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
Biki Gupta (영남대학교) 용철순 (영남대학교) 김종오 (영남대학교)
저널정보
한국약제학회 Journal of Pharmaceutical Investigation Journal of Pharmaceutical Investigation 제47권 제6호
발행연도
2017.11
수록면
461 - 473 (13page)

이용수

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

초록· 키워드

오류제보하기
Combination therapy, which targets different mechanisms responsible for tumor development and proliferation, has become the norm for modern cancer treatment. The basic purpose for combining treatment agents or modalities varies between obtaining synergistic anticancer effects, reducing the toxic effects of the treatment agents, and suppressing multidrug resistant variants of cancer cells. Nanoscale therapeutic carriers enhance the accessibility of combination agents to cancer sites, prevent nonspecific accumulation of therapeutic agents in peripheral organs, and help control and direct the amount and rate of release of therapeutic agents at tumoral sites. Solid matrixbased lipid nanoparticles, comprised of solid lipid nanoparticles and nanostructured lipid carriers, have recently been popular for delivering various therapeutic agents, including diverse combinations, to cancer cells. Because of their incredible physicochemical characteristics, ability to incorporate diverse therapeutic agents, and ability to modify nanoparticle surfaces with targeting ligands or other diagnostic and therapeutic agents, solid matrix-based lipid nanoparticles have been widely reported for co-delivery of various chemotherapeutic drug combinations, including chemotherapeutic drugs and genetic materials, chemotherapeutic drugs and immunotherapeutic agents, chemotherapeutic drugs and therapeutic peptides, and other miscellaneous agents. Thus, the immense potential for efficient delivery of these agents to achieve effective cancer therapy is illustrated.

목차

등록된 정보가 없습니다.

참고문헌 (98)

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