Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto 4200-072, Portugal; Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto 4050-313, Portugal; Porto Comprehensive Cancer Center (P.ccc), Porto 4200-072, Portugal.
Experimental Pathology and Therapeutics Group, Portuguese Institute of Oncology, Porto 4200-072, Portugal; Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto 4050-313, Portugal; REQUIMTE-LAQV, Department of Chemistry and Biochemistry, Faculty of Sciences of the University of Porto, Porto 4169-007, Portugal.
Genomics Proteomics Bioinformatics. 2021 Feb;19(1):25-43. doi: 10.1016/j.gpb.2021.03.005. Epub 2021 Jun 9.
Molecular-assisted precision oncology gained tremendous ground with high-throughput next-generation sequencing (NGS), supported by robust bioinformatics. The quest for genomics-based cancer medicine set the foundations for improved patient stratification, while unveiling a wide array of neoantigens for immunotherapy. Upfront pre-clinical and clinical studies have successfully used tumor-specific peptides in vaccines with minimal off-target effects. However, the low mutational burden presented by many lesions challenges the generalization of these solutions, requiring the diversification of neoantigen sources. Oncoproteogenomics utilizing customized databases for protein annotation by mass spectrometry (MS) is a powerful tool toward this end. Expanding the concept toward exploring proteoforms originated from post-translational modifications (PTMs) will be decisive to improve molecular subtyping and provide potentially targetable functional nodes with increased cancer specificity. Walking through the path of systems biology, we highlight that alterations in protein glycosylation at the cell surface not only have functional impact on cancer progression and dissemination but also originate unique molecular fingerprints for targeted therapeutics. Moreover, we discuss the outstanding challenges required to accommodate glycoproteomics in oncoproteogenomics platforms. We envisage that such rationale may flag a rather neglected research field, generating novel paradigms for precision oncology and immunotherapy.
分子辅助精准肿瘤学在高通量下一代测序(NGS)的支持下,借助强大的生物信息学取得了巨大进展。基于基因组学的癌症药物研究为改善患者分层奠定了基础,同时也揭示了大量用于免疫治疗的新抗原。前期的临床前和临床研究已经成功地在疫苗中使用了肿瘤特异性肽,而几乎没有脱靶效应。然而,许多病变的低突变负担挑战了这些解决方案的通用性,需要多样化新抗原的来源。利用定制数据库进行基于质谱(MS)的蛋白质注释的肿瘤蛋白基因组学是实现这一目标的有力工具。将这一概念扩展到探索源于翻译后修饰(PTM)的蛋白异构体将是至关重要的,这将有助于改善分子亚型,并为提高癌症特异性提供潜在的可靶向功能节点。通过系统生物学的研究,我们强调细胞表面蛋白糖基化的改变不仅对癌症的进展和扩散具有功能影响,而且还为靶向治疗产生独特的分子指纹。此外,我们还讨论了在肿瘤蛋白基因组学平台中纳入糖蛋白组学所需的突出挑战。我们设想,这种方法可能会发现一个相当被忽视的研究领域,为精准肿瘤学和免疫治疗带来新的范例。