Literature DB >> 30006881

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

D I Vodolazhsky1, D S Kutilin2, Kh A Mogushkova1, O I Kit1.   

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.

Entities:  

Keywords:  breast cancer; cancer-testis antigens; gene expression; metastases; real-time PCR

Mesh：

Substances：

Year:  2018        PMID： 30006881     DOI： 10.1007/s10517-018-4175-x

Source DB:  PubMed          Journal:  Bull Exp Biol Med        ISSN： 0007-4888            Impact factor:   0.804


  3 in total

1.  Expression profile of ACTL8, CTCFL, OIP5 and XAGE3 in glioma and their prognostic significance: a retrospective clinical study.

Authors:  Xisheng Li; Lidong Ning; Qingmei Zhang; Yingying Ge; Chang Liu; Shuiqing Bi; Xia Zeng; Weixia Nong; Song Wu; Gaoshui Guo; Shaowen Xiao; Bin Luo; Xiaoxun Xie
Journal:  Am J Transl Res       Date:  2020-12-15       Impact factor: 4.060

Review 2.  Recent Progress on Therapeutic Vaccines for Breast Cancer.

Authors:  Lianru Zhang; Xipeng Zhou; Huizi Sha; Li Xie; Baorui Liu
Journal:  Front Oncol       Date:  2022-06-06       Impact factor: 5.738

3.  NanoString technology distinguishes anti-TIF-1γ+ from anti-Mi-2+ dermatomyositis patients.

Authors:  Corinna Preusse; Pascale Eede; Lucie Heinzeling; Kiara Freitag; Randi Koll; Waltraud Froehlich; Udo Schneider; Yves Allenbach; Olivier Benveniste; Anne Schänzer; Hans-Hilmar Goebel; Werner Stenzel; Josefine Radke
Journal:  Brain Pathol       Date:  2021-05       Impact factor: 6.508
  3 in total

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