Yi-Zhou Jiang, Ding Ma, Xi Jin, Yi Xiao, Ying Yu, Jinxiu Shi, Yi-Fan Zhou, Tong Fu, Cai-Jin Lin, Lei-Jie Dai, Cheng-Lin Liu, Shen Zhao, Guan-Hua Su, Wanwan Hou, Yaqing Liu, Qingwang Chen, Jingcheng Yang, Naixin Zhang, Wen-Juan Zhang, Wei Liu, Weigang Ge, Wen-Tao Yang, Chao You, Yajia Gu, Virginia Kaklamani, François Bertucci, Claire Verschraegen, Anneleen Daemen, Nakul M. Shah, Ting Wang, Tiannan Guo, Leming Shi, Charles M. Perou, Yuanting Zheng, Wei Huang, Zhi-Ming Shao
{"title":"中国人群乳腺癌多基因组综合分析揭示了患者分层和治疗弱点。","authors":"Yi-Zhou Jiang, Ding Ma, Xi Jin, Yi Xiao, Ying Yu, Jinxiu Shi, Yi-Fan Zhou, Tong Fu, Cai-Jin Lin, Lei-Jie Dai, Cheng-Lin Liu, Shen Zhao, Guan-Hua Su, Wanwan Hou, Yaqing Liu, Qingwang Chen, Jingcheng Yang, Naixin Zhang, Wen-Juan Zhang, Wei Liu, Weigang Ge, Wen-Tao Yang, Chao You, Yajia Gu, Virginia Kaklamani, François Bertucci, Claire Verschraegen, Anneleen Daemen, Nakul M. Shah, Ting Wang, Tiannan Guo, Leming Shi, Charles M. Perou, Yuanting Zheng, Wei Huang, Zhi-Ming Shao","doi":"10.1038/s43018-024-00725-0","DOIUrl":null,"url":null,"abstract":"Molecular profiling guides precision treatment of breast cancer; however, Asian patients are underrepresented in publicly available large-scale studies. We established a comprehensive multiomics cohort of 773 Chinese patients with breast cancer and systematically analyzed their genomic, transcriptomic, proteomic, metabolomic, radiomic and digital pathology characteristics. Here we show that compared to breast cancers in white individuals, Asian individuals had more targetable AKT1 mutations. Integrated analysis revealed a higher proportion of HER2-enriched subtype and correspondingly more frequent ERBB2 amplification and higher HER2 protein abundance in the Chinese HR+HER2+ cohort, stressing anti-HER2 therapy for these individuals. Furthermore, comprehensive metabolomic and proteomic analyses revealed ferroptosis as a potential therapeutic target for basal-like tumors. The integration of clinical, transcriptomic, metabolomic, radiomic and pathological features allowed for efficient stratification of patients into groups with varying recurrence risks. Our study provides a public resource and new insights into the biology and ancestry specificity of breast cancer in the Asian population, offering potential for further precision treatment approaches. Shao and colleagues present a multiomic analysis of breast tumor samples from Chinese patients, consisting of genomic, transcriptomic, proteomic, metabolomic, radiomic and digital pathology data.","PeriodicalId":18885,"journal":{"name":"Nature cancer","volume":null,"pages":null},"PeriodicalIF":23.5000,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrated multiomic profiling of breast cancer in the Chinese population reveals patient stratification and therapeutic vulnerabilities\",\"authors\":\"Yi-Zhou Jiang, Ding Ma, Xi Jin, Yi Xiao, Ying Yu, Jinxiu Shi, Yi-Fan Zhou, Tong Fu, Cai-Jin Lin, Lei-Jie Dai, Cheng-Lin Liu, Shen Zhao, Guan-Hua Su, Wanwan Hou, Yaqing Liu, Qingwang Chen, Jingcheng Yang, Naixin Zhang, Wen-Juan Zhang, Wei Liu, Weigang Ge, Wen-Tao Yang, Chao You, Yajia Gu, Virginia Kaklamani, François Bertucci, Claire Verschraegen, Anneleen Daemen, Nakul M. 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Integrated multiomic profiling of breast cancer in the Chinese population reveals patient stratification and therapeutic vulnerabilities
Molecular profiling guides precision treatment of breast cancer; however, Asian patients are underrepresented in publicly available large-scale studies. We established a comprehensive multiomics cohort of 773 Chinese patients with breast cancer and systematically analyzed their genomic, transcriptomic, proteomic, metabolomic, radiomic and digital pathology characteristics. Here we show that compared to breast cancers in white individuals, Asian individuals had more targetable AKT1 mutations. Integrated analysis revealed a higher proportion of HER2-enriched subtype and correspondingly more frequent ERBB2 amplification and higher HER2 protein abundance in the Chinese HR+HER2+ cohort, stressing anti-HER2 therapy for these individuals. Furthermore, comprehensive metabolomic and proteomic analyses revealed ferroptosis as a potential therapeutic target for basal-like tumors. The integration of clinical, transcriptomic, metabolomic, radiomic and pathological features allowed for efficient stratification of patients into groups with varying recurrence risks. Our study provides a public resource and new insights into the biology and ancestry specificity of breast cancer in the Asian population, offering potential for further precision treatment approaches. Shao and colleagues present a multiomic analysis of breast tumor samples from Chinese patients, consisting of genomic, transcriptomic, proteomic, metabolomic, radiomic and digital pathology data.
期刊介绍:
Cancer is a devastating disease responsible for millions of deaths worldwide. However, many of these deaths could be prevented with improved prevention and treatment strategies. To achieve this, it is crucial to focus on accurate diagnosis, effective treatment methods, and understanding the socioeconomic factors that influence cancer rates.
Nature Cancer aims to serve as a unique platform for sharing the latest advancements in cancer research across various scientific fields, encompassing life sciences, physical sciences, applied sciences, and social sciences. The journal is particularly interested in fundamental research that enhances our understanding of tumor development and progression, as well as research that translates this knowledge into clinical applications through innovative diagnostic and therapeutic approaches. Additionally, Nature Cancer welcomes clinical studies that inform cancer diagnosis, treatment, and prevention, along with contributions exploring the societal impact of cancer on a global scale.
In addition to publishing original research, Nature Cancer will feature Comments, Reviews, News & Views, Features, and Correspondence that hold significant value for the diverse field of cancer research.