Evidence map›Paper›PMID 35876089›Full record

ArticleInternational journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group2022

Selecting ideal drugs for encapsulation in thermosensitive liposomes and other triggered nanoparticles.

Krishna K Ramajayam, Danforth A Newton, Dieter Haemmerich

Open access · goldAbstract read
In one paragraph

Article in International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Krishna K RamajayamDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC, USA.ORCID 0000-0002-9820-5842
Danforth A NewtonDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC, USA.ORCID 0000-0002-6089-3213
Dieter HaemmerichDepartment of Pediatrics, Medical University of South Carolina, Charleston, SC, USA.ORCID 0000-0003-1127-7024
Medical University of South Carolina · US

Funding

Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI Gregory E Hicks · 2013 to 2026
$60.5M
In vivo derived in silico model for DDS optimizationR01CA181664 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Dieter Haemmerich · 2014 to 2026
$3.2M
EXTRAMURAL RESEARCH FACILITIES CONSTRUCTIONC06RR018823 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAYMOND, JOHN R · 2003 to 2003
$2.9M
MUSC FACIL EXPANSION &RENOV: SLE C06RR015455 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAYMOND, JOHN R · 2002 to 2002
$2.0M
NCI NIH HHS R01 CA181664NCRR NIH HHS C06 RR015455NCRR NIH HHS C06 RR018823NIGMS NIH HHS U54 GM104941
6 · The paper itself

Abstract

objectiveThermosensitive liposomes (TSL) and other triggered drug delivery systems (DDS) are promising therapeutic strategies for targeted drug delivery. However, successful designs with candidate drugs depend on many variables, including nanoparticle formulation, drug properties, and cancer cell properties. We developed a computational model based on experimental data to predict the potential efficacies of drugs when used with triggered DDS, such as TSL.

methodsA computer model based on the Krogh cylinder was developed to predict uptake and cell survival with four anthracyclines when delivered by intravascular triggered DDS (e.g., TSL): doxorubicin (DOX), idarubicin (IDA), pirarubicin (PIR), and aclarubicin (ACLA). We simulated three tumor types derived from SVR angiosarcoma, LLC lung cancer, or SCC-1 oral carcinoma cells.

resultsFor all three cell lines, ACLA and IDA had the fastest cell uptake, with slower uptake for DOX and PIR. Cytotoxicity was highest for IDA and lowest for ACLA. The computer model predicted the highest tumor drug uptake for ACLA and IDA, resulting from their rapid cell uptake. Overall, IDA was most effective and produced the lowest tumor survival fraction, with DOX being the second best. Perivascular drug penetration was reduced for drugs with rapid cell uptake, potentially limiting delivery to cancer cells distant from the vasculature.

conclusionCombining simple

Indexed as

LiposomesNanoparticlesAntibiotics, AntineoplasticCell Line, TumorDoxorubicinDrug Delivery SystemsAntibiotics, AntineoplasticDoxorubicinLiposomesanthracyclinescancercomputer modeldrug delivery systemsnanoparticlesThermosensitive liposomes

Identifiers

PMID35876089
PMCPMC9774053
OpenAlexW4286945666

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.