Evidence map›Paper›PMID 38130427›Full record

ArticleMaterials today. Bio2024

Morphologically transformable peptide nanocarriers coloaded with doxorubicin and curcumin inhibit the growth and metastasis of hepatocellular carcinoma.

Yun Liu, Yunxia Liu, Xinyu Sun, Yue Wang, Changqing Du, Jingkun Bai

Open access · goldAbstract read
In one paragraph

Article in Materials today. Bio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

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  11. Targeted Drug Nanodelivery and Immunotherapy for Combating Tumor Resistance.Combinatorial chemistry & high throughput screening · 2025
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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 1 institution in 1 country.

Yun LiuSchool of Stomatology, Weifang Medical University, Weifang, 261053, China.
Yunxia LiuSchool of Stomatology, Weifang Medical University, Weifang, 261053, China.
Xinyu SunSchool of Medical Sciences, Weifang Medical University, Weifang, 261053, China.
Yue WangSchool of Medical Sciences, Weifang Medical University, Weifang, 261053, China.
Changqing DuDepartment of Dentistry, Affiliated Hospital of Weifang Medical University, Weifang, 261035, China.
Jingkun BaiSchool of Bioscience and Technology, Weifang Medical University, Weifang, 261053, China.
Weifang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In tumor treatment, the highly disordered vascular system and lack of accumulation of chemotherapeutic drugs in tumors severely limit the therapeutic role of nanocarriers. Smaller drug-containing nanoparticles (NPs) can better penetrate the tumor but are easily removed, which severely limits the tumor-killing properties of the drug. The chemotherapeutic medication doxorubicin (DOX) is highly toxic to the heart, but this toxicity can be effectively mitigated and the combined anticancer effect can be enhanced by clinically incorporating curcumin (CUR) as part of the dual therapy. We designed a small-molecule peptide, Pep1, containing a targeting peptide (CREKA) and a pH-responsive moiety. These NPs can target the blood vessels in tumor microthrombi and undergo a morphological shift in the tumor microenvironment. This process enhances the penetration and accumulation of drugs, ultimately improving the effectiveness of cancer treatment.

Indexed as

CREKA targetingDrug retentionMorphological transformationPeptide self-assemblypH responsive

Identifiers

PMID38130427
PMCPMC10733681
OpenAlexW4389622849

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.