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Analysis of growth factor signaling in genetically diverse breast cancer lines
Mario Niepel, Marc Hafner, Emily A Pace
1HMS LINCS Center, Department of Systems Biology, Harvard Medical School, 200 Longwood Ave, WAB 444, Boston, MA 02115, USA. bschoeberl@merrimackpharma.com.
Background:
Soluble growth factors present in the microenvironment play a major role in tumor development, invasion, metastasis, and responsiveness to targeted therapies. While the biochemistry of growth factor-dependent signal transduction has been studied extensively in individual cell types, relatively little systematic data are available across genetically diverse cell lines.
Results:
We describe a quantitative and comparative dataset focused on immediate-early signaling that regulates the AKT (AKT1/2/3) and ERK (MAPK1/3) pathways in a canonical panel of well-characterized breast cancer lines. We also provide interactive web-based tools to facilitate follow-on analysis of the data. Our findings show that breast cancers are diverse with respect to ligand sensitivity and signaling biochemistry. Surprisingly, triple negative breast cancers (TNBCs; which express low levels of ErbB2, progesterone and estrogen receptors) are the most broadly responsive to growth factors and HER2amp cancers (which overexpress ErbB2) the least. The ratio of ERK to AKT activation varies with ligand and subtype, with a systematic bias in favor of ERK in hormone receptor positive (HR+) cells. The factors that correlate with growth factor responsiveness depend on whether fold-change or absolute activity is considered the key biological variable, and they differ between ERK and AKT pathways.
Conclusions:
Responses to growth factors are highly diverse across breast cancer cell lines, even within the same subtype. A simple four-part heuristic suggests that diversity arises from variation in receptor abundance, an ERK/AKT bias that depends on ligand identity, a set of factors common to all receptors that varies in abundance or activity with cell line, and an "indirect negative regulation" by ErbB2. This analysis sets the stage for the development of a mechanistic and predictive model of growth factor signaling in diverse cancer lines. Interactive tools for looking up these results and downloading raw data are available at http://lincs.hms.harvard.edu/niepel-bmcbiol-2014/.
Insights
Breast cancer cell signaling is highly diverse, with triple-negative breast cancers showing broad responsiveness to growth factors. This variability impacts tumor development and treatment strategies.
Area of Science:
- Cancer Biology
- Molecular Signaling
- Genomics
Background:
- Soluble growth factors in the tumor microenvironment are critical for cancer progression and therapy response.
- Existing research on growth factor signaling pathways is limited in scope across diverse cancer cell types.
Purpose of the Study:
- To create a quantitative, comparative dataset of immediate-early signaling in breast cancer.
- To analyze AKT and ERK pathway activation across genetically diverse breast cancer cell lines.
Main Methods:
- Quantitative analysis of AKT (AKT1/2/3) and ERK (MAPK1/3) pathway signaling.
- Comparative study across a panel of well-characterized breast cancer cell lines.
- Development of interactive web-based tools for data analysis.
Main Results:
- Breast cancers exhibit significant diversity in ligand sensitivity and signaling biochemistry.
- Triple-negative breast cancers (TNBCs) are broadly responsive to growth factors; HER2-amplified cancers are least responsive.
- The ERK/AKT activation ratio varies by ligand and subtype, with a bias towards ERK in hormone receptor-positive (HR+) cells.
Conclusions:
- Growth factor responses are highly diverse even within breast cancer subtypes.
- Diversity is attributed to receptor abundance, ligand-dependent ERK/AKT bias, cell-line specific factors, and ErbB2-mediated negative regulation.
- This work provides a foundation for predictive models of growth factor signaling in cancer.
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