Chao Tai-Kuang, Huang Tien-Shuo, Liao Yu-Ping, Huang Rui-Lan, Su Po-Hsuan, Shen Hueng-Yuan, Lai Hung-Cheng, Wang Yu-Chi
Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan.
Department of Pathology, Tri-Service General Hospital, National Defense Medical Centre, Taipei, Taiwan.
PLoS One. 2017 Jul 28;12(7):e0182166. doi: 10.1371/journal.pone.0182166. eCollection 2017.
Pyruvate kinase M2 (PKM2) regulates glycolysis and oxidative phosphorylation; however, the role of PKM2 in ovarian cancer remains largely unknown. We investigated whether ovarian cancer metabolism could provide insight into the development of therapeutic strategies. We performed immunohistochemical staining for PKM2 on a tissue microarray for multivariate analysis. It revealed that patients exhibiting higher PKM2 expression were significantly associated with malignancy groups (p < 0.001) and pathogenesis models (p < 0.001), had poor progression-free survival rates (p = 0.01) as compared with patients exhibiting lower PKM2 levels, and yielded a hazard ratio of death of 2.02 (95% confidence interval: 0.70-5.85). In cell lines, PKM2 inhibitor significantly inhibited the glycolytic rate according to cellular glucose consumption (p < 0.001). We also utilized Seahorse assays to assess metabolism-related cell-specific factors and the impact of PKM2 inhibitors. Energy shifts as per Seahorse analysis showed attenuation of the extracellular acidification rate (p < 0.05) and no significant difference in oxygen-consumption rate in SKOV3 cells. Treatment with PKM2 inhibitor suppressed ovarian cancer growth and cell migration in vitro and inhibited tumor growth without significant toxicity in a xenograft study. PKM2 inhibition disturbed Warburg effects and inhibited ovarian cancer cell growth. Targeting PKM2 may constitute a promising therapy for patients with ovarian cancer, and clinical trials involving shikonin are warranted.
丙酮酸激酶M2(PKM2)调节糖酵解和氧化磷酸化;然而,PKM2在卵巢癌中的作用仍 largely未知。我们研究了卵巢癌代谢是否能为治疗策略的制定提供见解。我们在组织芯片上对PKM2进行免疫组化染色以进行多变量分析。结果显示,与PKM2表达较低的患者相比,PKM2表达较高的患者与恶性肿瘤组(p < 0.001)和发病机制模型(p < 0.001)显著相关,无进展生存率较差(p = 0.01),死亡风险比为2.02(95%置信区间:0.70 - 5.85)。在细胞系中,PKM2抑制剂根据细胞葡萄糖消耗显著抑制糖酵解速率(p < 0.001)。我们还利用海马实验评估与代谢相关的细胞特异性因子以及PKM2抑制剂的影响。海马分析显示的能量变化表明SKOV3细胞的细胞外酸化率降低(p < 0.05),氧消耗率无显著差异。在异种移植研究中,PKM2抑制剂治疗在体外抑制卵巢癌生长和细胞迁移,且抑制肿瘤生长而无明显毒性。PKM2抑制扰乱了瓦伯格效应并抑制卵巢癌细胞生长。靶向PKM2可能为卵巢癌患者构成一种有前景的治疗方法,涉及紫草素的临床试验是有必要的。