DataMedAssist, HTW Dresden - University of Applied Sciences, Dresden, Germany.
Faculty of Informatics/Mathematics, HTW Dresden - University of Applied Sciences, Dresden, Germany.
PLoS Comput Biol. 2022 Aug 19;18(8):e1010403. doi: 10.1371/journal.pcbi.1010403. eCollection 2022 Aug.
Cancer development is a multistep process often starting with a single cell in which a number of epigenetic and genetic alterations have accumulated thus transforming it into a tumor cell. The progeny of such a single benign tumor cell expands in the tissue and can at some point progress to malignant tumor cells until a detectable tumor is formed. The dynamics from the early phase of a single cell to a detectable tumor with billions of tumor cells are complex and still not fully resolved, not even for the well-known prototype of multistage carcinogenesis, the adenoma-adenocarcinoma sequence of colorectal cancer. Mathematical models of such carcinogenesis are frequently tested and calibrated based on reported age-specific incidence rates of cancer, but they usually require calibration of four or more parameters due to the wide range of processes these models aim to reflect. We present a cell-based model, which focuses on the competition between wild-type and tumor cells in colonic crypts, with which we are able reproduce epidemiological incidence rates of colon cancer. Additionally, the fraction of cancerous tumors with precancerous lesions predicted by the model agree with clinical estimates. The correspondence between model and reported data suggests that the fate of tumor development is majorly determined by the early phase of tumor growth and progression long before a tumor becomes detectable. Due to the focus on the early phase of tumor development, the model has only a single fit parameter, the time scale set by an effective replacement rate of stem cells in the crypt. We find this effective rate to be considerable smaller than the actual replacement rate, which implies that the time scale is limited by the processes succeeding clonal conversion of crypts.
癌症的发展是一个多步骤的过程,通常始于一个细胞,其中积累了许多表观遗传和遗传改变,从而将其转化为肿瘤细胞。这种单一良性肿瘤细胞的后代在组织中扩张,并在某些时候可能进展为恶性肿瘤细胞,直到形成可检测的肿瘤。从单个细胞到具有数十亿个肿瘤细胞的可检测肿瘤的早期阶段的动态是复杂的,甚至对于众所周知的多阶段致癌作用原型——结直肠癌的腺瘤-腺癌序列,也尚未完全解决。此类致癌作用的数学模型通常根据报告的特定年龄癌症发病率进行测试和校准,但由于这些模型旨在反映的过程范围广泛,通常需要校准四个或更多参数。我们提出了一种基于细胞的模型,该模型侧重于结肠隐窝中野生型和肿瘤细胞之间的竞争,我们能够用该模型再现结肠癌的流行病学发病率。此外,模型预测的具有癌前病变的癌症肿瘤的比例与临床估计相符。模型与报告数据之间的一致性表明,肿瘤发展的命运主要取决于肿瘤生长和进展的早期阶段,而在此之前肿瘤尚未被检测到。由于该模型专注于肿瘤发展的早期阶段,因此只有一个拟合参数,即隐窝中干细胞有效替代率设定的时间尺度。我们发现这个有效率比实际替代率小得多,这意味着时间尺度受到继隐窝克隆转化之后的过程的限制。