Evidence map›Paper›PMID 22503536›Full record

ArticleNuclear medicine and biology2012

A method to predict response of cell populations to cocktails of chemotherapeutics and radiopharmaceuticals: validation with daunomycin, doxorubicin, and the alpha particle emitter (210)Po.

John M Akudugu, Roger W Howell

Abstract read
In one paragraph

Article in Nuclear medicine and biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. 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
  3. Article
  4. Review
  5. Dosimetry for radiopharmaceutical therapy.Seminars in nuclear medicine · 2014
    Review
  6. Article
  7. 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

2 authors at 2 institutions in 1 country.

John M AkuduguDivision of Radiation Research, Department of Radiology, UMDNJ - New Jersey Medical School Cancer Center, Newark, NJ 07103, USA. jakudugu@sun.ac.za
Roger W Howell
Rutgers New Jersey Medical SchoolRutgers, The State University of New Jersey · US

Funding

EFFECTS OF NONUNIFORM DISTRIBUTIONS OF RADIOACTIVITYR01CA083838 · NCI · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI HOWELL, ROGER W. · 2000 to 2009
$2.2M
NCI NIH HHS R01 CA083838
6 · The paper itself

Abstract

unlabelledThere is considerable interest in the use of α-emitting radionuclides in radioimmunotherapy. However, the high toxicity of α-emitting radionuclides often does not permit administration of high activities for fear of normal tissue toxicity. Accordingly, targeting procedures need to be optimized for improved tumor control and minimized normal tissue toxicity. To guide design of effective cocktails of α-emitting radiopharmaceuticals and chemotherapy drugs, approaches that can predict biological response of a cell population on a cell-by-cell basis are needed.

methodsCells were concomitantly treated with the α-particle emitting radiochemical (210)Po-citrate and daunomycin, or with (210)Po-citrate and doxorubicin. The responses of the treated cell populations were measured with a colony forming assay. The nonuniform cellular incorporation of the radiochemical and drugs was determined simultaneously on a cell-by-cell basis using flow cytometry. Monte Carlo methods were used to simulate cell survival on the basis of individual cell incorporation of each cytotoxic agent and validated by direct comparison with the experimental clonogenic cell survival.

resultsBoth daunomycin and doxorubicin enhanced the toxicity of the α-particles with a magnitude greater than expected based on single-agent toxicities. Cell survival obtained by Monte Carlo simulation was in good agreement with clonogenic cell survival for the combination treatments.

conclusionFlow cytometry assisted Monte Carlo simulations can be used to predict toxicity of cocktails of α-emitting radiopharmaceuticals and chemotherapy drugs in a manner that takes into account the effects of nonuniform distributions of agents within cell populations.

Indexed as

Monte Carlo MethodAlpha ParticlesAnimalsAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsCell LineCell SurvivalCricetinaeDaunorubicinDoxorubicinPoloniumRadiopharmaceuticalsReproducibility of ResultsAntineoplastic AgentsDaunorubicinDoxorubicinPoloniumRadiopharmaceuticals

Identifiers

PMID22503536
PMCPMC3399932
OpenAlexW2146210738

What OpenQuestion holds

Textmetadata
LicenceTDM
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.