Evidence map›Paper›PMID 24582543›Full record

ReviewAdvanced drug delivery reviews2014

Molecular deconstruction, detection, and computational prediction of microenvironment-modulated cellular responses to cancer therapeutics.

Mark A Labarge, Bahram Parvin, James B Lorens

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Automatic Transformation and Integration to Improve Visualization and Discovery of Latent Effects in Imaging Data.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2020
    Article
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  3. Review
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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 2 countries.

Mark A LabargeLife Science Division of Lawrence Berkeley National Laboratory, University of California, 1 Cylcotron Rd, MS977, Berkeley, CA 94720, USA. Electronic address: MALabarge@lbl.gov.
Bahram ParvinLife Science Division of Lawrence Berkeley National Laboratory, University of California, 1 Cylcotron Rd, MS977, Berkeley, CA 94720, USA. Electronic address: B_Parvin@lbl.gov.
James B LorensDepartment of Biomedicine and Center for Cancer Biomarkers, University of Bergen, Jonas Lies vei 91, NO-5020 Bergen, Norway. Electronic address: Jim.Lorens@biomed.uib.no.
Lawrence Berkeley National Laboratory · USUniversity of Bergen · NO

Funding

High Content Representation and Association of 3D Cell Culture ModelsR01CA140663 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PARVIN, BAHRAM A. · 2011 to 2014
$2.4M
Age-related shifts in epithelial lineages and tissue homeostasis in mammary gland 5R01AG040081-05R01AG040081 · NIA · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI LABARGE, MARK A · 2011 to 2015
$2.3M
The role of microenvironment in aging-related phenotypes of breastR00AG033176 · NIA · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI LABARGE, MARK A · 2010 to 2012
$703k
NCI NIH HHS R01 CA140663NCI NIH HHS R01CA140663NIA NIH HHS R00 AG033176NIA NIH HHS R01 AG040081NIA NIH HHS R01AG040081
6 · The paper itself

Abstract

The field of bioengineering has pioneered the application of new precision fabrication technologies to model the different geometric, physical or molecular components of tissue microenvironments on solid-state substrata. Tissue engineering approaches building on these advances are used to assemble multicellular mimetic-tissues where cells reside within defined spatial contexts. The functional responses of cells in fabricated microenvironments have revealed a rich interplay between the genome and extracellular effectors in determining cellular phenotypes and in a number of cases have revealed the dominance of microenvironment over genotype. Precision bioengineered substrata are limited to a few aspects, whereas cell/tissue-derived microenvironments have many undefined components. Thus, introducing a computational module may serve to integrate these types of platforms to create reasonable models of drug responses in human tissues. This review discusses how combinatorial microenvironment microarrays and other biomimetic microenvironments have revealed emergent properties of cells in particular microenvironmental contexts, the platforms that can measure phenotypic changes within those contexts, and the computational tools that can unify the microenvironment-imposed functional phenotypes with underlying constellations of proteins and genes. Ultimately we propose that a merger of these technologies will enable more accurate pre-clinical drug discovery.

Indexed as

AnimalsAntineoplastic AgentsCellular MicroenvironmentCombinatorial Chemistry TechniquesComputational BiologyForecastingHumansNeoplasmsTumor MicroenvironmentAntineoplastic AgentsCancerComputationMicroenvironmentTherapeutic response

Identifiers

PMID24582543
PMCPMC4019691
OpenAlexW2007552503

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.