Please cite Benzekry, S., Lamont, C., Beheshti, A., Tracz, A., Ebos, J. M. L., Hlatky, L., & Hahnfeldt, P. (2014). Classical mathematical models for description and prediction of experimental tumor growth. PLoS Computational Biology, 10(8), e1003800. http://doi.org/10.1371/journal.pcbi.1003800 Cell culture Murine Lewis lung carcinoma (LLC) cells, originally derived from a spontaneous tumor in a C57BL/6 mouse [1], were obtained from American Type Culture Collection (Manassas, VA). Tumor injections For the subcutaneous mouse syngeneic lung tumor model, C57BL/6 male mice with an average lifespan of 878 days were used [2]. At time of injection mice were 6 to 8 weeks old (Jackson Laboratory, Bar Harbor, Maine). Subcutaneous injections of 106 LLC cells in 0.2 ml phosphate-buffered saline (PBS) were performed on the caudal half of the back in anesthetized mice. Tumor measurements Tumor size was measured regularly with calipers to a maximum of 1.5 cm3 for the lung data set. Largest (L) and smallest (w) diameters were measured subcutaneously using calipers and the formula V = \(\frac{\pi}{6}w^2 L\) was then used to compute the volume (ellipsoid). Volumes ranged 14–1492 mm3 over time spans from 4 to 22 days for the lung tumor model (two experiments of 10 animals each). [1] Bertram JS, Janik P (1980) Establishment of a cloned line of Lewis Lung Carcinoma cells adapted to cell culture. Cancer Lett 11: 63–73. Available: http://www.ncbi.nlm.nih.gov/pubmed/7226139. Accessed 9 July 2013. [2] Kunstyr I, Leuenberger HG (1975) Gerontological data of C57BL/6J mice. I. Sex differences in survival curves. J Gerontol 30: 157–162. Available: http:// www.ncbi.nlm.nih.gov/pubmed/1123533. Accessed 9 July 2013.

{"references": ["Benzekry, S., Lamont, C., Beheshti, A., Tracz, A., Ebos, J. M. L., Hlatky, L., & Hahnfeldt, P. (2014). Classical mathematical models for description and prediction of experimental tumor growth. PLoS Computational Biology, 10(8), e1003800.", "Vaghi, C., Rodallec, A., Fanciullino, R., Ciccolini, J., Mochel, J. P., Mastri, M., Poignar, C., Ebos, J. ML & Benzekry, S. (2020). Population modeling of tumor growth curves and the reduced Gompertz model improve prediction of the age of experimental tumors. PLoS Computational Biology, 16(2), e1007178."]}