PMID- 33620716 OWN - NLM STAT- MEDLINE DCOM- 20220118 LR - 20220118 IS - 1720-8386 (Electronic) IS - 0391-4097 (Linking) VI - 44 IP - 10 DP - 2021 Oct TI - Development and validation of a three-immune-related gene signature prognostic risk model in papillary thyroid carcinoma. PG - 2153-2163 LID - 10.1007/s40618-021-01514-7 [doi] AB - PURPOSE: Increasing evidence indicates that there is a correlation between papillary thyroid carcinoma (PTC) prognosis and the immune signature. Our goal was to construct a new prognostic tool based on immune genes to achieve more accurate prognosis predictions and earlier diagnoses of PTC. METHODS: The 493 PTCs samples and 58 tumor-adjacent normal tissues were obtained from The Cancer Genome Atlas database (TCGA). Immune genes were obtained from the ImmPort database. First, this cohort was randomly divided into training cohort and testing cohort. Second, the differentially expressed (DE) immune genes from the training set were used to construct the prognostic model. Then, the testing and entire data cohorts were used to validate the model, and the data were analyzed to determine the correlation of the clinical prognostic model with immune cell infiltration and expression profiles of human leukocyte antigen (HLA) genes. Finally, an analysis of the gene ontology (GO) annotation was performed. RESULTS: A total of 189 upregulated and 128 downregulated DE immune genes were identified. We developed and validated a three-immune gene model for PTC that includes Hsp70, NOX5, and FGF23. This model was demonstrated to be an independent prognostic variable. In addition, the overall immune activity of the high-risk group was higher than that of the low-risk group. CONCLUSIONS: We developed and validated a three-immune gene model for PTC that includes HSPA1A, NOX5, and FGF23. This model can be used as a validated tool to predict outcomes in PTC. CI - (c) 2021. Italian Society of Endocrinology (SIE). FAU - Gan, X AU - Gan X AD - Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China. AD - Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China. FAU - Guo, M AU - Guo M AD - Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China. FAU - Chen, Z AU - Chen Z AD - Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China. FAU - Li, Y AU - Li Y AD - Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China. FAU - Shen, F AU - Shen F AD - Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China. AD - Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China. FAU - Feng, J AU - Feng J AD - Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China. AD - Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China. FAU - Cai, W AU - Cai W AD - Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China. AD - Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China. FAU - Xu, B AU - Xu B AUID- ORCID: 0000-0001-6384-6685 AD - Department of Thyroid Surgery, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China. gzsrmxu@yeah.net. AD - Department of Thyroid Surgery, School of Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China. gzsrmxu@yeah.net. LA - eng GR - 20141A011011/Guangzhou medicine and healthcare technology projects/ GR - 20151A011007/Guangzhou medicine and healthcare technology projects/ GR - 20161A011008/Guangzhou medicine and healthcare technology projects/ PT - Journal Article PT - Validation Study DEP - 20210223 PL - Italy TA - J Endocrinol Invest JT - Journal of endocrinological investigation JID - 7806594 RN - 0 (Biomarkers) SB - IM MH - Biomarkers/*metabolism MH - Female MH - Follow-Up Studies MH - Gene Expression Profiling MH - *Gene Expression Regulation, Neoplastic MH - Humans MH - Lymphocytes, Tumor-Infiltrating/*immunology MH - Male MH - Middle Aged MH - Prognosis MH - Thyroid Cancer, Papillary/genetics/immunology/*pathology MH - Thyroid Neoplasms/genetics/immunology/*pathology MH - *Transcriptome OTO - NOTNLM OT - Immune gene OT - Papillary thyroid carcinoma OT - Prognosis OT - Risk model OT - TCGA EDAT- 2021/02/24 06:00 MHDA- 2022/01/19 06:00 CRDT- 2021/02/23 12:18 PHST- 2020/09/05 00:00 [received] PHST- 2021/01/19 00:00 [accepted] PHST- 2021/02/24 06:00 [pubmed] PHST- 2022/01/19 06:00 [medline] PHST- 2021/02/23 12:18 [entrez] AID - 10.1007/s40618-021-01514-7 [pii] AID - 10.1007/s40618-021-01514-7 [doi] PST - ppublish SO - J Endocrinol Invest. 2021 Oct;44(10):2153-2163. doi: 10.1007/s40618-021-01514-7. Epub 2021 Feb 23.