Evidence map›Paper›PMID 40550428›Full record

ArticleInternational journal of radiation oncology, biology, physics2025

Space- and Time-Defined Monte Carlo Dosimetry Explains Ovarian Cancer Cell Viability in Targeted α-Particle Therapy With Astatine 211-ParaThanatrace.

Victor V Onecha, Daniel Suarez-García, Jesús J Bosque, Hwan Lee, Fiona Simpkins, Sarah B Gitto, Daniel A Pryma, Alejandro Bertolet

Abstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Monte Carlo microdosimetry ofEJNMMI physics · 2026
    Article
  2. 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.

Victor V OnechaDepartment of Radiation Oncology, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts.
Daniel Suarez-GarcíaDepartamento de Física Nuclear, Atómica y Molecular, Universidad de Sevilla, Sevilla, Spain.
Jesús J BosqueDepartment of Radiation Oncology, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts.
Hwan LeeDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Fiona SimpkinsDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Sarah B GittoDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Daniel A PrymaDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania.
Alejandro BertoletDepartment of Radiation Oncology, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts. Electronic address: abertoletreina@mgh.harvard.edu.

Funding

RESEARCH TRACK RADIOLOGY RESIDENCYT32EB004311 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Terence P Gade, Misun Hwang · 2005 to 2026
$4.5M
Optimizing theranostic radiopharmaceutical therapy to combat resistance to PARP inhibition in advanced ovarian cancerR01CA278882 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Michael David Farwell · 2023 to 2026
$2.6M
Radiation dosimetry for alpha-particle radiopharmaceutical therapy and application to pediatric neuroblastomaR00CA267560 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BERTOLET REINA, ALEJANDRO · 2023 to 2025
$721k
NCI NIH HHS R00 CA267560NCI NIH HHS R01 CA278882NIBIB NIH HHS T32 EB004311
6 · The paper itself

Abstract

purposeRadiopharmaceutical therapy (RPT) aims to irradiate tumors using antibodies or small molecules chelated with radioisotopes that target tumor cells. The biological response resulting from the complex interplay between radioisotope decay and cell binding processes is not yet fully understood. Because dose, including its spatiotemporal pattern, strongly correlates with ionizing radiation effects, detailed dosimetry is essential to predict biological responses. This study introduces TOol for PArticle Simulation (TOPAS)-RPT, a Monte Carlo platform for stochastic and spatiotemporal heterogeneous radiation exposures that models the interplay of radioisotope decay and radioligand-receptor binding. METHODS AND MATERIALS: We implemented new models within the TOPAS Monte Carlo platform to enable the dynamic simulation of RPT exposures. Simulations were discretized over time in a series of independent runs. Binding kinetics were implemented using a compartmental model with dynamic populations, updating the abundance and distribution of the isotopes at every time step. In this work, TOPAS-RPT was applied to replicate in vitro viability experiments on ovarian cancer cells (SKOV3 and PEO1) treated under different conditions with astatine 211-ParaThanatrace ([

resultsWe used the proposed TOPAS-RPT to perform a dose-viability analysis. In PEO1 cells, we observed a consistent dose-viability response when cells were exposed to [

conclusionsThe characterized time- and space-structure of the absorbed dose needs to be accounted for to explain variabilities in radiosensitivity to RPT exposures with diverse binding properties and radiation emissions.

Indexed as

Alpha ParticlesAstatineCell SurvivalMonte Carlo MethodOvarian NeoplasmsRadiopharmaceuticalsCell Line, TumorFemaleHumansRadiometryTime FactorsAstatineAstatine-211Radiopharmaceuticals

Identifiers

PMID40550428
PMCPMC12221219

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Registered trials

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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.