Medical Oncology Unit, Parma University Hospital, Via Gramsci 14, 43125 Parma, Italy.
Curr Oncol. 2023 Jul 6;30(7):6462-6472. doi: 10.3390/curroncol30070475.
Pancreatic ductal adenocarcinoma remains associated with a poor prognosis, even when diagnosed at an early stage. Consequently, it is imperative to carefully consider the available therapeutic options and tailor them based on clinically relevant biomarkers. In our comprehensive review, we specifically concentrated on the identification of novel predictive and prognostic markers that have the potential to be integrated into multiparametric scoring systems. These scoring systems aim to accurately predict the efficacy of neoadjuvant chemotherapy in surgically resectable pancreatic cancer cases. By identifying robust predictive markers, we can enhance our ability to select patients who are most likely to benefit from neoadjuvant chemotherapy. Furthermore, the identification of prognostic markers can provide valuable insights into the overall disease trajectory and inform treatment decisions. The development of multiparametric scoring systems that incorporate these markers holds great promise for optimizing the selection of patients for neoadjuvant chemotherapy, leading to improved outcomes in resectable pancreatic neoplasia. Continued research efforts are needed to validate and refine these markers and scoring systems, ultimately advancing the field of personalized medicine in pancreatic adenocarcinoma management.
胰腺导管腺癌(Pancreatic ductal adenocarcinoma)即使在早期诊断时,预后仍然较差。因此,必须仔细考虑现有的治疗选择,并根据临床相关的生物标志物对其进行定制。在我们的综合综述中,我们特别关注鉴定新的预测和预后标志物,这些标志物有可能被整合到多参数评分系统中。这些评分系统旨在准确预测新辅助化疗在可手术切除的胰腺癌病例中的疗效。通过识别强大的预测标志物,我们可以提高选择最有可能从新辅助化疗中获益的患者的能力。此外,预后标志物的鉴定可以为整体疾病轨迹提供有价值的见解,并为治疗决策提供信息。将这些标志物纳入多参数评分系统的开发为优化新辅助化疗患者的选择提供了巨大的希望,从而改善了可切除胰腺肿瘤的治疗结果。需要进一步的研究来验证和完善这些标志物和评分系统,最终推动胰腺腺癌管理中个体化医学领域的发展。