Evidence map›Paper›PMID 36925689›Full record

ArticleBioengineering & translational medicine2023

Synergistic combination therapy delivered via layer-by-layer nanoparticles induces solid tumor regression of ovarian cancer.

Stephanie Kong, Pearl Moharil, Abram Handly-Santana, Natalie Boehnke, Richard Panayiotou, Victoria Gomerdinger, Gil Covarrubias, Ivan S Pires, Ioannis Zervantonakis, Joan Brugge and 1 more

Open access · goldFull text read
In one paragraph

Article in Bioengineering & translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Pooled Nanoparticle Screening Using a Chemical Barcoding Approach.Angewandte Chemie (International ed. in English) · 2025
    Article
  7. Article
  8. Article
  9. Targeting and monitoring ovarian cancer invasion with an RNAi and peptide delivery system.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Article
  12. Article
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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 2 institutions in 1 country.

Stephanie KongKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology Cambridge Massachusetts United States.ORCID https://orcid.org/0000-0001-8441-1373
Pearl MoharilHarvard Medical School Harvard University Boston Massachusetts United States.
Abram Handly-SantanaHarvard Medical School Harvard University Boston Massachusetts United States.
Natalie BoehnkeKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology Cambridge Massachusetts United States.ORCID https://orcid.org/0000-0002-3468-2033
Richard PanayiotouHarvard Medical School Harvard University Boston Massachusetts United States.
Victoria GomerdingerKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology Cambridge Massachusetts United States.ORCID https://orcid.org/0000-0003-1122-0482
Gil CovarrubiasKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology Cambridge Massachusetts United States.
Ivan S PiresKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology Cambridge Massachusetts United States.ORCID https://orcid.org/0000-0002-4035-0027
Ioannis ZervantonakisHarvard Medical School Harvard University Boston Massachusetts United States.
Joan BruggeHarvard Medical School Harvard University Boston Massachusetts United States.
Paula T HammondKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology Cambridge Massachusetts United States.ORCID https://orcid.org/0000-0002-9835-192X
Massachusetts Institute of Technology · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of patients with high grade serous ovarian cancer (HGSOC) develop recurrent disease and chemotherapy resistance. To identify drug combinations that would be effective in treatment of chemotherapy resistant disease, we examined the efficacy of drug combinations that target the three antiapoptotic proteins most commonly expressed in HGSOC-BCL2, BCL-XL, and MCL1. Co-inhibition of BCL2 and BCL-XL (ABT-263) with inhibition of MCL1 (S63845) induces potent synergistic cytotoxicity in multiple HGSOC models. Since this drug combination is predicted to be toxic to patients due to the known clinical morbidities of each drug, we developed layer-by-layer nanoparticles (LbL NPs) that co-encapsulate these inhibitors in order to target HGSOC tumor cells and reduce systemic toxicities. We show that the LbL NPs can be designed to have high association with specific ovarian tumor cell types targeted in these studies, thus enabling a more selective uptake when delivered via intraperitoneal injection. Treatment with these LbL NPs displayed better potency than free drugs in vitro and resulted in near-complete elimination of solid tumor metastases of ovarian cancer xenografts. Thus, these results support the exploration of LbL NPs as a strategy to deliver potent drug combinations to recurrent HGSOC. While these findings are described for co-encapsulation of a BCL2/XL and a MCL1 inhibitor, the modular nature of LbL assembly provides flexibility in the range of therapies that can be incorporated, making LbL NPs an adaptable vehicle for delivery of additional combinations of pathway inhibitors and other oncology drugs.

Indexed as

cancercombination therapydrug deliverylayer‐by‐layernanoparticlesolid tumorsynergy

Identifiers

PMID36925689
PMCPMC10013771
OpenAlexW4308750991

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read62
identifiers read1
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.