Details

Autor(en) / Beteiligte

• Chen, Jianbin
• Yang, Hechuan
• Teo, Audrey Su Min
• Amer, Lidyana Bte
• Sherbaf, Faranak Ghazi
• Tan, Chu Quan
• Alvarez, Jacob Josiah Santiago
• Lu, Bingxin
• Lim, Jia Qi
• Takano, Angela
• Nahar, Rahul
• Lee, Yin Yeng
• Phua, Cheryl Zi Jin
• Chua, Khi Pin
• Suteja, Lisda
• Chen, Pauline Jieqi
• Chang, Mei Mei
• Koh, Tina Puay Theng
• Ong, Boon-Hean
• Anantham, Devanand
• Hsu, Anne Ann Ling
• Gogna, Apoorva
• Too, Chow Wei
• Aung, Zaw Win
• Lee, Yi Fei
• Wang, Lanying
• Lim, Tony Kiat Hon
• Wilm, Andreas
• Choi, Poh Sum
• Ng, Poh Yong
• Toh, Chee Keong
• Lim, Wan-Teck
• Ma, Siming
• Lim, Bing
• Liu, Jin
• Tam, Wai Leong
• Skanderup, Anders Jacobsen
• Yeong, Joe Poh Sheng
• Tan, Eng-Huat
• Creasy, Caretha L
• Tan, Daniel Shao Weng
• Hillmer, Axel M
• Zhai, Weiwei

Titel

Genomic landscape of lung adenocarcinoma in East Asians

Ist Teil von

• Nature genetics, 2020-02, Vol.52 (2), p.177-186

Ort / Verlag

United States: Nature Publishing Group

Erscheinungsjahr

2020

Quelle

MEDLINE

Beschreibungen/Notizen

• Lung cancer is the world's leading cause of cancer death and shows strong ancestry disparities. By sequencing and assembling a large genomic and transcriptomic dataset of lung adenocarcinoma (LUAD) in individuals of East Asian ancestry (EAS; n = 305), we found that East Asian LUADs had more stable genomes characterized by fewer mutations and fewer copy number alterations than LUADs from individuals of European ancestry. This difference is much stronger in smokers as compared to nonsmokers. Transcriptomic clustering identified a new EAS-specific LUAD subgroup with a less complex genomic profile and upregulated immune-related genes, allowing the possibility of immunotherapy-based approaches. Integrative analysis across clinical and molecular features showed the importance of molecular phenotypes in patient prognostic stratification. EAS LUADs had better prediction accuracy than those of European ancestry, potentially due to their less complex genomic architecture. This study elucidated a comprehensive genomic landscape of EAS LUADs and highlighted important ancestry differences between the two cohorts.