Hyaline Cell-Rich Apocrine Mixed Tumor with Cytologic Atypia

Ohata, Chika

doi:10.1159/000492668

Cited by 2 publications

(1 citation statement)

References 15 publications

(44 reference statements)

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“…The uniform distribution (supplementary video 1A at https://ojs.ptbioch.edu.pl/index.php/ abp/) reflects the situation of in vitro experiments with two cancer lines mixed ex vivo whereupon serving as an inoculum for a new co-culture. It also reflects the socalled "mixed tumors" in which several types of histologically different cancer cells grow uniformly distributed (see, e.g., Ohata, 2018;Kurimoto et al, 2020). Because this is the simplest setup and it simulates the first step in mixed cancer culture examination, uniform distribution was chosen for this introductory paper.…”

Section: Modelmentioning

confidence: 99%

Growth of mixed cancer cell population – in silico the size matters

Kłos

Płonka

2020

Acta Biochim Pol

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Cancer heterogeneity is still underexplored and difficult to investigate. The whole network of factors engaged in tumor growth makes clinical cases, as well as the in vivo and in vitro experiments of limited use in terms of understanding cancer heterogeneity. Our idea was to start from scratch and focus on the simplest distinctive feature in a heterogeneous tumor, namely the cell size. To exclude any other factors, we created a rudimentary cellular automata model of mixed cancer culture with two lines of different cell sizes. We tested the model with various sets of parameters to explore how the cell size affects cancer co-culture growth. It turned out that the cell size plays a crucial role in in silico heterogeneous tumor growth. The dominance of bigger cells decreases the number of cells in the overall mixed cancer population. In contrast, the small cells increase the total number of cells, even without a parallel enlargement of the macroscopic tumor size. The predominance of the smaller cells is particularly visible in overcrowded conditions. Although our model was primarily designed for verification of experimental hypothesis and as a mean for better understanding of the cancer heterogeneity itself, it is as well of some practical value. Our findings can affect today’s practice of estimating tumor growth based on its macroscopic size and may propose a new approach to interpreting histological data. After modifications, the model may serve to test other factors affecting the growth of mixed populations of cancer cells differing in size.

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Section: Modelmentioning

confidence: 99%