TY - JOUR
T1 - Systems biology approaches to measure and model phenotypic heterogeneity in cancer
AU - Meyer, Aaron S.
AU - Heiser, Laura M.
N1 - Funding Information:
This work was supported by National Cancer Institute grants U54 CA209988 (L.M.H.) U01-CA215709 (A.S.M.) and National Institute of Health grants U54HG008100 (L.M.H.) DP5-OD01981 (A.S.M.) This work was also supported by the Jayne Koskinas Ted Giovanis Foundation for Health and Policy and the Breast Cancer Research Foundation, private foundations committed to critical funding of cancer research. The opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and not necessarily those of the Jayne Koskinas Ted Giovanis Foundation for Health and Policy, the Breast Cancer Research Foundation, the National Institutes of Health, or their respective directors, officers, or staffs.
Funding Information:
This work was supported by National Cancer Institute grants U54 CA209988 (L.M.H.) U01-CA215709 (A.S.M.) and National Institute of Health grants U54HG008100 (L.M.H.) DP5-OD01981 (A.S.M.) This work was also supported by the Jayne Koskinas Ted Giovanis Foundation for Health and Policy and the Breast Cancer Research Foundation , private foundations committed to critical funding of cancer research. The opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and not necessarily those of the Jayne Koskinas Ted Giovanis Foundation for Health and Policy , the Breast Cancer Research Foundation , the National Institutes of Health , or their respective directors, officers, or staffs.
PY - 2019/10
Y1 - 2019/10
N2 - The recent wide-spread adoption of single-cell profiling technologies has revealed that individual cancers are not homogenous collections of deregulated cells, but instead comprise multiple genetically and phenotypically distinct cell subpopulations that exhibit a wide range of responses to extracellular signals and therapeutic insult. Such observations point to the urgent need to understand cancer as a complex, adaptive system. Cancer systems biology studies seek to develop the experimental and theoretical methods required to understand how biological components work together to determine how cancer cells function. Ultimately, such approaches will lead to improvements in how cancer is managed and treated. In this review, we discuss recent advances in cancer systems biology approaches to quantify, model, and elucidate mechanisms of heterogeneity.
AB - The recent wide-spread adoption of single-cell profiling technologies has revealed that individual cancers are not homogenous collections of deregulated cells, but instead comprise multiple genetically and phenotypically distinct cell subpopulations that exhibit a wide range of responses to extracellular signals and therapeutic insult. Such observations point to the urgent need to understand cancer as a complex, adaptive system. Cancer systems biology studies seek to develop the experimental and theoretical methods required to understand how biological components work together to determine how cancer cells function. Ultimately, such approaches will lead to improvements in how cancer is managed and treated. In this review, we discuss recent advances in cancer systems biology approaches to quantify, model, and elucidate mechanisms of heterogeneity.
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U2 - 10.1016/j.coisb.2019.09.002
DO - 10.1016/j.coisb.2019.09.002
M3 - Review article
AN - SCOPUS:85073030446
VL - 17
SP - 35
EP - 40
JO - Current Opinion in Systems Biology
JF - Current Opinion in Systems Biology
SN - 2452-3100
ER -