인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
High-risk (HR) human papillomavirus (HPV) genotypes are strongly associated with cervical cancer, whereas other HPV genotypes are not. To identify the various HPV genotypes in clinical samples, we conducted HPV genotyping using a DNA chip test and reverse blot hybridization assay (REBA) in normal cytology samples and atypical squamous cells of undetermined significance (ASCUS) cytology samples. We also investigated the HPV infection rate and HPV genotype prevalence in women with normal cytology and ASCUS cytology. Liquid-based cytology preparations were used for the initial screening of 205 subjects with normal cytology and ASCUS cytology. The HPV infection rate was 49.8% when using the DNA chip assay and 61.0% when using the REBA test. In patients with normal cytology, the HR-HPV positive rate was 21.9% with the DNA chip assay and 43.9% with the REBA test. In contrast, 8.3% of patients with ASCUS were HR-HPV positive when using the DNA chip assay, and 13.6% were positive when tested with the REBA test. The infection rate of HR-HPV in the 40~50-year age group was significantly higher than that of the other age groups. Based on the cytological analysis of the normal and ASCUS samples, the five most prominent HPV genotypes were HPV 16, 18, 68, 33, and 58 using the DNA chip test, and they were HPV 16, 18, 53, 33, and 66 when using the REBA test. In conclusion, the findings show that the results of the REBA test are comparable to those of the DNA chip test. Most strikingly, the REBA test detected the HR-HPV genotype associated with cervical carcinoma similar to that detected with the DNA chip method. Therefore, the REBA test is a useful method to detect clinically important HR-HPV genotypes.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2016-510-001347993
