We recently presented our finding using a natural language programming based methodology for analyzing publications related to immune-oncology sourced from the CAS Content Collection TM , the largest human-curated repository of scientific publications, and developed CAS TrendScape maps showcasing major concepts in immuno-oncology. These maps provide a wealth of information in a condensed and easy-to-read format by clustering similar concepts together. Now, in this follow up report we extend our analysis further -by examining the co-occurrences of concepts in the literature, we can identify promising intersections of concepts that suggest where the next breakthrough is likely to happen. This approach drives innovation forward by helping researchers focus on emerging ideas and make their next discovery faster.