Department of Mathematics and Center for Scientific Computation and Mathematical Modeling (CSCAMM), University of Maryland, College Park, MD, 20742, USA.
Division of Newborn Medicine and Epigenetics Program, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Bull Math Biol. 2021 Jan 12;83(2):15. doi: 10.1007/s11538-020-00842-8.
LSD1 (KDMA1) has gained attention in the last decade as a cancer biomarker and drug target. In particular, recent work suggests that LSD1 inhibition alone reduces tumor growth, increases T cell tumor infiltration, and complements PD1/PDL1 checkpoint inhibitor therapy. In order to elucidate the immunogenic effects of LSD1 inhibition, we develop a mathematical model of tumor growth under the influence of the adaptive immune response. In particular, we investigate the anti-tumor cytotoxicity of LSD1-mediated T cell dynamics, in order to better understand the synergistic potential of LSD1 inhibition in combination immunotherapies, including checkpoint inhibitors. To that end, we formulate a non-spatial delay differential equation model and fit to the B16 mouse model data from Sheng et al. (Cell 174(3):549-563, 2018. https://doi.org/10.1016/j.cell.2018.05.052 ). Our results suggest that the immunogenic effect of LSD1 inhibition accelerates anti-tumor cytotoxicity. However, cytotoxicity does not seem to account for the slower growth observed in LSD1-inhibited tumors, despite evidence suggesting immune-mediation of this effect.
赖氨酸特异性去甲基化酶 1(KDMA1)作为癌症生物标志物和药物靶点在过去十年中受到关注。特别是,最近的研究表明,单独抑制 LSD1 不仅可以减少肿瘤生长,增加 T 细胞肿瘤浸润,还可以补充 PD1/PDL1 检查点抑制剂治疗。为了阐明 LSD1 抑制的免疫原性效应,我们开发了一个受适应性免疫反应影响的肿瘤生长的数学模型。具体来说,我们研究了 LSD1 介导的 T 细胞动力学的抗肿瘤细胞毒性,以更好地理解 LSD1 抑制与免疫疗法(包括检查点抑制剂)联合应用的协同潜力。为此,我们构建了一个非空间时滞微分方程模型,并拟合 Sheng 等人的 B16 小鼠模型数据(Cell 174(3):549-563, 2018. https://doi.org/10.1016/j.cell.2018.05.052)。我们的结果表明,LSD1 抑制的免疫原性效应加速了抗肿瘤细胞毒性。然而,尽管有证据表明这种效应是免疫介导的,但细胞毒性似乎并不能解释 LSD1 抑制肿瘤中观察到的生长缓慢。