Enhanced Angiogenesis in Salivary Duct Carcinoma Ex-Pleomorphic Adenoma

被引:6
|
作者
Suzuki, Takayoshi [1 ]
Kano, Satoshi [1 ]
Suzuki, Masanobu [1 ]
Yasukawa, Shinichiro [1 ]
Mizumachi, Takatsugu [1 ]
Tsushima, Nayuta [1 ]
Hatanaka, Kanako C. [2 ]
Hatanaka, Yutaka [3 ]
Matsuno, Yoshihiro [3 ]
Homma, Akihiro [1 ]
机构
[1] Hokkaido Univ, Grad Sch Med, Dept Otolaryngol Head & Neck Surg, Sapporo, Hokkaido, Japan
[2] Hokkaido Univ Hosp, Clin Res & Med Innovat Ctr, Sapporo, Hokkaido, Japan
[3] Hokkaido Univ Hosp, Dept Surg Pathol, Sapporo, Hokkaido, Japan
来源
FRONTIERS IN ONCOLOGY | 2021年 / 10卷
关键词
salivary duct carcinoma; carcinoma ex-pleomorphic adenoma; VEGFA; HER2; machine learning; ENDOTHELIAL GROWTH-FACTOR; BREAST-CANCER; EXPRESSION; SELECTION; RECEPTOR;
D O I
10.3389/fonc.2020.603717
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Salivary duct carcinoma (SDC) is morphologically similar to breast cancer, with HER2-overexpression reported. With regard to the pattern of disease onset, SDC can arise from de novo or carcinoma ex-pleomorphic adenoma (Ca-ex-PA). Recently, multiple molecular profiles of SDC as well as breast cancer have been reported, with significant differences in HER2 expression between Ca-ex-PA and de novo. We assessed the differences in gene expression between onset classifications. We conducted immunohistochemical analysis and HER2-DISH for 23 patients and classified SDCs into three subtypes as follows: "HER2-positive" (HER2+/any AR), "Luminal-AR" (HER2-/AR+), and "Basal-like" (HER2-/AR-). We assessed the expression levels of 84 functional genes for 19 patients by using a qRT-PCR array. Ten cases were classified as HER2-positive, seven cases as Luminal-AR, and six cases as Basal-like. The gene expression pattern was generally consistent with the corresponding immunostaining classification. The expression levels of VEGFA, ERBB2(HER2), IGF1R, RB1, and XBP1 were higher, while those of SLIT2 and PTEN were lower in Ca-ex-PA than in de novo. The functions of those genes were concentrated in angiogenesis and AKT/PI3K signaling pathway (Fisher's test: p-value = 0.025 and 0.004, respectively). Multiple machine learning methods, OPLS-DA, LASSO, and RandomForest, also show that VEGFA can be a candidate for the characteristic differences between Ca-ex-PA and de novo. In conclusion, the AKT/PI3K signaling pathway leading to angiogenesis was hyper-activated in all SDCs, particularly in those classified into the Ca-ex-PAs. VEGFA was over-expressed significantly in the Ca-ex-PA, which can be a crucial factor in the malignant conversion to SDC.
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页数:12
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