Ray Tania, Ryusaki Terry, Ray Partha S
R&D Division, Onconostic Technologies (OT), Inc., Champaign, IL, United States.
3N Diagnostics Ltd., Belfast, United Kingdom.
Front Oncol. 2021 Sep 3;11:721959. doi: 10.3389/fonc.2021.721959. eCollection 2021.
Metastasis accounts for more than 90% of cancer related mortality, thus the most pressing need in the field of oncology today is the ability to accurately predict future onset of metastatic disease, ideally at the time of initial diagnosis. As opposed to current practice, what would be desirable is that prognostic, biomarker-based detection of metastatic propensity and heightened risk of cancer recurrence be performed long before overt metastasis has set in. Without such timely information it will be impossible to formulate a rational therapeutic treatment plan to favorably alter the trajectory of disease progression. In order to help inform rational selection of targeted therapeutics, any recurrence/metastasis risk prediction strategy must occur with the paired identification of novel prognostic biomarkers and their underlying molecular regulatory mechanisms that help drive cancer recurrence/metastasis (i.e. recurrence biomarkers). Traditional clinical factors alone (such as TNM staging criteria) are no longer adequately prognostic for this purpose in the current molecular era. FOXC1 is a pivotal transcription factor that has been functionally implicated to drive cancer metastasis and has been demonstrated to be an independent predictor of heightened metastatic risk, at the time of initial diagnosis. In this review, we present our viewpoints on the master regulatory role that FOXC1 plays in mediating cancer stem cell traits that include cellular plasticity, partial EMT, treatment resistance, cancer invasion and cancer migration during cancer progression and metastasis. We also highlight potential therapeutic strategies to target cancers that are, or have evolved to become, "transcriptionally addicted" to FOXC1. The potential role of FOXC1 expression status in predicting the efficacy of these identified therapeutic approaches merits evaluation in clinical trials.
转移导致了超过90%的癌症相关死亡,因此当今肿瘤学领域最迫切的需求是能够准确预测转移性疾病的未来发病情况,理想情况是在初次诊断时就能做到。与当前的做法相反,理想的情况是在明显转移发生之前很久,就基于生物标志物进行转移性倾向和癌症复发高风险的预后检测。没有这样及时的信息,就不可能制定出合理的治疗方案来有利地改变疾病进展的轨迹。为了有助于合理选择靶向治疗药物,任何复发/转移风险预测策略都必须与新型预后生物标志物及其潜在的分子调控机制(即复发生物标志物)的配对识别同时进行,这些机制有助于推动癌症复发/转移。在当前的分子时代,仅靠传统的临床因素(如TNM分期标准)已不足以实现这一预后目的。FOXC1是一种关键的转录因子,在功能上与癌症转移有关,并且已被证明在初次诊断时是转移风险升高的独立预测因子。在这篇综述中,我们阐述了我们对于FOXC1在介导癌症干细胞特性中所起的主导调控作用的观点,这些特性包括癌症进展和转移过程中的细胞可塑性、部分上皮-间质转化、治疗抗性、癌症侵袭和癌症迁移。我们还强调了针对对FOXC1“转录成瘾”的癌症或已演变成对FOXC1“转录成瘾”的癌症的潜在治疗策略。FOXC1表达状态在预测这些已确定的治疗方法疗效方面的潜在作用值得在临床试验中进行评估。