Evidence map›Paper›PMID 28504251›Full record

ArticleActa pharmacologica Sinica2017

Programmable co-delivery of the immune checkpoint inhibitor NLG919 and chemotherapeutic doxorubicin via a redox-responsive immunostimulatory polymeric prodrug carrier.

Jing-Jing Sun, Yi-Chao Chen, Yi-Xian Huang, Wen-Chen Zhao, Yan-Hua Liu, Raman Venkataramanan, Bin-Feng Lu, Song Li

Open access · bronzeAbstract read
In one paragraph

Article in Acta pharmacologica Sinica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed, 75 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Harnessing IDO inhibitors to optimize cancer immunotherapy.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Co-delivery systems: hope for clinical application?Drug delivery and translational research · 2022
    Review
  16. Review
  17. Review
  18. Review
  19. Review
  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

8 authors at 2 institutions in 2 countries.

Jing-Jing SunCenter for Pharmacogenetics.
Yi-Chao ChenCenter for Pharmacogenetics.
Yi-Xian HuangCenter for Pharmacogenetics.
Wen-Chen ZhaoDepartment of Pharmaceutical Sciences, School of Pharmacy.
Yan-Hua LiuDepartment of Pharmaceutics, School of Pharmacy, Ningxia Medical University, Yinchuan 750004, China.
Raman VenkataramananDepartment of Pharmaceutical Sciences, School of Pharmacy.
Bin-Feng LuUniversity of Pittsburgh Cancer Institute, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Song LiCenter for Pharmacogenetics.
UPMC Hillman Cancer Center · USNingxia Medical University · CN

Funding

Targeted Combination Therapy for Breast CancerR01CA174305 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LI, SONG · 2014 to 2018
$1.6M
Rational Design of Lipidic Vectors for Mitochondria-Targeted AntioxidantsR01GM102989 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LI, SONG · 2013 to 2016
$1.1M
Nanomicellar Formulation for Synergistic Targeting of Prostate CancerR21CA173887 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LI, SONG · 2013 to 2014
$361k
NCI NIH HHS R01 CA174305NCI NIH HHS R21 CA173887NIGMS NIH HHS R01 GM102989
6 · The paper itself

Abstract

To achieve synergistic therapeutic efficacy and prevent cancer relapse, chemotherapy and immunotherapy have been combined as a new modality for tumor treatment. In this work, we designed a redox-responsive immunostimulatory polymeric prodrug carrier, PSSN10, for programmable co-delivery of an immune checkpoint inhibitor NLG919 (NLG) and a chemotherapeutic doxorubicin (DOX). NLG-containing PSSN10 prodrug polymers were self-assembled into nano-sized micelles that served as a carrier to load DOX (DOX/PSSN10 micelles). DOX/PSSN10 micelles displayed spherical morphology with a size of ∼170 nm. DOX was effectively loaded into PSSN10 micelles with a loading efficiency of 84.0%. In vitro DOX release studies showed that rapid drug release could be achieved in the highly redox environment after intracellular uptake by tumor cells. In 4T1.2 tumor-bearing mice, DOX/PSSN10 micelles exhibited greater accumulation of DOX and NLG in the tumor tissues compared with other organs. The PSSN10 carrier dose-dependently enhanced T-cell immune responses in the lymphocyte-Panc02 co-culture experiments, and significantly inhibited tumor growth in vivo. DOX/PSSN10 micelles showed potent cytotoxicity in vitro against 4T1.2 mouse breast cancer cells and PC-3 human prostate cancer cells comparable to that of DOX. In 4T1.2 tumor-bearing mice, DOX/PSSN10 mixed micelles (5 mg DOX/kg, iv) was more effective than DOXIL (a clinical formulation of liposomal DOX) or free DOX in inhibiting the tumor growth and prolonging the survival of the treated mice. In addition, a more immunoactive tumor microenvironment was observed in the mice treated with PSSN10 or DOX/PSSN10 micelles compared with the other treatment groups. In conclusion, systemic delivery of DOX via PSSN10 nanocarrier results in synergistic anti-tumor activity.

Indexed as

Drug Delivery SystemsAnimalsAntineoplastic AgentsCell ProliferationDose-Response Relationship, DrugDoxorubicinDrug CarriersDrug Screening Assays, AntitumorFemaleHumansImidazolesImmunizationIsoindolesMiceMice, Inbred BALB CMice, Inbred C57BL1-cyclohexyl-2-(5H-imidazo(5,1-a)isoindol-5-yl)ethanolAntineoplastic AgentsDoxorubicinDrug CarriersImidazolesIsoindolesMicellesPolymersProdrugs

Identifiers

PMID28504251
PMCPMC5520195
OpenAlexW2612765073

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.