Expression data from age-dichotomized ER+ breast tumors
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE8193 | GEO | 2007/09/12
SECONDARY ACCESSION(S): PRJNA101101
REPOSITORIES: GEO
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Project description:To investigate the biological basis between aging and sporadic breast cancer incidence and prognosis, DNA samples from matched ER+ invasive breast cancers diagnosed in either young (<45) or old (>70) women were analyzed with aCGH Keywords: biomarker identification
2007-09-12 | GSE8801 | GEO
Project description:To investigate the biological basis between aging and sporadic breast cancer incidence and prognosis, RNA samples from matched ER+ invasive breast cancers diagnosed in either young (â?¤45) or old (â?¥70) women were analyzed by expression microarrays Experiment Overall Design: ER+ breast cancers collected from either young or old women, well matched for other clinical parameters were analyzed using expression microarrays. Age associated tumor subtypes and enrichment of pre-defined gene signatures were identified. Age associated differential expression and an age signature (gene-based classifier) was assessed
2008-06-16 | E-GEOD-8193 | biostudies-arrayexpress
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2017-11-22 | GSE97811 | GEO
Project description:We have analyzed, using DNA microarrays, putative differences in gene-expression level between hereditary BRCA1 mutation-linked and sporadic breast cancer. Our results show that a previously reported marked difference between BRCA1-mutation linked and sporadic breast cancer was probably due to uneven stratification of samples with different ER status and basal-like versus luminal-like subtype. We observed that apparent difference between BRCA1-linked and other types of breast cancer found in univariate analysis was diminished when data were corrected for ER status and molecular subtype in multivariate analyses. In fact, the difference in gene expression pattern of BRCA1-mutated and sporadic cancer is very discrete. These conclusions were supported by the results of Q-PCR validation. We also found that BRCA1 gene inactivation due to promoter hypermethylation had similar effect on general gene expression profile as mutation-induced protein truncation. This suggests that in the molecular studies of hereditary breast cancer, BRCA1 gene methylation should be recognized and considered together with gene mutation. We analyzed 35 breast cancer specimens. Surgical samples obtained during mastectomy were flash-frozen in liquid nitrogen and stored at -80°C. Only samples from patients without neoadjuvant chemotherapy were used in this study as chemotherapy may seriously affect gene expression profile. All tissue samples were collected at the Pomeranian Medical University in Szczecin. Seventeen tumor samples were collected from patients with hereditary breast cancer: 12 were derived from tumors affecting women with hereditary BRCA1 mutation, the only one from a woman with BRCA2 mutation, while another eight cases had familial history of breast/ovarian cancer, but were negative for the BRCA1/2 mutations (so called BRCAx cases). Proportion of BRCA1 and BRCA2 mutated tumors was typical for the Polish population. Ten samples were derived from patients with apparently sporadic disease (no familial history of cancer) while 4 patients had a history of familial cancer aggregation (FCA) but without prevalence of breast/ovarian cancers. Thus, these samples were merged with sporadic samples in most of the analyses. All BRCA1 mutation-linked tumors in our study were negative for estrogen receptor (by immunohistochemistry, standard procedures for ER, PGR and HER2 staining were applied), while the only BRCA2-mutated tumor was ER-positive. There were 26 ductal and 5 medullary carcinomas within the study group, which is consistent with the distribution of histopathological types in BRCA1 mutation carriers. Patients were diagnosed at stage T1-2, N0-1 and M0. Caution: this submission contains the data from 6 microarrays done on the normal/pathologically unchanged breast tissue from breast cancer patiets. The data from normal tissues was not analyzed in the paper BRCA1-related gene signature in breast cancer is strongly influenced by ER status and molecular type by Lisowska et al., 2011, Front Biosci (Elite Ed). 2011 Jan 1;3:125-36
2013-09-05 | E-GEOD-50567 | biostudies-arrayexpress
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2023-11-30 | GSE239907 | GEO
Project description:Signaling pathways that converge on two different transcription factor complexes, NFκB and AP-1, have been identified in estrogen receptor (ER)-positive breast cancers resistant to the antiestrogen, tamoxifen. In this study, biomarkers co-ordinately up-regulated by NFKB and AP-1 with prognositic significance are identified in a largely TAM-treated set of ER+ node negative breast cancers. The prognostic value with respect to age is also investigated. Keywords: biomarker identification
2007-04-02 | GSE7378 | GEO
Project description:Breast cancer arising in young women has a poorer prognosis, is less likely to be hormone sensitive, and represents a particularly challenging clinical entity. The biology driving the aggressive nature of breast cancer arising in young women has yet to be defined. Among 784 patients with early stage breast cancer, using prospectively-defined, age-specific cohorts (young <= 45 years; older >= 65 years), 411 eligible patients (n = 200 < 45 years; n = 211 >= 65 years) with clinically-annotated Affymetrix microarray data were identified. Gene set enrichment analyses, signatures of oncogenic pathway deregulation and predictors of chemotherapy sensitivity were evaluated within the two age-defined cohorts. In comparing deregulation of oncogenic pathways between age groups, a statistically higher probability of PI3K (p = 0.006) and Myc (p = 0.03) pathway deregulation was observed in the tumors of younger women. When evaluating unique patterns of pathway deregulation, a low probability of Src and E2F deregulation in tumors of younger women, concurrent with activation of PI3K, Myc, and beta-catenin, conferred a worse prognosis (HR = 4.15; p = 0.008). In contrast, a higher probability of Src and E2F pathway activation in tumors of older women, concurrent low probability of PI3K, Myc and beta-catenin deregulation, was associated with a poorer outcome (HR = 2.7; p = 0.006). Similar pathway differences were identified using gene set enrichment analysis. Importantly, in multivariate analyses including clinico-pathologic variables, genomic clusters of pathway deregulation were identified to be independent predictors of disease-free survival. Finally, a significant relationship (p = 0.02) between anthracycline sensitivity and genomic clusters was observed among women aged >= 65 years. Submitters do not have approval to publish the .CEL files Experiment Overall Design: n=78
