中国对三阴性乳腺癌深入分型施策
众所周知,如果乳腺癌不表达雌激素受体、孕激素受体、人类表皮生长因子受体2(HER2或ERBB2),就被笼统地归类为三阴性乳腺癌。此类乳腺癌对内分泌治疗和抗HER2靶向治疗不敏感,目前主要依靠化疗。虽然该类型乳腺癌仅占10%~20%,但是其中还有大量已知和未知的亚型,具有不同的临床意义,需要不同的治疗策略。既往研究主要针对西方人群,而且样本量较小、分析的DNA基因信息或RNA转录信息较少、临床意义不大。
2019年3月7日,美国《细胞》旗下《癌细胞》在线发表复旦大学附属肿瘤医院、复旦大学生命科学学院、复旦大学人类表型组研究院、国家人类基因组南方研究中心、上海产业技术研究院、中国科学院上海高等研究院、俄亥俄州立大学综合癌症中心、德克萨斯大学圣安东尼奥医学中心、基因泰克、牛津大学阿登布鲁克医院、纽约州立布法罗大学罗斯威尔帕克癌症研究所、北京大学生命科学学院、中国科学院上海生命科学研究院上海营养与健康研究所的研究报告,全面分析了大样本三阴性乳腺癌患者的染色体DNA全部基因信息、细胞RNA全部转录信息、临床数据,并且深入分析了各个亚型的临床意义和治疗策略。
该单中心研究对2007年1月1日~2017年12月31日复旦大学附属肿瘤医院连续504例三阴性乳腺癌中国女性患者的原发肿瘤组织和血液标本进行筛选,其中465例的染色体DNA全部基因信息、细胞RNA全部转录信息、临床数据符合分析要求。
结果发现,该中国患者队列与美国癌症基因组图谱(TCGA)患者队列相比,位于22号染色体长臂11区的PIK3CA基因突变和拷贝数增加发生率显著较高。
该研究根据细胞RNA全部转录信息,将三阴性乳腺癌进一步分为四种亚型:
雄激素受体管腔亚型
免疫调节亚型
基底样免疫抑制亚型
间充质样亚型
该研究确定了各个亚型的潜在治疗靶点或生物标志。重要的是,该研究发现雄激素受体管腔亚型的ERBB2体细胞突变较多、突变特征3较少、CDKN2A缺失较多。
因此,该研究结果将为进一步推动三阴性乳腺癌的深入理解和精准治疗提供参考。
相关阅读
Cancer Cell. 2019 Mar 7. [Epub ahead of print]
Genomic and Transcriptomic Landscape of Triple-Negative Breast Cancers: Subtypes and Treatment Strategies.
Yi-Zhou Jiang, Ding Ma, Chen Suo, Jinxiu Shi, Mengzhu Xue, Xin Hu, Yi Xiao, Ke-Da Yu, Yi-Rong Liu, Ying Yu, Yuanting Zheng, Xiangnan Li, Chenhui Zhang, Pengchen Hu, Jing Zhang, Qi Hua, Jiyang Zhang, Wanwan Hou, Luyao Ren, Ding Bao, Bingying Li, Jingcheng Yang, Ling Yao, Wen-Jia Zuo, Shen Zhao, Yue Gong, Yi-Xing Ren, Ya-Xin Zhao, Yun-Song Yang, Zhenmin Niu, Zhi-Gang Cao, Daniel G. Stover, Claire Verschraegen, Virginia Kaklamani, Anneleen Daemen, John R. Benson, Kazuaki Takabe, Fan Bai, Da-Qiang Li, Peng Wang, Leming Shi, Wei Huang, Zhi-Ming Shao.
Fudan University Shanghai Cancer Center, Shanghai, China; School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China; School of Public Health, Fudan University, Shanghai, China; Chinese National Human Genome Center at Shanghai (CHGC) and Shanghai Industrial Technology Institute (SITI), Shanghai, China; Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China; The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA; University of Texas Health Science Center San Antonio, San Antonio, TX, USA; Genentech Inc., South San Francisco, CA, USA; Addenbrooke's Hospital, Cambridge, UK; Roswell Park Cancer Institute, Buffalo, NY, USA; School of Life Sciences, Peking University, Beijing, China; Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
HIGHLIGHTS
We build the genomic and transcriptomic landscape of 465 primary TNBCs
Chinese TNBC cases demonstrate more PIK3CA mutations and LAR subtype
Transcriptomic data classify TNBCs into four subtypes
Multi-omics profiling identifies potential targets within specific TNBC subtypes
We comprehensively analyzed clinical, genomic, and transcriptomic data of a cohort of 465 primary triple-negative breast cancer (TNBC). PIK3CA mutations and copy-number gains of chromosome 22q11 were more frequent in our Chinese cohort than in The Cancer Genome Atlas. We classified TNBCs into four transcriptome-based subtypes: (1) luminal androgen receptor (LAR), (2) immunomodulatory, (3) basal-like immune-suppressed, and (4) mesenchymal-like. Putative therapeutic targets or biomarkers were identified among each subtype. Importantly, the LAR subtype showed more ERBB2 somatic mutations, infrequent mutational signature 3 and frequent CDKN2A loss. The comprehensive profile of TNBCs provided here will serve as a reference to further advance the understanding and precision treatment of TNBC.
KEYWORDS: triple-negative breast cancer; molecular subtype; genomictranscriptomicprecision therapiestarget
DOI: 10.1016/j.ccell.2019.02.001
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