Evidence map›Paper›PMID 26124098›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Drug-eluting microarrays to identify effective chemotherapeutic combinations targeting patient-derived cancer stem cells.

Matthew R Carstens, Robert C Fisher, Abhinav P Acharya, Elizabeth A Butterworth, Edward Scott, Emina H Huang, Benjamin G Keselowsky

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  12. Rapid phenotyping of cancer stem cells using multichannel nanosensor arrays.Nanomedicine : nanotechnology, biology, and medicine · 2018
    Article
  13. Review
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  16. Molecular diagnosis: Implications for ophthalmology.Progress in retinal and eye research · 2016
    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

7 authors at 3 institutions in 1 country.

Matthew R CarstensJ. Crayton Pruitt Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611;
Robert C FisherDepartment of Stem Cell Biology and Regenerative Medicine, Cleveland Clinic, Cleveland, OH 44195;
Abhinav P AcharyaDepartment of Bioengineering, University of California, Berkeley, CA 94720;
Elizabeth A ButterworthDepartment of Surgery, University of Florida, Gainesville, FL 32610;
Edward ScottDepartment of Molecular Genetics and Microbiology, University of Florida, Gainesville, FL 32610;
Emina H HuangDepartment of Stem Cell Biology and Regenerative Medicine, Cleveland Clinic, Cleveland, OH 44195; Department of Colorectal Surgery, Cleveland Clinic, Cleveland, OH 44195 huange2@ccf.org bkeselowsky@bme.ufl.edu.
Benjamin G KeselowskyJ. Crayton Pruitt Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611; huange2@ccf.org bkeselowsky@bme.ufl.edu.
University of Florida · USCleveland Clinic · USUniversity of California, Berkeley · US

Funding

Dendritic Cell-Targeting Microparticles for Subcellularly-Targeted Delivery of InR01DK091658 · NIDDK · UNIVERSITY OF FLORIDA · PI KESELOWSKY, BENJAMIN GEORGE · 2012 to 2016
$1.6M
The role of IL8 in colitis-associated tumor initiationR01CA157663 · NCI · UNIVERSITY OF FLORIDA · PI HUANG, EMINA HUI-NA · 2012 to 2016
$1.6M
Biomaterial Delivery System for Type 1 Diabetes VaccineR01DK098589 · NIDDK · UNIVERSITY OF FLORIDA · PI KESELOWSKY, BENJAMIN GEORGE · 2014 to 2017
$1.5M
The role of the colitic stem cell niche in oncogenesisR01CA142808 · NCI · UNIVERSITY OF FLORIDA · PI HUANG, EMINA HUI-NA · 2010 to 2014
$1.5M
High-Throughput Evaluation of Dendritic Cell-Targeting Vaccine Particles for theR21AI094360 · NIAID · UNIVERSITY OF FLORIDA · PI KESELOWSKY, BENJAMIN GEORGE · 2012 to 2013
$388k
NCI NIH HHS R01 CA142808NCI NIH HHS R01 CA157663NIAID NIH HHS R21 AI094360NIDDK NIH HHS R01 DK091658NIDDK NIH HHS R01 DK098589NIDDK NIH HHS R01 DK098589
6 · The paper itself

Abstract

A new paradigm in oncology establishes a spectrum of tumorigenic potential across the heterogeneous phenotypes within a tumor. The cancer stem cell hypothesis postulates that a minute fraction of cells within a tumor, termed cancer stem cells (CSCs), have a tumor-initiating capacity that propels tumor growth. An application of this discovery is to target this critical cell population using chemotherapy; however, the process of isolating these cells is arduous, and the rarity of CSCs makes it difficult to test potential drug candidates in a robust fashion, particularly for individual patients. To address the challenge of screening drug libraries on patient-derived populations of rare cells, such as CSCs, we have developed a drug-eluting microarray, a miniaturized platform onto which a minimal quantity of cells can adhere and be exposed to unique treatment conditions. Hundreds of drug-loaded polymer islands acting as drug depots colocalized with adherent cells are surrounded by a nonfouling background, creating isolated culture environments on a solid substrate. Significant results can be obtained by testing <6% of the cells required for a typical 96-well plate. Reliability was demonstrated by an average coefficient of variation of 14% between all of the microarrays and 13% between identical conditions within a single microarray. Using the drug-eluting array, colorectal CSCs isolated from two patients exhibited unique responses to drug combinations when cultured on the drug-eluting microarray, highlighting the potential as a prognostic tool to identify personalized chemotherapeutic regimens targeting CSCs.

Indexed as

Drug Delivery SystemsAgedAntineoplastic Combined Chemotherapy ProtocolsColorectal NeoplasmsHumansMiddle AgedNeoplastic Stem CellsTumor Cells, Culturedcancer stem cellchemopredictivecombination therapymicroarraypersonalized medicine

Identifiers

PMID26124098
PMCPMC4507198
OpenAlexW1932267754

What OpenQuestion holds

Textmetadata
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.