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Specific Features of Transcription Activity of Cancer-Testis Antigens in Patients with Metastatic and Non-Metastatic Breast Cancer

Overview of attention for article published in Bulletin of Experimental Biology and Medicine, July 2018
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Title
Specific Features of Transcription Activity of Cancer-Testis Antigens in Patients with Metastatic and Non-Metastatic Breast Cancer
Published in
Bulletin of Experimental Biology and Medicine, July 2018
DOI 10.1007/s10517-018-4175-x
Pubmed ID
Authors

D. I. Vodolazhsky, D. S. Kutilin, Kh. A. Mogushkova, O. I. Kit

Abstract

Cancer-testis antigens, effective markers of tissue malignant transformation, are characterized by heterogonous transcription depending on the pathological features of breast cancer. We performed screening of transcription profile of cancer-testis antigens specific for breast tumor tissues in female patients with and without regional metastasis. The relative expression of 16 genes (MAGEA1, MAGEA2, MAGEA3, MAGEA4, MAGEB1, MAGEB2, GAGE1, GAGE3, GAGE4, MAGEC1, BAGE, XAGE3, NY-ESO1, SSX2, SYCP1, and PRAME1) was analyzed by RT-qPCR method in biopsy specimens of the mammary gland tissues obtained during surgery from 25 patients. Differential transcription activity of cancer-testis antigens genes was observed in patients with metastatic (enhanced expression of MAGEA2, MAGEB1, and XAGE3 genes) and non-metastatic (enhanced expression of GAGE3 and PRAME1 genes) breast cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Student > Doctoral Student 2 18%
Librarian 1 9%
Researcher 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Engineering 2 18%
Chemistry 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Unknown 4 36%