Evidence map›Paper›PMID 29673279›Full record

ArticleSLAS discovery : advancing life sciences R & D2018

Advanced Development of Primary Pancreatic Organoid Tumor Models for High-Throughput Phenotypic Drug Screening.

Shurong Hou, Hervé Tiriac, Banu Priya Sridharan, Louis Scampavia, Franck Madoux, Jan Seldin, Glauco R Souza, Donald Watson, David Tuveson, Timothy P Spicer

Open access · hybridAbstract read
In one paragraph

Article in SLAS discovery : advancing life sciences R & D, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 2 pooled it
9.1field-weighted citation impact, top 1% 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

88 citing papers in PubMed, 2 syntheses or guidelines pooled it, 166 citations in OpenAlex.

  1. Pooled it
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  15. Organoid-based precision medicine in pancreatic cancer.United European gastroenterology journal · 2025
    Review
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28 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 1 country.

Shurong Hou1 The Scripps Research Institute Molecular Screening Center, Department of Molecular Medicine, Scripps Florida, Jupiter, FL, USA.
Hervé Tiriac2 Cancer Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
Banu Priya Sridharan1 The Scripps Research Institute Molecular Screening Center, Department of Molecular Medicine, Scripps Florida, Jupiter, FL, USA.
Louis Scampavia1 The Scripps Research Institute Molecular Screening Center, Department of Molecular Medicine, Scripps Florida, Jupiter, FL, USA.
Franck Madoux1 The Scripps Research Institute Molecular Screening Center, Department of Molecular Medicine, Scripps Florida, Jupiter, FL, USA.
Jan Seldin3 Greiner Bio-One North America, Inc., Monroe, NC, USA.
Glauco R Souza4 Nano3D Biosciences, Inc. and University of Texas Health Science Center at Houston, Houston, TX, USA.
Donald Watson5 Dana-Farber Cancer Institute, Boston, MA, USA.
David Tuveson2 Cancer Center, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.
Timothy P Spicer1 The Scripps Research Institute Molecular Screening Center, Department of Molecular Medicine, Scripps Florida, Jupiter, FL, USA.
Scripps Research Institute · USCold Spring Harbor Laboratory · USAmgen (United States) · USDana-Farber Cancer Institute · USNano3D Biosciences (United States) · US

Funding

Advanced Development and Validation of 3 Dimensional Spheroid Culture of Primary Cancer Cells using Nano3D TechnologyR33CA206949 · NCI · SCRIPPS FLORIDA · PI SPICER, TIMOTHY PATRICK · 2016 to 2019
$1.6M
NCI NIH HHS R33 CA206949
6 · The paper itself

Abstract

Traditional high-throughput drug screening in oncology routinely relies on two-dimensional (2D) cell models, which inadequately recapitulate the physiologic context of cancer. Three-dimensional (3D) cell models are thought to better mimic the complexity of in vivo tumors. Numerous methods to culture 3D organoids have been described, but most are nonhomogeneous and expensive, and hence impractical for high-throughput screening (HTS) purposes. Here we describe an HTS-compatible method that enables the consistent production of organoids in standard flat-bottom 384- and 1536-well plates by combining the use of a cell-repellent surface with a bioprinting technology incorporating magnetic force. We validated this homogeneous process by evaluating the effects of well-characterized anticancer agents against four patient-derived pancreatic cancer KRAS mutant-associated primary cells, including cancer-associated fibroblasts. This technology was tested for its compatibility with HTS automation by completing a cytotoxicity pilot screen of ~3300 approved drugs. To highlight the benefits of the 3D format, we performed this pilot screen in parallel in both the 2D and 3D assays. These data indicate that this technique can be readily applied to support large-scale drug screening relying on clinically relevant, ex vivo 3D tumor models directly harvested from patients, an important milestone toward personalized medicine.

Indexed as

Antineoplastic AgentsCell Line, TumorDrug Evaluation, PreclinicalDrug Screening Assays, AntitumorHigh-Throughput Screening AssaysHT29 CellsHumansOrganoidsPancreatic NeoplasmsPrecision MedicineAntineoplastic AgentscancerHTSorganoidpancreaticphenotypic

Identifiers

PMID29673279
PMCPMC6013403
OpenAlexW2801652358

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.