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The prognostic landscape of interactive biological processes presents treatment responses in cancer.

EBioMedicine | 2019

Differential gene expression patterns are commonly used as biomarkers to predict treatment responses among heterogeneous tumors. However, the link between response biomarkers and treatment-targeting biological processes remain poorly understood. Here, we develop a prognosis-guided approach to establish the determinants of treatment response.

Pubmed ID: 30799199 RIS Download

Associated grants

  • Agency: Cancer Research UK, United Kingdom
    Id: 12011
  • Agency: Breast Cancer Now, United Kingdom
    Id: 2012MAYPR070
  • Agency: Breast Cancer Now, United Kingdom
    Id: 2012NOVPHD016

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This is a list of tools and resources that we have found mentioned in this publication.


ATCC (tool)

RRID:SCR_001672

Global nonprofit biological resource center (BRC) and research organization that provides biological products, technical services and educational programs to private industry, government and academic organizations. Its mission is to acquire, authenticate, preserve, develop and distribute biological materials, information, technology, intellectual property and standards for the advancement and application of scientific knowledge. The primary purpose of ATCC is to use its resources and experience as a BRC to become the world leader in standard biological reference materials management, intellectual property resource management and translational research as applied to biomaterial development, standardization and certification. ATCC characterizes cell lines, bacteria, viruses, fungi and protozoa, as well as develops and evaluates assays and techniques for validating research resources and preserving and distributing biological materials to the public and private sector research communities.

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Gene Set Enrichment Analysis (tool)

RRID:SCR_003199

Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.

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GenePattern (tool)

RRID:SCR_003201

A powerful genomic analysis platform that provides access to hundreds of tools for gene expression analysis, proteomics, SNP analysis, flow cytometry, RNA-seq analysis, and common data processing tasks. A web-based interface provides easy access to these tools and allows the creation of multi-step analysis pipelines that enable reproducible in silico research.

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Oncomine Research Platform (tool)

RRID:SCR_007834

Oncomine Research Platform is a partially-commercial suite of products for online cancer gene expression analysis dedicated to the academic and non-profit research community. Oncomine combines a rapidly growing compendium of 20,000+ cancer transcriptome profiles with a sophisticated analysis engine and a powerful web application for data-mining and visualization. Oncomine facilitates rapid and reliable biomarker and therapeutic target discovery, validation and prioritization. Oncomine was developed by physicians, scientists, and software engineers at the University of Michigan and is now fully supported for the academic and non-profit research community by Compendia Bioscience.

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Sigma-Aldrich (tool)

RRID:SCR_008988

American chemical, life science and biotechnology company owned by Merck KGaA. Merger of Sigma Chemical Company and Aldrich Chemical Company. Provides organic and inorganic chemicals, building blocks, reagents, advanced materials and stable isotopes for chemical synthesis, medicinal chemistry and materials science, antibiotics, buffers, carbohydrates, enzymes, forensic tools, hematology and histology, nucleotides, proteins, peptides, amino acids and their derivatives.

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TreeView (tool)

RRID:SCR_013503

Software to graphically browse results of clustering and other analyses from Cluster.

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Cluster (tool)

RRID:SCR_013505

Software R package. Methods for Cluster analysis. Performs variety of types of cluster analysis and other types of processing on large microarray datasets.

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cBioPortal (tool)

RRID:SCR_014555

A portal that provides visualization, analysis and download of large-scale cancer genomics data sets.

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HEK293 (cell line)

RRID:CVCL_0045

Cell line HEK293 is a Transformed cell line with a species of origin Homo sapiens (Human)

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MDA-MB-231 (cell line)

RRID:CVCL_0062

Cell line MDA-MB-231 is a Cancer cell line with a species of origin Homo sapiens (Human)

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HEK293 (cell line)

RRID:CVCL_0045

Cell line HEK293 is a Transformed cell line with a species of origin Homo sapiens (Human)

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