ReviewACS omega2025
Emerging Concepts in Immuno-Oncology: Insights from Natural Language Processing-Driven Co-Occurrence Analysis.
Review in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immuno-oncology, a rapidly evolving field at the forefront of cancer research, leverages the body's immune system to fight cancer. In this follow-up report, we extend our natural language processing-based analysis to pinpoint the context of emergence of the previously identified emerging concepts. To achieve this relational analysis, we devised a method to identify terms co-occurring in a single sentence in the title or abstract of >350,000 journal and patent publications. The focus of the current study was on intergroup co-occurrences, namely between therapeutic targets, biomarkers, types of therapy, and types of cancer. In our discussion, we have highlighted potentially emerging co-occurring concept pairs between each of the groups exhibiting rapid growth in publications over the past few years but an overall small number of publications. This analysis provides contextual information that may be useful in directing future research efforts in a valuable direction.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.