Gulfidan Gizem, Beklen Hande, Sinha Indu, Kucukalp Fulya, Caloglu Buse, Esen Ipek, Turanli Beste, Ayyildiz Dilara, Arga Kazim Yalcin, Sinha Raghu
Department of Bioengineering, Marmara University, Istanbul, Turkey.
Department of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, Pennsylvania, USA.
OMICS. 2021 Aug;25(8):495-512. doi: 10.1089/omi.2021.0085. Epub 2021 Jul 23.
Esophageal squamous cell carcinoma (ESCC) is among the most dangerous cancers with high mortality and lack of robust diagnostics and personalized/precision therapeutics. To achieve a systems-level understanding of tumorigenesis, unraveling of variations in the protein interactome and determination of key proteins exhibiting significant alterations in their interaction patterns during tumorigenesis are crucial. To this end, we have described differential protein-protein interactions and differentially interacting proteins (DIPs) in ESCC by utilizing the human protein interactome and transcriptome. Furthermore, DIP-centered modules were analyzed according to their potential in elucidation of disease mechanisms and improvement of efficient diagnostic, prognostic, and treatment strategies. Seven modules were presented as potential diagnostic, and 16 modules were presented as potential prognostic biomarker candidates. Importantly, our findings also suggest that 30 out of the 53 repurposed drugs were noncancer drugs, which could be used in the treatment of ESCC. Interestingly, 25 of these, proposed as novel drug candidates here, have not been previously associated in a context of esophageal cancer. In this context, risperidone and clozapine were validated for their growth inhibitory potential in three ESCC lines. Our findings offer a high potential for the development of innovative diagnostic, prognostic, and therapeutic strategies for further experimental studies in line with predictive diagnostics, targeted prevention, and personalization of medical services in ESCC specifically, and personalized cancer care broadly.
食管鳞状细胞癌(ESCC)是最危险的癌症之一,死亡率高,且缺乏可靠的诊断方法和个性化/精准治疗方法。为了从系统层面理解肿瘤发生过程,揭示蛋白质相互作用组的变化以及确定在肿瘤发生过程中其相互作用模式出现显著改变的关键蛋白质至关重要。为此,我们利用人类蛋白质相互作用组和转录组描述了ESCC中的差异蛋白质-蛋白质相互作用和差异相互作用蛋白(DIP)。此外,根据其在阐明疾病机制以及改进高效诊断、预后和治疗策略方面的潜力,对以DIP为中心的模块进行了分析。提出了7个模块作为潜在诊断指标,16个模块作为潜在预后生物标志物候选指标。重要的是,我们的研究结果还表明,在53种重新利用的药物中,有30种是非癌症药物,可用于治疗ESCC。有趣的是,这里提出作为新型药物候选物的其中25种药物此前在食管癌背景下未曾有过关联。在此背景下,利培酮和氯氮平在三种ESCC细胞系中被验证具有生长抑制潜力。我们的研究结果为开发创新的诊断、预后和治疗策略提供了很大潜力,以便在ESCC中,特别是在更广泛的个性化癌症护理方面,根据预测性诊断、靶向预防和医疗服务个性化进行进一步的实验研究。