Evidence map›Paper›PMID 38994618›Full record

ReviewCurrent cancer drug targets2025

Cuproptosis: Mechanism and Application in Lymphoma.

Yubo Wang, Fengyue Yin, Quanyi Jin, Chen Liu, Zhongquan Qi, Dengyue Chen, Yiming Luo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cancer drug targets, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

7 authors.

Yubo WangMedical College of Guangxi University, Da-Xue-Dong Road No.100, Nanning, Guangxi, 530004, P.R., China.
Fengyue YinMedical College of Guangxi University, Da-Xue-Dong Road No.100, Nanning, Guangxi, 530004, P.R., China.
Quanyi JinFujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, 361005, China, P. R. China.
Chen LiuFujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, 361005, China, P. R. China.
Zhongquan QiMedical College of Guangxi University, Da-Xue-Dong Road No.100, Nanning, Guangxi, 530004, P.R., China.
Dengyue ChenFujian Provincial Key Laboratory of Innovative Drug Target Research, School of Pharmaceutical Sciences, Xiamen University, Xiamen, 361005, China, P. R. China.
Yiming LuoDepartment of Hematology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, Fujian, China.

Funding

National Natural Science Foundation of China 81971505Natural Science Foundation of Fujian Province 2023J01122768
6 · The paper itself

Abstract

The cell death field has profited from the increasing attention of the scientific community and has been shown to lie at the very basis of cancer initiation and progression. Cuproptosis is a recently proposed method of cell death in 2022, and it is different from any previously reported method. The principle is that copper ions lead to aggregation and instability of intracellular proteins. An increasing number of researchers are dedicated to enriching the mechanism of cuproptosis and exploring its relationship with cancer. Studies have found that intracellular copper levels have an impact on the occurrence and development of lymphoma. The complexity of lymphoma and the limitations of treatment necessitate in-depth studies of the disease. We will review the mechanism of cuproptosis and its potential in lymphoma therapy.

Indexed as

CopperLymphomaAnimalsCell DeathHumansCoppercell deathcopper ions.copper metabolismCuproptosisdiffuse large B-cell lymphomalymphoma

Identifiers

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.