Abstract
BackgroundCancer Tissue Heterogeneity is an important consideration in cancer research as it can give insights into the causes and progression of cancer. It is known to play a significant role in cancer cell survival, growth and metastasis. Determining the compositional breakup of a heterogeneous cancer tissue can also help address the therapeutic challenges posed by heterogeneity. This necessitates a low cost, scalable algorithm to address the challenge of accurate estimation of the composition of a heterogeneous cancer tissue.MethodsIn this paper, we propose an algorithm to tackle this problem by utilizing the data of accurate, but high cost, single cell line cell-by-cell observation methods in low cost aggregate observation method for heterogeneous cancer cell mixtures to obtain their composition in a Bayesian framework.ResultsThe algorithm is analyzed and validated using synthetic data and experimental data. The experimental data is obtained from mixtures of three separate human cancer cell lines, HCT116 (Colorectal carcinoma), A2058 (Melanoma) and SW480 (Colorectal carcinoma).ConclusionThe algorithm provides a low cost framework to determine the composition of heterogeneous cancer tissue which is a crucial aspect in cancer research.
Highlights
Cancer Tissue Heterogeneity is an important consideration in cancer research as it can give insights into the causes and progression of cancer
We look at the effect of two parameters - the similarity of attribute mean between the cell lines and variance on the performance of the algorithm
In this work we address the challenge of determining the composition of any heterogeneous cancer tissue
Summary
Cancer Tissue Heterogeneity is an important consideration in cancer research as it can give insights into the causes and progression of cancer. Determining the compositional breakup of a heterogeneous cancer tissue can help address the therapeutic challenges posed by heterogeneity. Cancer tissue heterogeneity is a very important aspect in cancer research with widespread implications. Some of the apparent influences of cancer tissue heterogeneity are inhibition of immune cell attacks on cancer, active construction of local blood flow to the cancer and stimulation of cancer cells’ epithelial to mesenchymal transition [3, 4]. These actions enable cancer cell survival, proliferation and metastasis.
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