2008-06-15 | E-GEOD-7849 | biostudies-arrayexpress
Project description:Breast cancer arising in young women has a poorer prognosis, is less likely to be hormone sensitive, and represents a particularly challenging clinical entity. The biology driving the aggressive nature of breast cancer arising in young women has yet to be defined. Among 784 patients with early stage breast cancer, using prospectively-defined, age-specific cohorts (young <= 45 years; older >= 65 years), 411 eligible patients (n = 200 < 45 years; n = 211 >= 65 years) with clinically-annotated Affymetrix microarray data were identified. Gene set enrichment analyses, signatures of oncogenic pathway deregulation and predictors of chemotherapy sensitivity were evaluated within the two age-defined cohorts. In comparing deregulation of oncogenic pathways between age groups, a statistically higher probability of PI3K (p = 0.006) and Myc (p = 0.03) pathway deregulation was observed in the tumors of younger women. When evaluating unique patterns of pathway deregulation, a low probability of Src and E2F deregulation in tumors of younger women, concurrent with activation of PI3K, Myc, and beta-catenin, conferred a worse prognosis (HR = 4.15; p = 0.008). In contrast, a higher probability of Src and E2F pathway activation in tumors of older women, concurrent low probability of PI3K, Myc and beta-catenin deregulation, was associated with a poorer outcome (HR = 2.7; p = 0.006). Similar pathway differences were identified using gene set enrichment analysis. Importantly, in multivariate analyses including clinico-pathologic variables, genomic clusters of pathway deregulation were identified to be independent predictors of disease-free survival. Finally, a significant relationship (p = 0.02) between anthracycline sensitivity and genomic clusters was observed among women aged >= 65 years. Submitters do not have approval to publish the .CEL files Keywords: Retrospective analyses
2008-01-16 | GSE7849 | GEO
Project description:Background: Age is the strongest breast cancer risk factor, with overall breast cancer risk increasing steadily beginning at approximately 30 years of age. However, while breast cancer risk is lower among younger women, young women’s breast cancer may be more aggressive. Though several genomic and epidemiologic studies have shown higher prevalence of aggressive, estrogen-receptor negative breast cancer in younger women, the age-related gene expression that predisposes to these tumors is poorly understood. Characterizing age-related patterns of gene expression in normal breast tissues may provide insights on etiology of distinct breast cancer subtypes that arise from these tissues. Methods: To identify age-related changes in normal breast tissue, 96 tissue specimens from reduction mammoplasty patients aged 14 to 70 were assayed by gene expression microarray. Results: Significant associations between gene expression levels and age were identified for 802 probes (481 increased, 321 decreased with increasing age). Enriched functions included ‘aging of cells’, ‘shape change’, and ‘chemotaxis’, and enriched pathways included Wnt/beta-catenin signaling, Ephrin Receptor Signaling, and JAK/Stat Signaling. Applying the age-associated genes to publicly available tumor datasets, the age-associated pathways defined two groups of tumors with distinct survival. Conclusion: The hazard rates of young-like tumors mirrored that of high grade tumors in the Surveillance, Epidemiology and End Results Program, providing a biological link between normal aging and age-related tumor aggressiveness. Impact: These data show that studies of normal tissue gene expression can yield important insights about the pathways and biological pressures that are relevant during tumor etiology and progression. reference x sample
2013-08-31 | E-GEOD-43973 | biostudies-arrayexpress
Project description:Background: Age is the strongest breast cancer risk factor, with overall breast cancer risk increasing steadily beginning at approximately 30 years of age. However, while breast cancer risk is lower among younger women, young women’s breast cancer may be more aggressive. Though several genomic and epidemiologic studies have shown higher prevalence of aggressive, estrogen-receptor negative breast cancer in younger women, the age-related gene expression that predisposes to these tumors is poorly understood. Characterizing age-related patterns of gene expression in normal breast tissues may provide insights on etiology of distinct breast cancer subtypes that arise from these tissues. Methods: To identify age-related changes in normal breast tissue, 96 tissue specimens from reduction mammoplasty patients aged 14 to 70 were assayed by gene expression microarray. Results: Significant associations between gene expression levels and age were identified for 802 probes (481 increased, 321 decreased with increasing age). Enriched functions included ‘aging of cells’, ‘shape change’, and ‘chemotaxis’, and enriched pathways included Wnt/beta-catenin signaling, Ephrin Receptor Signaling, and JAK/Stat Signaling. Applying the age-associated genes to publicly available tumor datasets, the age-associated pathways defined two groups of tumors with distinct survival. Conclusion: The hazard rates of young-like tumors mirrored that of high grade tumors in the Surveillance, Epidemiology and End Results Program, providing a biological link between normal aging and age-related tumor aggressiveness. Impact: These data show that studies of normal tissue gene expression can yield important insights about the pathways and biological pressures that are relevant during tumor etiology and progression.
2013-08-31 | GSE43973 | GEO