Evidence map›Paper›PMID 39381990›Full record

ReviewNanomedicine (London, England)2024

Challenges and opportunities of poly(amino acid) nanomedicines in cancer therapy.

Yuce Li, Jing He, Jixiu Liu, Wooram Um, Jianxun Ding

Abstract readReview
In one paragraph

Review in Nanomedicine (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Liposomes in tumor treatment: a double-edged sword.Science China. Life sciences · 2026
    Review
  2. Review
  3. Review
  4. 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.

Yuce LiCollege of Life Sciences & Health, Wuhan University of Science & Technology, 2 Huangjiahuxi Road, Wuhan, 430065, P. R. China.ORCID 0000-0003-0656-3149
Jing HeCollege of Life Sciences & Health, Wuhan University of Science & Technology, 2 Huangjiahuxi Road, Wuhan, 430065, P. R. China.ORCID 0009-0006-3606-9378
Jixiu LiuCollege of Life Sciences & Health, Wuhan University of Science & Technology, 2 Huangjiahuxi Road, Wuhan, 430065, P. R. China.ORCID 0009-0001-7655-0784
Wooram UmDepartment of Biotechnology, Pukyong National University, 45 Yongso-ro, Nam-Gu, Busan, 48513, Republic of Korea.ORCID 0000-0003-2479-0783
Jianxun DingKey Laboratory of Polymer Ecomaterials, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, 5625 Renmin Street, Changchun, 130022, P. R. China.ORCID 0000-0002-5232-8863

Funding

the Wuhan Science and Technology Bureau, P. R. China 2023020201020405
6 · The paper itself

Abstract

Poly(amino acid) nanomedicines hold significant promise for cancer therapy. However, their clinical translation has not matched the extensive efforts of scientists or the burgeoning body of research. The therapeutic outcomes with most nanomedicines often fall short of the promising results observed in animal experiments. This review explores the challenges faced in cancer therapy using poly(amino acid) nanomedicines, particularly addressing the controversies surrounding the enhanced permeability and retention effect and the lack of methods for controlled and reproducible mass production of poly(amino acid) nanomedicines. Furthermore, this review examines the opportunities emerging in this field due to the rapid advancements in artificial intelligence.

Indexed as

Amino AcidsNanomedicineNeoplasmsAnimalsAntineoplastic AgentsArtificial IntelligenceDrug CarriersDrug Delivery SystemsHumansNanoparticlesPeptidesAmino AcidsAntineoplastic AgentsDrug CarriersPeptidesadvanced cancer therapyartificial intelligenceenhanced permeability and retention effectmultilevel structurenanomedicinepoly(amino acid)

Identifiers

PMID39381990
PMCPMC11520535

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.