Evidence map›Paper›PMID 29916268›Full record

ArticleDrug delivery2018

Anti-GPC3 antibody-modified sorafenib-loaded nanoparticles significantly inhibited HepG2 hepatocellular carcinoma.

Xiaolong Tang, Longzhou Chen, Amin Li, Shiyu Cai, Yinci Zhang, Xueke Liu, Zhenyou Jiang, Xinkuang Liu, Yong Liang, Dong Ma

Open access · goldAbstract read
In one paragraph

Article in Drug delivery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 62 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Smart nanoparticles for cancer therapy.Signal transduction and targeted therapy · 2023
    Review
  7. ETS-1/c-Met drives resistance to sorafenib in hepatocellular carcinoma.American journal of translational research · 2023
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Drug delivery strategy in hepatocellular carcinoma therapy.Cell communication and signaling : CCS · 2022
    Review
  13. Review
  14. Engineering nanotheranostic strategies for liver cancer.World journal of gastrointestinal oncology · 2021
    Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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

10 authors at 4 institutions in 1 country.

Xiaolong Tanga Medical College , Anhui University of Science and Technology , Huainan , China.
Longzhou Chenb Department of Galactophore , Huai'an Maternity and Child Healthcare Hospital Affiliated to Yangzhou University Medical Academy , Huaian , China.
Amin Lia Medical College , Anhui University of Science and Technology , Huainan , China.
Shiyu Caia Medical College , Anhui University of Science and Technology , Huainan , China.
Yinci Zhanga Medical College , Anhui University of Science and Technology , Huainan , China.
Xueke Liua Medical College , Anhui University of Science and Technology , Huainan , China.
Zhenyou Jiangc Department of Microbiology and Immunology , Jinan University , Guangzhou , China.
Xinkuang Liua Medical College , Anhui University of Science and Technology , Huainan , China.
Yong Liangd Huai'an Hospital Affiliated of Xuzhou Medical College and Huai'an Second Hospital , Huai'an , China.
Dong Mae Department of Biomedical Engineering, Key Laboratory of Biomaterials of Guangdong Higher Education Institutes , Jinan University , Guangzhou , China.
Anhui University of Science and Technology · CNJinan University · CNSecond People’s Hospital of Huai’an · CNYangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sorafenib (SFB) has improved the treatment of hepatocellular carcinoma (HCC) and has fewer severe side effects than other agents used for that purpose. However, due to a lack of tumor-specific targeting, the concentration of the drug in tumor tissue cannot be permanently maintained at a level that inhibits tumor growth. To overcome this problem, we developed a novel SFB-loaded polymer nanoparticle (NP). The NP (a TPGS-b-PCL copolymer that was synthesized from ε-caprolactone and d-α-tocopheryl polyethylene glycol 1000 succinate (TPGS) via ring-opening polymerization) contains Pluronic P123 and SFB, and its surface is modified with anti-GPC3 antibody to produce the polymer nanoparticle (NP-SFB-Ab). The Ab-conjugated NPs had higher cellular uptake by HepG2 cells than did non-antibody-conjugated SPD-containing nanoparticles (NP-SFB). The NP-SFB-Ab also displayed better stability characteristics, released higher levels of SFB into cell culture medium, and was more cytotoxic to tumor cells than was non-targeted NP-SFB and free SFB. The NP-SFB-Ab downregulated expression of the anti-apoptosis molecule MCL-1, which led to polymerization of Bax and Bak in mitochondrial cytosol. The NP-SFB-AB also promoted the mitochondrial release of cytochrome C, resulting in cellular apoptosis. Moreover, the NP-SFB-Ab significantly inhibited the growth of HepG2 xenograft tumors in nude mice without producing obvious side effects. These findings suggest that NP-SFB-Ab is a promising new method for achieving targeted therapy of HCC.

Indexed as

AnimalsAntibodiesAntineoplastic AgentsCaproatesCarcinoma, HepatocellularCell Line, TumorGlypicansHep G2 CellsHumansLactonesLiver NeoplasmsMiceMice, Inbred BALB CMice, NudeNanoparticlesNiacinamideAntibodiesAntineoplastic AgentsCaproatescaprolactoneGlypicansGPC3 protein, humanLactonesNiacinamidePhenylurea CompoundsPolyethylene GlycolsPolymersSorafenibanti-GPC3 antibodyHepatocellular carcinomananoparticlessorafenibtargeted delivery

Identifiers

PMID29916268
PMCPMC6058710
OpenAlexW2809179038

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.