Evidence map›Paper›PMID 35600657›Full record

ArticleBioengineering & translational medicine2022

Two diverse carriers are better than one: A case study in α-particle therapy for prostate specific membrane antigen-expressing prostate cancers.

Dominick Salerno, Alaina Howe, Omkar Bhatavdekar, Anders Josefsson, Jesus Pacheco-Torres, Zaver M Bhujwalla, Kathleen L Gabrielson, Stavroula Sofou

Open access · goldAbstract read
In one paragraph

Article in Bioengineering & translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. MIRD Pamphlet No. 31: MIRDcell V4-Artificial Intelligence Tools to Formulate Optimized Radiopharmaceutical Cocktails for Therapy.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  5. Article
  6. Radiobiological Assessment of Targeted Radionuclide Therapy with [International journal of molecular sciences · 2023
    Article
  7. Review
  8. Article
  9. Actinium-225 in Targeted Alpha Therapy.Journal of medical physics
    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 1 institution in 1 country.

Dominick SalernoChemical and Biomolecular Engineering (ChemBE) Institute for NanoBioTechnology (INBT) Johns Hopkins University Baltimore Maryland USA.
Alaina HoweChemical and Biomolecular Engineering (ChemBE) Institute for NanoBioTechnology (INBT) Johns Hopkins University Baltimore Maryland USA.
Omkar BhatavdekarChemical and Biomolecular Engineering (ChemBE) Institute for NanoBioTechnology (INBT) Johns Hopkins University Baltimore Maryland USA.
Anders JosefssonRussell H. Morgan Department of Radiology and Radiological Science Johns Hopkins University Baltimore Maryland USA.ORCID https://orcid.org/0000-0002-0800-2305
Jesus Pacheco-TorresRussell H. Morgan Department of Radiology and Radiological Science Johns Hopkins University Baltimore Maryland USA.
Zaver M BhujwallaRussell H. Morgan Department of Radiology and Radiological Science Johns Hopkins University Baltimore Maryland USA.
Kathleen L GabrielsonMolecular and Comparative Pathobiology Johns Hopkins University Baltimore Maryland USA.
Stavroula SofouChemical and Biomolecular Engineering (ChemBE) Institute for NanoBioTechnology (INBT) Johns Hopkins University Baltimore Maryland USA.ORCID https://orcid.org/0000-0003-1735-326X
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Partial and/or heterogeneous irradiation of established (i.e., large, vascularized) tumors by α-particles that exhibit only a 4-5 cell-diameter range in tissue, limits the therapeutic effect, since regions not being hit by the high energy α-particles are likely not to be killed. This study aims to mechanistically understand a delivery strategy to uniformly distribute α-particles within established solid tumors by simultaneously delivering the same α-particle emitter by two diverse carriers, each killing a different region of the tumor: (1) the cancer-agnostic, but also tumor-responsive, liposomes engineered to best irradiate tumor regions far from the vasculature, and (2) a separately administered, antibody, targeting any cancer-cell's surface marker, to best irradiate the tumor perivascular regions. We demonstrate that on a prostate specific membrane antigen (PSMA)-expressing prostate cancer xenograft mouse model, for the same total injected radioactivity of the α-particle emitter Actinium-225, any radioactivity split ratio between the two carriers resulted in better tumor growth inhibition compared to the tumor inhibition when the total radioactivity was delivered by any of the two carriers alone. This finding was due to more uniform tumor irradiation for the same total injected radioactivity. The killing efficacy was improved even though the tumor-absorbed dose delivered by the combined carriers was lower than the tumor-absorbed dose delivered by the antibody alone. Studies on spheroids with different receptor-expression, used as surrogates of the tumors' avascular regions, demonstrated that our delivery strategy is valid even for as low as 1+ (ImmunoHistoChemistry score) PSMA-levels. The findings presented herein may hold clinical promise for those established tumors not being effectively eradicated by current α-particle radiotherapies.

Indexed as

Actinium‐225alpha‐particlesantibodyliposomesprostate cancerPSMAtumor microdistributions

Identifiers

PMID35600657
PMCPMC9115683
OpenAlexW3212262551

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.