Journal
FRONTIERS IN ONCOLOGY
Volume 11, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2021.743703
Keywords
colorectal cancer; redox; gene signature; prognosis; immune infiltration
Categories
Funding
- National Natural Science Foundation of China [81972663, U2004112]
- Key Scientific Research Projects of Institutions of Higher Education in Henan Province [19A310024]
- National Natural Science Foundation of Henan Province [212300410074]
- Science and Technology Project of Henan Provincial Department of Education [21A320036]
- Young and Middle-aged Health Science and Technology Innovation Talents in 2020 [YXKC2020049]
- Henan Province Medical Science and Technology Research Project Joint Construction Project [LHGJ20190003, LHGJ20190055]
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Research has identified gene signatures related to redox in colorectal cancer, which have been proven useful for predicting patient risk and prognosis. Additionally, a close association between risk score and tumor immune infiltration was discovered.
Colorectal cancer (CRC), a seriously threat that endangers public health, has a striking tendency to relapse and metastasize. Redox-related signaling pathways have recently been extensively studied in cancers. However, the study and potential role of redox in CRC remain unelucidated. We developed and validated a risk model for prognosis and recurrence prediction in CRC patients via identifying gene signatures driven by redox-related signaling pathways. The redox-driven prognostic signature (RDPS) was demonstrated to be an independent risk factor for patient survival (including OS and RFS) in four public cohorts and one clinical in-house cohort. Additionally, there was an intimate association between the risk score and tumor immune infiltration, with higher risk score accompanied with less immune cell infiltration. In this study, we used redox-related factors as an entry point, which may provide a broader perspective for prognosis prediction in CRC and have the potential to provide more promising evidence for immunotherapy.
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