Literature DB >> 33649456

Frequency-dependent interactions determine outcome of competition between two breast cancer cell lines.

Audrey R Freischel1,2, Mehdi Damaghi3, Jessica J Cunningham4,5, Arig Ibrahim-Hashim4, Robert J Gillies4, Robert A Gatenby4,5, Joel S Brown4,5.   

Abstract

Tumors are highly dynamic ecosystems in which diverse cancer cell subpopulations compete for space and resources. These complex, often non-linear interactions govern continuous spatial and temporal changes in the size and phenotypic properties of these subpopulations. Because intra-tumoral blood flow is often chaotic, competition for resources may be a critical selection factor in progression and prognosis. Here, we quantify resource competition using 3D spheroid cultures with MDA-MB-231 and MCF-7 breast cancer cells. We hypothesized that MCF-7 cells, which primarily rely on efficient aerobic glucose metabolism, would dominate the population under normal pH and low glucose conditions; and MDA-MB-231 cells, which exhibit high levels of glycolytic metabolism, would dominate under low pH and high glucose conditions. In spheroids with single populations, MCF-7 cells exhibited equal or superior intrinsic growth rates (density-independent measure of success) and carrying capacities (density-dependent measure of success) when compared to MDA-MB-231 cells under all pH and nutrient conditions. Despite these advantages, when grown together, MCF-7 cells do not always outcompete MDA-MB-231 cells. MDA-MB-231 cells outcompete MCF-7 cells in low glucose conditions and coexistence is achieved in low pH conditions. Under all conditions, MDA-MB-231 has a stronger competitive effect (frequency-dependent interaction) on MCF-7 cells than vice-versa. This, and the inability of growth rate or carrying capacity when grown individually to predict the outcome of competition, suggests a reliance on frequency-dependent interactions and the need for competition assays. We frame these results in a game-theoretic (frequency-dependent) model of cancer cell interactions and conclude that competition assays can demonstrate critical density-independent, density-dependent and frequency-dependent interactions that likely contribute to in vivo outcomes.

Entities:  

Mesh:

Year:  2021        PMID: 33649456      PMCID: PMC7921689          DOI: 10.1038/s41598-021-84406-3

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  46 in total

1.  Analysis of growth of multicellular tumour spheroids by mathematical models.

Authors:  M Marusić; Z Bajzer; J P Freyer; S Vuk-Pavlović
Journal:  Cell Prolif       Date:  1994-02       Impact factor: 6.831

Review 2.  Resource pulses, species interactions, and diversity maintenance in arid and semi-arid environments.

Authors:  Peter Chesson; Renate L E Gebauer; Susan Schwinning; Nancy Huntly; Kerstin Wiegand; Morgan S K Ernest; Anna Sher; Ariel Novoplansky; Jake F Weltzin
Journal:  Oecologia       Date:  2004-04-07       Impact factor: 3.225

3.  Type, density, and location of immune cells within human colorectal tumors predict clinical outcome.

Authors:  Jérôme Galon; Anne Costes; Fatima Sanchez-Cabo; Amos Kirilovsky; Bernhard Mlecnik; Christine Lagorce-Pagès; Marie Tosolini; Matthieu Camus; Anne Berger; Philippe Wind; Franck Zinzindohoué; Patrick Bruneval; Paul-Henri Cugnenc; Zlatko Trajanoski; Wolf-Herman Fridman; Franck Pagès
Journal:  Science       Date:  2006-09-29       Impact factor: 47.728

Review 4.  Multicellular tumor spheroids: an underestimated tool is catching up again.

Authors:  Franziska Hirschhaeuser; Heike Menne; Claudia Dittfeld; Jonathan West; Wolfgang Mueller-Klieser; Leoni A Kunz-Schughart
Journal:  J Biotechnol       Date:  2010-01-25       Impact factor: 3.307

5.  Spatial Heterogeneity and Evolutionary Dynamics Modulate Time to Recurrence in Continuous and Adaptive Cancer Therapies.

Authors:  Jill A Gallaher; Pedro M Enriquez-Navas; Kimberly A Luddy; Robert A Gatenby; Alexander R A Anderson
Journal:  Cancer Res       Date:  2018-01-30       Impact factor: 12.701

6.  Darwinian Dynamics of Intratumoral Heterogeneity: Not Solely Random Mutations but Also Variable Environmental Selection Forces.

Authors:  Mark C Lloyd; Jessica J Cunningham; Marilyn M Bui; Robert J Gillies; Joel S Brown; Robert A Gatenby
Journal:  Cancer Res       Date:  2016-03-23       Impact factor: 12.701

Review 7.  Targeting tumor cell motility as a strategy against invasion and metastasis.

Authors:  Alan Wells; Jelena Grahovac; Sarah Wheeler; Bo Ma; Douglas Lauffenburger
Journal:  Trends Pharmacol Sci       Date:  2013-04-06       Impact factor: 14.819

8.  Resource competition promotes tumour expansion in experimentally evolved cancer.

Authors:  Tiffany B Taylor; Anastasia V Wass; Louise J Johnson; Phil Dash
Journal:  BMC Evol Biol       Date:  2017-12-27       Impact factor: 3.260

9.  Neighborhood size-effects shape growing population dynamics in evolutionary public goods games.

Authors:  Gregory J Kimmel; Philip Gerlee; Joel S Brown; Philipp M Altrock
Journal:  Commun Biol       Date:  2019-02-05

10.  Molecular profiling of breast cancer cell lines defines relevant tumor models and provides a resource for cancer gene discovery.

Authors:  Jessica Kao; Keyan Salari; Melanie Bocanegra; Yoon-La Choi; Luc Girard; Jeet Gandhi; Kevin A Kwei; Tina Hernandez-Boussard; Pei Wang; Adi F Gazdar; John D Minna; Jonathan R Pollack
Journal:  PLoS One       Date:  2009-07-03       Impact factor: 3.240

View more
  2 in total

Review 1.  The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer.

Authors:  Benjamin Wölfl; Hedy Te Rietmole; Monica Salvioli; Artem Kaznatcheev; Frank Thuijsman; Joel S Brown; Boudewijn Burgering; Kateřina Staňková
Journal:  Dyn Games Appl       Date:  2021-08-30       Impact factor: 1.296

Review 2.  Cancer heterogeneity and metastasis: life at the edge.

Authors:  Robert J Gillies
Journal:  Clin Exp Metastasis       Date:  2021-05-17       Impact factor: 5.150

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.