Evidence map›Paper›PMID 31020445›Full record

ArticleAnnals of biomedical engineering2020

Development of a Colorectal Cancer 3D Micro-tumor Construct Platform From Cell Lines and Patient Tumor Biospecimens for Standard-of-Care and Experimental Drug Screening.

Steven Forsythe, Naren Mehta, Mahesh Devarasetty, Hemamylammal Sivakumar, William Gmeiner, Shay Soker, Konstantinos Votanopoulos, Aleksander Skardal

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.5field-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

26 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  7. Tumor Organoid as a Drug Screening Platform for Cancer Research.Current stem cell research & therapy · 2024
    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

8 authors at 2 institutions in 1 country.

Steven ForsytheDepartment of Cancer Biology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.
Naren MehtaWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, 391 Technology Way, Winston-Salem, NC, 27101, USA.
Mahesh DevarasettyWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, 391 Technology Way, Winston-Salem, NC, 27101, USA.
Hemamylammal SivakumarWake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, 391 Technology Way, Winston-Salem, NC, 27101, USA.
William GmeinerDepartment of Cancer Biology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.
Shay SokerDepartment of Cancer Biology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.
Konstantinos VotanopoulosComprehensive Cancer Center at Wake Forest Baptist Medical, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.
Aleksander SkardalDepartment of Cancer Biology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA. askardal@wakehealth.edu.ORCID http://orcid.org/0000-0002-2138-2453
Forest Institute · USAtrium Health Wake Forest Baptist · US

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Studies in Translational Regenerative MedicineT32EB014836 · NIBIB · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ANTHONY ATALA, Victoria Weis · 2013 to 2026
$1.7M
Development of a CF10 Predictive Gene Signature in CRC Organoids.R21CA218933 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI GMEINER, WILLIAM H. · 2018 to 2019
$366k
NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1TR001420NCI NIH HHS P30 CA012197NCI NIH HHS P30CA012197NCI NIH HHS R21 CA218933NIBIB NIH HHS T32 EB014836
6 · The paper itself

Abstract

Colorectal cancer is subject to a high rate of mutations, with late stage tumors often containing many mutations. These tumors are difficult to treat, and even with the recently implemented methods of personalized medicine at modern hospitals aiming to narrow treatments, a gap still exists. Proper modeling of these tumors may help to recommend optimal treatments for individual patients, preferably utilizing a model that maintains proper signaling in respect to the derived parent tissue. In this study, we utilized an extracellular matrix-derived hydrogel to create a 3D micro-tumor construct platform capable of both supporting cells for long time durations and for high throughput drug screening. Experiments with cell lines demonstrated long-term viability with maintenance of cell proliferation. Furthermore, studies with several chemotherapeutics utilizing different mechanisms of action displayed differences in efficacy in comparing 3D and 2D cultures. Finally, patient colorectal tumor tissue was acquired and employed to reconstruct micro-tumor constructs, providing a system for the testing of novel chemotherapeutics against tumors in a patient-specific manner. Collectively, the results describe a system capable of high throughput testing while maintaining important characteristics of the parent tissue.

Indexed as

Drug Screening Assays, AntitumorAntineoplastic AgentsCell Line, TumorCell SurvivalColorectal NeoplasmsHumansHydrogelsPrecision MedicineTissue EngineeringAntineoplastic AgentsHydrogelsCancer modelsEx vivoIn vitroOrganoidsPersonalized medicinePrecision medicine

Identifiers

PMID31020445
PMCPMC6813880
OpenAlexW2942158182

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.