Proteomic Analysis Identifies NDUFS1 and ATP5O as Novel Markers for Survival Outcome in Prostate Cancer.

ATP5O FFPE-proteomics NDUFS1 OXPHOS STAT3 prostate cancer transcriptomics

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
30 Nov 2021
Historique:
received: 12 10 2021
revised: 23 11 2021
accepted: 24 11 2021
entrez: 10 12 2021
pubmed: 11 12 2021
medline: 11 12 2021
Statut: epublish

Résumé

We aimed to identify novel markers for aggressive prostate cancer in a STAT3-low proteomics-derived dataset of mitochondrial proteins by immunohistochemical analysis and correlation with transcriptomic data and biochemical recurrence in a STAT3 independent PCa cohort. Formalin-fixed paraffin-embedded tissue (FFPE) sample selection for proteomic analysis and tissue-microarray (TMA) generation was conducted from a cohort of PCa patients. Retrospective data analysis was performed with the same cohort. 153 proteins differentially expressed between STAT3-low and STAT3-high samples were identified. Out of these, 46 proteins were associated with mitochondrial processes including oxidative phosphorylation (OXPHOS), and 45 proteins were upregulated, including NDUFS1/ATP5O. In a STAT3 independent PCa cohort, high expression of NDUFS1/ATP5O was confirmed by immunocytochemistry (IHC) and was significantly associated with earlier biochemical recurrence (BCR). mRNA expression levels for these two genes were significantly higher in intra-epithelial neoplasia and in PCa compared to benign prostate glands. NDUFS1/ATP5O levels are increased both at the mRNA and protein level in aggressive PCa. Our results provide evidence that NDUFS1/ATP5O could be used to identify high-risk PCa patients.

Identifiants

pubmed: 34885151
pii: cancers13236036
doi: 10.3390/cancers13236036
pmc: PMC8656993
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : COMET Competence Center CBmed - Center for Biomarker 326 Research in Medicine
ID : FA791A0906.FFG
Organisme : FWF Austrian Science Fund
ID : P26011

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Auteurs

Robert Wiebringhaus (R)

Department of Pathology, Medical University of Vienna, 1090 Vienna, Austria.
Department of Otolaryngology, University Hospital, LMU Munich, 81377 Munich, Germany.

Matteo Pecoraro (M)

Institute for Research in Biomedicine, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland.

Heidi A Neubauer (HA)

Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210 Vienna, Austria.

Karolína Trachtová (K)

Central European Institute of Technology, Masaryk University, 60177 Brno, Czech Republic.
Christian Doppler Laboratory for Applied Metabolomics (CDL-AM), Medical University of Vienna, 1090 Vienna, Austria.
Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.

Bettina Trimmel (B)

Department of Pathology, Medical University of Vienna, 1090 Vienna, Austria.

Maritta Wieselberg (M)

Department of Pathology, Medical University of Vienna, 1090 Vienna, Austria.

Jan Pencik (J)

Department of Pathology, Medical University of Vienna, 1090 Vienna, Austria.

Gerda Egger (G)

Department of Pathology, Medical University of Vienna, 1090 Vienna, Austria.
Ludwig Boltzmann Institute Applied Diagnostics, 1090 Vienna, Austria.

Christoph Krall (C)

Institute for Statistics, Medical University of Vienna, 1090 Vienna, Austria.

Richard Moriggl (R)

Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, 1210 Vienna, Austria.

Matthias Mann (M)

Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany.

Brigitte Hantusch (B)

Department of Pathology, Medical University of Vienna, 1090 Vienna, Austria.

Lukas Kenner (L)

Department of Pathology, Medical University of Vienna, 1090 Vienna, Austria.
Christian Doppler Laboratory for Applied Metabolomics (CDL-AM), Medical University of Vienna, 1090 Vienna, Austria.
Center for Biomarker Research in Medicine (CBmed), 8010 Graz, Austria.
Unit for Laboratory Animal Pathology, University of Veterinary Medicine Vienna, 1210 Vienna, Austria.

Classifications MeSH