Your browser doesn't support javascript.
loading
Proteomic Profiling of Advanced Melanoma Patients to Predict Therapeutic Response to Anti-PD-1 Therapy.
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.
Afiliação
  • Zila N; Department of Dermatology, Medical University of Vienna, Vienna, Austria.
  • Eichhoff OM; Division of Biomedical Science, University of Applied Sciences FH Campus Wien, Vienna, Austria.
  • Steiner I; Department of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Mohr T; Center for Medical Data Science, Institute of Medical Statistics, Medical University of Vienna, Vienna, Austria.
  • Bileck A; Department of Medicine I, Institute of Cancer Research, Medical University of Vienna, Vienna, Austria.
  • Cheng PF; Department of Analytical Chemistry, University of Vienna, Vienna, Austria.
  • Leitner A; Joint Metabolome Facility, University of Vienna and Medical University of Vienna, Vienna, Austria.
  • Gillet L; Department of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Sajic T; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Goetze S; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Friedrich B; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Bortel P; Department of Health Sciences and Technology, Institute of Translational Medicine, ETH Zurich, Zurich, Switzerland.
  • Strobl J; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Reitermaier R; ETH PHRT Swiss Multi-Omics Center (SMOC), Zurich, Switzerland.
  • Hogan SA; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Martínez Gómez JM; Department of Analytical Chemistry, University of Vienna, Vienna, Austria.
  • Staeger R; Department of Dermatology, Medical University of Vienna, Vienna, Austria.
  • Tuchmann F; Department of Dermatology, Medical University of Vienna, Vienna, Austria.
  • Peters S; Department of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Stary G; Department of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Kuttke M; Department of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Elbe-Bürger A; Department of Dermatology, Medical University of Vienna, Vienna, Austria.
  • Hoeller C; Department of Dermatology, Medical University of Vienna, Vienna, Austria.
  • Kunstfeld R; Department of Dermatology, Medical University of Vienna, Vienna, Austria.
  • Weninger W; Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases, Vienna, Austria.
  • Wollscheid B; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
  • Dummer R; Center for Physiology and Pharmacology, Institute of Vascular Biology and Thrombosis Research, Medical University of Vienna, Vienna, Austria.
  • French LE; Department of Dermatology, Medical University of Vienna, Vienna, Austria.
  • Gerner C; Department of Dermatology, Medical University of Vienna, Vienna, Austria.
  • Aebersold R; Department of Dermatology, Medical University of Vienna, Vienna, Austria.
  • Levesque MP; Department of Dermatology, Medical University of Vienna, Vienna, Austria.
  • Paulitschke V; Department of Health Sciences and Technology, Institute of Translational Medicine, ETH Zurich, Zurich, Switzerland.
Clin Cancer Res ; 30(1): 159-175, 2024 01 05.
Article em En | MEDLINE | ID: mdl-37861398
ABSTRACT

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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Melanoma Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Melanoma Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article