Jiang Ruibin, Jin Bo, Sun Yuting, Chen Zhongjian, Wan Danying, Feng Jianguo, Ying Lisha, Peng Chanjuan, Gu Linhui
Experimental Research Center, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, P.R. China.
College of Life Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, P.R. China.
Oncol Lett. 2024 Oct 24;29(1):26. doi: 10.3892/ol.2024.14772. eCollection 2025 Jan.
Ovarian cancer is the third most common gynecological malignancy worldwide and the fifth leading cause of cancer-related death among women. This may be attributed to difficulties in diagnosing early-stage ovarian cancer, as it is typically asymptomatic until metastases, and due to the ineffective management of patients with late-stage ovarian cancer. The aim of the present study was to investigate potential therapeutic targets for the treatment of ovarian cancer. Bioinformatics techniques were used to analyze the expression levels of tryptophan (Trp) metabolism-related genes in tissue samples from patients with ovarian cancer. Additionally, western blots, clonogenic assays, immunohistochemical staining, chromatin immunoprecipitation-quantitative PCR, cell co-culture assays, a xenograft model and high-performance liquid chromatography-tandem mass spectrometry were performed to evaluate the antitumor effects of genes identified from the bioinformatics analysis. Increased expression levels of the amino acid transporter, solute carrier family 7 member 5 (SLC7A5), in tissue samples from patients with ovarian cancer was demonstrated. Inhibition of SLC7A5 reduced ovarian cancer cell proliferation through G/M cell cycle arrest and blocked intracellular aryl hydrocarbon receptor nucleus entry, which downregulated PD-L1 expression levels. Dysregulation of Trp metabolism in ovarian cancer tissue samples, as well as the upregulation of kynurenine expression levels in the plasma of patients with ovarian cancer, were demonstrated to be unfavorable prognostic factors for the progression-free survival of patients with ovarian cancer. The present study demonstrated that the dysregulation of Trp metabolism could potentially be used as a diagnostic biomarker for ovarian cancer, as well as the potential of targeting SLC7A5 for immunotherapeutic management of patients with ovarian cancer in the future.
卵巢癌是全球第三常见的妇科恶性肿瘤,也是女性癌症相关死亡的第五大主要原因。这可能归因于早期卵巢癌诊断困难,因为它通常在发生转移之前没有症状,也归因于晚期卵巢癌患者的治疗效果不佳。本研究的目的是调查卵巢癌治疗的潜在治疗靶点。采用生物信息学技术分析卵巢癌患者组织样本中色氨酸(Trp)代谢相关基因的表达水平。此外,进行了蛋白质免疫印迹、克隆形成试验、免疫组织化学染色、染色质免疫沉淀-定量PCR、细胞共培养试验、异种移植模型和高效液相色谱-串联质谱分析,以评估从生物信息学分析中鉴定出的基因的抗肿瘤作用。结果表明,卵巢癌患者组织样本中氨基酸转运体溶质载体家族7成员5(SLC7A5)的表达水平升高。抑制SLC7A5可通过G/M期细胞周期阻滞降低卵巢癌细胞增殖,并阻止细胞内芳烃受体进入细胞核,从而下调PD-L1表达水平。卵巢癌组织样本中Trp代谢失调以及卵巢癌患者血浆中犬尿氨酸表达水平上调被证明是卵巢癌患者无进展生存期的不良预后因素。本研究表明,Trp代谢失调可能作为卵巢癌的诊断生物标志物,以及未来针对SLC7A5进行卵巢癌患者免疫治疗的潜力。