Evidence map›Paper›PMID 35664074›Full record

ReviewTheranostics2022

Antibody-based drug delivery systems for cancer therapy: Mechanisms, challenges, and prospects.

Zhoujiang Chen, Ranjith Kumar Kankala, Zhiyong Yang, Wei Li, Songzhi Xie, Hanmei Li, Ai-Zheng Chen, Liang Zou

Open access · goldAbstract readReview
In one paragraph

Review in Theranostics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
11.7field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. The Warburg Effect and Aerobic Glycolysis in Tumors.Cancer treatment and research · 2026
    Review
  12. Review
  13. Review
  14. Journal of pharmaceutical analysis · 2025
    Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Evaluating TcAs for Use in Biotechnology Applications.Biotech (Basel (Switzerland)) · 2025
    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

8 authors at 1 institution in 1 country.

Zhoujiang ChenSchool of Food and Bioengineering, Institute for advanced study, Chengdu University, Chengdu 610106, Sichuan, PR China.
Ranjith Kumar KankalaInstitute of Biomaterials and Tissue Engineering, Huaqiao University, Xiamen 361021, Fujian, PR China.
Zhiyong YangDepartment of Clinical Pharmacy, Affiliated Hospital of Chengdu University, Chengdu University, Chengdu 610081, Sichuan, PR China.
Wei LiSchool of Basic Medical Sciences, Chengdu University, Chengdu 610106, Sichuan, PR China.
Songzhi XieSchool of Food and Bioengineering, Institute for advanced study, Chengdu University, Chengdu 610106, Sichuan, PR China.
Hanmei LiSchool of Food and Bioengineering, Institute for advanced study, Chengdu University, Chengdu 610106, Sichuan, PR China.
Ai-Zheng ChenInstitute of Biomaterials and Tissue Engineering, Huaqiao University, Xiamen 361021, Fujian, PR China.
Liang ZouSchool of Food and Bioengineering, Institute for advanced study, Chengdu University, Chengdu 610106, Sichuan, PR China.
Huaqiao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, antibody-based cancer therapy has emerged as one of the efficient therapeutic strategies, such as immune checkpoint inhibitors (ICIs), angiogenesis inhibitors, antibody-drug conjugates (ADCs), multi-specific antibodies, and chimeric antigen receptor T (CAR-T) cells, among others. To date, various drug delivery platforms have been developed to improve the bioavailability, delivery convenience, and reduced toxicity towards increased therapeutic efficacy of antibodies. Herein, we emphasize the clinical manifestations of various antibody-based tumor therapies, highlighting their mechanisms and applications for cancer therapy. Further, based on the problems to be solved in the current clinical application of antibodies, and combined with the advanced drug delivery technologies, we discuss the roles of antibody-based drug delivery systems (DDSs) in cancer therapy, such as enhanced patient compliance and regulating the tumor microenvironment for combined therapy. By expounding the importance of DDSs and discussing the challenges and prospects of their implementation, we suggest that pharmaceutical enterprises and scientists develop appropriate antibody-based delivery platforms.

Indexed as

Drug Delivery SystemsNeoplasmsAntibodiesHumansImmune Checkpoint InhibitorsImmunotherapyTumor MicroenvironmentAntibodiesImmune Checkpoint InhibitorsAntibody-based therapyControlled releaseDrug delivery systemImmunotherapy

Identifiers

PMID35664074
PMCPMC9131265
OpenAlexW4285151759

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.