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- Title
A Novel Classification and Scoring Method Based on Immune-Related Transcription Factor Regulation Patterns in Gastric Cancer.
- Authors
Wang, Gang-Jian; Huangfu, Long-Tao; Gao, Xiang-Yu; Gan, Xue-Jun; Xing, Xiao-Fang; Ji, Jia-Fu
- Abstract
Background: Transcription factors (TFs) play a crucial role in tumorigenesis and anti-tumor immunity. However, the potential role of large-scale transcription factor regulation patterns in the progression in gastric cancer (GC) is unknown. Methods: We comprehensively assessed the relevance of immune-related TF (IRTF) regulation patterns in anti-tumor immunity and immunotherapy in 1,136 gastric cancer (GC) patients, and evaluated the IRTF score based on IRTF regulation patterns using random forests. Results: Two distinct IRTF regulation patterns were identified, which demonstrating the distinct characteristics in clinical phenotypes, tumor immune microenvironment (TIME), immunogenicity and prognosis in GC. Subsequently, the IRTF score was established to quantify the IRTF regulation pattern for each GC patient. Analysis of large conventional therapy cohorts showed low IRTF score was associated with a better prognosis. In addition, analysis of multiple immunotherapy cohorts showed low IRTF score was also linked to enhanced response to immunotherapy. Conclusion: TF regulation patterns were found to play an important role in the complex immune regulatory relationships in GC. Evaluation of the IRTF regulation patterns in patients will enhance our understanding of immune specificities, and thus, provide effective strategies for personalized therapy.
- Subjects
GENETIC transcription regulation; TRANSCRIPTION factors; STOMACH cancer; IMMUNE response; RANDOM forest algorithms
- Publication
Frontiers in Oncology, 2022, Vol 12, p1
- ISSN
2234-943X
- Publication type
Article
- DOI
10.3389/fonc.2022.887244