Frontiers in Immunology · 2021 · 74 citations · 35 references
MedicineImmunologyOncologyInflammationMolecular OncologyTumor ImmunologyCancer BiomarkersColorectal CancerImmune Checkpoint RegulationImmuno-oncology BiomarkersInflammatory BiomarkersMolecular Tumor ProfilingCd4 Positive T CellsCd8 Positive T CellsCd8 T Cell ActivationColorectal Cancer PrognosisImmune Checkpoint BiomarkersImmune Gene Expression SignaturesImmune Signature ProfilingTumor Microenvironment Biomarkers
Background: A considerable number of patients with stage II/III colorectal cancer (CRC) will relapse within 5 years after surgery, which is a leading cause of death in early-stage CRC. The current TNM stage system is limited due to the heterogeneous clinical outcomes displayed in patients of same stage. Therefore, searching for a novel tool to identify patients at high recurrence-risk for improving post-operative individual management is an urgent need. Methods: Using four independent public cohorts and qRT-PCR data from 66 tissues, we developed and validated a recurrence-associated immune signature (RAIS) based on global immune genes. The clinical and molecular features, tumor immune microenvironment landscape, and immune checkpoints profiles of RAIS were also investigated. Results: In five independent cohorts, this novel scoring system was proven to be an independent recurrent factor and displayed excellent discrimination and calibration in predicting the recurrence-risk at 1~5 years. Further analysis revealed that the high-risk group displayed high mutation rate of TP53, while the low-risk group had more abundance of activated CD4+/CD8+ T cells and high expression of PD-1/PD-L1. Conclusions: The RAIS model is highly predictive of recurrence in patients with stage II/III CRC, which might serve as a powerful tool to further optimize decision-making in adjuvant chemotherapy and immunotherapy, as well as tailor surveillance protocol for individual patients.
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Inferring tumour purity and stromal and immune cell admixture from expression data
Kosuke Yoshihara, Maria Shahmoradgoli, Emmanuel Martínez et al. · Nature Communications · 2013 · 10.7K citations · Full text
Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response
Peng Jiang, Shengqing Gu, Deng Pan et al. · Nature Medicine · 2018 · 5.6K citations · Full text
Life Sciences, Immunology, Oncology +14