Evidence map›Paper›PMID 31049165›Full record

ArticleComputational and structural biotechnology journal2019

Interrelations of Sphingolipid and Lysophosphatidate Signaling with Immune System in Ovarian Cancer.

Anastasia Meshcheryakova, Martin Svoboda, Markus Jaritz, Felicitas Mungenast, Martina Salzmann, Dietmar Pils, Dan Cacsire Castillo-Tong, Gudrun Hager, Andrea Wolf, Elena Ioana Braicu and 10 more

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 27 citations in OpenAlex.

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  8. Infiltration of LPAR5Frontiers in immunology · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 7 institutions in 4 countries.

Anastasia MeshcheryakovaMolecular Systems Biology and Pathophysiology Research Group, Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
Martin SvobodaMolecular Systems Biology and Pathophysiology Research Group, Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
Markus JaritzResearch Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria.
Felicitas MungenastMolecular Systems Biology and Pathophysiology Research Group, Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
Martina SalzmannMolecular Systems Biology and Pathophysiology Research Group, Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
Dietmar PilsSectionfor Clinical Biometrics, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Dan Cacsire Castillo-TongTranslational Gynecology Group, Department of Obstetrics and Gynecology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Gudrun HagerMolecular Oncology Group, Department of Obstetrics and Gynecology and Comprehensive Cancer Center, Gynecologic Cancer Unit, Medical University of Vienna, Vienna, Austria.
Andrea WolfTranslational Gynecology Group, Department of Obstetrics and Gynecology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Elena Ioana BraicuCharité - Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Department of Gynecology, Berlin, Germany.
Jalid SehouliCharité - Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Department of Gynecology, Berlin, Germany.
Sandrina LambrechtsDivision of Gynecologic Oncology, University Hospital Leuven, Leuven Cancer Institute, KU Leuven, Leuven, Belgium.
Ignace VergoteDivision of Gynecologic Oncology, University Hospital Leuven, Leuven Cancer Institute, KU Leuven, Leuven, Belgium.
Sven MahnerDepartment of Gynecology and Gynecologic Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Peter BirnerDepartment of Pathology, Medical University of Vienna, Vienna, Austria.
Philip ZimmermannNebion AG, Zürich, Switzerland.
David N BrindleyCancer Research Institute of Northern Alberta, Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada.
Georg HeinzeSectionfor Clinical Biometrics, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Robert ZeillingerMolecular Oncology Group, Department of Obstetrics and Gynecology and Comprehensive Cancer Center, Gynecologic Cancer Unit, Medical University of Vienna, Vienna, Austria.
Diana MechtcheriakovaMolecular Systems Biology and Pathophysiology Research Group, Department of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATComprehensive Cancer Center Vienna · ATHumboldt-Universität zu Berlin · DEKU Leuven · BEResearch Institute of Molecular Pathology · ATUniversität Hamburg · DEUniversity of Alberta · CA

Funding

Austrian Science Fund FWF P 22441Austrian Science Fund FWF P 28137
6 · The paper itself

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

Indexed as

From systems biology to systems medicineIntegrative analysis algorithmOn-site immune responsePatient-specific expression data setsPatient stratificationSphingolipid/lysophosphatidate system

Identifiers

PMID31049165
PMCPMC6479272
OpenAlexW2937868734

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.