Evidence map›Paper›PMID 38581529›Full record

ArticleApoptosis : an international journal on programmed cell death2024

DLD is a potential therapeutic target for COVID-19 infection in diffuse large B-cell lymphoma patients.

Can Chen, Dandan Kang, Zhenzhen Chen, Pengfei Shi, Yun Li, Shenxian Qian

Open access · hybridAbstract read
In one paragraph

Article in Apoptosis : an international journal on programmed cell death, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

6 authors at 3 institutions in 2 countries.

Can ChenDepartment of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
Dandan KangSchool of Medicine, Zhejiang University, Hangzhou, China.
Zhenzhen ChenDepartment of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
Pengfei ShiDepartment of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
Yun LiTeam of neonatal & infant development, health and nutrition, NDHN. School of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China. liyunez@163.com.
Shenxian QianDepartment of Hematology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China. sxqian1028@zju.edu.cn.
Zhejiang University · CNHangzhou First People's Hospital · CNWuhan Polytechnic University · CN

Funding

Hangzhou Medical health science and technology Major Project Z20210039Hangzhou science and technology Major Project with Grant Number 202004A15Zhejiang Province Traditional Chinese medicine science and technology project 2023ZR122
6 · The paper itself

Abstract

Since the discovery of copper induces cell death(cuprotosis) in 2022, it has been one of the biggest research hotspots. cuprotosis related genes (CRGs) has been demonstrated to be a potential therapeutic target for cancer, however, the molecular mechanism of CRGs in coronavirus disease 2019 (COVID-19) infected in DLBCL patients has not been reported yet. Therefore, our research objective is first to elucidate the mechanism and role of CRGs in COVID-19. Secondly, we conducted univariate and multivariate analysis and machine learning to screen for CRGs with common expression differences in COVID-19 and DLBCL. Finally, the functional role and immune mechanism of genes in DLBCL were confirmed through cell experiments and immune analysis. The research results show that CRGs play an important role in the occurrence and development of COVID-19. Univariate analysis and machine learning confirm that dihydrolipoamide dehydrogenase (DLD) is the common key gene of COVID-19 and DLBCL. Inhibiting the expression of DLD can significantly inhibit the cycle progression and promote cell apoptosis of DLBCL cells and can target positive regulation of Lysine-specific demethylase 1 (LSD1, also known as KDM1A) to inhibit the proliferation of DLBCL cells and promote cell apoptosis. The immune analysis results show that high-expression of DLD may reduce T cell-mediated anti-tumor immunity by regulating immune infiltration of CD8 + T cells and positively regulating immune checkpoints LAG3 and CD276. Reducing the expression of DLD can effectively enhance T cell-mediated anti-tumor immunity, thereby clearing cancer cells and preventing cancer growth. In conclusion, DLD may be a potential therapeutic target for COVID-19 infection in DLBCL patients. Our research provides a theoretical basis for improving the clinical treatment of COVID-19 infection in DLBCL.

Indexed as

ApoptosisCOVID-19Lymphoma, Large B-Cell, DiffuseSARS-CoV-2Cell Line, TumorGene Expression Regulation, NeoplasticHumansMachine LearningBiomarkerCD8 + T cellsDLBCLDLDKDM1A

Identifiers

PMID38581529
PMCPMC11416400
OpenAlexW4394009953

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.