Immune Modulation by Chemotherapy or Immunotherapy to Enhance Cancer Vaccines

作者
Genevieve M. Weir,Robert Liwski,Marc Mansour
出处
期刊:Cancers [Multidisciplinary Digital Publishing Institute]
卷期号:3 (3): 3114-3142 被引量:80
标识
DOI:10.3390/cancers3033114
摘要

Chemotherapy has been a mainstay in cancer treatment for many years. Despite some success, the cure rate with chemotherapy remains unsatisfactory in some types of cancers, and severe side effects from these treatments are a concern. Recently, understanding of the dynamic interplay between the tumor and immune system has led to the development of novel immunotherapies, including cancer vaccines. Cancer vaccines have many advantageous features, but their use has been hampered by poor immunogenicity. Many developments have increased their potency in pre-clinical models, but cancer vaccines continue to have a poor clinical track record. In part, this could be due to an inability to effectively overcome tumor-induced immune suppression. It had been generally assumed that immune-stimulatory cancer vaccines could not be used in combination with immunosuppressive chemotherapies, but recent evidence has challenged this dogma. Chemotherapies could be used to condition the immune system and tumor to create an environment where cancer vaccines have a better chance of success. Other types of immunotherapies could also be used to modulate the immune system. This review will discuss how immune modulation by chemotherapy or immunotherapy could be used to bolster the effects of cancer vaccines and discuss the advantages and disadvantages of these treatments.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
白时完成签到,获得积分10
刚刚
啊啊完成签到,获得积分20
2秒前
充电宝的应助被Hy采纳,获得10
2秒前
3秒前
3秒前
4秒前
111111发布了新的文献求助10
4秒前
5秒前
6秒前
大模型的应助被zhangxu采纳,获得10
6秒前
曾经土豆完成签到,获得积分10
6秒前
6秒前
6秒前
无奈钻石完成签到,获得积分10
6秒前
地瓜儿完成签到,获得积分10
7秒前
沉静尔曼完成签到,获得积分10
7秒前
yuyu完成签到,获得积分10
7秒前
8秒前
无花果的应助被寒梅恋雪采纳,获得10
8秒前
大模型的应助被鱼头星星采纳,获得10
8秒前
YYY发布了新的文献求助10
8秒前
ZHANG发布了新的文献求助50
9秒前
纪诗筠发布了新的文献求助10
9秒前
bc完成签到,获得积分10
10秒前
super欢发布了新的文献求助10
10秒前
思源的应助被accept采纳,获得10
11秒前
虚拟的凝海完成签到,获得积分10
11秒前
11秒前
12秒前
错愕完成签到 ,获得积分10
12秒前
Tictor发布了新的文献求助20
12秒前
陌生人完成签到,获得积分10
13秒前
0823发布了新的文献求助10
14秒前
科研通AI6.4的应助被八月采纳,获得10
14秒前
孟一帆发布了新的文献求助10
15秒前
pray5959完成签到,获得积分10
15秒前
16秒前
17秒前
小猫疯完成签到 ,获得积分10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
拉伸高分子熔体中缠结行为的模拟和小角中子散射研究 1080
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
Cellulose and Cellulose Derivatives: Synthesis, Modification and Applications 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8143426
求助须知:如何正确求助?哪些是违规求助? 9542874
关于积分的说明 21654578
捐赠科研通 7728801
什么是DOI,文献DOI怎么找? 3422053
关于科研通互助平台的介绍 2547395
邀请新用户注册赠送积分活动 2464861