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CRC samples for FOLFOX therapy prediction

ABSTRACT: The aim of this study is to identify responders to FOLFOX therapy by applying the Random Forests (RF) algorithm to gene expression data. Eighty-three unresectable colorectal cancer (CRC) patients including 42 responders and 41 non-responders were divided into training (54 patients) and test (29 patients) sets. Samples were divided (approximately 2:1 ratio) into training and test sets. As a result, 54 of 83 samples obtained in the first half of this period were selected for the training set, and the remaining 29 samples in the latter half were selected as the test set.

ORGANISM(S): Homo sapiens

SUBMITTER: Shingo Tsuji

PROVIDER: E-GEOD-28702 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Potential responders to FOLFOX therapy for colorectal cancer by Random Forests analysis.

Tsuji S S Midorikawa Y Y Takahashi T T Yagi K K Takayama T T Yoshida K K Sugiyama Y Y Aburatani H H

British journal of cancer 20111117 1

<h4>Background</h4>Molecular characterisation using gene-expression profiling will undoubtedly improve the prediction of treatment responses, and ultimately, the clinical outcome of cancer patients.<h4>Methods</h4>To establish the procedures to identify responders to FOLFOX therapy, 83 colorectal cancer (CRC) patients including 42 responders and 41 non-responders were divided into training (54 patients) and test (29 patients) sets. Using Random Forests (RF) algorithm in the training set, predict ...[more]

PMID: 22095227

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CRC samples for FOLFOX therapy prediction

Project description:The aim of this study is to identify responders to FOLFOX therapy by applying the Random Forests (RF) algorithm to gene expression data. Eighty-three unresectable colorectal cancer (CRC) patients including 42 responders and 41 non-responders were divided into training (54 patients) and test (29 patients) sets.

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Resistance to aerobic exercise training causes metabolic dysfunction and reveals novel exercise-regulated signaling networks

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Resistance to aerobic exercise training causes metabolic dysfunction and reveals novel exercise-regulated signaling networks

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2016-01-21 | E-GEOD-73002 | biostudies-arrayexpress

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