Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Genomic copy number alterations as predictive markers of systemic recurrence in breast cancer

ABSTRACT: Array CGH containing 4,044 human bacterial artificial chromosome clones was used to assess copy number changes in 31 pairs of clinicopathologically well matched recurred / nonrecurred breast cancer tissues. Array CGH containing 4,044 human bacterial artificial chromosome clones was used to assess copy number changes in 31 pairs of clinicopathologically well matched recurred / nonrecurred breast cancer tissues.

ORGANISM(S): Homo sapiens

SUBMITTER: Ki-Tae Hwang

PROVIDER: E-GEOD-10128 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

DNA copy number alterations and expression of relevant genes in triple-negative breast cancer.

Han Wonshik W Jung Eun-Mi EM Cho Jihyoung J Lee Jong Won JW Hwang Ki-Tae KT Yang Song-Ju SJ Kang Jason Jongho JJ Bae Ji-Yeon JY Jeon Yoon Kyung YK Park In-Ae IA Nicolau Monica M Jeffrey Stefanie S SS Noh Dong-Young DY

Genes, chromosomes & cancer 20080601 6

Triple-negative breast cancer (TNBC) is defined by a lack of expression of estrogen, progesterone, and HER2 receptors, and genetically most of them fall into the basal subgroup of breast cancer. The important issue of TNBC is poorer clinical outcome and absence of effective targeted therapy. In this study, we sought to identify DNA copy number alterations and expression of relevant genes characteristic of TNBC to discover potential therapeutic targets. Frozen tissues from 114 breast cancers were ...[more]

PMID: 18314908

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Dataset Information

Genomic copy number alterations as predictive markers of systemic recurrence in breast cancer

Publications

DNA copy number alterations and expression of relevant genes in triple-negative breast cancer.

Similar Datasets

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