Properties of Tumor Spheroid Growth Exhibited by Simple Mathematical Models
Open accessAbstract
Solid tumors, whether in vitro or in vivo, are not an undifferentiated mass of cells. They include necrotic regions, regions of cells that are in a quiescent state (either slowly growing or not growing at all), and regions where cells proliferate rapidly. The decision of a cell to become quiescent or proliferating is thought to depend on both nutrient and oxygen availability and on the presence of tumor necrosis factor, a substance produced by necrotic cells that somehow inhibits the further growth of the tumor. Several different models have been suggested for the basic growth rate of in vitro tumor spheroids, and several different mechanisms are possible by which tumor necrosis factor might halt growth. The models predict the trajectory of growth for a virtual tumor, including proportions of the various components during its time evolution. In this paper we look at a range of hypotheses about basic rates tumor growth and the role of tumor necrotic factor, and determine what possible tumor growth patterns follow from each of twenty-five reasonable models. Proliferating, quiescent and necrotic cells are included, along with tumor necrosis factor as a potential inhibitor of growth in the proliferating pool and two way exchange between the quiescent and proliferating pools. We show that a range of observed qualitative properties of in vitro tumor spheroids at equilibrium are exhibited by one particular simple mathematical model, and discuss implications of this model for tumor growth.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The occurrence of the zone of senescence supports the suggestion that necrotic cells arise as quiescent cells die.
“The occurrence of this zone of senescence lends support to the suggestion that necrotic cells arising as quiescent cells die as noted by previous studies [51].”
From Direct Measurements of Oxygen Gradients in Spheroid Culture System Using Electron Parametric Resonance Oximetry (2016) · cites this paper as [51]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Analysis of growth of multicellular tumour spheroids by mathematical models.
Marušić, M., Bajzer, Ž., Freyer, J. P., & Vuk‐Pavlović, S. (1994) · Cell Proliferation · doi:10.1111/j.1365-2184.1994.tb01407.x · Cited by 203 · see citing works
Flagged first, then by citations
Research works printed but not linked: 31
- Adam J. A. (1986). A simplified mathematical model of tumor growth. Math. Biosci. 81, 229– 244 10.1016/0025-5564(86)90119-7 · DOI
- Adam J. A. (1987a). A mathematical model of tumor growth 2. Effects of geometry and spatial nonuniformity on stability. Math. Biosci. 86, 183– 211 10.1016/0025-5564(87)90011-3 · DOI
- Adam J. A. (1987b). A mathematical model of tumor growth 3. Comparison with experiment. Math. Biosci. 86, 213– 227 10.1016/0025-5564(87)90011-3 · DOI
- Bauer K. D. Keng P. C. Sutherland R. M. (1982). Isolation of quiescent cells from multicellular tumor spheroids using centrifugal elutriation. Cancer Res. 42, 72– 78 7032695
- Folkman J. Hochberg M. (1973). Self-regulation of growth in three dimensions. J. Exp. Med. 138, 745– 753 10.1084/jem.138.4.745 4744009 PMC2180571 · DOI · Paper page
- Freyer J. P. (1988). Role of necrosis in regulating the growth saturation of multicellular spheroids. Cancer Res. 48, 2432– 2439 3356007
- Frieboes H. B. Zheng X. Sun C.-H. Tromberg B. Gatenby R. Cristini V. (2006). An integrated computational/experimental model of tumor invasion. Cancer Res. 66, 1597– 1604 10.1158/0008-5472.CAN-05-3166 16452218 · DOI
- Gyllenberg M. Webb G. F. (1990). A nonlinear structured population model of tumor growth with quiescence. J. Math. Biol. 28, 671– 694 10.1007/BF00160231 2250141 · DOI
- Hahnfeldt P. Panigrahy D. Folkman J. Hlatky L. (1999). Tumor development under angiogenic signaling: a dynamical theory of tumor growth, treatment response, and postvascular dormancy. Cancer Res. 59, 4770– 4775 10519381
- Hirschhaeuser F. Menneb H. Dittfeld C. West J. Mueller-Klieser W. Kunz-Schughart L. A. (2010). Multicellular tumor spheroids: an underestimated tool is catching up again. J. Biotechnol. 148, 315 10.1016/j.jbiotec.2010.01.012 20097238 · DOI · Paper page
- Jiang Y. Pjesivac-Grbovic J. Cantrell C. Freyer J. P. (2005). A multiscale model for avascular tumor growth. Biophys. J. 89, 3884– 3894 10.1529/biophysj.105.060640 16199495 PMC1366955 · DOI
- Kallman R. F. Combs C. A. Franko A. J. Furlong B. M. Kelley S. D. Kemper H. L. (1982). “Evidence for the recruitment of noncycling clonogenic tumor cells,” in Radiation Biology in Cancer Research, Proceedings of the 32nd Annual Symposium on Fundamental Cancer Research, M. D. Anderson Hospital and Tumor Institute, eds Withers H. R. Meyn R. (New York: Raven Press) 397– 414
- Komorova N. L. Mironov V. (2005). On the role of endothelial progenitor cells in tumor neovascularization. J. Theor. Biol. 235, 338– 349 10.1016/j.jtbi.2005.01.014 15882696 · DOI
