Article

Molecular signatures for inflammation vary across cancer types and correlate significantly with tumor stage, gender and vital status of patients

2019-08-12

Abstract excerpt

Cancer affects millions of individuals worldwide. One shortcoming of traditional cancer classification systems is that, even for tumors affecting a single organ, there is significant molecular heterogeneity. Precise molecular classification of tumors could be beneficial in personalizing patients’ therapy and predicting prognosis. To this end, here we propose to use molecular signatures to further refine cancer cla...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a5086a29-3491-57ee-a08b-a4cb613cafd6
DOI: 10.1101/732867

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Molecular signatures for inflammation vary across cancer types and correlate significantly with tumor stage, gender and vital status of patientsDOI 10.1101/732867Read

SaVanT: a web-based tool for the sample-level visualization of molecular signatures in gene expression profiles.Semantic proximity Read

Development and Performance of a CD8 Gene Signature for Characterizing Inflammation in the Tumor Microenvironment across Multiple Tumor TypesSemantic proximity Read

CRI iAtlas: an interactive portal for immuno-oncology researchSemantic proximity Read

Molecular Profiling of Multiple Human Cancers Defines an Inflammatory Cancer-Associated Molecular Pattern and Uncovers KPNA2 as a Uniform Poor Prognostic Cancer MarkerSemantic proximity Read

A novel visual analysis interface enables integrative analyses of cancer transcriptomics data and iden-tifies potential markers of immunotherapy response via machine learning.Semantic proximity Read

VIBE: An R-package for advanced RNA-seq data exploration, disease stratification and therapeutic targetingSemantic proximity Read

TIMEDB: tumor immune micro-environment cell composition database with automatic analysis and interactive visualizationSemantic proximity Read

Hourglass, a rapid analysis framework for heterogeneous bioimaging data, identifies sex disparity in IL-6/STAT3-associated immune phenotypes in pancreatic cancer.Semantic proximity Read

TCGAplot: an R package for integrative pan-cancer analysis and visualization of TCGA multi-omics data.Semantic proximity Read

OmicsView: omics data analysis through interactive visual analyticsSemantic proximity Read

BEST: a web application for comprehensive biomarker exploration on large-scale data in solid tumorsSemantic proximity Read

A collection of annotated and harmonized human breast cancer transcriptome datasets, including immunologic classificationSemantic proximity Read