low-risk group was significantly superior than that of the high-risk group. Correlations with clinical features showed that higher Risk-Score was significantly associated with advanced Ann Arbor stages, which were further confirmed in two validation cohorts. We also observed a close relationship between functional pathways and immune features with risk scores. Moreover, we combined elesclomol and doxorubicin in our Conclusions: We demonstrated the important value of CRG signatures in prognosis of B-cell NHL patients, and that may be a potential antitumor target for B-cell NHL.

Indexed as

cuproptosiselesclomolimmune microenvironmentlymphomatarget therapy

Identifiers

PMID41169526
PMCPMC12569579

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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.