Genomics

Dataset Information

7

Prediction of response to anti-EGFR antibody-based therapies by multigene sequencing in colorectal cancer patients


ABSTRACT: We investigated a panel of 21 genes by parallel sequencing on the Ion Torrent Personal Genome Machine platform. We sequenced 65 CRCs that were treated with cetuximab or panitumumab ( 37 samples were responsive and 28 were resistant).

INSTRUMENT(S): Ion Torrent PGM

ORGANISM(S): Homo Sapiens

DISEASE(S): Colorectal Adenocarcinoma

SUBMITTER: Laura Lupini   Cristian Bassi  

PROVIDER: E-MTAB-3883 | ArrayExpress | 2015-10-22

REPOSITORIES: ArrayExpress

Dataset's files

Source:
Action DRS
E-MTAB-3883.ID-5035.bam Bam
E-MTAB-3883.ID_5031.bam Bam
E-MTAB-3883.ID_5032.bam Bam
E-MTAB-3883.ID_5033.bam Bam
E-MTAB-3883.ID_5034.bam Bam
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Publications

Prediction of response to anti-EGFR antibody-based therapies by multigene sequencing in colorectal cancer patients.

Lupini Laura L   Bassi Cristian C   Mlcochova Jitka J   Musa Gentian G   Russo Marta M   Vychytilova-Faltejskova Petra P   Svoboda Marek M   Sabbioni Silvia S   Nemecek Radim R   Slaby Ondrej O   Negrini Massimo M  

BMC cancer 20151027


<h4>Background</h4>The anti-epidermal growth factor receptor (EGFR) monoclonal antibodies (moAbs) cetuximab or panitumumab are administered to colorectal cancer (CRC) patients who harbor wild-type RAS proto-oncogenes. However, a percentage of patients do not respond to this treatment. In addition to mutations in the RAS genes, mutations in other genes, such as BRAF, PI3KCA, or PTEN, could be involved in the resistance to anti-EGFR moAb therapy.<h4>Methods</h4>In order to develop a comprehensive  ...[more]

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