典型文献
Decoding the complexity of metastasis
文献摘要:
Cancer metastasis remains one of the most confounding questions in oncology1,2. Although current cutting-edge techniques enable very early detection of tumors, profiling whether a tumor has already begun to spread and where it has attempted to colonize remains a major hurdle. Indeed, metastatic seeding events exhibit remarkable temporal and spatial -heterogeneity, wherein the origin (primary site) and destination (metastatic site) are highly dynamic. For example, liver metastasis is particularly common and remains a lead-ing cause of mortality3. Primary cancers are diverse and can include gastrointestinal cancer, such as colorectal cancer and pancreatic cancer, as well as cancers of extraperitoneal origin, such as breast cancer, which has heterogeneous clinical phe-notypes and a range of therapeutic responses. Because exist-ing knowledge of cross-tissue metastasis remains far from complete, the generation of a unified pan-cancer metastasis map remains a pressing need. In this perspective, we outline the growing advances in metastasis biology, with a focus on the challenges in using high--throughput technologies and the state-of-the-art -theories among the metastasis research community.
文献关键词:
中图分类号:
作者姓名:
Yingcheng Wu;Tiancheng Zhang;Xiaoming Zhang;Qiang Gao
作者机构:
Department of Liver Surgery and Transplantation,Key Laboratory of Carcinogenesis and Cancer Invasion(Ministry of Education),Liver Cancer Institute,Zhongshan Hospital,Fudan University,Shanghai 200032,China;The Center for Microbes,Development and Health,Key Laboratory of Molecular Virology and Immunology,Institute Pasteur of Shanghai,Chinese Academy of Sciences,Shanghai 200031,China;Key Laboratory of Medical Epigenetics and Metabolism,Institutes of Biomedical Sciences,Fudan University,Shanghai 200032,China;State Key Laboratory of Genetic Engineering,Fudan University,Shanghai 200433,China
文献出处:
引用格式:
[1]Yingcheng Wu;Tiancheng Zhang;Xiaoming Zhang;Qiang Gao-.Decoding the complexity of metastasis)[J].癌症生物学与医学(英文版),2022(03):284-288
A类:
oncology1,mortality3,notypes
B类:
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AB值:
0.633443
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