Since its inception, continued development of the field of immuno-oncology remains unmistakable exemplified by the 2018 Nobel Prize in Physiology or Medicine being awarded to James Allison and Tasuku Honjo for their work related to CTLA-4. Being able to analyze a dynamic, fastgrowing field such as immuno-oncology in order to identify emerging areas of interest remains a challenge. Utilizing an NLP-based approach we have previously reported more than 300 emerging concepts in immuno-oncology ranging from therapeutic targets, biomarkers, cancer types to therapy types among others. In this report, we extend our analysis to provide greater context to the previously identified emerging concepts. In doing so, we have identified concept pairs that tend to co-occur with each other uncovering possible new connections between merging concepts. This contextual information may be useful in directing future research efforts in a valuable direction.