Modeling differentiation-state transitions linked to therapeutic escape in triple-negative breast cancer
We report several statistically significant therapy-induced changes in transition rates bet ween basal, luminal, mesenchymal, and non-basal/non-luminal/non-mesenchymal differentiation states in HCC1143 cell populations. Moreover, we validate model predictions on cell division and cell death empirically, and we test our models on an independent data set. Overall, we demonstrate that changes in differentiation-state transition rates induced by targeted therapy can provoke distinct differentiation-state aggregations of drug-resistant cells, which may be fundamental to the design of improved therapeutic regimens for cancers with phenotypic heterogeneity.
Source: PLoS Computational Biology - Category: Biology Authors: Margaret P. Chapman Source Type: research
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