TY -的A2 - Tu, Wen-Jun盟——吴Jun-yi盟——秦,君非盟- Li Lei盟——张Kun-dong AU - Chen Yi-sheng AU - Li Yang盟——金道盟——徐Jun-ming PY - 2021 DA - 2021/08/20 TI -角色免疫/甲基化/自噬的景观在单细胞基因型和中风风险乳腺癌微环境SP - 5633514六世- 2021 AB -本研究试图执行综合分析免疫/甲基化/自噬的景观在乳腺癌预后和单细胞基因型。乳腺癌复发风险评分(BCRRS)和乳腺癌预后风险评分(BCPRS)测定基于6预后IMAAGs从TCGA-BRCA获得队列。BCRRS BCPRS,分别被用来构造一个风险总体存活率和无进展生存率的预测模型。模型的预测能力是评估使用的临床数据。分析表明,BCRRS与中风的风险很高。此外,PPI和drug-ceRNA网络基于BCPRS被构造的差异。单个细胞的基因通过集成scRNA-seq BCPRS-related TNBC样本根据聚类结果的基因。本研究的结果显示了潜在的监管IMAAGs对乳腺癌肿瘤微环境的影响。高0.856和0.842得到的auc OS和PFS预后模型,分别。scRNA-seq分析显示高表达水平的脂肪细胞和脂肪组织巨噬细胞在高BCPRS集群(atm)。 Moreover, analysis of ligand-receptor interactions and potential regulatory mechanisms were performed. The LINC00276&MALAT1/miR-206/FZD4-Wnt7b pathway was also identified which may be useful in future research on targets against breast cancer metastasis and recurrence. Neural network-based deep learning models using BCPRS-related genes showed that these genes can be used to map the tumor microenvironment. In summary, analysis of IMAAGs, BCPRS, and BCRRS provides information on the breast cancer microenvironment at both the macro- and microlevels and provides a basis for development of personalized treatment therapy. SN - 1942-0900 UR - https://doi.org/10.1155/2021/5633514 DO - 10.1155/2021/5633514 JF - Oxidative Medicine and Cellular Longevity PB - Hindawi KW - ER -