STANDARD_NAME VANTVEER_BREAST_CANCER_BRCA1_UP SYSTEMATIC_NAME M16737 COLLECTION C2:CGP MSIGDB_URL https://www.gsea-msigdb.org/gsea/msigdb/human/geneset/VANTVEER_BREAST_CANCER_BRCA1_UP NAMESPACE HUMAN_SEQ_ACCESSION DESCRIPTION_BRIEF Up-regulated genes from the optimal set of 100 markers discriminating ER(-) breast cancer tumors by BRCA1 [GeneID=672] mutation status. DESCRIPTION_FULL Breast cancer patients with the same stage of disease can have markedly different treatment responses and overall outcome. The strongest predictors for metastases (for example, lymph node status and histological grade) fail to classify accurately breast tumours according to their clinical behaviour. Chemotherapy or hormonal therapy reduces the risk of distant metastases by approximately one-third; however, 70-80% of patients receiving this treatment would have survived without it. None of the signatures of breast cancer gene expression reported to date allow for patient-tailored therapy strategies. Here we used DNA microarray analysis on primary breast tumours of 117 young patients, and applied supervised classification to identify a gene expression signature strongly predictive of a short interval to distant metastases ('poor prognosis' signature) in patients without tumour cells in local lymph nodes at diagnosis (lymph node negative). In addition, we established a signature that identifies tumours of BRCA1 carriers. The poor prognosis signature consists of genes regulating cell cycle, invasion, metastasis and angiogenesis. This gene expression profile will outperform all currently used clinical parameters in predicting disease outcome. Our findings provide a strategy to select patients who would benefit from adjuvant therapy. PMID 11823860 GEOID AUTHORS van 't Veer LJ,Dai H,van de Vijver MJ,He YD,Hart AA,Mao M,Peterse HL,van der Kooy K,Marton MJ,Witteveen AT,Schreiber GJ,Kerkhoven RM,Roberts C,Linsley PS,Bernards R,Friend SH CONTRIBUTOR Arthur Liberzon CONTRIBUTOR_ORG MSigDB Team EXACT_SOURCE Table 4S: top 100 with |correlation| > 0.3 & correlation > 0.3 FILTERED_BY_SIMILARITY EXTERNAL_NAMES_FOR_SIMILAR_TERMS EXTERNAL_DETAILS_URL SOURCE_MEMBERS AB004857,AF000974,AL133572,Contig10268_RC,Contig14390_RC,Contig25617_RC,Contig26022_RC,Contig3940_RC,Contig44278_RC,Contig60393,Contig842_RC,Contig9259_RC,D26488,D80001,G26403,K02276,M28170,NM_001179,NM_001770,NM_001960,NM_002200,NM_002250,NM_002542,NM_002709,NM_002982,NM_003683,NM_003729,NM_003904,NM_004848,NM_006235,NM_006296,NM_006875,NM_007070,NM_007358,NM_013378,NM_014597,NM_014878,NM_015523,NM_015640,NM_015984,NM_016223,NM_016820,NM_018188,NM_019049,NM_019063,X58529,X66087,X72475 GENE_SYMBOLS SLC11A2,TRIP6,KDM2B,,,,,,,,,,WDR43,RRP1B,,MYC,,ART3,CD19,EEF1D,,KCNN4,OGG1,PPP1CB,CCL2,RRP1,RTCA,ZPR1,THEMIS2,POU2AF1,VRK2,PIM2,GLMN,MTF2,VPREB3,DNTTIP2,PUM3,REXO2,SERBP1,UCHL5,PACSIN3,OGG1,ATAD3A,DENND1B,EML4,IGHM,MYBL1, FOUNDER_NAMES