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科技导报 | 专题:肿瘤标志物 2021,39(7): 75-78
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科技导报 |专题:肿瘤标志物 2021 , 39 (7) : 75 -78
乳腺癌早诊早治关键技术的研究与应用
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肖怀远, 郝希山
作者信息
    天津医科大学肿瘤医院, 国家恶性肿瘤临床医学研究中心, 天津市肿瘤防治重点实验室, 天津市恶性肿瘤临床医学研究中心, 天津 300060
通讯作者:
郝希山(通信作者),主任医师、教授,中国工程院院士,研究方向为肿瘤防治,电子信箱:xishanhao@sina.com
作者简介:
肖怀远,研究实习员,研究方向为科研管理,电子信箱:xiaohuaiyuan@126.com
Research and application of key technologies for early diagnosis and treatment of breast cancer
  • XIAO Huaiyuan, HAO Xishan
  • Affiliations
      Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China
    出版时间: 2021-04-13 doi: 10.3981/j.issn.1000-7857.2021.07.007
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    当前,乳腺癌已成为威胁中国女性生命健康的最大杀手,并且发病率还在逐年升高。早发现、早诊断并接受及时的治疗,对于改善乳腺癌患者的治疗效果、减少患者的经济负担和国家的卫生支出具有重要的意义。通过介绍郝希山院士团队多年来围绕乳腺癌的早诊早治探索关键技术的优化和应用,展示构建适合中国的乳腺癌早诊早治体系所取得的成果。
    乳腺癌  /  早诊早治  /  关键技术
    Breast cancer is the leading killer to Chinese women, and the incidence is still rising. Early diagnosis and treatment is of great significance to improve the patients' care, reduce the economic burden of patients and the national health care spending. This paper mainly introduces the achievements of Professor Hao Xishan's team in building the early diagnosis and treatment system of breast cancer.
    breast cancer  /  early diagnosis and treatment  /  strategies
    肖怀远, 郝希山. 乳腺癌早诊早治关键技术的研究与应用. 科技导报, 2021 , 39 (7) : 75 -78 . DOI: 10.3981/j.issn.1000-7857.2021.07.007
    XIAO Huaiyuan, HAO Xishan. Research and application of key technologies for early diagnosis and treatment of breast cancer[J]. Science & Technology Review, 2021 , 39 (7) : 75 -78 . DOI: 10.3981/j.issn.1000-7857.2021.07.007

      国家科技支撑计划项目(2015BAI12B15)

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    doi: 10.3981/j.issn.1000-7857.2021.07.007
    • 接收时间:2019-09-27
    • 首发时间:2021-05-13
    • 出版时间:2021-04-13
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    • 收稿日期:2019-09-27
    • 修回日期:2020-02-20
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    通讯作者:

    郝希山(通信作者),主任医师、教授,中国工程院院士,研究方向为肿瘤防治,电子信箱:xishanhao@sina.com
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    2种不同金属材料的力学参数

    Family
    属数
    Number of
    genus
    种数
    Number of
    species
    占总种数比例
    Percentage of
    total species (%)

    Genus
    种数
    Number of
    species
    占总种数比例
    Percentage of total
    species (%)
    鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
    小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
    多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
    红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
    小菇属 Mycena 11 5.26
    光柄菇属 Pluteus 5 2.39
    红菇属 Russula 17 8.13
    栓菌属 Trametes 5 2.39
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