Multi-Omics Profiling Suggesting Intratumoral Mast Cells as Predictive Index of Breast Cancer Lung Metastasis.
Multi-Omics Profiling Suggesting Intratumoral Mast Cells as Predictive Index of Breast Cancer Lung Metastasis.
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多组学分析表明瘤内肥大细胞作为乳腺癌肺转移的预测指标
DOI：
10.3389/fonc.2021.788778
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发表时间：
2021
影响因子：
4.7
通讯作者：
Huang J
中科院分区：
文献类型：
--
作者：
Zhang L;Pan J;Wang Z;Yang C;Chen W;Jiang J;Zheng Z;Jia F;Zhang Y;Jiang J;Su K;Ren G;Huang J
Breast cancer lung metastasis has a high mortality rate and lacks effective treatments, for the factors that determine breast cancer lung metastasis are not yet well understood. In this study, data from 1067 primary tumors in four public datasets revealed the distinct microenvironments and immune composition among patients with or without lung metastasis. We used multi-omics data of the TCGA cohort to emphasize the following characteristics that may lead to lung metastasis: more aggressive tumor malignant behaviors, severer genomic instability, higher immunogenicity but showed generalized inhibition of effector functions of immune cells. Furthermore, we found that mast cell fraction can be used as an index for individual lung metastasis status prediction and verified in the 20 human breast cancer samples. The lower mast cell infiltrations correlated with tumors that were more malignant and prone to have lung metastasis. This study is the first comprehensive analysis of the molecular and cellular characteristics and mutation profiles of breast cancer lung metastasis, which may be applicable for prognostic prediction and aid in choosing appropriate medical examinations and therapeutic regimens.
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影响因子：
3
作者：
Langfelder P;Horvath S
通讯作者：
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影响因子：
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影响因子：
64.8
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通讯作者：
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