HPV E6/E7, hTERT, and Ki67 mRNA RT-qPCR assay for detecting high-grade cervical lesion with microscope slides

Geehyuk Kim, Jemberu Taye, Kwangmin Yu, Sunyoung Park, Jungho Kim, Sunghyun Kim, Dongsup Lee, Hye Young Wang, Kwang Hwa Park, Hyeyoung Lee

Research output: Contribution to journalArticle

Abstract

After breast and colon cancer, cervical cancer is the third most common cancer of women worldwide. Since human papillomavirus (HPV) infection is known to be the predominant cause of cervical cancer, molecular HPV screening is currently used along with cytological and histological examination methods for precancer diagnosis. Nevertheless, the sensitivity of the current HPV test is less than 80%; thus, many cervical cancer cases are not able to be diagnosed by HPV screening alone, and likewise, patients with cervical cancer are often determined to be HPV-negative by the current screening methods. Therefore, human telomerase reverse transcriptase (hTERT) and Ki67 previously identified as cancer markers were attempted. And cervical exfoliated cells of high-grade squamous intraepithelial lesion (HSIL), the most severe precancerous lesion of cancer, were used in the study. However, it takes a long time to collect enough specimens to conduct statistical analysis. Therefore, in the present study, microscope slides, cervical exfoliated cells on glass slides, were attempted. The results of the analysis demonstrated that hTERT and Ki67 expression levels were useful in distinguishing between cancerous and normal specimens, exhibiting a higher sensitivity and specificity than conventional HPV E6/E7 testing. And the study suggests clinical slide cell samples could be effectively used in the context of retrospective studies to identify novel biomarkers.

Original languageEnglish
Article number9365654
JournalAnalytical Cellular Pathology
Volume2019
DOIs
Publication statusPublished - 2019

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine
  • Molecular Medicine
  • Cell Biology
  • Cancer Research

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