Evidence mapPaperPMID 42283995Full record

ReviewDiscover nano2026

Overcoming chemotherapy resistance in diffuse large B-cell lymphoma using multifunctional nanocarriers: current advances and clinical challenges.

Danyang Li, Xiaoyan Ke, Kai Hu

Abstract readReview
In one paragraph

Review in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Danyang LiDepartment of Lymphoma and Myeloma Research Center, Beijing GoBroad Hospital, Beijing, 102200, China.
Xiaoyan KeDepartment of Lymphoma and Myeloma Research Center, Beijing GoBroad Hospital, Beijing, 102200, China. kexy@gobroadhealthcare.com.
Kai HuDepartment of Lymphoma and Myeloma Research Center, Beijing GoBroad Hospital, Beijing, 102200, China. huk@gobroadhealthcare.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemoresistance is a primary challenge in diffuse large B-cell lymphoma (DLBCL) treatment. The review is developed to explore the potential of the nanocarrier strategy to minimize resistance in DLBCL treatment. The application of nanocarriers offers promising solutions to increase the drug delivery, avoid resistance, and minimize off-target delivery. Therapeutic strategies of nanocarriers with targeted delivery, gene-based therapies, and combination therapies are explained in the review. This review further evaluates the CXCR4 and Transferrin Receptor 1 (TFR1) efficacy through highly functional nanocarriers that control resistance in the drug pathways. Moreover, it is found that microRNA (miRNA) and small interfering RNA (siRNA) delivery through nanocarriers is beneficial to reduce the chemoresistance and resensitise the DLBCL cells. Furthermore, the review included the significance of multifunctional nanocarriers that combine drug delivery with a stimuli-responsive system and gene regulation that further releases therapeutics in a selective tumour environment. The treatment option is also associated with various challenges, like biological barriers, scalability, safety issues, and the specificity of targeting impacts on the clinical adoption of these technologies. The future research is recommended to focus on the optimization of the nanocarrier design, integration of nanocarriers, and conducting clinical and pre-clinical studies using other therapeutic modalities, that can improve the treatment outcomes for DLBCL patients.

Indexed as

Chemotherapy resistanceDiffuse large B-cell lymphomaGene therapyMultifunctional nanocarriersTargeted delivery

Identifiers

PMID42283995
PMCPMC13263374

What Socratic holds

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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.