Article

Evaluating cell lines as models for metastatic cancer through integrative analysis of open genomic data

2018-06-02

Abstract excerpt

Metastasis is the most common cause of cancer-related death and, as such, there is an urgent need to discover new therapies to treat metastasized cancers. Cancer cell lines are widely-used models to study cancer biology and test drug candidates. However, it is still unknown to what extent they adequately resemble the disease in patients. The recent accumulation of large-scale genomic data in cell lines, mouse mode...

Topics

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

Identifiers and source

Literature Corpus work: 1a120372-98a6-5785-abe9-8a46813a0a44
DOI: 10.1101/337287

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Evaluating cell lines as models for metastatic cancer through integrative analysis of open genomic dataDOI 10.1101/337287Read

Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic dataSemantic proximity Read

Organoid generation from mouse mammary tumors captures the genetic heterogeneity of clinically relevant copy number alterationsSemantic proximity Read

A metastasis map of human cancer cell lines.Semantic proximity Read

Optimization of cell lines as tumour models by integrating multi-omics data.Semantic proximity Read

Transcriptome analysis of heterogeneity in mouse model of metastatic breast cancerSemantic proximity Read

Molecular Characterization and Landscape of Breast cancer Models from a multi-omics PerspectiveSemantic proximity Read

Integrating model systems and genomic insights to decipher mechanisms of cancer metastasisSemantic proximity Read

Non-Animal Models for Studying the Effects of Chemotherapeutic Drugs on Breast Cancer MetastasisSemantic proximity Read

Comprehensive comparison of molecular portraits between cell lines and tumors in breast cancerSemantic proximity Read

Multi-omics evaluation of cell lines as models for metastatic prostate cancer.Semantic proximity Read

Multi-omics evaluation of cell lines as models for metastatic prostate cancerSemantic proximity Read

Genomic and Epigenomic Characterization of Tumor Organoid ModelsSemantic proximity Read