疾病
临床实习
癌症
计算生物学
医学
生物信息学
生物
病理
内科学
家庭医学
作者
Daniela Figueiredo,Rodrigo G. B. Cruz,Ana Gabriela Costa Normando,Daniela Campos Granato,Ariane F. Busso-Lopes,Carolina Moretto Carnielli,Tatiane De Rossi,Adriana Franco Paes Leme
出处
期刊:Methods in molecular biology
日期:2024-01-01
卷期号:: 401-423
标识
DOI:10.1007/978-1-0716-3646-6_22
摘要
Peptides have potential bioactive functions, and the peptidomics landscape has been broadly investigated for various diseases, including cancer. In this chapter, we reviewed the past four years of literature available and selected 16 peer-reviewed publications exploring peptidomics in diagnosis, prognosis, and treatment in cancer research. We highlighted their main aims, mass spectrometry-based peptidomics, multi-omics, data-driven and in silico strategies, functional assays, and clinical applications. Moreover, we underscored several levels of difficulties in translating the peptidomics findings to clinical practice, aiming to learn with the accumulated knowledge and guide upcoming studies. Finally, this review reinforces the peptidomics robustness in discovering potential candidates for monitoring the several stages of cancer disease and therapeutic treatment, leveraging the management of cancer patients in the future.
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