Evidence map›Paper›PMID 31904094›Full record

ArticleCarcinogenesis2020

A comprehensive in vivo and mathematic modeling-based kinetic characterization for aspirin-induced chemoprevention in colorectal cancer.

Tadanobu Shimura, Shusuke Toden, Natalia L Komarova, Crichard Boland, Dominik Wodarz, Ajay Goel

Open access · greenAbstract read
In one paragraph

Article in Carcinogenesis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Aspirin and the chemoprevention of cancers: A mathematical and evolutionary dynamics perspective.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  10. 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

6 authors at 2 institutions in 1 country.

Tadanobu ShimuraCenter for Gastrointestinal Research, Center from Translational Genomics and Oncology, Baylor Scott and White Research Institute and Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, TX, USA.
Shusuke TodenCenter for Gastrointestinal Research, Center from Translational Genomics and Oncology, Baylor Scott and White Research Institute and Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, TX, USA.
Natalia L KomarovaDepartment of Mathematics, University of California, Irvine, CA, USA.
Crichard BolandCenter for Gastrointestinal Research, Center from Translational Genomics and Oncology, Baylor Scott and White Research Institute and Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, TX, USA.
Dominik WodarzDepartment of Population Health and Disease Prevention Program in Public Health Susan and Henry Samueli College of Health Sciences and Department of Mathematics, University of California, Irvine, CA, USA.
Ajay GoelCenter for Gastrointestinal Research, Center from Translational Genomics and Oncology, Baylor Scott and White Research Institute and Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, TX, USA.
Baylor University Medical Center · USUniversity of California, Irvine · US

Funding

The Biology and Diagnosis of HNPCCR01CA072851 · NCI · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI GOEL, AJAY · 1996 to 2019
$6.6M
Aspirin and Cancer Prevention in Lynch Syndrome: From Cell to Population DataU01CA187956 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY, WODARZ, DOMINIK F · 2014 to 2018
$2.7M
MicroRNA Biomarkers for Determining Treatment Response in Colorectal CancerR01CA202797 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2016 to 2020
$1.9M
Development of microRNA Biomarkers For Noninvasive Detection of Colorectal CancerR01CA184792 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY · 2015 to 2019
$1.8M
NCI NIH HHS R01 CA072851NCI NIH HHS R01 CA184792NCI NIH HHS R01 CA202797NCI NIH HHS U01 CA187956
6 · The paper itself

Abstract

Accumulating evidence suggests that aspirin has anti-tumorigenic properties in colorectal cancer (CRC). Herein, we undertook a comprehensive and systematic series of in vivo animal experiments followed by 3D-mathematical modeling to determine the kinetics of aspirin's anti-cancer effects on CRC growth. In this study, CRC xenografts were generated using four CRC cell lines with and without PIK3CA mutations and microsatellite instability, and the animals were administered with various aspirin doses (0, 15, 50, and 100 mg/kg) for 2 weeks. Cell proliferation, apoptosis and protein expression were evaluated, followed by 3D-mathematical modeling analysis to estimate cellular division and death rates and their impact on aspirin-mediated changes on tumor growth. We observed that aspirin resulted in a dose-dependent decrease in the cell division rate, and a concomitant increase in the cell death rates in xenografts from all cell lines. Aspirin significantly inhibited cell proliferation as measured by Ki67 staining (P < 0.05-0.01). The negative effect of aspirin on the rate of tumor cell proliferation was more significant in xenograft tumors derived from PIK3CA mutant versus wild-type cells. A computational model of 3D-tumor growth suggests that the growth inhibitory effect of aspirin on the tumor growth kinetics is due to a reduction of tumor colony formation, and that this effect is sufficiently strong to be an important contributor to the reduction of CRC incidence in aspirin-treated patients. In conclusion, we provide a detailed kinetics of aspirin-mediated inhibition of tumor cell proliferation, which support the epidemiological data for the observed protective effect of aspirin in CRC patients.

Indexed as

Cell ProliferationModels, TheoreticalAnimalsAnti-Inflammatory Agents, Non-SteroidalApoptosisAspirinColorectal NeoplasmsHumansKineticsMaleMiceMice, NudeTumor Cells, CulturedXenograft Model Antitumor AssaysAnti-Inflammatory Agents, Non-SteroidalAspirin

Identifiers

PMID31904094
PMCPMC7351132
OpenAlexW3000409438

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.