- Landry J. Freyer J. P. Sutherland R. M. (1982). A model for the growth of multicellular spheroids. Cell Tissue Kinet. 15, 585– 594 7172196
- Maggelakis S. A. Adam J. A. (1990). Mathematical model of prevascular growth of a spherical carcinoma. Math. Comput. Model. 13, 23– 28 10.1016/0895-7177(90)90040-T · DOI
- McElwain D. L. S. (1978). Re-examination of oxygen diffusion in a spherical cell with Michaelis-Menten oxygen uptake kinetics. J. Theor. Biol. 71, 255– 263 10.1016/0022-5193(78)90270-9 642528 · DOI
- McElwain D. L. S. Morris L. E. (1978). Apoptosis as a volume loss mechanism in mathematical models of solid tumor growth. Math. Biosci. 39, 147– 157 10.1016/0025-5564(78)90033-0 · DOI
- McElwain D. L. S. Ponzo P. J. (1977). Model for growth of a solid tumor with nonuniform oxygen-consumption. Math. Biosci. 35, 267– 279 10.1016/0025-5564(77)90028-1 · DOI
- Menchon S. A. Condat C. A. (2008). Cancer growth: predictions of a realistic model. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 78, 022901 10.1103/PhysRevE.78.022901 18850878 · DOI
- Menchon S. A. Condat C. A. (2009). Modeling tumor cell shedding. Eur. Biophys. J. 38, 479– 485 10.1007/s00249-008-0398-5 19132360 · DOI
- Piantadosi S. (1985). A model of growth with first-order birth and death rates. Comput. Biomed. Res. 18, 220– 232 10.1016/0010-4809(85)90047-3 4006448 · DOI
- Potmesil M. Goldfeder A. (1980). Cell kinetics of irradiated experimental tumors: cell transition from the nonproliferating to the proliferating pool. Cell Tissue Kinet. 15, 563– 570 7459983
- Preisler H. Walczak I. Renick J. Rustum Y. M. (1977). Separation of leukemic cells into proliferative and quiescent subpopulations by centrifugal elutriation. Cancer Res. 37, 3876– 3880 71201
- Sansone B. C. Scalerandi M. Condat C. A. (2001). Emergence of taxis and synergy in angiogenesis. Phys. Rev. Lett. 87, 128102 10.1103/PhysRevLett.87.128102 11580561 · DOI
- Santini M. T. Rainaldi G. Indovina P. L. (2000). Apoptosis, cell adhesion and the extracellular matrix in the three-dimensional growth of multicellular tumor spheroids. Crit. Rev. Oncol. Hematol. 36, 75– 87 10.1016/S1040-8428(00)00078-0 11033298 · DOI
- Scalerandi M. Sansone B. C. Condat C. A. (2001). Diffusion with evolving sources and competing sinks: development of angiogenesis. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 65, 011902 10.1103/PhysRevE.65.011902 11800713 · DOI
- Sherar M. D. Noss N. B. Foster F. S. (1987). Ultrasound backscatter microscopy images the internal structure of living tumour spheroids. Nature 330, 493– 495 10.1038/330493a0 3683563 · DOI
- Stamper I. J. Byrne H. M. Owen M. R. Maini P. K. (2007). Modelling the role of angiogenesis and vasculogenesis in solid tumour growth. Bull. Math. Biol. 69, 2737– 2772 10.1007/s11538-007-9253-6 17874270 · DOI
- Stein A. M. Demuth T. Mobley D. Berens M. Sander L. M. (2007). A mathematical model of glioblastoma tumor spheroid invasion in a three-dimensional in vitro experiment. Biophys. J. 92, 356– 365 10.1529/biophysj.106.093468 17040992 PMC1697862 · DOI
- Venkatasubramanian R. Henson M. A. Forbes N. S. (2006). Incorporating energy metabolism into a growth model of multicellular tumor spheroids. J. Theor. Biol. 242, 440– 453 10.1016/j.jtbi.2006.03.011 16650438 · DOI
- Wallace D. I. Winsor P. (2012). “Sensitive dependence on the threshold for TAF signaling in solid tumors,” in Proceedings of International Symposium on Mathematical and Computational Biology, BIOMAT 2011, ed. Mondaini R. (Singapore: World Scientific Publishing), 264– 278
Cited by
Sorted by citations
3D tumor models: History, advances and future perspectives
Benien, P., & Swami, A. (2014) · Future Oncology · doi:10.2217/fon.13.274 · Cited by 208 · see citing works
Langan, L. M., Dodd, N. J. F., Owen, S. F., Purcell, W. M., Jackson, S. K., & Jha, A. N. (2016) · PLOS ONE · doi:10.1371/journal.pone.0149492 · Cited by 101 · see citing works
Giverso, C., & Preziosi, L. (2019) · International Journal of Non-Linear Mechanics · doi:10.1016/j.ijnonlinmec.2018.10.005 · Cited by 27 · see citing works
- Authors
- Wallace, D. I., & Guo, X.
- Affiliations
- Dartmouth College (US)
- Corresponding author
- Wallace, Dorothy I.
- ORCID
- Wallace, Dorothy I.
- Venue
- Frontiers in Oncology
- Publisher
- Frontiers Media SA
- Published
- 2013
- Volume
- 3
- Pages
- 51-51
- ISSN
- 2234-943X (ISSN-L)
- PMC
- PMC3598098
- OpenAlex
- W1982782313
- Cited by
- 77
- References
- 1
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 2 · 2023: 5 · 2022: 6 · 2021: 18 · 2020: 4 · 2019: 7 · 2018: 8 · 2017: 4 · 2016: 5 · 2015: 5 · 2014: 2 · 2013: 1
- FWCI
- 4.51
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Oncology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
- Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
- Keywords
- tumor spheroids, solid tumor growth, TNF-α, quiescent cells, cell proliferation, growth inhibition
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review