Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Cancer Immunotherapy Using Interleukin-2 and Interleukin-2-Activated Lymphocytes

Authors: M T Lotze; S A Rosenberg;

Cancer Immunotherapy Using Interleukin-2 and Interleukin-2-Activated Lymphocytes

Abstract

The development of immunologic approaches to the treatment of cancer has progressed through major changes in the past five years. In the 1970s considerable enthusiasm existed for immunotherapeutic approaches to cancer based on attempts to provide nonspecific stimulation of the host immune system in the hope that this general increase in immune reactiv­ ity would lead to an increased reactivity to putative tumor antigens on growing cancers. This approach was based on minimal experimental data from animal tumor models. A large number of clinical trials in humans utilized attempts to stimulate the immune system nonspecifically. Using substances such as Bacillus Calmette-Guerin (BCG), methenol-extracted residue (MER), Corynebacterium parvum, levamisole, and other immune stimulators, researchers treated patients with extensive tumor, as well as with minimal tumor burdens. This experience was almost universally unsuccessful and, both in animal tumor model systems and in the human, has largely been abandoned (I). An alternate approach to cancer immunotherapy can be categorized as "passive" or "adoptive" immunotherapy, in which the tumor-bearing host receives the systemic transfer of immunologic reagents such as antibodies or reactive cells already possessing antitumor reactivity (2-5). Because the

Keywords

Clinical Trials as Topic, Lymphokines, Immunization, Passive, Drug Tolerance, Neoplasms, Experimental, Lymphocyte Activation, Rats, Killer Cells, Natural, Mice, Neoplasms, Animals, Humans, Interleukin-2, Immunotherapy, Lymphocytes

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    386
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
386
Top 10%
Top 1%
Top 1%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!