A comparative survey of functional footprints of EGFR pathway mutations in human cancers
A Lane1, A Segura-Cabrera1, K Komurov2
1Division of Experimental Hematology and Cancer Biology, Cancer and Blood Diseases Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Abstract:
Genes functioning in epidermal growth factor receptor (EGFR) signaling pathways are among the most frequently activated oncogenes in human cancers. We have conducted a comparative analysis of functional footprints (that is, effect on signaling and transcriptional landscapes in cells) associated with oncogenic and tumor suppressor mutations in EGFR pathway genes in human cancers. We have found that mutations in the EGFR pathway differentially have an impact on signaling and metabolic pathways in cancer cells in a mutation- and tissue-selective manner. For example, although signaling and metabolic profiles of breast tumors with PIK3CA or AKT1 mutations are, as expected, highly similar, they display markedly different, sometimes even opposite, profiles to those with ERBB2 or EGFR amplifications. On the other hand, although low-grade gliomas and glioblastomas, both brain cancers, driven by EGFR amplifications are highly functionally similar, their functional footprints are significantly different from lung and breast tumors driven by EGFR or ERBB2. Overall, these observations argue that, contrary to expectations, the mechanisms of tumorigenicity associated with mutations in different genes along the same pathway, or in the same gene across different tissues, may be highly different. We present evidence that oncogenic functional footprints in cancer cell lines have significantly diverged from those in tumor tissues, which potentially explains the discrepancy of our findings with the current knowledge. Nevertheless, our analyses reveal a common inflammatory response signature in EGFR-driven human cancers of different tissue origins. Our results may have implications in the design of therapeutic strategies in cancers driven by these oncogenes.
Insights
Mutations in epidermal growth factor receptor (EGFR) pathway genes impact cancer signaling and metabolism differently based on the specific mutation and tissue type. Despite varied mechanisms, a common inflammatory signature is observed across EGFR-driven cancers.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Epidermal growth factor receptor (EGFR) signaling pathway genes are frequently activated oncogenes in human cancers.
- Understanding the functional consequences of mutations in these genes is crucial for cancer research and therapy.
Purpose of the Study:
- To comparatively analyze the functional footprints of oncogenic and tumor suppressor mutations in EGFR pathway genes across various human cancers.
- To investigate how mutation type and tissue origin influence the signaling and metabolic landscapes in cancer cells.
Main Methods:
- Comparative analysis of functional footprints, including signaling and transcriptional landscapes.
- Examination of mutation and tissue-specific effects on cellular pathways.
- Analysis of discrepancies between cancer cell lines and tumor tissues.
Main Results:
- EGFR pathway mutations exhibit mutation- and tissue-selective impacts on signaling and metabolic pathways.
- Functional profiles of PIK3CA/AKT1 mutations differ significantly from ERBB2/EGFR amplifications in breast tumors.
- EGFR amplifications in brain cancers show functional similarity, but differ from lung/breast tumors.
- Oncogenic functional footprints in cell lines diverge from those in tumor tissues.
- A common inflammatory response signature was identified in EGFR-driven cancers across different tissues.
Conclusions:
- Contrary to expectations, tumorigenicity mechanisms vary significantly based on gene mutations within the same pathway or the same gene across different tissues.
- Divergence between cell line and tumor tissue footprints may explain current knowledge discrepancies.
- The identified common inflammatory signature in EGFR-driven cancers offers potential therapeutic strategy implications.
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