Zila Nina, Eichhoff Ossia M, Steiner Irene, Mohr Thomas, Bileck Andrea, Cheng Phil F, Leitner Alexander, Gillet Ludovic, Sajic Tatjana, Goetze Sandra, Friedrich Betty, Bortel Patricia, Strobl Johanna, Reitermaier René, Hogan Sabrina A, Martínez Gómez Julia M, Staeger Ramon, Tuchmann Felix, Peters Sophie, Stary Georg, Kuttke Mario, Elbe-Bürger Adelheid, Hoeller Christoph, Kunstfeld Rainer, Weninger Wolfgang, Wollscheid Bernd, Dummer Reinhard, French Lars E, Gerner Christopher, Aebersold Ruedi, Levesque Mitchell P, Paulitschke Verena
Department of Dermatology, Medical University of Vienna, Vienna, Austria.
Division of Biomedical Science, University of Applied Sciences FH Campus Wien, Vienna, Austria.
Clin Cancer Res. 2024 Jan 5;30(1):159-175. doi: 10.1158/1078-0432.CCR-23-0562.
Despite high clinical need, there are no biomarkers that accurately predict the response of patients with metastatic melanoma to anti-PD-1 therapy.
In this multicenter study, we applied protein depletion and enrichment methods prior to various proteomic techniques to analyze a serum discovery cohort (n = 56) and three independent serum validation cohorts (n = 80, n = 12, n = 17). Further validation analyses by literature and survival analysis followed.
We identified several significantly regulated proteins as well as biological processes such as neutrophil degranulation, cell-substrate adhesion, and extracellular matrix organization. Analysis of the three independent serum validation cohorts confirmed the significant differences between responders (R) and nonresponders (NR) observed in the initial discovery cohort. In addition, literature-based validation highlighted 30 markers overlapping with previously published signatures. Survival analysis using the TCGA database showed that overexpression of 17 of the markers we identified correlated with lower overall survival in patients with melanoma.
Ultimately, this multilayered serum analysis led to a potential marker signature with 10 key markers significantly altered in at least two independent serum cohorts: CRP, LYVE1, SAA2, C1RL, CFHR3, LBP, LDHB, S100A8, S100A9, and SAA1, which will serve as the basis for further investigation. In addition to patient serum, we analyzed primary melanoma tumor cells from NR and found a potential marker signature with four key markers: LAMC1, PXDN, SERPINE1, and VCAN.
尽管临床需求很高,但尚无生物标志物能够准确预测转移性黑色素瘤患者对抗程序性死亡蛋白1(anti-PD-1)疗法的反应。
在这项多中心研究中,我们在各种蛋白质组学技术之前应用了蛋白质耗竭和富集方法,以分析一个血清发现队列(n = 56)和三个独立的血清验证队列(n = 80、n = 12、n = 17)。随后通过文献和生存分析进行了进一步的验证分析。
我们鉴定出了几种显著调控的蛋白质以及生物过程,如中性粒细胞脱颗粒、细胞-基质粘附和细胞外基质组织。对三个独立血清验证队列的分析证实了在初始发现队列中观察到的反应者(R)和无反应者(NR)之间的显著差异。此外,基于文献的验证突出了30个与先前发表的特征重叠的标志物。使用癌症基因组图谱(TCGA)数据库进行的生存分析表明,我们鉴定出的17种标志物的过表达与黑色素瘤患者较低的总生存期相关。
最终,这种多层次的血清分析产生了一个潜在的标志物特征,其中10个关键标志物在至少两个独立血清队列中发生了显著变化:C反应蛋白(CRP)、淋巴管内皮透明质酸受体1(LYVE1)、血清淀粉样蛋白A2(SAA2)、补体1r亚基(C1RL)、补体因子H相关蛋白3(CFHR3)、脂多糖结合蛋白(LBP)、乳酸脱氢酶B(LDHB)、S100钙结合蛋白A8(S100A8)、S100钙结合蛋白A9(S100A9)和血清淀粉样蛋白A1(SAA1),这将作为进一步研究的基础。除了患者血清外,我们还分析了无反应者的原发性黑色素瘤肿瘤细胞,并发现了一个具有四个关键标志物的潜在标志物特征:层粘连蛋白γ1(LAMC1)、血小板反应蛋白1(PXDN)、丝氨酸蛋白酶抑制剂E1(SERPINE1)和多功能蛋白聚糖(VCAN)。