卵巢癌铂类耐药的 15 个基因预后特征与 TFAP2B 功能的关系

Yang Hu, Ping Wang, Jian Xiang, Lu Han, Biyun Zhang, Xiaohua Liu, Hua Nie, Guobing Chen, Weibing Qin
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引用次数: 0

摘要

对铂类药物的耐药性是卵巢癌化疗的主要挑战。因此,开发铂金反应特征对于卵巢癌的精准治疗至关重要。现有的铂定量特征容易受到批次效应和测序平台变化的影响。针对这一问题,我们开发了一种基于转录组的铂金特征,命名为 PRSM,由 15 个基因组成,基于样本内预后和基因相对表达排序,预测 OV 中个体对铂金的反应。与之前的定量特征相比,PRSM 模型显示出更高的分类准确性。与敏感样本相比,PRSM分类的耐药样本总生存率较低、SNV新抗原负荷较低、肿瘤突变负荷较低,甲基化模式也不同。通路分析显示,耐药肿瘤中的 MYC 靶点 V2 和氧化磷酸化被激活。单细胞分析强调了NK细胞和上皮细胞在抗药性中的作用。在15个核心基因中,有5个(TFAP2B、KRT81、PAGE1、CRNN、UGT2B17)与不良预后有关,其中TFAP2B对PRSM的贡献最大。TFAP2B在A2780细胞中的过表达增强了顺铂敏感性,而在A2780cis细胞中则抑制了生长。简而言之,我们的研究结果为卵巢癌的铂类耐药性提供了一个多维视角,引入了一个强大的预测模型,并确定了潜在的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 15-Gene prognostic signature with TFAP2B functioning in Platinum Resistance of Ovarian Carcinoma
Resistance to platinum is the main challenge in the chemotherapy of ovarian cancer (OV). Therefore, developing a response signature to platinum is essential for the precision therapy of OV. Existing quantitative signatures of platinum are susceptible to batch effects and sequencing platform variations. To address this, we developed a transcriptome-based platinum signature, named PRSM, consisting of 15 genes, based on within-sample prognostic and relative expression ordering of genes, to predict individual responses to platinum in OV. The PRSM model demonstrated superior classification accuracy compared to previous quantitative signatures. Resistant samples classified by PRSM exhibited poorer overall survival, lower SNV neoantigen load, tumor mutational burden, and distinct methylation patterns compared to sensitive samples. Pathway analysis revealed the activation of MYC targets V2 and oxidative phosphorylation in resistant tumors. Single-cell analysis highlighted the roles of NK and epithelial cells in resistance. Among the 15 core genes, five (TFAP2B, KRT81, PAGE1, CRNN, UGT2B17) were linked to poor prognosis, with TFAP2B having the highest contribution to PRSM. Overexpression of TFAP2B in A2780 cells enhanced cisplatin sensitivity, while in A2780cis cells, it inhibited growth. In brief, our findings provide a multi-dimensional view of platinum resistance in ovarian cancer, introducing a robust predictive model and identifying potential therapeutic targets.
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