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An immune-related prognostic signature for thyroid carcinoma to predict survival and response to immune checkpoint inhibitors
- Source :
- Cancer Immunology, Immunotherapy. 71:747-759
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Thyroid carcinoma (THCA) is the most common endocrine malignancy, and its incidence is increasing worldwide. Several studies have explored whether the tumor immune microenvironment and immune-related genes (IRGs) influence the prognosis of patients with THCA and can be used to predict the response to immune checkpoint inhibitors (ICIs). We developed an IRG prognostic/risk signature using a bioinformatics method, and its predictive capacity was validated in patients in the test set and the total set. Subsequently, we analyzed the correlation between this IRG prognostic signature and tumor-infiltrating immune cells, tumor mutation burden (TMB), and immune checkpoint protein expression in patients with THCA. With a multivariate analysis, the IRG prognostic signature, which comprised eight IRGs, was identified as an independent prognostic factor. High-risk patients had poor overall survival compared with low-risk patients. Plasma cells, monocytes, and dendritic cells infiltrated differently according to the IRG prognostic signature. The low-risk group had a higher TMB and immunophenoscore (IPS), which indicated a better response to ICIs. The qRT-PCR validated eight IRGs with differential expression in thyroid cancer and normal tissues. We conclude that the IRG prognostic signature may be a useful tool to predict survival and response to ICIs. However, further testing is required to assess the predictive capacity of this IRG prognostic signature.
- Subjects :
- Cancer Research
Immunology
medicine.disease_cause
Malignancy
Thyroid carcinoma
Lymphocytes, Tumor-Infiltrating
Immune system
Databases, Genetic
Biomarkers, Tumor
Tumor Microenvironment
medicine
Humans
Immunology and Allergy
Endocrine system
Molecular Targeted Therapy
Thyroid Neoplasms
Immune Checkpoint Inhibitors
Thyroid cancer
IRGs
Proportional Hazards Models
Mutation
business.industry
Gene Expression Profiling
Immunity
Computational Biology
Prognosis
medicine.disease
Immune checkpoint
Gene Expression Regulation, Neoplastic
Treatment Outcome
ROC Curve
Oncology
Cancer research
business
Algorithms
Subjects
Details
- ISSN :
- 14320851 and 03407004
- Volume :
- 71
- Database :
- OpenAIRE
- Journal :
- Cancer Immunology, Immunotherapy
- Accession number :
- edsair.doi.dedup.....37bcd99f58a0dd1dae476a9e2e4f6254
- Full Text :
- https://doi.org/10.1007/s00262-021-03020-4