Evidence map›Paper›PMID 34796317›Full record

ArticleCancer drug resistance (Alhambra, Calif.)2021

Imaging methods to evaluate tumor microenvironment factors affecting nanoparticle drug delivery and antitumor response.

Amber S Moody, Paul A Dayton, William C Zamboni

Open access · diamondAbstract read
In one paragraph

Article in Cancer drug resistance (Alhambra, Calif.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

14 citing papers in PubMed, 14 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Amber S MoodyUNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC 27599, USA.
Paul A DaytonUNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC 27599, USA.
William C ZamboniUNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC 27599, USA.
University of North Carolina at Chapel Hill · USUNC Lineberger Comprehensive Cancer Center

Funding

CAROLINA CANCER NANOTECHNOLOGY TRAINING PROGRAM (C-CNTP)T32CA196589 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Gaorav P. Gupta, ALEXANDER V KABANOV · 2015 to 2026
$4.5M
NCI NIH HHS T32 CA196589
6 · The paper itself

Abstract

Standard small molecule and nanoparticulate chemotherapies are used for cancer treatment; however, their effectiveness remains highly variable. One reason for this variable response is hypothesized to be due to nonspecific drug distribution and heterogeneity of the tumor microenvironment, which affect tumor delivery of the agents. Nanoparticle drugs have many theoretical advantages, but due to variability in tumor microenvironment (TME) factors, the overall drug delivery to tumors and associated antitumor response are low. The nanotechnology field would greatly benefit from a thorough analysis of the TME factors that create these physiological barriers to tumor delivery and treatment in preclinical models and in patients. Thus, there is a need to develop methods that can be used to reveal the content of the TME, determine how these TME factors affect drug delivery, and modulate TME factors to increase the tumor delivery and efficacy of nanoparticles. In this review, we will discuss TME factors involved in drug delivery, and how biomedical imaging tools can be used to evaluate tumor barriers and predict drug delivery to tumors and antitumor response.

Indexed as

drug deliveryimagingnanoparticlesTumor microenvironment

Identifiers

PMID34796317
PMCPMC8597952
OpenAlexW3133513882

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.