Expression of miRNAs in breast tumor from very youn women (<36) and women above 65 years old
Ontology highlight
ABSTRACT:
ORGANISM(S): synthetic construct Homo sapiens
PROVIDER: GSE48088 | GEO | 2014/09/12
SECONDARY ACCESSION(S): PRJNA208895
REPOSITORIES: GEO
Similar Datasets
Project description:miRNA expression from breast tumor tissue obtained from two groups of breast cancer (BC) patients: one group formed by women younger than 36 years and the other group by women older than 65 years. We selected breast tumor tissue samples from 21 women under 36 years old and 12 women above 65 years old, without BRCA mutation and without metastases. We selected a pool of samples in which all the subtypes were representated, in young patients as well as in older patients, to avoid expression biass. We add three samples from breast tissue of cancer-free women to minimize the age-related expression biass. Our aim was to compare miRNA expression between young women and older women, considering normal tissue as a reference.
2014-09-12 | E-GEOD-48088 | biostudies-arrayexpress
Project description:miRNA expression from breast tumor tissue obtained from two groups of breast cancer (BC) patients: one group formed by women younger than 36 years and the other group by women older than 65 years. We selected breast tumor tissue samples from 21 women under 36 years old and 12 women above 65 years old, without BRCA mutation and without metastases. We selected a pool of samples in which all the subtypes were representated, in young patients as well as in older patients, to avoid expression biass. We add three samples from breast tissue of cancer-free women to minimize the age-related expression biass. Our aim was to compare miRNA expression between young women and older women, considering normal tissue as a reference.
| S-ECPF-GEOD-48088 | biostudies-other
Project description:Breast cancer in very young women (< 35 years BCVY) presents more aggressive and complex biological features than in their older counterparts. In this study we aimed to identify the key pathways that may cause cancer in this younger age group. EPIC and 450k Illumina methylation arrays were used to identify differences in DNA methylation in 74 breast cancer tumours, including 37 from very young women. Additionally, we analysed copy number variation (CNV) and DNAm age using methylation intensities from Illumina Infinium MethylationEPIC BeadChip. Although we are able to identify aberrant CNV patterns in breast cancer samples, they were not highly specific to BCVY. However, we identified 2 219 CpG sites that were differently methylated in BCVY vs. older women (false discovery rate < 0.05 beta-value difference ± 0.1), with the general hypomethylation profile affecting genes involved in neuronal-system pathways, cell communication, and extracellular matrix organisation, as confirmed by our experimental data. Additionally, a specific hypermethylation profile comprising 502 CpG sites located mainly in open-sea regions distinguished BCVY from older patients. Pathway enrichment analysis showed that regions implicated in the hypermethylation profile were involved in regulating genes related to Notch signalling pathways, the immune system, DNA repair, and vesicular trafficking. Moreover, BCVY presented age acceleration comparing with older women. The expression of genes regulated by differentially-methylated CpG sites was validated using both Cancer Genome Atlas genomic data and by qRT-PCR, the latter in an independent sample (n = 40). This validation highlighted that 186 genes were consistently deregulated, including consistent hypomethylation and higher expression of HOXD9, PCDH10, and HDAC5 genes when considering BCVY vs. BC. Thus, we propose HDAC5 hypomethylation as a possible early detection biomarker in BCVY, and moreover, HDAC5 inhibitors, such as LMK-235, may be useful in treating breast cancer tumours in young women
2018-10-16 | GSE100850 | 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:Circulating microRNAs (c-miRNAs) have emerged as measurable biomarkers (liquid biopsies) for cancer detection. The goal of our study was to identify novel biomarkers to predict long-term breast cancer risk in cancer-free women. We evaluated the ability of c-miRNAs to identify women most likely to develop breast cancer by profiling miRNA from serum obtained long before diagnosis. 24 breast cancer cases and controls (matched for risk and age) were identified from women enrolled in the High-Risk Breast Program at the UVM Cancer Center. We used Affymetrix miRNA v4 microarrays to interrogate miRNAs (miRBase v20) in the serum of cancer-free women at high-risk for breast cancer. The 24 cases developed breast cancer at least 6 months (average of 3.2 years) and the 24 controls remain cancer-free.
2018-01-22 | GSE98181 | 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 Keywords: Retrospective analyses
2008-01-16 | GSE7849 | GEO
Project description:Identification for microRNA signatures to predict breast cancer recurrence in young women were performed through expression profiling of a total 2565 miRNAs in 45 samples diagnosed as invasive ducatal carcinoma of no special type (NST) cases which had been consecutively operated on within a defined short period of time.
2017-11-22 | GSE97811 | GEO
Project description:Fresh Atypical ductal hyperplasia (ADH) tissue collected from breast of a women who either (1) had no prior history of breast cancer and had not developed breast cancer in five years after diagnosis, (2) had cancer before ADH, or had cancer at the time as ADH or developed cancer after ADH diagnosis
2007-08-25 | E-GEOD-2429 | biostudies-arrayexpress
Project description:Five years of tamoxifen reduces breast cancer risk by nearly 50% but is associated with significant side-effects and toxicities. A better understanding of the direct and indirect effects of tamoxifen in benign breast tissue could elucidate new mechanisms of breast carcinogenesis, suggest novel chemoprevention targets, and provide relevant early response biomarkers for Phase II prevention trials. Seventy-three women at increased risk for breast cancer were randomized to tamoxifen (20 mg daily) or placebo for three months. Blood and breast tissue samples were collected at baseline and post-treatment. Sixty-nine women completed all study activities (37 tamoxifen and 32 placebo). The selected biomarkers focused on estradiol and IGFs in the blood, DNA methylation and cytology in random periareolar fine needle aspirates, and tissue morphometry, proliferation, apoptosis, and gene expression (microarray and RT-PCR) in the tissue core samples. Tamoxifen downregulated ets-oncogene family members ETV4 and ETV5 and reduced breast epithelial cell proliferation independent of CYP2D6 genotypes or effects on estradiol, ESR1 or IGFs. Reduction in proliferation was correlated with downregulation of ETV4 and DNAJC12. Tamoxifen also modulated expression of RAB GTPases, and several genes involved in epithelial-stromal interaction, and reduced tumor suppressor gene methylation. Three months of tamoxifen did not affect breast tissue composition, cytological atypia, preneoplasia or apoptosis. Tamoxifen may durably reduce breast cancer risk through downregulation of ETV4 and ETV5 which could deplete mammary progenitor populations. This pathway has the potential to provide novel targets and early response biomarkers for phase II prevention trials. Randomized prospective double blinded placebo-controlled trial of tamoxifen (20 mg daily) versus placeo in women at increased risk for breast cancer. Gene expression was assessed in whole breast tissue cores obtained at baseline and after three months of treatment for 35 women. Core biopsies were obtained in the late luteal phase (day 28 +/- 2) for premenopausal women (N = 19). Breast lobules from the baseline and post-treatment cores were microdissected for 5 tamoxifen subjects.
2011-07-21 | E-GEOD-29338 | biostudies-arrayexpress
Project description:Background: The development competence of human oocytes declines with increasing age. The objective of this study was to investigate the effect of age on gene expression profile in mature human oocytes.<br>Methods: mRNA was isolated for whole genome gene expression microarray analysis from metaphase II (MII) oocytes donated by IVF or ICSI patients (10 women aged <36 years (younger) and 5 women aged 36-39 years (both inclusive) (older)) undergoing controlled ovarian simulation
2009-12-31 | E-MEXP-2347 | biostudies-arrayexpress