Evidence map›Paper›PMID 32938640›Full record

ArticleCancer research2020

Integrating Mathematical Modeling with High-Throughput Imaging Explains How Polyploid Populations Behave in Nutrient-Sparse Environments.

Gregory J Kimmel, Mark Dane, Laura M Heiser, Philipp M Altrock, Noemi Andor

Abstract read
In one paragraph

Article in Cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. 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

5 authors.

Gregory J KimmelDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida.
Mark DaneDepartment of Biomedical Engineering, OHSU Center for Spatial Systems Biomedicine, Knight Cancer Institute, Oregon Health & Sciences University, Portland, Oregon.ORCID 0000-0003-3742-9866
Laura M HeiserDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0003-3330-0950
Philipp M AltrockDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0001-7731-3345
Noemi AndorDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida. noemi.andor@moffitt.org.

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
OutreachU54HG008100 · NHGRI · OREGON HEALTH & SCIENCE UNIVERSITY · PI GRAY, JOE W., HEISER, LAURA MADELINE · 2014 to 2019
$10.5M
Understanding the Impact of Microscale and Nanoscale Heterogeneity and ResistanceU54CA209988 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI SEARS, ROSALIE C · 2017 to 2021
$10.3M
A clone's genomic stability as biomarker of its DNA-damage resilienceR00CA215256 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDOR, NOEMI · 2019 to 2021
$747k
NCI NIH HHS P30 CA076292NCI NIH HHS R00 CA215256NCI NIH HHS U54 CA209988NHGRI NIH HHS U54 HG008100
6 · The paper itself

Abstract

Breast cancer progresses in a multistep process from primary tumor growth and stroma invasion to metastasis. Nutrient-limiting environments promote chemotaxis with aggressive morphologies characteristic of invasion. It is unknown how coexisting cells differ in their response to nutrient limitations and how this impacts invasion of the metapopulation as a whole. In this study, we integrate mathematical modeling with microenvironmental perturbation data to investigate invasion in nutrient-limiting environments inhabited by one or two cancer cell subpopulations. Subpopulations were defined by their energy efficiency and chemotactic ability. Invasion distance traveled by a homogeneous population was estimated. For heterogeneous populations, results suggest that an imbalance between nutrient efficacy and chemotactic superiority accelerates invasion. Such imbalance will spatially segregate the two populations and only one type will dominate at the invasion front. Only if these two phenotypes are balanced, the two subpopulations compete for the same space, which decelerates invasion. We investigate ploidy as a candidate biomarker of this phenotypic heterogeneity and discuss its potential to inform the dose of mTOR inhibitors (mTOR-I) that can inhibit chemotaxis just enough to facilitate such competition. SIGNIFICANCE: This study identifies the double-edged sword of high ploidy as a prerequisite to personalize combination therapies with cytotoxic drugs and inhibitors of signal transduction pathways such as mTOR-Is. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/80/22/5109/F1.large.jpg.

Indexed as

Models, TheoreticalNutrientsPolyploidyAlgorithmsBreast NeoplasmsCarcinoma, Ductal, BreastCell Line, TumorCellular MicroenvironmentChemotaxisCytotoxinsEnergy MetabolismFemaleGenomicsHumansNeoplasm InvasivenessPhenotypeCytotoxinsMTOR protein, humanNutrientsTOR Serine-Threonine Kinases

Identifiers

PMID32938640
PMCPMC7671819

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.