Interrelations of Sphingolipid and Lysophosphatidate Signaling with Immune System in Ovarian Cancer.
From systems biology to systems medicine
Integrative analysis algorithm
On-site immune response
Patient stratification
Patient-specific expression data sets
Sphingolipid/lysophosphatidate system
Journal
Computational and structural biotechnology journal
ISSN: 2001-0370
Titre abrégé: Comput Struct Biotechnol J
Pays: Netherlands
ID NLM: 101585369
Informations de publication
Date de publication:
2019
2019
Historique:
received:
20
11
2018
revised:
03
04
2019
accepted:
05
04
2019
entrez:
4
5
2019
pubmed:
3
5
2019
medline:
3
5
2019
Statut:
epublish
Résumé
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
Identifiants
pubmed: 31049165
doi: 10.1016/j.csbj.2019.04.004
pii: S2001-0370(18)30265-4
pmc: PMC6479272
doi:
Types de publication
Journal Article
Langues
eng
Pagination
537-560Subventions
Organisme : Austrian Science Fund FWF
ID : P 28137
Pays : Austria
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