Identification of an Metabolic Related Risk Signature Predicts Prognosis in Cervical Cancer and Correlates With Immune Infiltration.
Identification of an Metabolic Related Risk Signature Predicts Prognosis in Cervical Cancer and Correlates With Immune Infiltration.
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代谢相关风险特征的识别可预测宫颈癌的预后并与免疫浸润相关
DOI：
10.3389/fcell.2021.677831
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发表时间：
2021
影响因子：
5.5
通讯作者：
Guo H
中科院分区：
文献类型：
--
作者：
Shang C;Huang J;Guo H
肿瘤代谢重编程与宫颈癌的进展和预后密切相关。然而，在CC的免疫微环境中肿瘤代谢的潜在重塑机制在很大程度上仍然未知。在这项研究中，我们首先进行微阵列分析，以确定差异代谢基因表达。采用LASSO-Cox回归分析建立了一个新的5个代谢相关基因（MRG）特征，包括P4 HA 1、P4 HA 2、ABL 2、GUTP和CYP 4F 12，以更好地预测CC的预后。该信号可以揭示肿瘤微环境（TME）的代谢特征和监测肿瘤微环境的免疫状态。其中，P4 HA 2在CC组织中显著上调，并与CD 8 +T细胞呈负相关。P4 HA 2的敲低抑制了脂滴（LDs）的积累和癌细胞的侵袭。此外，P4 HA 2敲低显著抑制PD-L1表达。本研究为评估CC的预后提供了一种新的可行的方法，并探索了导航代谢途径以增强抗肿瘤免疫和免疫治疗的潜在价值。
The tumor metabolic reprogramming contributes to the progression and prognosis of cervical cancer (CC). However, the potential remodeling mechanisms of tumor metabolism in the immune microenvironment of CC remain largely unknown. In this study, we first performed microarray analysis to identify differential metabolic gene expression. A novel 5-metabolic-related genes (MRGs) signature comprising P4HA1, P4HA2, ABL2, GLTP, and CYP4F12 was established to better predict prognosis of CC using LASSO-Cox regression analysis. This signature could reveal the metabolic features and monitor the immune status of tumor microenvironment (TME). Among them, P4HA2 was significantly upregulated in CC tissues and negatively correlated with CD8+T cells. Knockdown of P4HA2 inhibited lipid droplets (LDs) accumulation and cancer cells invasion. Moreover, P4HA2 knockdown significantly suppressed PD-L1 expression. This study provides a new and feasible method for evaluating the prognosis of CC and explores the potential value to navigate metabolic pathways to enhance anti-tumor immunity and immunotherapy.