Evidence map›Paper›PMID 31249881›Full record

ArticleBioengineering & translational medicine2019

Layer-by-layer nanoparticles for novel delivery of cisplatin and PARP inhibitors for platinum-based drug resistance therapy in ovarian cancer.

Lawrence B Mensah, Stephen W Morton, Jiahe Li, Haihua Xiao, Mohiuddin A Quadir, Kevin M Elias, Emily Penn, Aysen K Richson, Paiman Peter Ghoroghchian, Joyce Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Bioengineering & translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
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  7. Olaparib: A Chemosensitizer for the Treatment of Glioblastoma.Mini reviews in medicinal chemistry · 2025
    Review
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  14. Article
  15. Nanoparticle-Based Combination Therapy for Ovarian Cancer.International journal of nanomedicine · 2023
    Review
  16. Article
  17. Review
  18. Ovarian cancer resistance to PARPi and platinum-containing chemotherapy.Cancer drug resistance (Alhambra, Calif.) · 2022
    Article
  19. Review
  20. 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

11 authors at 4 institutions in 2 countries.

Lawrence B MensahThe Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology (MIT) Cambridge MA, 02142.
Stephen W MortonThe Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology (MIT) Cambridge MA, 02142.
Jiahe LiThe Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology (MIT) Cambridge MA, 02142.
Haihua XiaoThe Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology (MIT) Cambridge MA, 02142.
Mohiuddin A QuadirThe Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology (MIT) Cambridge MA, 02142.
Kevin M EliasThe Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology (MIT) Cambridge MA, 02142.
Emily PennThe Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology (MIT) Cambridge MA, 02142.
Aysen K RichsonThe Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology (MIT) Cambridge MA, 02142.
Paiman Peter GhoroghchianThe Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology (MIT) Cambridge MA, 02142.
Joyce LiuDana-Farber Cancer Institute Boston MA, 02115.
Paula T HammondThe Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology (MIT) Cambridge MA, 02142.ORCID https://orcid.org/0000-0002-9835-192X
IIT@MIT · USDana-Farber Cancer Institute · USBrigham and Women's Hospital · USChinese Academy of Sciences · CN

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
REPRODUCTIVE SCIENTIST TRAINING PROGRAMK12HD000849 · NICHD · WASHINGTON UNIVERSITY · PI Danny J Schust · 1988 to 2026
$33.2M
NCI NIH HHS P30 CA014051NICHD NIH HHS K12 HD000849
6 · The paper itself

Abstract

Advanced staged high-grade serous ovarian cancer (HGSOC) is the leading cause of gynecological cancer death in the developed world, with 5-year survival rates of only 25-30% due to late-stage diagnosis and the shortcomings of platinum-based therapies. A Phase I clinical trial of a combination of free cisplatin and poly(ADP-ribose) polymerase inhibitors (PARPis) showed therapeutic benefit for HGSOC. In this study, we address the challenge of resistance to platinum-based therapy by developing a targeted delivery approach. Novel electrostatic layer-by-layer (LbL) liposomal nanoparticles (NPs) with a terminal hyaluronic acid layer that facilitates CD44 receptor targeting are designed for selective targeting of HGSOC cells; the liposomes can be formulated to contain both cisplatin and the PARPi drug within the liposomal core and bilayer. The therapeutic effectiveness of LbL NP-encapsulated cisplatin and PARPi alone and in combination was compared with the corresponding free drugs in luciferase and CD44-expressing OVCAR8 orthotopic xenografts in female nude mice. The NPs exhibited prolonged blood circulation half-life, mechanistic staged drug release and targeted codelivery of the therapeutic agents to HGSOC cells. Moreover, compared to the free drugs, the NPs resulted in significantly reduced tumor metastasis, extended survival, and moderated systemic toxicity.

Indexed as

BMN 673cisplatinlayer‐by‐layernanomedicinenanoparticlesolaparibovarian cancerPARP inhibitors

Identifiers

PMID31249881
PMCPMC6584097
OpenAlexW2946362440

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.