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
질문

논문 기본 정보

자료유형
학술저널
저자정보
Yong-Hee Kim (Kyungpook National University School of Medicine)
저널정보
대한바이러스학회 JOURNAL OF BACTERIOLOGY AND VIROLOGY Journal of Bacteriology and Virology Vol.45 No.3
발행연도
2015.9
수록면
189 - 199 (11page)

이용수

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

초록· 키워드

오류제보하기
Human papillomaviruses (HPVs) infect the squamous epithelium, and cause skin warts, genital warts and cancers, including uterine cervical cancer. Amongst the enormously diverse types of HPVs, HPV16 and HPV18 are most prevalent and responsible for approximately 70% of cervical cancer cases. Current preventive HPV vaccines contain virus-like particles which are composed of L1 major capsid proteins of HPV16 and HPV18. Although bivalent and quadrivalent vaccines exhibit excellent preventive efficacy and safety, they have several limitations. First, since the protection against HPV is type-restricted, the remaining 30% of cervical cancers and warts cannot be prevented. Second, due to the absence of therapeutic activity in the vaccines, people already infected by the HPVs cannot benefit from the current vaccines. Therefore, new preventive and therapeutic vaccines are required for better control of HPV-associated diseases. New developments include a novel nonavalent preventive vaccine that contains five additional cancer-associated HPV types, and it has been tested and approved in 2014. Recently, several groups reported promising clinical results with novel therapeutic HPV vaccines. This review provides an overview of the success of current preventive vaccines and perspectives on the next-generation HPV vaccines.

목차

Ⅰ. INTRODUCTION
Ⅱ. HPV and HPV-associated Diseases
Ⅲ. Current Preventive Vaccines Containing of L1 Virus-like Particles
Ⅳ. Next-generation Preventive Vaccines with Extended Coverage of HPV Types
Ⅴ. Therapeutic HPV Vaccines
Ⅵ. CONCLUSION
REFERENCES

참고문헌 (83)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0