School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2Nd Rd, Guangzhou, 510080, China.
The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou, 510630, China.
BMC Cancer. 2023 Aug 11;23(1):743. doi: 10.1186/s12885-023-10964-6.
The prognostic role of either forkhead box A1 (FOXA1) or anterior gradient 2 (AGR2) in breast cancer has been found separately. Considering that there were interplays between them depending on ER status, we aimed to assess the statistical interaction between AGR2 and FOXA1 on breast cancer prognosis and examine the prognostic role of the combination of them by ER status.
AGR2 and FOXA1 expression in tumor tissues were evaluated with tissue microarrays by immunohistochemistry in 915 breast cancer patients with follow up data. The expression levels of these two markers were treated as binary variables, and many different cutoff values were tried for each marker. Survival and Cox proportional hazard analyses were used to evaluate the relationship between AGR2, FOXA1 and prognosis, and the statistical interaction between them on the prognosis was assessed on multiplicative scale.
Statistical interaction between AGR2 and FOXA1 on the PFS was significant with all the cutoff points in ER-positive breast cancer patients but not ER-negative ones. Among ER-positive patients, the poor prognostic role of the high level of FOXA1 was significant only in patients with the low level of AGR2, and vice versa. When AGR2 and FOXA1 were considered together, patients with low levels of both markers had significantly longer PFS compared with all other groups.
There was a statistical interaction between AGR2 and FOXA1 on the prognosis of ER-positive breast cancer. The combination of AGR2 and FOXA1 was a more useful marker for the prognosis of ER-positive breast cancer patients.
叉头框蛋白 A1(FOXA1)或前梯度 2(AGR2)在乳腺癌中的预后作用已分别被发现。考虑到它们之间存在 ER 状态依赖性的相互作用,我们旨在评估 AGR2 和 FOXA1 之间在乳腺癌预后中的统计学相互作用,并根据 ER 状态检查它们组合的预后作用。
使用组织微阵列和免疫组织化学法,对 915 例具有随访数据的乳腺癌患者的肿瘤组织中 AGR2 和 FOXA1 的表达进行评估。这两个标志物的表达水平被视为二分类变量,并为每个标志物尝试了许多不同的截断值。生存和 Cox 比例风险分析用于评估 AGR2、FOXA1 与预后之间的关系,以及它们在预后方面的乘法尺度上的统计学相互作用。
在 ER 阳性乳腺癌患者中,AGR2 和 FOXA1 之间在 PFS 上的统计学相互作用在所有截断值上均具有显著性,但在 ER 阴性患者中则没有。在 ER 阳性患者中,高水平 FOXA1 的不良预后作用仅在 AGR2 水平低的患者中显著,反之亦然。当同时考虑 AGR2 和 FOXA1 时,与其他所有组相比,两个标志物水平均低的患者的 PFS 明显更长。
在 ER 阳性乳腺癌的预后中,AGR2 和 FOXA1 之间存在统计学相互作用。AGR2 和 FOXA1 的组合是评估 ER 阳性乳腺癌患者预后的更有用标志物。