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晚期可切除黑色素瘤患者新辅助治疗中的分子与临床病理生物标志物

Molecular and Clinicopathological Biomarkers in the Neoadjuvant Treatment of Patients with Advanced Resectable Melanoma.

作者信息

Błoński Piotr J, Czarnecka Anna M, Ostaszewski Krzysztof, Szumera-Ciećkiewicz Anna, Rutkowski Piotr

机构信息

Department of Soft Tissue/Bone Sarcoma and Melanoma, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland.

Faculty of Medicine, Medical University of Warsaw, 02-091 Warsaw, Poland.

出版信息

Biomedicines. 2024 Mar 17;12(3):669. doi: 10.3390/biomedicines12030669.

Abstract

Neoadjuvant systemic therapy is emerging as the best medical practice in patients with resectable stage III melanoma. As different regimens are expected to become available in this approach, the improved optimization of treatment strategies is required. Personalization of care in each individual patient-by precisely determining the disease-related risk and the most efficient therapeutic approach-is expected to minimize disease recurrence, but also the incidence of treatment-related adverse events and the extent of surgical intervention. This can be achieved through validation and clinical application of predictive and prognostic biomarkers. For immune checkpoint inhibitors, there are no validated predictive biomarkers until now. Promising predictive molecular biomarkers for neoadjuvant immunotherapy are tumor mutational burden and the interferon-gamma pathway expression signature. Pathological response to neoadjuvant treatment is a biomarker of a favorable prognosis and surrogate endpoint for recurrence-free survival in clinical trials. Despite the reliability of these biomarkers, risk stratification and response prediction in the neoadjuvant setting are still unsatisfactory and represent a critical knowledge gap, limiting the development of optimized personalized strategies in everyday practice.

摘要

新辅助全身治疗正成为可切除的III期黑色素瘤患者的最佳医疗实践。由于预计这种方法会有不同的治疗方案,因此需要进一步优化治疗策略。通过精确确定疾病相关风险和最有效的治疗方法,对每个患者进行个性化护理,有望将疾病复发率降至最低,同时降低治疗相关不良事件的发生率以及手术干预的程度。这可以通过预测性和预后性生物标志物的验证和临床应用来实现。对于免疫检查点抑制剂,迄今为止尚无经过验证的预测性生物标志物。新辅助免疫治疗有前景的预测性分子生物标志物是肿瘤突变负荷和干扰素-γ通路表达特征。新辅助治疗的病理反应是预后良好的生物标志物,也是临床试验中无复发生存的替代终点。尽管这些生物标志物具有可靠性,但新辅助治疗环境中的风险分层和反应预测仍然不尽人意,代表了一个关键的知识空白,限制了日常实践中优化个性化策略的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dc9/10967903/e171ea9e9098/biomedicines-12-00669-g001.jpg

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