甲状腺癌(TC)是一种增长迅速的癌症，易于复发。与此同时，在免疫疗法中，抗体依赖性细胞吞噬(ADCP)吞噬相关调节因子(PR)发挥着重要作用。本研究旨在探讨特定PR在TC中的预测价值。本研究的目的是通过检索RNA-seq和 Clustered Regularly Interspaced Short Palindromic Repeats-cas9数据，并使用基于LASSO的算法构建PRs-signature，从而识别TC患者中的特定PR。随后，通过各种统计分析方法，包括Cox回归分析、Kaplan-Meier分析和接受者操作特征曲线分析，探讨PRs-signature对复发无病生存(RFS)的预测价值。此外，使用CIBERSORT、单样本基因集富集分析和MCP-counter算法分析风险组的免疫细胞含量，特别关注巨噬细胞与特定PR之间的相关性。我们识别了36个特定的PR，并使用5个预测性PR(CAPN6、MUC21、PRDM1、SEL1L3和CPQ)构建了PRs-signature。接受者操作特征分析显示，PRs-signature预测能力良好，PRs风险评分作为独立的预后因素与Cox回归分析所显示的RFS相关。与低风险组相比，高风险组观察到更低的RFS。三个算法的结果表明，我们的PRs-signature可能对巨噬细胞含量和ADCP具有一定的意义。有趣的是，低风险组的mRNA表达水平比高风险组的PDCD1、CTLA4和巨噬细胞前炎症因子更高。为了进行预测管理，本研究开发了一种预测模型。此外，本研究揭示了某些PR与TC患者之间的相互作用。此外，PRs-signature可以预测免疫疗法反应、巨噬细胞含量和ADCP状态。TC患者将通过了解新的治疗策略而受益。版权所有©2023作者。由Wolters Kluwer Health，Inc.发表。

Thyroid cancer (TC) is one of the growing cancers and is prone to recurrence. Meanwhile, in immunotherapy, antibody-dependent cellular phagocytosis (ADCP) phagocytosis related regulators (PRs) play an important role. This study aims to investigate the prognostic value of specific PRs in TC.The purpose of this study was to identify specific PRs in TC patients by retrieving RNA-seq and Clustered Regularly Interspaced Short Palindromic Repeats-cas9 data and an algorithm based on LASSO was used to construct the PRs-signature. Subsequently, prognosis value of PRs-signature for recurrence-free survival (RFS) was explored through various statistical analysis, including Cox regression analysis, Kaplan-Meier analysis, and receiver operating characteristic curve. Additionally, an analysis of immune cell content by risk group was conducted using CIBERSORT, single sample gene set enrichment analysis and MCP-counter algorithms, with a particular focus on the correlation between macrophages and specific PRs.We identified 36 specific PRs, and a PRs-signature was constructed using 5-prognostic PRs (CAPN6, MUC21, PRDM1, SEL1L3, and CPQ). Receiver operating characteristic analysis showed that predictive power of PRs-signature was decent, and the PRs risk score as an independent prognostic factor was found to be correlated with RFS showed by multivariate cox regression analysis. Meanwhile, a lower RFS was observed in the high-risk group than in the low-risk group. The results of the 3 algorithms suggested that our PRs-signature may have certain significance for macrophage content and ADCP. Interestingly, the low-risk group had higher levels of mRNA expression than the high-risk group at PDCD1, CTLA4, and pro-inflammatory factors from macrophage.For the purpose of prognostic management, this study developed a prediction model. And the cross-talk between certain PRs and TC patients was revealed in this study. Besides, the PRs-signature can predict the immunotherapy response, macrophage content, and ADCP status. TC patients will benefit from these developments by gaining insight into novel therapeutic strategies.Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.