Neuro_Cancer

Welcome to Neuro_Cancer


    The mutual interactions between the nervous system and cancer have become increasingly evident. Diverse neural pathways contribute to the pathogenesis of malignancies and have been emerged as an important component of the tumor microenvironment. Neuro_Cancer was constructed for comprehensive evaluating the neural signal across cancer types. In total, Neural_Cancer evaluated 11 neural signal pathway activities across 9229 samples from 27 cancer types. Interactions among 251 immunology signatures from three immune features and neural signal pathway were investigated. In addition, the spatial patterns of neural signal pathways were explored in 630,158 spots of 239 slices from 22 cancer types. Correlation between the neural signal pathway activities and 198 drugs were also included in Neural_Cancer. Neuro_Cancer enable interactively data exploration of neural signal activity in various cancers, neural-immune interaction patterns, spatial characteristics of neural signals in cancer, and the association between neural signals and drug sensitivity. Neural_Cancer serves as a comprehensive data resource for investigating the interactions between neural signals and cancer.

Tools

Neural Signal Activity

This tool contains data exploration of neural signal activity in various cancers, including neural signal activity and molecular subtypes, and identification of differentially expressed genes and functions involved in diverse subtypes.

Neuro-Immune Interaction

This tool includes identification of neural-immune interaction patterns and construction of regulatory network between neural signals and immune signatures.

Clinical Relevance

This tool analyzes the correlation between neural signals and clinical features, including patient information, clinical stage and genetic variation features.

Spatial Patterns

This tool identifies spatial characteristics of neural signals in cancers and the relevance of neural signals and spatial neighborhood.

Drug Association

This tool explores the association between neural signals and drug sensitivity (IC50 value), and the effectiveness of neural signal activity-based model classifiers in distinguishing the sensitivity and resistance of the drug.

Clinical Survival

This tool examines the relevance of neural signals and survival prognosis of patients, including OS (Overall Survival), PFS (Progression Free Survival), DFS (Disease Free Survival) and DSS (Disease Specific Survival).

Data Overview

Cancer
Types
Cancer
Patients
Neuro
Pathways
Immune
Checkpoints
Immune
Cells
Immune
Pathways
Cancer
Slices
Spatial
Spots
Clinical
Drugs

Links of Other Related Databases