Evidence map›Paper›PMID 28470171›Full record

ArticleScientific reports2017

Co-delivery of paclitaxel and tetrandrine via iRGD peptide conjugated lipid-polymer hybrid nanoparticles overcome multidrug resistance in cancer cells.

Jinming Zhang, Lu Wang, Hon Fai Chan, Wei Xie, Sheng Chen, Chengwei He, Yitao Wang, Meiwan Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed, 90 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Advancing Cancer-Targeted Nanotherapies with Tumor Homing Peptides.ACS pharmacology & translational science · 2025
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Active Ingredients from Chinese Medicine for Combination Cancer Therapy.International journal of biological sciences · 2023
    Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Emerging Nano-Based Strategies Against Drug Resistance in Tumor Chemotherapy.Frontiers in bioengineering and biotechnology · 2021
    Review
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 3 institutions in 3 countries.

Jinming ZhangState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.
Lu WangState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.
Hon Fai ChanDepartment of Biomedical Engineering, Columbia University, New York, NY 10027, USA.
Wei XieDepartment of Respiratory Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China.
Sheng ChenDepartment of Respiratory Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China.
Chengwei HeState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.
Yitao WangState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.
Meiwan ChenState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.
University of Macau · MOShenzhen Pingle Orthopedic Hospital · CNColumbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the promising strategies to overcome tumor multidrug resistance (MDR) is to deliver anticancer drug along with P-glycoprotein (P-gp) inhibitor simultaneously. To enhance the cancer cellular internalization and implement the controlled drug release, herein an iRGD peptide-modified lipid-polymer hybrid nanosystem (LPN) was fabricated to coload paclitaxel (PTX) and tetrandrine (TET) at a precise combination ratio. In this co-delivery system, PTX was covalently conjugated to poly (D,L-lactide-co-glycolide) polymeric core by redox-sensitive disulfide bond, while TET was physically capsulated spontaneously for the aim to suppress P-gp in advance by the earlier released TET in cancer cells. As a result, the PTX+TET/iRGD LPNs with a core-shell structure possessed high drug loading efficiency, stability and redox-sensitive drug release profiles. Owing to the enhanced cellular uptake and P-gp suppression mediated by TET, significantly more PTX accumulated in A2780/PTX cells treated with PTX+TET/iRGD LPNs than either free drugs or non-iRGD modified LPNs. As expected, PTX+TET/iRGD LPNs presented the highest cytotoxicity against A2780/PTX cells and effectively promoted ROS production, enhanced apoptosis and cell cycle arrests particularly. Taken together, the co-delivery system demonstrated great promise as potential treatment for MDR-related tumors based on the synergistic effects of P-gp inhibition, enhanced endocytosis and intracellular sequentially drug release.

Indexed as

Drug Resistance, MultipleDrug Resistance, NeoplasmApoptosisATP Binding Cassette Transporter, Subfamily B, Member 1BenzylisoquinolinesCaspasesCell CycleCell Line, TumorDrug LiberationHumansLactic AcidLipidsNanoparticlesOligopeptidesPaclitaxelPolyglycolic AcidATP Binding Cassette Transporter, Subfamily B, Member 1BenzylisoquinolinesCaspasesLactic AcidLipidsN-end cysteine peptide tumor-homing peptideOligopeptidesPaclitaxelPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerPolymersReactive Oxygen SpeciesRhodamine 123tetrandrineTubulin

Identifiers

PMID28470171
PMCPMC5415764
OpenAlexW2610788148

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.