Evidence map›Paper›PMID 33871006›Full record

ArticleGigaScience2021

High-throughput microscopy reveals the impact of multifactorial environmental perturbations on colorectal cancer cell growth.

Chun-Te Chiang, Roy Lau, Ahmadreza Ghaffarizadeh, Matthew Brovold, Dipen Vyas, Edwin F Juárez, Anthony Atala, David B Agus, Shay Soker, Paul Macklin and 2 more

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
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

12 authors at 2 institutions in 1 country.

Chun-Te ChiangLawrence J. Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA 90064, USA.
Roy LauLawrence J. Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA 90064, USA.
Ahmadreza GhaffarizadehLawrence J. Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA 90064, USA.
Matthew BrovoldWake Forest Institute for Regenerative Medicine, Winston-Salem, NC 27157, USA.
Dipen VyasWake Forest Institute for Regenerative Medicine, Winston-Salem, NC 27157, USA.
Edwin F JuárezLawrence J. Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA 90064, USA.
Anthony AtalaWake Forest Institute for Regenerative Medicine, Winston-Salem, NC 27157, USA.
David B AgusLawrence J. Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA 90064, USA.
Shay SokerWake Forest Institute for Regenerative Medicine, Winston-Salem, NC 27157, USA.
Paul MacklinLawrence J. Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA 90064, USA.
Daniel RudermanLawrence J. Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA 90064, USA.
Shannon M MumenthalerLawrence J. Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA 90064, USA.
University of Southern California · USForest Institute · US

Funding

(PQB6)An Integrative Computational and Bioengineered Tissue Model of MetastasisR01CA180149 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AGUS, DAVID B, ATALA, ANTHONY · 2013 to 2016
$2.3M
NCI NIH HHS R01 CA180149
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) mortality is principally due to metastatic disease, with the most frequent organ of metastasis being the liver. Biochemical and mechanical factors residing in the tumor microenvironment are considered to play a pivotal role in metastatic growth and response to therapy. However, it is difficult to study the tumor microenvironment systematically owing to a lack of fully controlled model systems that can be investigated in rigorous detail.

resultsWe present a quantitative imaging dataset of CRC cell growth dynamics influenced by in vivo-mimicking conditions. They consist of tumor cells grown in various biochemical and biomechanical microenvironmental contexts. These contexts include varying oxygen and drug concentrations, and growth on conventional stiff plastic, softer matrices, and bioengineered acellular liver extracellular matrix. Growth rate analyses under these conditions were performed via the cell phenotype digitizer (CellPD).

conclusionsOur data indicate that the growth of highly aggressive HCT116 cells is affected by oxygen, substrate stiffness, and liver extracellular matrix. In addition, hypoxia has a protective effect against oxaliplatin-induced cytotoxicity on plastic and liver extracellular matrix. This expansive dataset of CRC cell growth measurements under in situ relevant environmental perturbations provides insights into critical tumor microenvironment features contributing to metastatic seeding and tumor growth. Such insights are essential to dynamical modeling and understanding the multicellular tumor-stroma dynamics that contribute to metastatic colonization. It also establishes a benchmark dataset for training and testing data-driven dynamical models of cancer cell lines and therapeutic response in a variety of microenvironmental conditions.

Indexed as

Colorectal NeoplasmsExtracellular MatrixHumansMicroscopyTumor Microenvironmentcolorectal cancerhigh-content imagingliver metastasistumor microenvironment

Identifiers

PMID33871006
PMCPMC8054261
OpenAlexW3152895374

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.