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Published on: April 6, 2016
Effects of cancer-associated EPHA3 mutations on lung cancer
Guanglei Zhuang1, Wenqiang Song, Katherine Amato
1Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Background:
Cancer genome sequencing efforts recently identified EPHA3, which encodes the EPHA3 receptor tyrosine kinase, as one of the most frequently mutated genes in lung cancer. Although receptor tyrosine kinase mutations often drive oncogenic conversion and tumorigenesis, the oncogenic potential of the EPHA3 mutations in lung cancer remains unknown.
Methods:
We used immunoprecipitation, western blotting, and kinase assays to determine the activity and signaling of mutant EPHA3 receptors. A mutation-associated gene signature was generated from one large dataset, mapped to another training dataset with survival information, and tested in a third independent dataset. EPHA3 expression levels were determined by quantitative reverse transcription-polymerase chain reaction in paired normal-tumor clinical specimens and by immunohistochemistry in human lung cancer tissue microarrays. We assessed tumor growth in vivo using A549 and H1299 human lung carcinoma cell xenografts in mice (n = 7-8 mice per group). Tumor cell proliferation was measured by bromodeoxyuridine incorporation and apoptosis by multiple assays. All P values are from two-sided tests.
Results:
At least two cancer-associated EPHA3 somatic mutations functioned as dominant inhibitors of the normal (wild type) EPHA3 protein. An EPHA3 mutation-associated gene signature that was associated with poor patient survival was identified. Moreover, EPHA3 gene copy numbers and/or expression levels were decreased in tumors from large cohorts of patients with lung cancer (eg, the gene was deleted in 157 of 371 [42%] primary lung adenocarcinomas). Reexpression of wild-type EPHA3 in human lung cancer lines increased apoptosis by suppression of AKT activation in vitro and inhibited the growth of tumor xenografts (eg, for H1299 cells, mean tumor volume with wild-type EPHA3 = 437.4 mm(3) vs control = 774.7 mm(3), P < .001). Tumor-suppressive effects of wild-type EPHA3 could be overridden in trans by dominant negative EPHA3 somatic mutations discovered in patients with lung cancer.
Conclusion:
Cancer-associated EPHA3 mutations attenuate the tumor-suppressive effects of normal EPHA3 in lung cancer.
Insights
Cancer-associated mutations in EPHA3 (EPH receptor A3) can inhibit its normal tumor-suppressive function in lung cancer. These EPHA3 mutations are linked to poorer patient survival and reduced EPHA3 expression in tumors.
Area of Science:
- Molecular oncology
- Cancer genomics
- Receptor tyrosine kinase signaling
Background:
- EPHA3, encoding a receptor tyrosine kinase, is frequently mutated in lung cancer.
- The oncogenic role of EPHA3 mutations in lung cancer is not well understood.
Purpose of the Study:
- To investigate the functional impact of cancer-associated EPHA3 mutations in lung cancer.
- To determine the oncogenic potential of EPHA3 mutations and their effect on tumor suppression.
Main Methods:
- Utilized immunoprecipitation, western blotting, and kinase assays to assess EPHA3 activity.
- Generated and validated a mutation-associated gene signature for patient survival analysis.
- Quantified EPHA3 expression and copy number in lung cancer specimens and xenografts.
- Assessed tumor growth, proliferation, and apoptosis in vivo and in vitro.
Main Results:
- Identified cancer-associated EPHA3 mutations acting as dominant inhibitors of wild-type EPHA3.
- Discovered an EPHA3 mutation signature correlated with poor patient survival.
- Observed decreased EPHA3 expression and gene copy numbers in lung tumors.
- Demonstrated that wild-type EPHA3 re-expression suppresses tumor growth and promotes apoptosis by inhibiting AKT activation.
Conclusions:
- Cancer-associated EPHA3 mutations attenuate the tumor-suppressive functions of normal EPHA3 in lung cancer.
- EPHA3 acts as a tumor suppressor in lung cancer, and its function can be inhibited by specific mutations.
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