Unknown

Dataset Information

A Gene Expression Signature Predicts Bladder Cancer Cell Line Sensitivity to EGFR Inhibition.


ABSTRACT:

Background

Bladder cancer remains a cancer type in need of novel and alternative therapies. While multiple inhibitors of EGFR have been evaluated for efficacy in bladder cancer, the results have largely been disappointing with few patients responding to these therapies. Yet, there is a subset of patients that positively responds to EGFR inhibition with tumor shrinkage, indicating it is an effective treatment for a targeted set of bladder tumors.

Objective

To derive a gene expression signature capable of predicting the response to EGFR inhibition in bladder cancer cell lines.

Methods

he response to cetuximab for 68 colorectal cancer patients was used as training data to generate a gene expression signature. We applied this signature to bladder cancer cell lines and pre

SUBMITTER: Goodspeed A 

PROVIDER: S-EPMC6087449 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Sorry, this publication's infomation has not been loaded in the Indexer, please go directly to PUBMED or Altmetric.

Similar Datasets