Zhong Ying, Ren Xinyu, Cao Xi, Xu Yali, Song Yu, Zhou Yidong, Mao Feng, Shen Songjie, Wang Zhe, Sun Qiang
Department of Breast Disease, Peking Union Medical College Hospital, Beijing, China.
Department of Pathology, Peking Union Medical College Hospital, Beijing, China.
Front Oncol. 2022 Oct 18;12:871786. doi: 10.3389/fonc.2022.871786. eCollection 2022.
Immunotherapy plays an important role in the treatment of triple-negative breast cancer (TNBC). This study aimed to identify immune-related genes that are associated with the prognosis of patients with TNBC as possible targets of immunotherapy, alongside their related tumor-infiltrating lymphocytes (TILs).
The clinical data and gene expression profiles of patients with breast cancer were extracted from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and divided into training (n = 1,053) and verification (n = 508) groups. CIBERSORT was used to predict the differences in immune cell infiltration in patient subsets that were stratified according to risk. Gene Ontology (GO) enrichment analysis was used to identify pathways associated with immune-related genes in patient subsets that were stratified according to risk. The clinical data and insulin-like growth factor 2 receptor (IGF2R) expression profiles of patients with breast cancer were extracted from METABRIC. The expression of IGF2R and TILs were evaluated in a cohort containing 282 untreated patients with TNBC. The correlations of IGF2R expression, TILs, and clinicopathological parameters with patient prognosis were analyzed in the whole cohort.
The prognostic model, which was composed of 26 immune-related gene pairs, significantly distinguished between high- and low-risk patients. Univariate and multivariate analyses indicated that the model was an independent prognostic factor for breast cancer. Among the identified genes, the expression of IGF2R significantly distinguished between high- and low-risk patients in TCGA ( = 0.008) and in METABRIC patients ( 0.001). The expression of IGF2R was significantly associated with clinical risk factors such as TNBC, estrogen receptor (ER)-negative expression, human epidermal growth factor receptor 2 (HER2)-positive expression, and age ≤60 years old in METABRIC patients. In addition, the patients with IGF2R-positive expression had lower disease-free survival (DFS) rates than those with IGF2R-negative expression in the TNBC cohort (67.8% vs. 78.5%, = 0.023). IGF2R expression also was significantly negatively correlated with TILs, particularly with CD8 TILs and CD19 TILs in the cohort of patients with TNBC.
IGF2R can be used as an indicator of a poor prognosis in patients with TNBC and as a potential target and research direction for TNBC immunotherapy in the future.
免疫疗法在三阴性乳腺癌(TNBC)的治疗中发挥着重要作用。本研究旨在确定与TNBC患者预后相关的免疫相关基因,将其作为免疫治疗的潜在靶点,并研究其相关的肿瘤浸润淋巴细胞(TILs)。
从癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)中提取乳腺癌患者的临床数据和基因表达谱,并分为训练组(n = 1053)和验证组(n = 508)。使用CIBERSORT预测根据风险分层的患者亚组中免疫细胞浸润的差异。采用基因本体(GO)富集分析确定根据风险分层的患者亚组中与免疫相关基因相关的通路。从METABRIC中提取乳腺癌患者的临床数据和胰岛素样生长因子2受体(IGF2R)表达谱。在一个包含282例未经治疗的TNBC患者的队列中评估IGF2R和TILs的表达。在整个队列中分析IGF2R表达、TILs以及临床病理参数与患者预后的相关性。
由26对免疫相关基因组成的预后模型能够显著区分高风险和低风险患者。单因素和多因素分析表明,该模型是乳腺癌的独立预后因素。在鉴定出的基因中,IGF2R的表达在TCGA中(P = 0.008)以及在METABRIC患者中(P < 0.001)显著区分高风险和低风险患者。在METABRIC患者中,IGF2R的表达与TNBC、雌激素受体(ER)阴性表达、人表皮生长因子受体2(HER2)阳性表达以及年龄≤60岁等临床风险因素显著相关。此外,在TNBC队列中,IGF2R阳性表达的患者无病生存率(DFS)低于IGF2R阴性表达的患者(67.8%对78.5%,P = 0.023)。在TNBC患者队列中,IGF2R表达也与TILs显著负相关,尤其是与CD8 TILs和CD19 TILs。
IGF2R可作为TNBC患者预后不良的指标,以及未来TNBC免疫治疗的潜在靶点和研究方向。