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Dataset Information

Integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance.


ABSTRACT:

Background

Targeted therapies specifically act by blocking the activity of proteins that are encoded by genes critical for tumorigenesis. However, most cancers acquire resistance and long-term disease remission is rarely observed. Understanding the time course of molecular changes responsible for the development of acquired resistance could enable optimization of patients' treatment options. Clinically, acquired therapeutic resistance can only be studied at a single time point in resistant tumors.

Methods

To determine the dynamics of these molecular changes, we obtained high throughput omics data (RNA-sequencing and DNA methylation) weekly during the development of cetuximab resistance in a head and neck cancer in vitro model. The CoGAPS unsupervised algorithm was used to de

SUBMITTER: Stein-O'Brien G 

PROVIDER: S-EPMC5966898 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature