메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Ben Xu (Peking University First Hospital and Institute of Urology) Yi‑ji Peng (Peking University First Hospital and Institute of Urology) Bing‑lei Ma (Peking University First Hospital and Institute of Urology) Si‑da Cheng (Peking University First Hospital and Institute of Urology)
저널정보
한국유전학회 Genes & Genomics Genes & Genomics Vol.43 No.2
발행연도
2021.1
수록면
123 - 131 (9page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Background The 16q23.1 tumor suppressor gene (TSG) of ADAMTS18 has been identified to be aberrant methylated in clear cell renal cell carcinoma (ccRCC), and there still exists an unclear situation between its methylation and the progression of ccRCC. Objective To analyze the biological function and mechanism of ADAMTS18 gene in the tumorigenesis and progression of ccRCC. Methods We examined ADAMTS18 gene methylation using methylation- specific polymerase chain reaction (MSP) in 92 ccRCC primary tumors from September 2017 to May 2018. Using reverse transcriptase PCR (RT-PCR) and immunohistochemical (IHC) assay, the relative expression level of ADAMTS18 was measured in the representative tumor samples with their adjacent normal tissues. Meanwhile, colony formation, cell viability, wound healing, transwell chamber, flow cytometry, and PI staining were performed to confirm the tumor-suppressive function and mechanism of ADAMTS18 gene. Results Aberrant methylation was further detected in 47 of the 92 (51.1%) primary tumors and in 8 of the 92 (8.7%) adjacent normal tissues (p < 0.05). Due to the phenomenon of aberrant methylation, ectopic low-level expression of ADAMTS18 gene could result in the promotion of tumorigenesis and progression in ccRCC. Conclusion The aberrantly methylated ADAMTS18 gene may be involved in the tumorigenesis and progression of ccRCC.

목차

등록된 정보가 없습니다.

참고문헌 (29)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0