Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Transcription profiling of human CLL - a genomic approach to improve prognosis and predict therapeutic response in chronic lymphocytic leukemia - super series


ABSTRACT: This SuperSeries is composed of the following subset Series:; GSE10137: A Genomic Approach to Improve Prognosis and Predict Therapeutic Response in Chronic Lymphocytic Leukemia (Mayo_Ohio); GSE10138: A Genomic Approach to Improve Prognosis and Predict Therapeutic Response in Chronic Lymphocytic Leukemia (Duke_VA) Experiment Overall Design: Refer to individual Series

ORGANISM(S): Homo sapiens

SUBMITTER: Daphne Friedman 

PROVIDER: E-GEOD-10139 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

A genomic approach to improve prognosis and predict therapeutic response in chronic lymphocytic leukemia.

Friedman Daphne R DR   Weinberg J Brice JB   Barry William T WT   Goodman Barbara K BK   Volkheimer Alicia D AD   Bond Karen M KM   Chen Youwei Y   Jiang Ning N   Moore Joseph O JO   Gockerman Jon P JP   Diehl Louis F LF   Decastro Carlos M CM   Potti Anil A   Nevins Joseph R JR  

Clinical cancer research : an official journal of the American Association for Cancer Research 20091027 22


<h4>Purpose</h4>Chronic lymphocytic leukemia (CLL) is a B-cell malignancy characterized by a variable clinical course. Several parameters have prognostic capabilities but are associated with altered response to therapy in only a small subset of patients.<h4>Experimental design</h4>We used gene expression profiling methods to generate predictors of therapy response and prognosis. Genomic signatures that reflect progressive disease and responses to chemotherapy or chemoimmunotherapy were created u  ...[more]

Similar Datasets

2009-11-11 | E-GEOD-10137 | biostudies-arrayexpress
2009-11-11 | E-GEOD-10138 | biostudies-arrayexpress
| PRJNA108687 | ENA
| PRJNA108981 | ENA
| PRJNA108983 | ENA
2010-09-01 | E-TABM-825 | biostudies-arrayexpress
2011-10-13 | E-GEOD-25571 | biostudies-arrayexpress
2020-01-09 | MODEL2001090002 | BioModels
2015-08-31 | E-GEOD-66922 | biostudies-arrayexpress
2012-10-12 | E-GEOD-38618 | biostudies-arrayexpress