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Interrelations of Sphingolipid and Lysophosphatidate Signaling with Immune System in Ovarian Cancer.
Meshcheryakova, Anastasia; Svoboda, Martin; Jaritz, Markus; Mungenast, Felicitas; Salzmann, Martina; Pils, Dietmar; Cacsire Castillo-Tong, Dan; Hager, Gudrun; Wolf, Andrea; Braicu, Elena Ioana; Sehouli, Jalid; Lambrechts, Sandrina; Vergote, Ignace; Mahner, Sven; Birner, Peter; Zimmermann, Philip; Brindley, David N; Heinze, Georg; Zeillinger, Robert; Mechtcheriakova, Diana.
Afiliación
  • Meshcheryakova A; Molecular Systems Biology and Pathophysiology Research Group, Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
  • Svoboda M; Molecular Systems Biology and Pathophysiology Research Group, Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
  • Jaritz M; Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria.
  • Mungenast F; Molecular Systems Biology and Pathophysiology Research Group, Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
  • Salzmann M; Molecular Systems Biology and Pathophysiology Research Group, Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
  • Pils D; Sectionfor Clinical Biometrics, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • Cacsire Castillo-Tong D; Translational Gynecology Group, Department of Obstetrics and Gynecology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
  • Hager G; Molecular Oncology Group, Department of Obstetrics and Gynecology and Comprehensive Cancer Center, Gynecologic Cancer Unit, Medical University of Vienna, Vienna, Austria.
  • Wolf A; Translational Gynecology Group, Department of Obstetrics and Gynecology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
  • Braicu EI; Charité - Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Department of Gynecology, Berlin, Germany.
  • Sehouli J; Charité - Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Department of Gynecology, Berlin, Germany.
  • Lambrechts S; Division of Gynecologic Oncology, University Hospital Leuven, Leuven Cancer Institute, KU Leuven, Leuven, Belgium.
  • Vergote I; Division of Gynecologic Oncology, University Hospital Leuven, Leuven Cancer Institute, KU Leuven, Leuven, Belgium.
  • Mahner S; Department of Gynecology and Gynecologic Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Birner P; Department of Pathology, Medical University of Vienna, Vienna, Austria.
  • Zimmermann P; Nebion AG, Zürich, Switzerland.
  • Brindley DN; Cancer Research Institute of Northern Alberta, Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada.
  • Heinze G; Sectionfor Clinical Biometrics, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
  • Zeillinger R; Molecular Oncology Group, Department of Obstetrics and Gynecology and Comprehensive Cancer Center, Gynecologic Cancer Unit, Medical University of Vienna, Vienna, Austria.
  • Mechtcheriakova D; Molecular Systems Biology and Pathophysiology Research Group, Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
Comput Struct Biotechnol J ; 17: 537-560, 2019.
Article en En | MEDLINE | ID: mdl-31049165
ABSTRACT
The sphingolipid and lysophosphatidate regulatory networks impact diverse mechanisms attributed to cancer cells and the tumor immune microenvironment. Deciphering the complexity demands implementation of a holistic approach combined with higher-resolution techniques. We implemented a multi-modular integrative approach consolidating the latest accomplishments in gene expression profiling, prognostic/predictive modeling, next generation digital pathology, and systems biology for epithelial ovarian cancer. We assessed patient-specific transcriptional profiles using the sphingolipid/lysophosphatidate/immune-associated signature. This revealed novel sphingolipid/lysophosphatidate-immune gene-gene associations and distinguished tumor subtypes with immune high/low context. These were characterized by robust differences in sphingolipid-/lysophosphatidate-related checkpoints and the drug response. The analysis also nominates novel survival models for stratification of patients with CD68, LPAR3, SMPD1, PPAP2B, and SMPD2 emerging as the most prognostically important genes. Alignment of proprietary data with curated transcriptomic data from public databases across a variety of malignancies (over 600 categories; over 21,000 arrays) showed specificity for ovarian carcinoma. Our systems approach identified novel sphingolipid-lysophosphatidate-immune checkpoints and networks underlying tumor immune heterogeneity and disease outcomes. This holds great promise for delivering novel stratifying and targeting strategies.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Comput Struct Biotechnol J Año: 2019 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Comput Struct Biotechnol J Año: 2019 Tipo del documento: Article