Evidence map›Paper›PMID 24634853›Full record

ArticleTranslational cancer research2013

Tumor microenvironment and nanotherapeutics.

Meenakshi Upreti, Amar Jyoti, Pallavi Sethi

Abstract read
In one paragraph

Article in Translational cancer research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

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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.

Meenakshi UpretiDepartment of Pharmaceutical Sciences and Cancer Nanotechnology Training Center, College of Pharmacy, University of Kentucky, Lexington, KY, USA.
Amar JyotiDepartment of Pharmaceutical Sciences and Cancer Nanotechnology Training Center, College of Pharmacy, University of Kentucky, Lexington, KY, USA.
Pallavi SethiDepartment of Pharmaceutical Sciences and Cancer Nanotechnology Training Center, College of Pharmacy, University of Kentucky, Lexington, KY, USA.

Funding

The University of Kentucky Cancer Nanotechnology Training Center (UK CNTC)R25CA153954 · NCI · UNIVERSITY OF KENTUCKY · PI ANDERSON, BRADLEY D, EVERS, BERNARD MARK · 2010 to 2014
$1.6M
Targeting solid-tumor vasculature with coencapsulated arsenic- and platinum-basedR21CA173609 · NCI · UNIVERSITY OF KENTUCKY · PI UPRETI, MEENAKSHI · 2013 to 2014
$375k
NCI NIH HHS R21 CA173609NCI NIH HHS R25 CA153954
6 · The paper itself

Abstract

Recent studies delineate a predominant role for the tumor microenvironment in tumor growth and progression. Improved knowledge of cancer biology and investigation of the complex functional interrelation between the cellular and noncellular compartments of the tumor microenvironment have provided an ideal platform for the evolution of novel cancer nanotherapies. In addition, multifunctional "smart" nanoparticles carrying imaging agents and delivering multiple drugs targeted preferentially to the tumor/tumor microenvironment will lead to early diagnosis and better treatment for patients with cancer. The emerging knowledge of the tumor microenvironment has enabled rational designing of nanoparticles for combinatorial treatment strategies that include radiotherapy, antiangiogenesis and chemotherapy. This multimodality approach is thus expected to achieve therapeutic efficacy and enhance the quality of life of cancer patients. This review highlights the unique characteristics of the tumor microenvironment that are exploited by nanotechnology to develop novel drug delivery systems aimed to target the tumor/tumor microenvironment.

Indexed as

endothelial cellsenhanced permeability and retention (EPR) effectmultiple drug resistance (MDR)nanoparticlesTumor microenvironment

Identifiers

PMID24634853
PMCPMC3951160

What OpenQuestion holds

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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.