医学
胰腺癌
癌症
选择(遗传算法)
肿瘤科
个性化医疗
内科学
癌症研究
生物信息学
计算机科学
生物
人工智能
作者
Elena Brozos-Vázquez,Marta Toledano‐Fonseca,Nicolás Costa‐Fraga,Maria Victoria García‐Ortiz,Ángel Díaz‐Lagares,Antonio Rodríguez‐Ariza,Enrique Aranda,Rafael López‐López
标识
DOI:10.1016/j.ctrv.2024.102719
摘要
Pancreatic cancer is one of the tumors with the worst prognosis, and unlike other cancers, few advances have been made in recent years. The only curative option is surgery, but only 15–20% of patients are candidates, with a high risk of relapse. In advanced pancreatic cancer there are few first-line treatment options and no validated biomarkers for better treatment selection. The development of targeted therapies in pancreatic cancer is increasingly feasible due to tumor-agnostic treatments, such as PARP inhibitors in patients with BRCA1, BRCA2 or PALB2 alterations or immunotherapies in patients with high microsatellite instability/tumor mutational burden. In addition, other therapeutic molecules have been developed for patients with KRAS G12C mutation or fusions in NTRK or NRG1. Consequently, there has been a growing interest in biomarkers that may help guide targeted therapy in pancreatic cancer. Therefore, this review aims to offer an updated perspective on biomarkers with therapeutic potential in pancreatic cancer.
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