Immune cell infiltration-based signature for prognosis and immunogenomic analysis in breast cancer
| Autor: | Yongchun Zuo, Yiyin Cao, Shiyuan Wang, Lei Yang, Chunlu Yu, Qi Zhang |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Oncology medicine.medical_specialty Genotype animal diseases medicine.medical_treatment Breast Neoplasms chemical and pharmacologic phenomena Cohort Studies 03 medical and health sciences 0302 clinical medicine Immune system Breast cancer Internal medicine Biomarkers Tumor Tumor Microenvironment medicine Humans Molecular Biology Chemotherapy business.industry Gene Expression Profiling Cancer Immunotherapy biochemical phenomena metabolism and nutrition Prognosis medicine.disease 030104 developmental biology 030220 oncology & carcinogenesis Meta-analysis bacteria Biomarker (medicine) Female Tumor Escape business Information Systems |
| Zdroj: | Briefings in Bioinformatics. 22:2020-2031 |
| ISSN: | 1477-4054 1467-5463 |
| Popis: | Breast cancer is one of the most human malignant diseases and the leading cause of cancer-related death in the world. However, the prognostic and therapeutic benefits of breast cancer patients cannot be predicted accurately by the current stratifying system. In this study, an immune-related prognostic score was established in 22 breast cancer cohorts with a total of 6415 samples. An extensive immunogenomic analysis was conducted to explore the relationships between immune score, prognostic significance, infiltrating immune cells, cancer genotypes and potential immune escape mechanisms. Our analysis revealed that this immune score was a promising biomarker for estimating overall survival in breast cancer. This immune score was associated with important immunophenotypic factors, such as immune escape and mutation load. Further analysis revealed that patients with high immune scores exhibited therapeutic benefits from chemotherapy and immunotherapy. Based on these results, we can conclude that this immune score may be a useful tool for overall survival prediction and treatment guidance for patients with breast cancer. |
| Databáze: | OpenAIRE |
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