Department of Pathology, Ilsan Paik Hospital, Inje University College of Medicine, Goyang-si, Gyeonggi-do, Republic of Korea.
Department of Pathology, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.
Cancer Med. 2024 Oct;13(19):e70305. doi: 10.1002/cam4.70305.
FOXC1 and ERK1-2 are proteins implicated in aggressive biological behavior of various malignancies including lymphomas.
We investigate the additive prognostic value of stromal FOXC1 expression and tumor phosphorylated ERK1-2 (pERK1-2) expression to the established National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI), in 92 diffuse large B-cell lymphoma (DLBCL) cases. Multidimensional analysis using statistics and machine learning (ML) models assessed prognostic value of established clinicopathologic variables with stromal FOXC1 and tumor pERK1-2 expressions.
Both high FOXC1 stroma group and high pERK1-2 tumor group were significantly associated with shorter progression-free survival (PFS) and overall survival (OS) compared with low group (p = 0.015, 0.034 and p = 0.025, 0.025 each respectively). In multivariable analysis, high FOXC1 stromal expression was an independent prognostic factor of OS (p = 0.037). The addition of stromal FOXC1 and tumor pERK1-2 to the NCCN-IPI score significantly improved prediction of time to death compared with NCCN-IPI score alone (Harrell's C-index = 0.801 vs. 0.764; p = 0.030). ML models reconfirmed the addition of stromal FOXC1 expression and tumor pERK1-2 to NCCN-IPI score had the highest C-index (0.952) among combinations. Stromal FOXC1 and tumor pERK1-2 were determinants of DLBCL prognosis, whose addition significantly improved prognostic performance of the NCCN-IPI.
FOXC1 和 ERK1-2 蛋白与各种恶性肿瘤(包括淋巴瘤)的侵袭性生物学行为有关。
我们研究了基质 FOXC1 表达和肿瘤磷酸化 ERK1-2(pERK1-2)表达对已建立的国家综合癌症网络国际预后指数(NCCN-IPI)的附加预后价值,共纳入 92 例弥漫性大 B 细胞淋巴瘤(DLBCL)病例。使用统计和机器学习(ML)模型的多维分析评估了基质 FOXC1 和肿瘤 pERK1-2 表达与既定临床病理变量的预后价值。
FOXC1 高基质组和 pERK1-2 高肿瘤组的无进展生存期(PFS)和总生存期(OS)明显短于低组(p=0.015,0.034 和 p=0.025,0.025 分别)。在多变量分析中,FOXC1 高基质表达是 OS 的独立预后因素(p=0.037)。与仅 NCCN-IPI 评分相比,FOXC1 基质和肿瘤 pERK1-2 表达的加入显著改善了死亡时间的预测(Harrell's C 指数=0.801 vs. 0.764;p=0.030)。ML 模型再次证实,与其他组合相比,FOXC1 基质表达和肿瘤 pERK1-2 的加入使 NCCN-IPI 评分的 C 指数最高(0.952)。FOXC1 基质和肿瘤 pERK1-2 是 DLBCL 预后的决定因素,其加入显著提高了 NCCN-IPI 的预后性能。