Immuno-oncology Research

Immuno-oncology research is one of the most dynamic areas of cancer research

Immuno-oncology is considered by some to be one of the most promising areas of research in the world of anti-cancer therapeutics. Aimed at generating a cancer immunotherapy, immuno-oncology manipulates the body’s own immune response to mount an attack against tumor cells.

Recent breakthroughs in immuno-oncology research translate into a paradigm shift with regards to attacking advancing cancer. The benefits of immuno-oncology have resulted in long-lasting tumor regression where surgery, radiotherapy, chemotherapy, and targeted therapy proved less effective.

There are several approaches within immuno-oncology research, including checkpoint inhibitor therapy, adoptive cell therapy (ACT), dendritic cell therapy, and cancer vaccine development. Figure 1 below depicts the adapted cancer-immunity cycle and the stages that can be impacted by discoveries within each research area. Thermo Fisher Scientific strives to provide the most innovative tools and educational assets to advance your immuno-oncology research. The categories below offer access to resources for each immuno-oncology research approach.

Stages of the adapted cancer-immunity cycle

Figure 1. Stages of the adapted cancer-immunity cycle [1] can be impacted by I-O approaches such as checkpoint inhibition, CAR T-cell therapy, and cancer vaccines, as indicated by the icons.

Featured categories

Find workflow tools for genomic and proteomic biomarker discovery, verification, and validation, including assays and solutions from basic research to clinical trials and clinical assays.

Discover chimeric antigen receptor (CAR) T-cell therapy tools from sequencing and cell engineering to T-cell activation and expansion, including scalable solutions that help get you from basic research to the clinic.

Find robust transfection solutions, gene-to-protein services, and genomic biomarker tools to develop vaccine therapies.

Discover essential tools for robust analysis and characterization of immuno-oncology experiments.

Find solutions to support characterization and verification steps unique to immuno-oncology research.

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