医学
免疫疗法
肿瘤科
靶向治疗
黑色素瘤
内科学
生物标志物
炎症
免疫学
队列
临床试验
癌症
癌症研究
生物
生物化学
作者
Max Karlsson,Fernanda Costa Svedman,Abdellah Tebani,David Kotol,Veronica Höiom,Linn Fagerberg,Fredrik Edfors,Mathias Uhlén,Suzanne Egyházi Brage,Gianluca Maddalo
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2021-02-11
卷期号:81 (9): 2545-2555
被引量:28
标识
DOI:10.1158/0008-5472.can-20-2000
摘要
Abstract Malignant cutaneous melanoma is one of the most common cancers in young adults. During the last decade, targeted and immunotherapies have significantly increased the overall survival of patients with malignant cutaneous melanoma. Nevertheless, disease progression is common, and a lack of predictive biomarkers of patient response to therapy hinders individualized treatment strategies. To address this issue, we performed a longitudinal study using an unbiased proteomics approach to identify and quantify proteins in plasma both before and during treatment from 109 patients treated with either targeted or immunotherapy. Linear modeling and machine learning approaches identified 43 potential prognostic and predictive biomarkers. A reverse correlation between apolipoproteins and proteins related to inflammation was observed. In the immunotherapy group, patients with low pretreatment expression of apolipoproteins and high expression of inflammation markers had shorter progression-free survival. Similarly, increased expression of LDHB during treatment elicited a significant impact on response to immunotherapy. Overall, we identified potential common and treatment-specific biomarkers in malignant cutaneous melanoma, paving the way for clinical use of these biomarkers following validation on a larger cohort. Significance: This study identifies a potential biomarker panel that could improve the selection of therapy for patients with cutaneous melanoma.
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