The landscape of metastatic progression patterns across major human cancers.
The landscape of metastatic progression patterns across major human cancers.
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DOI：
10.18632/oncotarget.2677
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发表时间：
2015-01-01
期刊：
影响因子：
--
通讯作者：
Stenzinger A
中科院分区：
文献类型：
--
作者：
Budczies J;von Winterfeld M;Klauschen F;Bockmayr M;Lennerz JK;Denkert C;Wolf T;Warth A;Dietel M;Anagnostopoulos I;Weichert W;Wittschieber D;Stenzinger A
大多数实体恶性肿瘤患者死于转移负荷。然而，我们目前对传播机制和由此产生的传播模式的理解是有限的。在这里，我们分析了2000年至2013年期间尸检的1008例转移性癌症患者队列中16种主要癌症类型的转移进展模式，以评估癌症特异性疾病进展模式和相关风险预测。在1）16种主要癌症，2）吸烟和非吸烟相关癌症以及3）腺细胞癌和鳞状细胞癌中评价了转移的频率和位置。主要和次要网站之间的关联进行了分析的分数和相对风险的方法。我们检测到显著不同的癌症转移进展的特定模式，具有继发部位受累的特定相对风险特征。组织学和吸烟病因学影响这些模式。后向分析显示转移模式有助于预测未知的原发部位。实体性恶性肿瘤对特定的继发性部位保持独特的和复发性的器官嗜性，这似乎不受癌症医学进展的强烈影响，如通过与先前数据集的比较所示。转移进展模式的描绘景观是临床和基础科学家的综合数据资源，有助于促进癌症研究和癌症治疗的新假设。
The majority of patients with solid malignancies die from metastatic burden. However, our current understanding of the mechanisms and resulting patterns of dissemination is limited. Here, we analyzed patterns of metastatic progression across 16 major cancer types in a cohort of 1008 patients with metastatic cancer autopsied between 2000 and 2013 to assess cancer specific progression patterns of disease and related risk predictions. The frequency and location of metastases were evaluated in and across 1) 16 major cancers, 2) smoking- and non-smoking-related cancers and 3) adeno- and squamous cell carcinoma. Associations between primary and secondary sites were analyzed by the fractional and the relative risk methods. We detected significantly different cancer specific patterns of metastatic progression with specific relative risk profiles for secondary site involvement. Histology and smoking etiology influenced these patterns. Backward analysis showed that metastatic patterns help to predict unknown primary sites. Solid malignancies maintain a unique and recurrent organ tropism to specific secondary sites which does not appear to be strongly influenced by advances in cancer medicine as shown by comparison with previous data sets. The delineated landscape of metastatic progression patterns is a comprehensive data resource to both clinical and basic scientists which aids fostering new hypotheses for cancer research and cancer therapies.
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影响因子：
--
作者：
Baccelli I;Stenzinger A;Vogel V;Pfitzner BM;Klein C;Wallwiener M;Scharpff M;Saini M;Holland-Letz T;Sinn HP;Schneeweiss A;Denkert C;Weichert W;Trumpp A
通讯作者：
Trumpp A
影响因子：
78.5
作者：
Klein, Christoph A.
通讯作者：
Klein, Christoph A.
转移的临床模式
影响因子：
9.2
作者：
Leong, Stanley P. L.;Cady, Blake;Kitajima, M.
通讯作者：
Kitajima, M.
影响因子：
45.3
作者：
ELLIOTT, JA;OSTERLIND, K;HANSEN, HH
通讯作者：
HANSEN, HH
影响因子：
64.8
作者：
Klein, Christoph A.
通讯作者：
Klein, Christoph A.