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Characterization of AKT Somatic Mutations in Chinese Breast Cancer Patients
Lingzhu Wen1, Guochun Zhang1, Chongyang Ren1
1Department of Breast Cancer, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Guangzhou, Guangdong, People's Republic of China.
This study investigated AKT gene mutations in Chinese breast cancer patients, finding distinct mutation patterns compared to international data. AKT1 mutations, particularly E17K, were more common in the Chinese cohort.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- The AKT gene pathway is crucial in cell proliferation and survival, making it a target in cancer research.
- Understanding AKT gene mutation status in diverse populations like Chinese breast cancer patients is vital for personalized treatment strategies.
Purpose of the Study:
- To determine the AKT gene mutation status in a cohort of Chinese breast cancer patients.
- To compare AKT gene mutation profiles between Chinese patients and data from The Cancer Genome Atlas (TCGA).
Main Methods:
- Next-generation sequencing (NGS) was used to analyze AKT gene mutations in 411 Chinese breast cancer patients.
- Immunohistochemistry was performed to assess Human Epidermal growth factor Receptor 2 (Her2), Progesterone Receptor (PR), and Estrogen Receptor (ER) expression.
- Data was compared with The Cancer Genome Atlas (TCGA) database.
Main Results:
- The Chinese cohort (GDPH) exhibited distinct clinicopathological features compared to the TCGA cohort, including older age and higher rates of ER and HER2 expression.
- Lower overall AKT and AKT3 mutation rates but a higher AKT1 mutation rate were observed in the GDPH cohort versus TCGA.
- Missense mutations, predominantly the AKT1 E17K mutation, were common in the GDPH cohort, while copy number amplification was more frequent in TCGA.
Conclusions:
- Chinese breast cancer patients show different AKT mutation frequencies and patterns compared to the TCGA cohort, with a notable prevalence of AKT1 E17K missense mutations.
- AKT mutations in this cohort were correlated with specific clinicopathological characteristics such as age, HER2 status, and hormone receptor status.
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