Literature DB >> 22901172

Significance of human telomerase RNA gene amplification detection for cervical cancer screening.

Shao-Min Chen1, Wei Lin, Xin Liu, You-Zhong Zhang.   

Abstract

AIM: Liquid-based cytology is the most often used method for cervical cancer screening, but it is relatively insensitive and frequently gives equivocal results. Used as a complementary procedure, the high-risk human papillomavirus (HPV) DNA test is highly sensitive but not very specific. The human telomerase RNA gene (TERC) is the most often amplified oncogene that is observed in cervical precancerous lesions. We assessed genomic amplification of TERC in liquid-based cytological specimens to explore the optimal strategy of using this for cervical cancer screening.
METHODS: Six hundred and seventy-one residual cytological specimens were obtained from outpatients aged 25 to 64 years. The specimens were evaluated by the Digene Hybrid Capture 2 (HC2) HPV DNA test and fluorescence in situ hybridization (FISH) with a chromosome probe to TERC (3q26). Colposcopic examination and histological evaluation were performed where indicated.
RESULTS: The TERC positive rate was higher in the CIN2+ (CIN2, CIN3 and SCC) group than in the normal and CIN 1 groups (90.0% vs. 10.4%, p<0.01). In comparison with the HC2 HPV DNA test, the TERC amplification test had lower sensitivity but higher specificity (90.0% vs. 100.0%, 89.6% vs. 44.0%, respectively). TERC amplification test used in conjunction with the HC2 HPV DNA test showed a combination of 90.0% sensitivity and 92.2% specificity.
CONCLUSION: The TERC amplification test can be used to diagnose cervical precancerous lesions. TERC and HPV DNA co-testing shows an optimal combination of sensitivity and specificity for cervical cancer screening.

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Year:  2012        PMID: 22901172     DOI: 10.7314/apjcp.2012.13.5.2063

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  1 in total

Review 1.  The Role of p16/Ki-67 Immunostaining, hTERC Amplification and Fibronectin in Predicting Cervical Cancer Progression: A Systematic Review.

Authors:  Septimiu Toader Voidăzan; Caterina Dianzani; Mădălina Aurelia Husariu; Bíborka Geréd; Sabin Gligore Turdean; Cosmina Cristina Uzun; Zsolt Kovacs; Florin Francisc Rozsnyai; Nicoleta Neagu
Journal:  Biology (Basel)       Date:  2022-06-23
  1 in total

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