Evidence map›Paper›PMID 30902740›Full record

ArticleEBioMedicine2019

Patient-specific organotypic blood vessels as an in vitro model for anti-angiogenic drug response testing in renal cell carcinoma.

José A Jiménez-Torres, María Virumbrales-Muñoz, Kyung E Sung, Moon Hee Lee, E Jason Abel, David J Beebe

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

28 citing papers in PubMed, 41 citations in OpenAlex.

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  18. Toward improvedAPL bioengineering · 2021
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  19. Microfluidic Biomaterials.Advanced healthcare materials · 2021
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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

6 authors at 2 institutions in 1 country.

José A Jiménez-TorresDepartment of Biomedical Engineering, University of Wisconsin-Madison, 1451 Engineering Dr., Madison, WI 53706, United States of America; University of Wisconsin Carbone Cancer Center, Wisconsin Institutes for Medical Research, 1111 Highland Ave., Madison, WI 53705, United States of America.
María Virumbrales-MuñozDepartment of Biomedical Engineering, University of Wisconsin-Madison, 1451 Engineering Dr., Madison, WI 53706, United States of America; University of Wisconsin Carbone Cancer Center, Wisconsin Institutes for Medical Research, 1111 Highland Ave., Madison, WI 53705, United States of America.
Kyung E SungDivision of Cellular and Gene Therapies, Office of Tissues and Advanced Therapies, Center for Biologics Evaluation and Research, The U.S. Food and Drug Administration, Silver Spring, MD 20993, United States of America.
Moon Hee LeeDepartment of Urology, University of Wisconsin, School of Medicine and Public Health, 1111 Highland Ave., Madison, 53705, WI, United States of America.
E Jason AbelDepartment of Urology, University of Wisconsin, School of Medicine and Public Health, 1111 Highland Ave., Madison, 53705, WI, United States of America.
David J BeebeDepartment of Biomedical Engineering, University of Wisconsin-Madison, 1451 Engineering Dr., Madison, WI 53706, United States of America; University of Wisconsin Carbone Cancer Center, Wisconsin Institutes for Medical Research, 1111 Highland Ave., Madison, WI 53705, United States of America; Department of Pathology and Laboratory Medicine, University of Wisconsin, 1111 Highland Ave., Madison, 53705, WI, United States of America. Electronic address: djbeebe@wisc.edu.
University of Wisconsin–Madison · USCenter for Biologics Evaluation and Research · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
RESEARCH TRAINING IN HEMATOLOGYT32HL007899 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Jane Ellen Churpek · 1998 to 2026
$8.2M
An automated high-throughput tissue model for screening metastatic effectorsR01CA186134 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BEEBE, DAVID J · 2015 to 2019
$3.1M
Understanding cell migration through microscale in vitro modelsR01EB010039 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI BEEBE, DAVID J, HUTTENLOCHER, ANNA · 2011 to 2014
$1.7M
Area C: Functional microscale organotypic assays to predict patient response to anti-angiogenesis therapiesR33CA225281 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI ABEL, E JASON, BEEBE, DAVID J · 2017 to 2017
$1.5M
NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA186134NCI NIH HHS R33 CA225281NHLBI NIH HHS T32 HL007899NIBIB NIH HHS R01 EB010039
6 · The paper itself

Abstract

backgroundAnti-angiogenic treatment failure is often attributed to drug resistance, unsuccessful drug delivery, and tumor heterogeneity. Recent studies have speculated that anti-angiogenic treatments may fail due to characteristics inherent to tumor-associated blood vessels. Tumor-associated blood vessels are phenotypically different from their normal counterparts, having defective or permeable endothelial monolayers, abnormal sprouts, and abnormal vessel hierarchy. Therefore, to predict the efficacy of anti-angiogenic therapies in an individual patient, in vitro models that mirror individual patient's tumor vascular biology and response to anti-angiogenic treatment are needed.

methodsWe used a microfluidic in vitro organotypic model to create patient-specific biomimetic blood vessels from primary patient-specific tumor endothelial cells (TEnCs) and normal endothelial cells (NEnC). We assessed number of sprouts and vessel organization via microscopy imaging and image analysis. We characterized NEnC and TEnC vessel secretions via multiplex bead-based ELISA.

findingsUsing this model, we found that TEnC vessels exhibited more angiogenic sprouts than NEnC vessels. We also found a more disorganized and gap-filled endothelial monolayer. NEnCs and TEnC vessels exhibited heterogeneous functional drug responses across the five patients screened, as described in the clinic.

interpretationOur model recapitulated hallmarks of TEnCs and NEnCs found in vivo and captured the functional and structural differences between TEnC and NEnC vessels. This model enables a platform for therapeutic drug screening and assessing patient-specific responses with great potential to inform personalized medicine approaches.

fundingNIH grants R01 EB010039, R33 CA225281, R01CA186134 University of Wisconsin Carbone Cancer Center (CA014520), and University of Wisconsin Hematology training grant T32 HL07899.

Indexed as

Models, BiologicalNeovascularization, PathologicAngiogenesis InhibitorsAntineoplastic AgentsCarcinoma, Renal CellCell AdhesionCell Line, TumorCell MovementEndothelial CellsHumansImmunophenotypingKidney NeoplasmsMolecular ImagingPhenotypeAngiogenesis InhibitorsAntineoplastic AgentsAnti-angiogenicCarcinomaLumenModelOrganotypicRenal

Identifiers

PMID30902740
PMCPMC6491391
OpenAlexW2925085389

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.