Proteomic Profiling of Advanced Melanoma Patients to Predict Therapeutic Response to Anti-PD-1 Therapy

被引:2
|
作者
Zila, Nina [1 ,2 ]
Eichhoff, Ossia M. [3 ]
Steiner, Irene [4 ]
Mohr, Thomas [5 ]
Bileck, Andrea [6 ,7 ,8 ]
Cheng, Phil F. [3 ]
Leitner, Alexander [9 ]
Gillet, Ludovic [9 ]
Sajic, Tatjana [9 ]
Goetze, Sandra [10 ,11 ,12 ]
Friedrich, Betty [9 ]
Bortel, Patricia [6 ]
Strobl, Johanna [1 ]
Reitermaier, Rene [1 ]
Hogan, Sabrina A. [3 ]
Martinez Gomez, Julia M. [3 ]
Staeger, Ramon [3 ]
Tuchmann, Felix [1 ]
Peters, Sophie [1 ]
Stary, Georg [1 ,13 ,14 ]
Kuttke, Mario [15 ]
Elbe-Buerger, Adelheid [1 ]
Hoeller, Christoph [1 ]
Kunstfeld, Rainer [1 ]
Weninger, Wolfgang [1 ]
Wollscheid, Bernd [10 ,11 ]
Dummer, Reinhard [3 ]
French, Lars E. [16 ,17 ]
Gerner, Christopher [6 ,7 ,8 ]
Aebersold, Ruedi [9 ]
Levesque, Mitchell P. [3 ]
Paulitschke, Verena [1 ]
机构
[1] Med Univ Vienna, Dept Dermatol, Waehringerguertel 18-20, A-1090 Vienna, Austria
[2] Univ Appl Sci FH Campus Wien, Div Biomed Sci, Vienna, Austria
[3] Univ Zurich, Univ Zurich Hosp, Dept Dermatol, Zurich, Switzerland
[4] Med Univ Vienna, Inst Med Stat, Ctr Med Data Sci, Vienna, Austria
[5] Med Univ Vienna, Inst Canc Res, Dept Med 1, Vienna, Austria
[6] Univ Vienna, Dept Analyt Chem, Vienna, Austria
[7] Univ Vienna, Joint Metabolome Facil, Vienna, Austria
[8] Med Univ Vienna, Vienna, Austria
[9] Swiss Fed Inst Technol, Inst Mol Syst Biol, Dept Biol, Zurich, Switzerland
[10] Swiss Fed Inst Technol, Inst Translat Med, Dept Hlth Sci & Technol, Zurich, Switzerland
[11] Swiss Inst Bioinformat, Lausanne, Switzerland
[12] ETH PHRT Swiss Multiom Ctr SMOC, Zurich, Switzerland
[13] Ludwig Boltzmann Inst Rare & Undiagnosed Dis, Vienna, Austria
[14] Austrian Acad Sci, CeMM Res Ctr Mol Med, Vienna, Austria
[15] Med Univ Vienna, Inst Vasc Biol & Thrombosis Res, Ctr Physiol & Pharmacol, Vienna, Austria
[16] Ludwig Maximilian Univ Munich, Dept Dermatol & Allergy Univ Hosp, Munich, Germany
[17] Univ Miami, Miller Sch Med, Dr Phillip Frost Dept Dermatol & Cutaneous Surg, Miami, FL USA
基金
瑞士国家科学基金会; 奥地利科学基金会;
关键词
STATISTICAL-ANALYSIS; METASTATIC MELANOMA; MASS-SPECTROMETRY; R PACKAGE; TUMOR; SIGNATURE; FEATURES; PLATFORM;
D O I
10.1158/1078-0432.CCR-23-0562
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: Despite high clinical need, there are no biomarkers that accurately predict the response of patients with metastatic melanoma to anti-PD-1 therapy. Experimental Design: 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. Results: 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. Conclusions: 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.
引用
收藏
页码:159 / 175
页数:17
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