PT  - JOURNAL ARTICLE
AU  - Mariano J. Alvarez
AU  - Pengrong Yan
AU  - Mary L. Alpaugh
AU  - Michaela Bowden
AU  - Ewa Sicinska
AU  - Chensheng W. Zhou
AU  - Charles Karan
AU  - Ronald B. Realubit
AU  - Prabhjot S. Mundi
AU  - Adina Grunn
AU  - Dirk Jäger
AU  - John A. Chabot
AU  - Antonio T. Fojo
AU  - Paul E. Oberstein
AU  - Hanina Hibshoosh
AU  - Jeffrey W. Milsom
AU  - Matthew H. Kulke
AU  - Massimo Loda
AU  - Gabriela Chiosis
AU  - Diane L. Reidy-Lagunes
AU  - Andrea Califano
TI  - Unbiased Assessment of H-STS cells as high-fidelity models for gastro-enteropancreatic neuroendocrine tumor drug mechanism of action analysis
AID  - 10.1101/677435
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 677435
4099  - http://biorxiv.org/content/early/2019/06/23/677435.short
4100  - http://biorxiv.org/content/early/2019/06/23/677435.full
AB  - Quantitative metrics to objectively assess the fidelity of cancer models, such as cell lines, organoids, or patient-derived xenografts (PDXs), remain elusive, with histological criteria or the presence of specific mutations often used as driving principles. We show that molecular criteria, based on the regulatory proteins responsible for maintaining transcriptional cell state and its regulatory network, are effective in identifying models that can recapitulate drug mechanism of action and drug sensitivity, independent of histological consideration.