For the past few decades, the mechanisms of immune responses to cancer have been exploited
extensively and significant attention has been given into exploiting the therapeutic potential of the
immune system. Cancer immunotherapy has been established as a promising innovative treatment
for many forms of cancer. Immunotherapy has gained its prominence through various strategies
including; cancer vaccines, monoclonal antibodies (mAbs), adoptive T cell cancer therapy and
immune checkpoint therapy. However, the full potential of cancer immunotherapy is yet to be
attained. Recent studies have identified the use of bioinformatics tools as a viable option to help
transform the treatment paradigm of several tumors by providing a therapeutically efficient method
of cataloging, predicting and selecting immunotherapeutic targets which are known bottlenecks in
the application of immunotherapy. Herein, we gave an insightful overview of the types of
immunotherapy techniques used currently, their mechanisms of action and discussed some
bioinformatics tools and databases applied in the immunotherapy of cancer. This review also
provides some future perspectives in the use of bioinformatics tools for immunotherapy.
Keywords: Cancer immunotherapy, immune system, monoclonal antibody, bioinformatics.
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