Genomics

Dataset Information

0

Ena-DATASET-MPIMG-04-05-2016-11:02:55:430-98 - samples


ABSTRACT: RNAseq of Patient-derived xenograft derived from colorectal cancer metastasis sample

PROVIDER: EGAD00001002076 | EGA |

REPOSITORIES: EGA

altmetric image

Publications

Molecular dissection of colorectal cancer in pre-clinical models identifies biomarkers predicting sensitivity to EGFR inhibitors.

Schütte Moritz M   Risch Thomas T   Abdavi-Azar Nilofar N   Boehnke Karsten K   Schumacher Dirk D   Keil Marlen M   Yildiriman Reha R   Jandrasits Christine C   Borodina Tatiana T   Amstislavskiy Vyacheslav V   Worth Catherine L CL   Schweiger Caroline C   Liebs Sandra S   Lange Martin M   Warnatz Hans-Jörg HJ   Butcher Lee M LM   Barrett James E JE   Sultan Marc M   Wierling Christoph C   Golob-Schwarzl Nicole N   Lax Sigurd S   Uranitsch Stefan S   Becker Michael M   Welte Yvonne Y   Regan Joseph Lewis JL   Silvestrov Maxine M   Kehler Inge I   Fusi Alberto A   Kessler Thomas T   Herwig Ralf R   Landegren Ulf U   Wienke Dirk D   Nilsson Mats M   Velasco Juan A JA   Garin-Chesa Pilar P   Reinhard Christoph C   Beck Stephan S   Schäfer Reinhold R   Regenbrecht Christian R A CR   Henderson David D   Lange Bodo B   Haybaeck Johannes J   Keilholz Ulrich U   Hoffmann Jens J   Lehrach Hans H   Yaspo Marie-Laure ML  

Nature communications 20170210


Colorectal carcinoma represents a heterogeneous entity, with only a fraction of the tumours responding to available therapies, requiring a better molecular understanding of the disease in precision oncology. To address this challenge, the OncoTrack consortium recruited 106 CRC patients (stages I-IV) and developed a pre-clinical platform generating a compendium of drug sensitivity data totalling >4,000 assays testing 16 clinical drugs on patient-derived in vivo and in vitro models. This large bio  ...[more]

Similar Datasets

| EGAD00001002075 | EGA
| EGAD00001002087 | EGA
| EGAD00001002098 | EGA
| EGAD00001002106 | EGA
| EGAD00001002097 | EGA
| EGAD00001002086 | EGA
| S-EPMC4145412 | biostudies-literature
| EGAD00001003366 | EGA
| EGAD00001002073 | EGA
| EGAD00001002081 | EGA