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Gene expression signatures of primary and metastatic uterine leiomyosarcoma

Author:
Davidson, Ben   Abeler, Vera Maria   F?rsund, Mette   Holth, Arild   Yang, Yanqin   Kobayashi, Yusuke   Chen, Lily   Kristensen, Gunnar B.   Shih, Ie-Ming   Wang, Tian-Li  


Journal:
Human Pathology


Issue Date:
2014


Abstract(summary):

Leiomyosarcoma (LMS) is the most common uterine sarcoma. Although the disease is relatively rare, it is responsible for considerable mortality due to frequent metastasis and chemoresistance. The molecular events related to LMS metastasis are unknown to date. The present study compared the global gene expression patterns of primary uterine LMSs and LMS metastases. Gene expression profiles of 13 primary and 15 metastatic uterine LMSs were analyzed using the HumanRef-8 BeadChip from Illumina. Differentially expressed candidate genes were validated using quantitative real-time polymerase chain reaction (PCR) and immunohistochemistry. To identify differently expressed genes between primary and metastatic tumors, we performed one-way analysis of variance with Benjamini-Hochberg correction. This led to identification of 203 unique probes that were significantly differentially expressed in the 2 tumor groups by greater than 1.58-fold with P < .01, of which 94 and 109 were overexpressed in primary and metastatic LMSs, respectively. Genes overexpressed in primary uterine LMSs included OSTN, NLGN4X, NLGN1, SLITRK4, MASP1, XRN2, ASS1, RORB, HRASLS, and TSPAN7. Genes overexpressed in LMS metastases included TNNT1, FOLR3, TDO2, CRYM, GJA1, TSPAN10, THBS1, SGK1, SHMT1, EGR2, and AGT. Quantitative real-time PCR confirmed significant anatomical site-related differences in FOLR3, OSTN, and NLGN4X levels; and immunohistochemistry showed significant differences in TDO2 expression. Gene expression profiling differentiates primary uterine LMSs from LMS metastases. The molecular signatures unique to primary and metastatic LMSs may aid in understanding tumor progression in this cancer and in providing a molecular basis for prognostic studies and therapeutic target discovery. (C) 2014 Elsevier Inc. All rights reserved.


Page:
691-700


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