Evidence map›Paper›PMID 40492153›Full record

ArticleMaterials today. Bio2025

CD20 targeted nanomedicine for GCB-diffuse large B-cell lymphoma through synergistic effects of apoptosis and ferroptosis.

Shu-Xian Liu, Jun-Yu Zhang, Xiao-Yan Zheng, Yong-Zhong Du, Xiang-Min Tong

Abstract read
In one paragraph

Article in Materials today. Bio, 2025. 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
–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

2 citing papers in PubMed.

  1. Article
  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

5 authors.

Shu-Xian LiuKey Laboratory of Elemene Class Anti-Cancer Chinese Medicines, School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Jun-Yu ZhangThe Fifth Affiliated Hospital of Wenzhou Medical University, Lishui Central Hospital, Lishui Hospital of Zhejiang University, Lishui, 323000, Zhejiang Province, China.
Xiao-Yan ZhengThe Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, 324000, China.
Yong-Zhong DuInstitute of Pharmaceutics College of Pharmaceutical Sciences, Zhejiang University, 866 Yu-Hang-Tang Road, Hangzhou, 310058, China.
Xiang-Min TongDepartment of Hematology, The Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, 310006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL) is one of the most prevalent lymphomas, and can be classified as activated B-cell DLBCL (ABC-DLBCL) or germinal center B-cell DLBCL (GCB-DLBCL) according to molecular subtypes. Studies have shown that drug resistance is an important factor in its therapeutic failure. Tumor-specific drug delivery nanocarriers may be a promising strategy for the treatment of lymphoma. Herein, we developed a nanomedicine (RTX-DOX/DMF-Lip, RDDL) carrying the chemotherapeutic drugs doxorubicin (DOX) and dimethyl fumarate (DMF), and surface-modified with rituximab (RTX), which can recognize CD20 antigen when it comes into contact with the surface of a B-lymphoma cell. In the study, we found that DOX and DMF can be delivered to the tumor site precisely and demonstrate a potent synergistic anti-tumor effect. Once the nanomedicine was internalized, it induced apoptosis through ROS generation and the activation of caspase-3. Concurrently, DMF directly reduced the levels of glutathione (GSH) in tumor cells by inhibiting System Xc

Indexed as

ApoptosisCombination therapyDiffuse large B-Cell lymphomaDimethyl fumarateDoxorubicinFerroptosis

Identifiers

PMID40492153
PMCPMC12148451

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.